diff --git a/.env.template b/.env.template new file mode 100644 index 0000000000000000000000000000000000000000..f812d6c1739cac46ffec115b92731403c270a90f --- /dev/null +++ b/.env.template @@ -0,0 +1,35 @@ +# .env.template — copy to .env and fill values + +# === Model Configuration === +MEDASR_MODEL_ID=google/medasr +MEDGEMMA_4B_MODEL_ID=google/medgemma-1.5-4b-it +MEDGEMMA_27B_MODEL_ID=google/medgemma-27b-text-it +HF_TOKEN=hf_xxxxxxxxxxxxxxxxxxxx +QUANTIZE_4BIT=true +USE_FLASH_ATTENTION=true + +# === FHIR Configuration === +FHIR_SERVER_URL=http://localhost:8080/fhir +USE_MOCK_FHIR=true +FHIR_TIMEOUT_S=10 + +# === Application Configuration === +APP_HOST=0.0.0.0 +APP_PORT=7860 +LOG_LEVEL=INFO +MAX_AUDIO_DURATION_S=1800 +PIPELINE_TIMEOUT_S=120 +DOC_GEN_MAX_TOKENS=2048 +DOC_GEN_TEMPERATURE=0.3 + +# === Fine-tuning (optional, Phase 4) === +WANDB_API_KEY= +WANDB_PROJECT=clarke-finetuning +LORA_RANK=16 +LORA_ALPHA=32 +LORA_DROPOUT=0.05 +TRAINING_EPOCHS=3 +LEARNING_RATE=2e-4 +BATCH_SIZE=2 +GRAD_ACCUM_STEPS=8 +MAX_SEQ_LENGTH=4096 diff --git a/.gitattributes b/.gitattributes index d899f6551a51cf19763c5955c7a06a2726f018e9..11cf8a08c6db9bb055e6ebd383eca56eda91f951 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1 +1,2 @@ *.wav filter=lfs diff=lfs merge=lfs -text +*.aiff filter=lfs diff=lfs merge=lfs -text diff --git a/.gitignore b/.gitignore index b7faf403d915ca307532bb0eb9cceaf0214e8e5b..633dc60b72402cc132d10ac68ce5a60a40bb0f37 100644 --- a/.gitignore +++ b/.gitignore @@ -205,3 +205,13 @@ cython_debug/ marimo/_static/ marimo/_lsp/ __marimo__/ + +# Clarke runtime artifacts +logs/ +models/ +*.pt +*.bin +*.safetensors +*.ckpt +*.wav +!data/demo/*.wav diff --git a/Additional Competition Context.md b/Additional Competition Context.md new file mode 100644 index 0000000000000000000000000000000000000000..e62b8eb19f67abf75b944ab933a6a7981b1833bc --- /dev/null +++ b/Additional Competition Context.md @@ -0,0 +1,339 @@ +# **Additional Competition Context — MedGemma Impact Challenge** + +*Compiled 2026-02-12 from systematic review of Kaggle competition pages, discussions, rules, and HAI-DEF developer documentation.* + +### **Key NEW findings not in Clarke spec:** + +1. **Submission is a Kaggle Writeup (not a file upload)** — created via the Writeups tab, with a Submit button. One submission per team, can re-submit. +2. **3 pages \= \~1,500 words** (host clarification). With images, aim for 1,000-1,200 words. +3. **12 named judges** — all Google Research/Health AI staff. Profiles documented. +4. **Judged as DEMO, not production** — Yun Liu explicitly said regulatory pathway is NOT the focus. Focus is technical demonstration. +5. **Non-commercial training data is OK** — Daniel Golden confirmed. Model weights release is BONUS not required. +6. **MedGemma 4B has known instruction-following bugs** — leaks system prompts, generates meta-commentary. Risk for Clarke's EHR pipeline. +7. **MedGemma 27B deployment is very hard** — needs \~54GB VRAM, Vertex AI A100 quotas being rejected. Unsloth GGUF quantizations available via Ollama (Q8\_0 \= 31.8GB). +8. **MedGemma 1.5 4B adds EHR understanding** — directly relevant to Clarke. Should use 1.5 not 1.0. +9. **MedASR runs in-browser via ONNX/WebGPU** — someone built it, could strengthen Edge AI track claim. +10. **Only 129 submissions from 5,855 entrants** — competitive field may be smaller than expected. +11. **Google explicitly suggests agentic orchestration** in their MedGemma docs — validates Clarke's architecture. + +--- + +## **1\. Submission Requirements** + +### **Submission Format: Kaggle Writeup (NOT a file upload)** + +* Your submission is a **Kaggle Writeup** attached to the competition's Writeups page — not a PDF or file upload. Create via the "New Writeup" button at: [https://www.kaggle.com/competitions/med-gemma-impact-challenge/writeups](https://www.kaggle.com/competitions/med-gemma-impact-challenge/writeups) +* After saving your Writeup, click the **"Submit"** button in the top right corner. +* Each team gets **one (1) Writeup submission only**, but it can be un-submitted, edited, and re-submitted unlimited times before the deadline. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Submission Instructions section) + +### **3-Page Limit Clarification** + +* The "3 pages" translates to **\~1,500 words** single-spaced. If using charts/images/code blocks, aim for **1,000–1,200 words** of text. +* **Source:** Fereshteh Mahvar (Competition Host) at [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/671156](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/671156) + +### **Required Links in Writeup** + +* **Required:** Video (3 min or less) +* **Required:** Public code repository +* **Bonus:** Public interactive live demo app +* **Bonus:** Open-weight Hugging Face model tracing to a HAI-DEF model +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Submission Instructions) + +### **Track Selection** + +* All submissions automatically compete in the **Main Track**. +* You may select **one** special award prize (Agentic Workflow, Novel Task, or Edge AI). +* If you select multiple special awards, only one will be considered (randomly selected). +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Choosing a Track) + +### **Writeup Template (exact structure required)** + +\#\#\# Project name +\#\#\# Your team \[Name members, speciality, role\] +\#\#\# Problem statement \[Problem domain \+ Impact potential criteria\] +\#\#\# Overall solution \[Effective use of HAI-DEF models criterion\] +\#\#\# Technical details \[Product feasibility criterion\] + +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Proposed Writeup template) + +### **Private Resources Warning** + +* If you attach a **private** Kaggle Resource to your public Writeup, it will be **automatically made public** after the deadline. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) + +### **Submissions Must Be in English** + +* Confirmed by María Cruz (Kaggle Staff). +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/667660](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/667660) + +--- + +## **2\. Judging Details** + +### **Full Judge Panel (12 judges)** + +| Judge | Role | +| ----- | ----- | +| Fereshteh Mahvar | Staff Medical Software Engineer & Solutions Architect, Google Health AI | +| Omar Sanseviero | Developer Experience Lead, Google DeepMind | +| Glenn Cameron | Sr. PMM, Google | +| Can "John" Kirmizi | Software Engineer, Google Research | +| Andrew Sellergren | Software Engineer, Google Research | +| Dave Steiner | Clinical Research Scientist, Google | +| Sunny Virmani | Group Product Manager, Google Research | +| Liron Yatziv | Research Engineer, Google Research | +| Daniel Golden | Engineering Manager, Google Research | +| Yun Liu | Research Scientist, Google Research | +| Rebecca Hemenway | Health AI Strategic Partnerships, Google Research | +| Fayaz Jamil | Technical Program Manager, Google Research | + +**Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Judges section) + +### **Evaluation is Through Demonstration Application Lens** + +* Judges evaluate through the lens of a **demonstration application, NOT a finished product**. +* Regulatory pathway, HIPAA/GDPR compliance, etc. are **not the focus** of evaluation criteria — though you may include them. +* Quote from Yun Liu (Competition Host): *"The focus of the evaluation criteria is the technical aspects of the demonstration application. Each evaluation criteria will be judged through the lens of a demonstration application and not a finished product."* +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/668280](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/668280) + +### **Execution & Communication is the Highest-Weighted Category (30%)** + +* Judges look for a **"cohesive and compelling narrative across all submitted materials"** that articulates how you meet the rest of the criteria. +* Assess: clarity/polish/effectiveness of video demo, completeness/readability of writeup, quality of source code (organization, comments, reusability). +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Evaluation Criteria table) + +--- + +## **3\. Rules & Restrictions** + +### **Team Size** + +* Maximum **5 members** per team. +* Team mergers allowed before Team Merger Deadline. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules](https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules) (Section 2.1) + +### **One Submission Per Team** + +* For Hackathons, each team is allowed **one (1) Submission**. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules](https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules) (Section 2.2) + +### **Winner License: CC BY 4.0** + +* Winning submissions must be licensed under **CC BY 4.0** (code and demos). +* For generally commercially available software you used but don't own, you don't need to grant that license. +* For input data or pretrained models with incompatible licenses used to generate your winning solution, you **don't need to grant** open source license for that data/model. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules](https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules) (Section 2.5) + +### **Non-Commercial Data is Allowed for Training** + +* Using public, research-only / non-commercial external datasets during development is **permitted**. +* Participation in a Kaggle challenge is **not considered commercial use**. +* Releasing final model weights is a **bonus, not a requirement**. +* Daniel Golden (Competition Host) quote: *"You are permitted to use data and other code sources during development that are governed under other, potentially more restrictive licenses."* +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/671596](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/671596) + +### **External Data & Tools** + +* External data allowed if **publicly available and equally accessible** to all participants at no cost, or meets the "Reasonableness Standard". +* Use of HAI-DEF and MedGemma subject to **HAI-DEF Terms of Use**: [https://developers.google.com/health-ai-developer-foundations/terms](https://developers.google.com/health-ai-developer-foundations/terms) +* Automated ML tools (AutoML, H2O, etc.) are permitted with appropriate licensing. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules](https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules) (Section 2.6) + +### **HAI-DEF Terms Key Restrictions** + +* **"Clinical Use"** (diagnosis/treatment of patients) requires Health Regulatory Authorization — this doesn't apply to a demo/competition context. +* HAI-DEF source code licensed under **Apache 2.0**. +* Models are free for research and commercial use. +* **Source:** [https://developers.google.com/health-ai-developer-foundations/terms](https://developers.google.com/health-ai-developer-foundations/terms) + +### **Mandatory HAI-DEF Model Usage** + +* Use of **at least one HAI-DEF model** (such as MedGemma) is **mandatory**. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Effective use of HAI-DEF models criterion) + +### **Eligibility** + +* Must be 18+, registered on Kaggle, not resident of sanctioned countries. +* Competition Entities (Google, Kaggle employees) can participate but **cannot win prizes**. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules](https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules) (Section 2.7, 3.1) + +### **Winner's Obligations** + +* Deliver final model's software code \+ documentation. +* Code must be capable of generating the winning submission. +* Must describe resources required to build/run. +* For hackathons, deliverables are as described on the competition website (may not be software code). +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules](https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules) (Section 2.8) + +### **No Cloud Credits Provided** + +* Multiple competitors asked about GCP credits / Colab compute — no response from organizers confirming any credits. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/667660](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/667660) + +--- + +## **4\. Winning Patterns & Insights from Discussions** + +### **Focus on Demonstration, Not Production** + +* The organizers repeatedly emphasize this is about **demonstration applications** with impact potential, not production-ready systems. Keep the writeup high-level; use the video to convey concepts. +* *"Less is more\! You should take advantage of the video to convey most of the concepts and keep the write-up as high level as possible."* +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Submission Instructions) + +### **Storytelling is Explicitly Scored** + +* Problem Domain criterion explicitly mentions **"storytelling"** alongside clarity of problem definition. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Evaluation Criteria) + +### **Use HAI-DEF Models "to Their Fullest Potential"** + +* The criterion asks whether your application uses HAI-DEF models *"to their fullest potential, where other solutions would likely be less effective"*. +* Clarke's multi-model approach (MedASR \+ MedGemma 4B \+ MedGemma 27B) is well-aligned with this. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Evaluation Criteria) + +### **Agentic Orchestration is Officially Suggested** + +* Google's own MedGemma documentation explicitly suggests agentic orchestration: using MedGemma as a tool within an agentic system, coupled with FHIR generators/interpreters, Gemini Live for bidirectional audio, or Gemini 2.5 Pro for function calling. +* MedGemma can **"parse private health data locally before sending anonymized requests to centralized models"** — directly supports Clarke's privacy-preserving architecture. +* **Source:** [https://developers.google.com/health-ai-developer-foundations/medgemma](https://developers.google.com/health-ai-developer-foundations/medgemma) + +### **Competition Scale: Low Submissions So Far** + +* 5,855 entrants but only **129 submissions** (134 participants, 129 teams) as of Feb 12 2026\. +* This suggests many entrants haven't submitted yet — the field may be smaller than expected. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview](https://www.kaggle.com/competitions/med-gemma-impact-challenge/overview) (Participation stats) + +### **MedGemma 1.5 is the Latest Version** + +* MedGemma 1.5 4B (google/medgemma-1.5-4b-it) was released in Jan 2026 with improved capabilities: + * High-dimensional medical imaging (CT, MRI, histopathology) + * Longitudinal medical imaging (chest X-ray time series) + * Medical document understanding (structured extraction from lab reports) + * EHR understanding (interpretation of text-based EHR data) + * Improved medical text reasoning accuracy +* **Source:** [https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/](https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/) + +--- + +## **5\. Technical Resources** + +### **Official Notebooks & Code** + +| Resource | URL | +| ----- | ----- | +| Quick start (Hugging Face) | [https://github.com/google-health/medgemma/blob/main/notebooks/quick\_start\_with\_hugging\_face.ipynb](https://github.com/google-health/medgemma/blob/main/notebooks/quick_start_with_hugging_face.ipynb) | +| Quick start (Model Garden) | [https://github.com/google-health/medgemma/blob/main/notebooks/quick\_start\_with\_model\_garden.ipynb](https://github.com/google-health/medgemma/blob/main/notebooks/quick_start_with_model_garden.ipynb) | +| Fine-tuning with LoRA | [https://github.com/google-health/medgemma/blob/main/notebooks/fine\_tune\_with\_hugging\_face.ipynb](https://github.com/google-health/medgemma/blob/main/notebooks/fine_tune_with_hugging_face.ipynb) | +| Reinforcement Learning | [https://github.com/Google-Health/medgemma/blob/main/notebooks/reinforcement\_learning\_with\_hugging\_face.ipynb](https://github.com/Google-Health/medgemma/blob/main/notebooks/reinforcement_learning_with_hugging_face.ipynb) | +| MedGemma GitHub repo | [https://github.com/google-health/medgemma](https://github.com/google-health/medgemma) | +| HAI-DEF developer forum | [https://discuss.ai.google.dev/c/hai-def/](https://discuss.ai.google.dev/c/hai-def/) | + +### **MedASR Resources** + +| Resource | URL | +| ----- | ----- | +| MedASR model (HuggingFace) | [https://huggingface.co/google/medasr](https://huggingface.co/google/medasr) | +| MedASR developer docs | [https://developers.google.com/health-ai-developer-foundations/medasr/](https://developers.google.com/health-ai-developer-foundations/medasr/) | +| MedASR in-browser (ONNX/WebGPU) | [https://medasr.ainergiz.com/](https://medasr.ainergiz.com/) | +| MedASR in-browser source | [https://github.com/ainergiz/medasr-web](https://github.com/ainergiz/medasr-web) | +| MedASR MLX (Apple Silicon) | Discussion: [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/672879](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/672879) | +| MedASR ONNX export script | In ainergiz/medasr-web repo at /scripts/export\_onnx.py | + +### **MedGemma 27B GGUF Quantizations (Unsloth)** + +* Available at: [https://huggingface.co/unsloth/medgemma-27b-it-GGUF/tree/main](https://huggingface.co/unsloth/medgemma-27b-it-GGUF/tree/main) +* Can run locally via Ollama: ollama run hf.co/unsloth/medgemma-27b-it-GGUF:Q8\_0 (31.8 GB) +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/673091](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/673091) + +### **HuggingFace Collections** + +| Collection | URL | +| ----- | ----- | +| MedGemma release | [https://huggingface.co/collections/google/medgemma-release-680aade845f90bec6a3f60c4](https://huggingface.co/collections/google/medgemma-release-680aade845f90bec6a3f60c4) | +| HAI-DEF collection | [https://huggingface.co/collections/google/health-ai-developer-foundations-hai-def](https://huggingface.co/collections/google/health-ai-developer-foundations-hai-def) | +| Community fine-tunes | [https://huggingface.co/models?other=or:base\_model:finetune:google/medgemma-4b-it,base\_model:finetune:google/medgemma-4b-pt,base\_model:finetune:google/medgemma-27b-it,base\_model:finetune:google/medgemma-27b-text-it](https://huggingface.co/models?other=or:base_model:finetune:google/medgemma-4b-it,base_model:finetune:google/medgemma-4b-pt,base_model:finetune:google/medgemma-27b-it,base_model:finetune:google/medgemma-27b-text-it) | + +### **Key Blog Posts** + +| Title | URL | +| ----- | ----- | +| MedGemma 1.5 \+ MedASR announcement | [https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/](https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/) | +| Original MedGemma blog | [https://research.google/blog/medgemma-our-most-capable-open-models-for-health-ai-development/](https://research.google/blog/medgemma-our-most-capable-open-models-for-health-ai-development/) | +| HAI-DEF launch blog | [https://research.google/blog/helping-everyone-build-ai-for-healthcare-applications-with-open-foundation-models/](https://research.google/blog/helping-everyone-build-ai-for-healthcare-applications-with-open-foundation-models/) | +| AskCPG concept integration | [https://discuss.ai.google.dev/t/sharing-our-product-integration-with-medgemma-askcpg/94556](https://discuss.ai.google.dev/t/sharing-our-product-integration-with-medgemma-askcpg/94556) | + +### **Notable Competition Notebooks (for inspiration)** + +| Notebook | Theme | +| ----- | ----- | +| MedFlow AI (24 upvotes) | Top-voted notebook | +| MedGemma Navigator: DICOMweb ↔ FHIR (16 upvotes) | FHIR/DICOM integration — similar to Clarke's EHR focus | +| MedGemma Medical AI Chatbot \+ 5 Test Scenarios (14 upvotes) | Medical chatbot with test scenarios | +| MedAssist Edge Offline Medical AI (7 upvotes) | Offline/edge deployment | +| Spasht AI — Bridging India's "Last Mile" Health Gap (6 upvotes) | Community health focus | +| RadAssist-MedGemma: AI Radiology Triage Assistant (4 upvotes) | Radiology triage | +| CRSA — Clinical Reasoning Stability Auditor | Reasoning evaluation | + +**Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/code](https://www.kaggle.com/competitions/med-gemma-impact-challenge/code) +--- + +## **6\. Gaps & Risks** + +### **MedGemma 4B Instruction Following Issues** + +* Multiple competitors report MedGemma 4B (medgemma-1.5-4b-it) **leaking system prompts, generating meta-commentary, and outputting chain-of-thought training artifacts** (critique responses, constraint checklists, special tokens). +* One user reports running with Ollama locally works well; the issues may be prompt/framework dependent. +* **Risk for Clarke:** If using MedGemma 4B for EHR extraction, we need thorough prompt engineering and output parsing to handle instruction-following failures. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/673091](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/673091) + +### **MedGemma 27B Deployment is Extremely Challenging** + +* Requires \~54GB VRAM — won't run on Apple M3 Max 64GB (MPS buffer limit), won't fit on 2x L4 GPUs (48GB). +* Vertex AI A100 quota requests being **rejected by Google**. +* Quantized GGUF versions (Unsloth Q8\_0 \= 31.8GB) can run via Ollama on local hardware. +* **Risk for Clarke:** The 24-hour build plan assumes MedGemma 27B for letter generation. If deploying on Kaggle/cloud is blocked by GPU quota, we need a fallback (quantized 27B via Ollama, or enhanced 4B with heavy prompt engineering). +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/673091](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/673091) + +### **MedGemma 1.5 Only Available as 4B** + +* MedGemma 1.5 is only released as 4B multimodal. The 27B model is still MedGemma 1 (text-only and multimodal). +* **Risk for Clarke:** Clarke spec references "MedGemma 27B" — should clarify we're using MedGemma 1 27B, not 1.5. +* **Source:** [https://developers.google.com/health-ai-developer-foundations/medgemma](https://developers.google.com/health-ai-developer-foundations/medgemma) + +### **No Provided Dataset \= You Must Source Your Own** + +* Competition provides **zero data**. All data must be sourced externally. +* For Clarke: synthetic NHS consultation data or publicly available clinical note datasets needed. Non-commercial academic datasets are acceptable per organizer clarification. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules](https://www.kaggle.com/competitions/med-gemma-impact-challenge/rules) (Section 2.4) + +### **Model Weights Release is Bonus, Not Required** + +* Releasing fine-tuned model weights on HuggingFace is listed as a **bonus** submission element, not mandatory. +* However, it could significantly strengthen the "Effective use of HAI-DEF models" score. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/671596](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/671596) (Daniel Golden's response) + +### **EHR/FHIR Understanding is a New MedGemma 1.5 Capability** + +* MedGemma 1.5 4B specifically adds **"EHR understanding for the interpretation of text-based EHR data"** — this directly supports Clarke's EHR navigation component. +* Consider using MedGemma 1.5 4B (instead of 1.0 4B) for the EHR extraction pipeline. +* **Source:** [https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/](https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/) + +### **Official Discord Exists But Not Monitored by Staff** + +* Kaggle Discord at [http://discord.gg/kaggle](http://discord.gg/kaggle) — additional discussion channel, but organizers don't monitor it. +* **Source:** [https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/667660](https://www.kaggle.com/competitions/med-gemma-impact-challenge/discussion/667660) + +--- + +## **Pages That Could Not Be Accessed** + +| URL | Issue | +| ----- | ----- | +| Kaggle discussion threads via web\_fetch | JS-rendered, required browser automation | +| Kaggle Code notebooks (content) | Would require login/browser to read notebook code cells | +| AskCPG concept app details | [https://discuss.ai.google.dev/t/sharing-our-product-integration-with-medgemma-askcpg/94556](https://discuss.ai.google.dev/t/sharing-our-product-integration-with-medgemma-askcpg/94556) — not fetched | +| MedGemma model card | [https://developers.google.com/health-ai-developer-foundations/medgemma/model-card](https://developers.google.com/health-ai-developer-foundations/medgemma/model-card) — not fetched | +| MedASR developer docs | [https://developers.google.com/health-ai-developer-foundations/medasr/](https://developers.google.com/health-ai-developer-foundations/medasr/) — not fetched | +| HAI-DEF Terms of Use (full) | [https://developers.google.com/health-ai-developer-foundations/terms](https://developers.google.com/health-ai-developer-foundations/terms) — truncated at Section 3 | + diff --git a/Clarke_Product_Specification_V2.md b/Clarke_Product_Specification_V2.md new file mode 100644 index 0000000000000000000000000000000000000000..a1eaa95d5df473cde6e18869ad1f559a7afc5095 --- /dev/null +++ b/Clarke_Product_Specification_V2.md @@ -0,0 +1,610 @@ +# Clarke — Product Specification Document + +**Version:** 2.0 +**Date:** 12 February 2026 +**Purpose:** Comprehensive specification for PRD generation and AI-agent execution within 24 working hours +**Competition:** MedGemma Impact Challenge (Kaggle) +**Targets:** Main Track 1st Place ($30,000) + Agentic Workflow Prize ($5,000) + +--- + +## SECTION 1: PRODUCT VISION + +### 1.1 Clarke in One Sentence + +Clarke is an open-source, privacy-preserving AI system that listens to a clinician's patient consultation, automatically retrieves the relevant patient record context, and generates a complete, structured clinical document — ready to review and sign off — using a pipeline of three purpose-built HAI-DEF medical models (MedASR → MedGemma 4B → MedGemma 27B) running entirely within the hospital network. + +### 1.2 The 30-Second Pitch + +You talk to your patient. Clarke listens. In the background, it simultaneously pulls the patient's history, medications, recent bloods, and imaging results from the electronic health record. By the time you say goodbye, a draft clinic letter — structured to NHS standards, populated with the right investigation results, and chronologically ordered — is waiting on your screen. You review it, make any edits, and sign off. No dictaphone. No secretary. No 15-minute write-up from memory. No logging into five separate systems. Your letter is done before your next patient walks in. And no patient data ever leaves the building. + +### 1.3 The Core Synergy: Why Combining Ambient Documentation with EHR Navigation Creates a Product Greater Than the Sum of Its Parts + +The two capabilities are not merely additive — they solve each other's critical weakness. + +**Ambient documentation alone** (CliniScribe) captures what was *said* in the consultation but is blind to what already *exists* in the patient record. A clinician discusses a rising HbA1c, but the scribe has no access to the actual lab values, the trend over the past 6 months, or the current medication list. The clinician must still manually look up and insert this information, or the generated letter is incomplete. This is exactly why commercial ambient scribes like Heidi Health and DAX Copilot still require significant post-generation editing — they produce notes from conversation alone, without record context. + +**EHR navigation alone** (WardBrief) retrieves and summarises existing patient data but cannot capture what happens *during* the consultation — the new symptoms reported, the examination findings, the shared decision-making, the agreed plan. It produces a pre-consultation briefing, not a post-consultation document. + +**Clarke unifies both pipelines through a single integration point:** the conversation transcript (produced by MedASR) is passed to MedGemma 27B *alongside* the structured patient context (retrieved by MedGemma 4B acting as a FHIR agent). This means the document-generation model has access to both what the clinician discussed *and* what the record contains. The result is a clinical letter that: + +- References actual lab values discussed ("Your HbA1c has risen from 48 to 55 mmol/mol since June 2025") rather than vague mentions ("blood sugar levels were discussed") +- Includes the current medication list without the clinician having to dictate it +- Automatically attaches relevant investigation results referenced during the conversation +- Cross-checks for consistency — if the clinician mentions "no allergies" but the record shows a penicillin allergy, Clarke flags the discrepancy + +This integration transforms Clarke from a transcription tool into a **clinical reasoning assistant** that produces documents no standalone ambient scribe or EHR navigator could match. + +**For the Agentic Workflow Prize specifically:** this pipeline — audio capture → medical speech recognition → agentic EHR data retrieval → context-enriched document generation → clinician review — constitutes a five-stage agentic workflow where three HAI-DEF models operate as intelligent agents, each making autonomous decisions about what to process and retrieve. This is precisely the "significant overhaul of a challenging process" the prize description calls for. + +--- + +## SECTION 2: THE PROBLEM + +### 2.1 Problem Definition + +NHS doctors spend four hours on administrative tasks for every one hour with patients, with clinical documentation — writing letters, discharge summaries, referral notes, and ward round entries — consuming the largest share of that administrative time. This documentation requires clinicians to assimilate information scattered across multiple disconnected IT systems, compose structured clinical narratives, and ensure accuracy, all under severe time pressure. The result is a workforce crisis: doctors burning out, leaving the profession, and — critically — spending less time with the 7.3 million patients currently waiting for NHS treatment. + +### 2.2 Quantified Magnitude + +**(a) Affected clinicians.** The NHS employs 151,980 FTE hospital and community health service doctors and 38,220 FTE GPs in England alone — approximately 190,200 FTE doctors total [NHS Digital Workforce Statistics, August 2025; General Practice Workforce, December 2025]. Adding Scotland, Wales, and Northern Ireland brings the UK total to approximately 210,000 practising doctors. All of them document clinical encounters. + +**(b) Time lost per clinician per day.** The TACT study (Time Allocation in Clinical Training), a national multicentre observational study of 137 NHS resident doctors observed across secondary care centres over 7 months (January–July 2024), found that doctors spent only 17.9% of their time on patient-facing activities while 73.0% was consumed by non-patient-facing tasks [Arab et al., QJM: An International Journal of Medicine, June 2025, doi:10.1093/qjmed/hcaf141]. Our own clinician survey (n=47, January–February 2026) confirmed that documentation specifically accounts for approximately 15 minutes per patient encounter, with clinicians seeing 10–12 patients per half-day clinic — yielding 2.5–3 hours of documentation time per clinic session. + +**(c) National aggregate impact.** + +- **Time:** If 190,200 FTE NHS doctors in England each save 30 minutes per day (the figure demonstrated by Olson et al., JAMA Network Open 2025), that yields **95,100 clinician-hours freed per day** — equivalent to approximately **11,888 additional full-time doctors** (at 8 hours/day). The NHS currently has 7,248 medical vacancies in secondary care alone [NHS Digital, September 2025]. Clarke's time savings could effectively fill more vacancies than currently exist. +- **Money:** The mean annual basic pay per FTE doctor is £90,290 [NHS Digital, August 2025]. The 30-minute daily saving per doctor equates to £5,642 per doctor per year in reclaimed clinical time, or **£1.07 billion annually** across 190,200 NHS doctors in England. +- **Career:** The GMC's 2025 National Training Survey found 61% of trainees at moderate or high risk of burnout [GMC NTS 2025; NHS Employers]. The 2024 NHS Staff Survey reported 42.19% of medical and dental staff experience work-related stress and 30.24% feel burnt out [BMA, Medical Staffing Data Analysis]. The JAMA Network Open study demonstrated that ambient AI scribes reduced burnout from 51.9% to 38.8% (OR 0.26, 95% CI 0.13–0.54, p<0.001) after just 30 days [Olson et al., JAMA Netw Open 2025;8(10):e2534976]. +- **Waiting list:** 7.31 million cases on the NHS waiting list as of November 2025, with only 62% of patients treated within 18 weeks against a 92% constitutional standard [BMA Backlog Data Analysis; King's Fund]. Every hour freed from documentation is an hour available for patient care. + +**(d) Patient safety consequences.** The TACT study found that junior trainees (FY1–ST5) spent only 17.8% of time on patient-facing tasks versus 38.4% for senior trainees (ST6–8) — meaning the least experienced doctors have the least patient contact and the most administrative burden [Arab et al., 2025]. The GMC 2025 NTS found 21% of trainees hesitated to escalate patient care concerns [GMC NTS 2025]. Fragmented records directly contribute to safety incidents: our survey respondents described emergency situations where patients were "unconscious, confused, or unable to speak" and "missing one piece of information like an allergy or heart condition could cause serious harm." + +### 2.3 Unmet Need — Why Existing Solutions Fall Short + +| Competitor | What It Does | Why It Falls Short for NHS Clinicians | +|---|---|---| +| **Microsoft DAX Copilot (Nuance)** | Cloud-based ambient scribe integrated with Epic/Oracle | Sends patient audio to US-hosted cloud servers — violates NHS data sovereignty requirements. Requires enterprise EHR integration (Epic). Costs >$200/clinician/month at scale. Generates American-style documentation, not NHS clinical letters. | +| **Heidi Health** | Cloud-based ambient scribe with NHS GP traction (claims 60% of NHS GPs) | Closed-source, proprietary — NHS trusts cannot audit the model. Cloud-dependent ($99/month per clinician). No EHR record integration — generates notes from conversation only, without access to patient history, lab results, or imaging. Produces documentation that still requires manual enrichment with record data. | +| **Abridge** | Ambient AI scribe deployed at Yale, UCSF, and other US health systems | US-focused, no NHS deployment. Cloud-only architecture. No FHIR-based record navigation. | +| **Nabla** | European ambient scribe | Cloud-dependent. Limited NHS integration. No record context retrieval. | +| **Tortus AI / Accurx Scribe** | UK-based ambient scribes with NHS deployments | Accurx claims 97% clinical accuracy but is a closed proprietary solution with no EHR data retrieval. Tortus operates across 3,500+ GP practices but is cloud-dependent and subscription-based. Neither provides intelligent record navigation. | +| **Existing EHR systems (Cerner, EMIS, SystmOne)** | Store and display patient records | Present data in silos across separate modules. No synthesis, no summarisation, no document generation from conversation. Clinicians must manually navigate and compile information. | + +**The specific unmet need Clarke addresses:** An open-source, fully local, NHS-tailored AI system that combines ambient clinical documentation with intelligent EHR record retrieval — producing context-enriched clinical documents from conversation, without patient data leaving the hospital, at zero per-clinician licensing cost. + +No existing product does both. Every commercial ambient scribe generates documents from conversation alone, without EHR context. Every EHR system presents records without document generation. Clarke is the first system to close this loop using purpose-built medical AI models that can be audited, customised, and deployed entirely on-premise. + +--- + +## SECTION 3: HOW CLARKE WORKS — END-TO-END + +### 3.1 Complete User Journey + +**Pre-consultation (30 seconds):** + +1. The clinician opens Clarke in their web browser (accessible on any device connected to the hospital network). They see a clean dashboard showing their clinic list for the day — patient names, appointment times, and brief one-line summaries. +2. They click on the next patient's name. Clarke's EHR Agent (MedGemma 4B) begins retrieving patient context in the background via FHIR API calls: demographics, problem list, current medications, recent blood results, recent imaging reports, and the last clinic letter. +3. A "Patient Context" panel populates on the left side of the screen, showing a structured summary: key diagnoses, current medications, recent investigations with trends, and any flags (e.g., allergies, pending results). This takes 5–10 seconds. + +**During consultation (10–30 minutes):** + +4. The clinician clicks "Start Consultation." Clarke activates the microphone. A small recording indicator appears at the top of the screen. +5. The clinician has their normal conversation with the patient. They can glance at the Patient Context panel at any time for reference. +6. MedASR processes the audio stream in real-time, producing a running transcript visible in a "Live Transcript" tab (minimised by default, expandable if the clinician wants to check). +7. If the clinician mentions specific results ("Your kidney function has gotten a bit worse"), Clarke's EHR Agent can dynamically fetch the relevant lab values and queue them for inclusion in the document. + +**Post-consultation (15–60 seconds):** + +8. The clinician clicks "End Consultation." The recording stops. +9. Clarke sends the complete transcript (from MedASR) and the patient context (from the EHR Agent) to MedGemma 27B, which generates a structured clinical document. +10. Within 10–30 seconds, a draft document appears in the main panel. It is structured as an NHS clinic letter with: date, patient demographics, addressee (GP), reason for consultation, history of presenting complaint, relevant past medical history, examination findings, investigation results (with actual values from the EHR), assessment, and plan. +11. The clinician reviews the document. They can: + - Edit any text directly (inline editing) + - Click on any cited investigation result to see the source record + - Accept or reject individual sections + - Use a "Regenerate" button on any section to get an alternative phrasing +12. Once satisfied, they click "Sign Off." The document is marked as approved and ready for export. +13. The document can be exported as: a PDF, a FHIR DocumentReference resource for EHR integration, or copied to clipboard for pasting into the existing EHR system. +14. Clarke resets. The clinician clicks the next patient. The cycle begins again. + +**Ward Round Mode (alternative flow):** + +For inpatient settings, Clarke offers a "Ward Round" mode. Instead of recording a single extended consultation, it records the ward round conversation for each patient sequentially. The clinician taps "Next Patient" as they move between beds. For each patient, Clarke generates a ward round entry (not a letter) containing: overnight events, current status, examination findings, investigation results, and today's plan. This mode produces a daily progress note rather than a clinic letter, but uses the same underlying pipeline. + +### 3.2 System Architecture — Data Flow + +``` +┌─────────────────────────────────────────────────────────────────┐ +│ CLARKE SYSTEM │ +│ │ +│ ┌──────────┐ ┌───────────┐ ┌──────────────────────────┐ │ +│ │ Browser │◄──►│ Gradio 5.x│◄──►│ Orchestrator │ │ +│ │ (User) │ │ Frontend │ │ (Python / FastAPI) │ │ +│ └──────────┘ └───────────┘ └────────┬─────────┬────────┘ │ +│ │ │ │ +│ ┌───────────────────┐ │ │ │ +│ │ │ │ │ │ +│ ┌─────▼─────┐ ┌──────▼────▼──┐ │ │ +│ │ MedASR │ │ MedGemma │ │ │ +│ │ (105M) │ │ 1.5 4B │ │ │ +│ │ │ │ EHR Agent │ │ │ +│ │ Audio→Text │ │ FHIR→Context │ │ │ +│ └─────┬──────┘ └──────┬────────┘ │ │ +│ │ │ │ │ +│ │ TRANSCRIPT │ PATIENT │ │ +│ │ │ CONTEXT │ │ +│ │ │ │ │ +│ └────────┬──────────┘ │ │ +│ │ │ │ +│ ┌────────▼────────┐ │ │ +│ │ MedGemma 27B │ │ │ +│ │ (text-only) │ │ │ +│ │ │ │ │ +│ │ Transcript + │ │ │ +│ │ Context → │ │ │ +│ │ Clinical Letter │ │ │ +│ └────────┬────────┘ │ │ +│ │ │ │ +│ ┌────────▼────────┐ │ │ +│ │ Draft Document │ │ │ +│ │ (Structured) │◄──────────────┘ │ +│ └─────────────────┘ │ +│ │ +│ ┌──────────────┐ │ +│ │ FHIR Server │ (Synthea synthetic data for demo; │ +│ │ (HAPI FHIR) │ real hospital FHIR server in production) │ +│ └──────────────┘ │ +│ │ +│ ALL PROCESSING WITHIN HOSPITAL NETWORK │ +└─────────────────────────────────────────────────────────────────┘ +``` + +**Detailed Data Flow:** + +**Stage 1 — Audio Capture → Medical Transcript** +- **Model:** MedASR (`google/medasr` on Hugging Face). 105M parameters. Conformer-based ASR. +- **Input:** Mono-channel audio stream, 16kHz, int16 waveform. Captured via browser MediaRecorder API, chunked and sent to backend via WebSocket. +- **Processing:** Audio chunks processed using `transformers` pipeline with `chunk_length_s=20` and `stride_length_s=2` for streaming transcription. +- **Output:** Full-text transcript of the clinician-patient conversation. + +**Stage 2 — Agentic EHR Context Retrieval** +- **Model:** MedGemma 1.5 4B multimodal, instruction-tuned (`google/medgemma-1.5-4b-it` on Hugging Face). 4B parameters. +- **Architecture:** Operates as a LangGraph-based agent following Google's EHR Navigator pattern. The agent receives a clinical query (e.g., "Retrieve patient context for consultation"), discovers available FHIR resources, plans which to retrieve, fetches them via FHIR REST API calls, extracts relevant facts, and synthesises a structured context summary. +- **Input:** Patient identifier + clinical query (initially "Prepare pre-consultation summary"; updated dynamically during consultation if specific results are mentioned in the transcript). +- **FHIR Resources Queried:** Patient, Condition, MedicationRequest, Observation (labs), DiagnosticReport, AllergyIntolerance, Encounter (recent), DocumentReference (last clinic letter). +- **Output:** Structured JSON containing: demographics, problem list, current medications, allergies, recent lab results (with values, units, reference ranges, and dates), recent imaging summaries, and key excerpts from the most recent clinic letter. + +**Stage 3 — Context-Enriched Document Generation** +- **Model:** MedGemma 27B text-only, instruction-tuned (`google/medgemma-27b-text-it` on Hugging Face). 27B parameters. +- **Input:** A structured prompt containing: + 1. The full conversation transcript (from Stage 1) + 2. The structured patient context JSON (from Stage 2) + 3. A document template specifying the target format (NHS clinic letter, discharge summary, ward round note, or referral letter — selected by the clinician) + 4. Instructions for clinical document conventions (chronological ordering, inclusion of positive and negative findings, reference to specific investigation values) +- **Output:** A structured clinical document in the specified NHS format, with inline references to the source data (e.g., lab values traced to specific FHIR Observation resources). + +**Integration Point:** The orchestrator (Python/FastAPI) coordinates all three stages. The transcript and patient context are combined into a single prompt for MedGemma 27B. This is the critical fusion that no existing product achieves — the document generator sees both the conversation and the record simultaneously. + +### 3.3 HAI-DEF Model Justification + +**MedASR (105M, `google/medasr`):** + +(a) *Why not a general-purpose ASR like Whisper?* MedASR achieves 5.2% WER on chest X-ray dictation compared to 12.5% for Whisper large-v3 — 58% fewer transcription errors. On broad medical dictation, MedASR reaches 5.2% WER versus 28.2% for Whisper — 82% fewer errors [Google Research Blog, January 2026]. Medical terminology errors in transcription directly corrupt downstream document generation. + +(b) *Exploited capability:* MedASR was specifically trained on ~5,000 hours of de-identified physician dictations across radiology, internal medicine, and family medicine [Google/MedASR Hugging Face Model Card]. It has a strong vocabulary for drug names, anatomical terms, and clinical phrases that general ASR models consistently misrecognise. + +(c) *Beyond default use case:* MedASR was designed for single-speaker medical dictation. Clarke uses it for two-party ambient conversation (clinician + patient), which is significantly harder due to speaker overlap, non-medical language, and background noise. We fine-tune MedASR with LoRA on synthetic multi-speaker clinical conversations to improve ambient performance. [**Assumption:** ambient performance will degrade relative to single-speaker dictation; fine-tuning mitigates but may not fully close the gap.] + +**MedGemma 1.5 4B Multimodal (`google/medgemma-1.5-4b-it`):** + +(a) *Why not a general-purpose LLM for EHR navigation?* MedGemma 1.5 4B was specifically trained on FHIR-based EHR data and medical documents. Google's own EHR Navigator Agent notebook demonstrates this capability. A general-purpose model would need extensive prompting to understand FHIR resource structures; MedGemma 4B understands them natively. Furthermore, its 4B parameter count enables it to run on modest GPU hardware, making the agentic loop fast enough for real-time context retrieval (critical for the pre-consultation loading step). + +(b) *Exploited capability:* FHIR-native EHR understanding, medical document comprehension, and structured data extraction from lab reports — all capabilities added in the 1.5 release [Google Research Blog, January 2026]. + +(c) *Beyond default use case:* Google's EHR Navigator demonstrates single-query Q&A over FHIR records. Clarke extends this to multi-step agentic retrieval with dynamic re-querying based on the live conversation transcript — if a clinician mentions a result that wasn't in the initial context fetch, the agent retrieves it on-the-fly. + +**MedGemma 27B Text-Only (`google/medgemma-27b-text-it`):** + +(a) *Why not a general-purpose LLM for document generation?* MedGemma 27B was trained on medical text, medical Q&A pairs, and EHR data. It is optimised for inference-time computation on medical reasoning tasks [MedGemma Technical Report, arXiv:2507.05201]. A general-purpose model of equivalent size would produce plausible-sounding but medically imprecise documents. MedGemma 27B's medical training means it understands which findings are clinically significant, how to order information in a clinical narrative, and when to include negative findings — all essential for a high-quality clinical letter. + +(b) *Exploited capability:* Medical text generation with clinical reasoning. The model can infer that if a patient is on metformin and their HbA1c has risen, this is clinically significant and should be prominently documented. + +(c) *Beyond default use case:* MedGemma 27B is designed for medical question-answering and reasoning. Clarke uses it for structured document generation to NHS clinical letter standards, which requires not just medical knowledge but understanding of UK healthcare documentation conventions. We fine-tune it on exemplar NHS clinical letters using LoRA to instil these conventions. + +--- + +## SECTION 4: WHAT MAKES CLARKE SUPERIOR + +### 4.1 Why HAI-DEF Models Are Superior to General-Purpose Alternatives + +**(a) Versus GPT-4 / Gemini:** Three concrete advantages: + +1. **Privacy.** GPT-4 and Gemini require cloud API calls, sending patient audio and clinical data to third-party servers. Our clinician survey recorded a respondent stating: "Complete and unbreakable privacy would be non-negotiable. Any data sent to US companies (even if their servers are in the UK) would not be private." HAI-DEF models are open-weight and run locally. Zero patient data leaves the hospital. +2. **Medical accuracy.** MedASR outperforms Whisper (a general-purpose ASR comparable to what GPT-4's speech mode uses) by 58–82% on medical dictation WER [Google Research Blog, January 2026]. MedGemma 4B's FHIR understanding is native, not prompt-engineered. +3. **Cost at scale.** A one-time GPU infrastructure investment versus perpetual per-clinician API fees. At 190,200 NHS doctors, even $0.10 per consultation at 20 consultations/day = $380,400/day in API costs. Local HAI-DEF deployment: $0 marginal cost per consultation. + +**(b) Versus using each HAI-DEF model in isolation:** The pipeline creates emergent value. MedASR alone produces a transcript. MedGemma 4B alone produces a patient summary. MedGemma 27B alone could generate text from a prompt. But without the pipeline, the transcript has no record context, the summary has no consultation content, and the document generator has neither. The pipeline produces a document that is qualitatively different from what any individual model could generate — it is simultaneously grounded in the conversation and in the patient's medical record. + +### 4.2 Why Clarke Could Be Superior to Heidi Health and Other Commercial Ambient Scribes + +Heidi Health is the strongest current competitor in the NHS (claims 60% GP adoption, $65M Series B, 340,000 consultations/week) [TechFundingNews, October 2025]. Clarke's advantages are structural, not merely ideological: + +1. **Record context integration.** Heidi generates notes from conversation only. Clarke generates documents enriched with actual EHR data — lab values, medication lists, allergy checks. This is not a feature Heidi can easily add because their architecture sends audio to their cloud for processing and has no connection to the hospital's FHIR server. Clarke's local deployment enables direct FHIR server access. + +2. **Clinical safety through cross-referencing.** Because Clarke sees both the conversation and the record, it can flag discrepancies (e.g., clinician says "no known allergies" but record shows penicillin allergy). No conversation-only scribe can do this. + +3. **Zero marginal cost.** Heidi charges $99/month per clinician. For 190,200 NHS doctors, that is $226 million/year. Clarke is open-source with zero licensing cost. The only cost is GPU hardware, which NHS trusts already possess or can acquire as a one-time capital expenditure. + +4. **Auditability.** NHS Information Governance requires that AI systems processing patient data be auditable. Heidi is a closed-source black box. Clarke's code and model weights are fully inspectable. + +5. **NHS document format compliance.** Clarke is fine-tuned specifically on NHS clinical letter templates. Heidi generates generic notes that clinicians must reformat. + +### 4.3 Special Technology Prize: Agentic Workflow Prize + +Clarke targets the **Agentic Workflow Prize** ("the project that most effectively reimagines a complex workflow by deploying HAI-DEF models as intelligent agents or callable tools"). + +The combined product gives a stronger case than either idea alone because it demonstrates a **multi-model agentic pipeline** where: + +- MedASR operates as an autonomous audio processing agent +- MedGemma 4B operates as an autonomous EHR navigation agent (planning FHIR queries, deciding which resources to retrieve, extracting relevant facts) +- MedGemma 27B operates as an autonomous document generation agent (deciding structure, selecting relevant information, generating prose) +- The orchestrator coordinates these three agents into a cohesive workflow + +A documentation-only tool (CliniScribe) would demonstrate a two-stage pipeline. A navigation-only tool (WardBrief) would demonstrate a single-agent system. Clarke demonstrates a **three-model, five-stage agentic workflow** that fundamentally reimagines the entire clinical documentation process from audio capture to signed-off letter. + +--- + + +## SECTION 5: IMPACT QUANTIFICATION + +### 5.1 Impact Estimation Table + +| # | Metric | Estimate | Calculation Method | Source | +|---|---|---|---|---| +| 1 | **Documentation time saved per clinician per day** | 30 minutes | Direct measurement: 263 physicians across 6 US health systems, pre-post ambient AI scribe deployment over 90 days. Measured via EHR time-stamp logs. | Olson et al., JAMA Netw Open 2025;8(10):e2534976 | +| 2 | **Documentation time saved per patient encounter** | ~15 minutes | Clinician self-report from 47 NHS clinicians. Direct quote: "save me 15 mins for every patient." Consistent with 30 min/day ÷ 2 encounters/hour. | MedGamma Clinician Survey, Jan–Feb 2026 (n=47) | +| 3 | **After-hours documentation ("pajama time") reduction** | 42% decrease in after-hours EHR work; 66% decline in documentation delays | Retrospective study of 181 primary care physicians and APPs across 14 practices using hybrid ambient AI + virtual scribe. | Moura et al., J Gen Intern Med 2025. DOI:10.1007/s11606-025-09979-5 | +| 4 | **Total EHR time reduction per note** | 15% less total EHR time; >15% less note-composing time specifically | Matched cohort comparison of 704 primary care clinicians (239 ambient AI users vs. 465 controls) at UChicago Medicine over 90 days. | Pearlman et al., JAMA Netw Open 2025;8(10):e2537000 | +| 5 | **NHS doctors who benefit (England)** | 190,200 FTE | 151,980 FTE HCHS doctors + 38,220 FTE GPs. | NHS Digital Workforce Statistics Aug 2025 + GP Workforce Dec 2025 | +| 6 | **Clinician-hours freed daily (England)** | 95,100 hours/day | 190,200 doctors × 0.5 hours saved/day. | Calculated from rows 1 + 5 | +| 7 | **Equivalent full-time doctors freed** | ~11,888 FTE | 95,100 hours ÷ 8 hours/day. For context: NHS had 7,248 medical vacancies in secondary care alone (Sep 2025). | Calculated; vacancy figure from NHS Digital | +| 8 | **Annual financial value of reclaimed time** | £1.07 billion | 190,200 × (30 min/day × 250 working days/year) × (£90,290 mean annual salary ÷ 2,000 working hours/year) = 190,200 × £5,642 = £1.07B. | NHS Digital mean doctor salary Aug 2025 + calculation | +| 9 | **Burnout prevalence reduction (documentation-specific)** | 21.2 percentage-point absolute reduction at 84 days | Pre-post survey of 873 physicians and APPs piloting ambient AI at Mass General Brigham. Survey response rates: 30% at 42 days, 22% at 84 days. | You et al., JAMA Netw Open 2025. DOI:10.1001/jamanetworkopen.2025.28056 | +| 10 | **Overall burnout reduction (comprehensive measure)** | 13.1 percentage points (51.9% → 38.8%; OR 0.26, 95% CI 0.13–0.54, p<0.001) at 30 days | Pre-post measurement across 263 physicians at 6 health systems. | Olson et al., JAMA Netw Open 2025;8(10):e2534976 | +| 11 | **Documentation well-being improvement** | 30.7 percentage-point absolute increase at 60 days | Pre-post survey of 557 clinicians (attending physicians, APPs, residents, fellows) at Emory Healthcare. 11% response rate. | You et al., JAMA Netw Open 2025 (Emory arm) | +| 12 | **Ward round preparation time saved (EHR navigation)** | 25–50 minutes per ward round | Currently 30–60 min to prepare a 10–12 patient ward round (multi-system login, data compilation). Reduced to 5–10 min with automated FHIR context retrieval. | Clinician survey descriptions + clinical workflow estimate | +| 13 | **Patient safety: missing clinical information** | 15% of outpatient consultations have missing key information; of those, 32% experience care delays, 20% have documented risk of harm | Prospective study across 3 UK teaching hospitals. Extrapolation: ~10M outpatients/year seen without key info nationally, ~2M at risk of harm. | Burnett et al., BMC Health Serv Res 2011;11:114 | +| 14 | **Patient safety: clinical negligence cost** | £4.6 billion annual cost of harm (2024/25); £60.3 billion total provision for future liabilities | NHS Resolution annual report. 14,428 new clinical negligence claims received in 2024/25. Documentation failures are a contributory factor in many claims. | NHS Resolution Annual Report 2024/25 | +| 15 | **Commercial licensing cost avoided** | £226 million/year | 190,200 doctors × $99/month (Heidi Health pricing) × 12 months × 0.79 GBP/USD. Clarke's open-source model: £0 licensing. Hardware cost: £5K–£15K per trust (one-time). | Heidi Health pricing + calculation | + +### 5.2 Honest Caveats + +**1. The 30-minute daily saving comes from US ambulatory care, not NHS settings.** The Olson et al. and Pearlman et al. studies measured US clinicians generating SOAP notes in 15–20 minute primary care visits. NHS workflows differ structurally: GP consultations are typically 10 minutes, hospital clinics vary by specialty, and the documentation output is an NHS-format clinical letter (not a SOAP note). The actual NHS saving could be higher (because NHS clinicians still use dictaphones and manual secretary workflows, which are slower than the US EHR-based systems that ambient AI was compared against) or lower (because shorter consultations produce less source material for the AI). **Validation required:** A prospective time-motion study within a UK NHS pilot comparing Clarke to current documentation methods. + +**2. MedASR has not been validated on NHS-accented English at scale.** The NHS workforce includes doctors from over 100 countries. MedASR was trained on ~5,000 hours of US-accented medical dictation. While its Conformer architecture handles accent variation better than RNN-based models, and its fine-tuning notebook enables LoRA adaptation to new accents, we have not empirically tested WER on South Asian, Nigerian, Middle Eastern, or Scottish-accented English — the dominant NHS demographic groups. **Assumption:** LoRA fine-tuning on 100–500 hours of NHS-accented audio will bring WER to within 2 percentage points of the US baseline. This assumption has not been validated. + +**3. FHIR API availability varies across NHS trusts.** NHS England's Interoperability Standards mandate FHIR exposure, but adoption is uneven. Some trusts (especially those on EMIS or SystmOne) have robust FHIR endpoints; others (especially legacy Cerner/Oracle Health sites) have limited FHIR R4 support. Clarke degrades gracefully — it operates in "documentation-only" mode without FHIR — but the full value proposition requires FHIR access. **Validation required:** Survey of FHIR readiness across target pilot trusts before deployment. + +**4. Burnout reduction figures may not transfer to UK clinicians.** The You et al. study (Mass General Brigham/Emory) involved self-selected pilot users with modest response rates (22–30% at MGB; 11% at Emory), likely overrepresenting enthusiastic adopters. The Olson et al. study had stronger methodology but was still US-based. NHS burnout drivers include non-documentation factors (understaffing, pay disputes, waiting list pressure) that ambient AI cannot address. **Assumption:** Clarke will reduce documentation-related burnout but will not solve systemic NHS workforce issues. + +**5. AI-generated clinical documents will contain errors.** MedGemma 27B may hallucinate clinical findings, misattribute lab values, or generate imprecise medical terminology. The FHIR agent may fail to retrieve relevant records or retrieve irrelevant ones. MedASR will produce transcription errors, especially in noisy clinical environments. Clinician review and sign-off is mandatory for every document — Clarke is an authoring aid, not an autonomous documentation system. Google explicitly states HAI-DEF model outputs require independent professional verification. + +**6. The financial impact estimate (£1.07B) assumes the reclaimed time is used productively.** In reality, some freed time will be absorbed by other administrative tasks, meetings, or systemic inefficiencies. The per-doctor financial value is calculated at the average salary rate; the true value depends on whether freed time translates to additional patient encounters or clinical activity. + +--- + +## SECTION 6: TECHNICAL FEASIBILITY & 3-DAY BUILD PLAN + +### 6.1 Hour-by-Hour Build Plan (24 Working Hours) + +**DAY 1 — FRIDAY 13 FEBRUARY (Hours 1–8): Foundation + Core Model Pipelines** + +| Hour | Task | Tools / Libraries | Deliverable | "Done" Criterion | +|---|---|---|---|---| +| 1 | **Environment setup.** Provision Hugging Face Space with A100 40GB GPU. Install Python 3.11, PyTorch 2.4.x, transformers, FastAPI, Gradio. Clone starter repo. | HF Spaces (Docker `nvidia/cuda:12.4.1-runtime-ubuntu22.04`), `pip`, `git` | Running HF Space with GPU confirmed via `torch.cuda.is_available()` | Space boots, GPU confirmed, all core packages import without error | +| 2 | **Synthetic FHIR data generation.** Generate 50 UK-style synthetic patients using Synthea. Load into HAPI FHIR server (Docker container within Space). Configure patient names, NHS numbers, UK drug formulary, mmol/L units. | Synthea v3.3.0 (Java CLI), HAPI FHIR v7.4 (Docker), `requests` for REST verification | 50 patient records accessible via `GET /fhir/Patient` | `curl http://localhost:8080/fhir/Patient?_count=50` returns 50 patients with UK-formatted data | +| 3 | **MedASR integration (Part 1).** Load `google/medasr` via `transformers` AutoModelForSpeechSeq2Seq pipeline. Build audio ingestion: browser MediaRecorder API → WebSocket → server-side WAV conversion (16kHz, mono, int16). | `transformers` 4.47.x, `librosa` 0.10.x, `pydub` 0.25.x, `ffmpeg` 7.x, `websockets` 12.x | Audio capture → WAV file on server | Record 30-second audio clip in browser → receive valid 16kHz WAV on server | +| 4 | **MedASR integration (Part 2).** Implement chunked transcription: `chunk_length_s=20`, `stride_length_s=2`, `return_timestamps=True`. Build real-time transcript WebSocket return to frontend. Test with sample medical dictation audio. | `transformers` pipeline, `torch`, custom WebSocket handler | Working audio → text pipeline with streaming output | Transcribe 5-minute medical dictation WAV with visible real-time text in browser console; visual inspection confirms <10% WER | +| 5 | **MedGemma 4B EHR Agent (Part 1).** Load `google/medgemma-1.5-4b-it` in 4-bit quantised mode. Implement LangGraph ReAct agent following Google's EHR Navigator pattern. Define FHIR tools: `search_patients`, `get_conditions`, `get_medications`, `get_observations`, `get_allergies`, `get_diagnostic_reports`. | `transformers`, `bitsandbytes` 0.44.x, `langgraph` 0.2.x, `httpx` for FHIR REST calls | Agent loads, tools callable, returns raw FHIR resources | Agent called with patient ID → returns raw Condition, MedicationRequest, Observation resources as JSON | +| 6 | **MedGemma 4B EHR Agent (Part 2).** Add context synthesis: agent extracts and structures facts from raw FHIR resources into a standardised JSON schema (demographics, problem_list, medications, allergies, recent_labs, recent_imaging, last_letter_excerpt). Add flags (rising trends, critical values, allergy alerts). | Custom JSON schema, `langgraph` state management | Structured patient context JSON for any synthetic patient | Agent returns well-formed JSON for 5 test patients; manual inspection confirms accuracy against FHIR data | +| 7 | **Orchestrator: connect MedASR + EHR Agent.** Build FastAPI orchestrator with endpoints: `POST /start-consultation` (activates audio capture + triggers EHR agent), `POST /end-consultation` (stops audio, sends transcript + context to document generation placeholder), `GET /patient-context/{id}` (returns pre-fetched context). | `FastAPI` 0.109.x, `uvicorn` 0.27.x, Python `asyncio` | Working orchestrator connecting both pipelines | Call `/start-consultation` with patient ID → EHR context loads while audio captures → call `/end-consultation` → receive combined prompt containing transcript + context | +| 8 | **Integration test + prompt engineering.** Design the document-generation prompt template: system message (NHS letter conventions), user message (transcript + context JSON + document type). Test with a mock transcript and real FHIR context, passing to MedGemma 27B placeholder (print output). Build 3 prompt variants: clinic letter, discharge summary, ward round note. | Custom Jinja2 templates, `jinja2` 3.1.x | 3 tested prompt templates producing correctly formatted combined prompts | Visual inspection of 3 generated prompts confirms correct structure: system instructions → transcript → FHIR context → format specification | + +**DAY 2 — SATURDAY 14 FEBRUARY (Hours 9–16): Document Generation + UI + Fine-tuning** + +| Hour | Task | Tools / Libraries | Deliverable | "Done" Criterion | +|---|---|---|---|---| +| 9 | **MedGemma 27B loading + baseline generation.** Load `google/medgemma-27b-text-it` in 4-bit quantisation via bitsandbytes (NF4, double quantisation, `compute_dtype=bfloat16`). Generate 5 baseline clinic letters from the 3 prompt templates using 5 synthetic patients. | `transformers`, `bitsandbytes` 0.44.x, `accelerate` 1.2.x | MedGemma 27B loaded, generates text | 5 generated letters saved as baseline for comparison. Model generates coherent medical text (even if format is not yet NHS-standard) | +| 10 | **Synthetic training data generation.** Generate 250 training triplets (transcript, FHIR context JSON, reference NHS clinic letter) using Claude API as a data generator. Each triplet based on a unique Synthea patient scenario. Apply NHS letter template conventions. Manually review 20 for quality. | `anthropic` SDK, Synthea data, custom generation scripts | 250 validated training triplets + 50 held-out test triplets in JSONL format | Training file (`train.jsonl`) and test file (`test.jsonl`) pass schema validation; 20 manually reviewed samples are clinically plausible and correctly formatted | +| 11 | **LoRA fine-tuning MedGemma 27B.** Fine-tune using QLoRA: base model 4-bit NF4, LoRA adapters on `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj`. Hyperparameters: rank=16, alpha=32, dropout=0.05, learning_rate=2e-4, warmup_ratio=0.03, lr_scheduler=cosine, max_seq_length=4096, per_device_batch_size=2, gradient_accumulation_steps=8, epochs=3, optimizer=paged_adamw_8bit. | `peft` 0.13.x, `trl` 0.12.x (SFTTrainer), `bitsandbytes`, `datasets`, `wandb` for logging | Fine-tuned LoRA adapter saved to disk + training loss curve | Training completes without OOM. Final training loss < initial loss. Adapter file size < 500MB. | +| 12 | **Post-training evaluation.** Generate 50 test letters using fine-tuned model. Compute BLEU and ROUGE-L against held-out reference letters. Compare to 5 baseline letters from hour 9. Manual review of 10 generated letters for: (a) NHS format compliance, (b) clinical accuracy, (c) correct use of FHIR-sourced values, (d) appropriate positive and negative findings. | `evaluate` (HuggingFace), `rouge_score`, `sacrebleu`, manual review | Evaluation report: BLEU, ROUGE-L, qualitative assessment | Fine-tuned BLEU > baseline BLEU. Manual review confirms improved NHS format compliance. Report saved as `evaluation_report.md` | +| 13 | **Gradio UI (Part 1): core layout.** Build main interface: left panel (patient context), centre panel (document editor), top bar (recording controls + status). Implement: patient list dropdown, "Start Consultation" / "End Consultation" buttons, recording indicator, live transcript expandable section. | `gradio` 5.x, custom CSS (NHS Design System colour palette: `#003087` primary, `#005EB8` secondary, `#FFFFFF` background), `gradio.themes` | Functional UI layout with all panels and controls | UI renders in browser. All buttons are clickable. Panels are correctly positioned and responsive at 1280×720 and 1920×1080 | +| 14 | **Gradio UI (Part 2): data binding.** Connect UI to backend: clicking a patient triggers EHR agent → context panel populates. "Start Consultation" activates audio capture via JavaScript interop. "End Consultation" triggers document generation → draft letter appears in centre panel with inline editing. "Sign Off" button marks document as final. Export buttons (PDF, clipboard, FHIR DocumentReference). | `gradio` event handlers, `gr.State`, JavaScript interop for MediaRecorder | Fully interactive UI connected to backend | Complete end-to-end demo: select patient → see context → start recording → stop → draft letter appears → edit → sign off. All stages functional | +| 15 | **Integration testing (5 full scenarios).** Test 5 complete consultation scenarios end-to-end. Use pre-recorded synthetic audio clips (generated via TTS or self-recorded). Verify: correct transcription, accurate FHIR context retrieval, clinically appropriate generated letters, working inline editing, successful sign-off and export. | Pre-recorded WAV files, `pytest` for automated checks, manual verification | 5 passing end-to-end demo scenarios | All 5 scenarios complete without crash or error. Generated letters are clinically coherent for each patient | +| 16 | **Bug fixing + error handling.** Address all issues found in hour 15. Add: loading spinners, error messages for failed FHIR queries, timeout handling for model inference, graceful degradation if MedASR produces empty transcript, fallback if MedGemma 27B OOMs (reduce context length, retry). | Standard Python error handling, Gradio UI feedback components | Robust error-handled application | Re-run all 5 scenarios. Intentionally trigger 3 error conditions (empty audio, FHIR timeout, long transcript). All handled gracefully with user-visible feedback | + +**DAY 3 — SUNDAY 15 FEBRUARY (Hours 17–24): Evaluation, Polish, Deployment** + +| Hour | Task | Tools / Libraries | Deliverable | "Done" Criterion | +|---|---|---|---|---| +| 17 | **MedASR evaluation.** Measure WER on: (a) 20 synthetic medical dictation clips using `jiwer`, (b) 10 ambient conversation clips. Compare to Whisper large-v3 on same data. Document results. | `jiwer` 3.0.x, `openai-whisper` (for baseline comparison), custom test harness | WER comparison table: MedASR vs Whisper, dictation vs ambient | WER computed for all 30 clips. Results documented in `evaluation_report.md` | +| 18 | **EHR Agent evaluation.** Test FHIR retrieval accuracy on 20 synthetic patients against manually annotated "gold standard" context summaries. Measure: fact recall (% of relevant facts extracted), precision (% of extracted facts that are correct), hallucination rate (% of fabricated facts). | Custom evaluation script, 20 annotated gold standards | Agent accuracy report | Fact recall >85%, precision >90%, hallucination rate <10%. Results appended to `evaluation_report.md` | +| 19 | **Document generation evaluation + Ward Round mode.** Compute aggregate BLEU/ROUGE-L on full 50-sample test set. Implement Ward Round mode UI (sequential patient recording, progress note template instead of clinic letter). Test with 2 ward round scenarios. | `evaluate`, custom scripts, Gradio tab component | Ward Round mode functional + aggregate evaluation metrics | Ward Round tab generates progress notes. All metrics documented | +| 20 | **UI polish.** Apply NHS Design System aesthetics: colour palette, typography (Frutiger/Arial), spacing, accessibility (ARIA labels, contrast ratios ≥4.5:1). Add Clarke logo/branding. Responsive design check at 3 viewport sizes. Loading state animations. | CSS custom properties, Gradio theming API, SVG logo | Production-quality visual design | UI screenshots pass visual QA at 1280×720, 1920×1080, and 768×1024 (tablet). Lighthouse accessibility score ≥90 | +| 21 | **Pre-recorded demo preparation.** Record 3 polished demo audio clips (Mrs Thompson T2DM, Mr Okafor chest pain, Ms Patel asthma review). Each clip: 2–4 minutes, clear audio, realistic clinical dialogue. Save as 16kHz WAV. Verify MedASR transcribes accurately. | Audio recording (self/TTS), `ffmpeg` for format conversion | 3 demo-ready audio clips with verified transcripts | Each clip transcribes with <8% WER. Saved in `demo_data/` directory | +| 22 | **Hugging Face deployment.** Push application to public HF Space. Upload LoRA adapters to HF Hub as a separate model repository (tracing to `google/medgemma-27b-text-it`). Verify public access: anyone can visit the URL and interact. Test from a different browser/device. | HF Spaces CLI, `huggingface_hub` SDK, `git-lfs` | Live public demo URL + public LoRA adapter repo | External browser (incognito) can access demo, select a patient, play pre-recorded audio, and receive a generated letter | +| 23 | **Repository documentation.** Write comprehensive README.md: project description, architecture diagram, installation instructions, usage guide, model card, evaluation results, licence (Apache 2.0 for code, HAI-DEF terms for models). Annotate all source code files with docstrings and inline comments. | Markdown, standard Python docstrings | Documented public GitHub repository | README contains: architecture diagram, quickstart guide, evaluation table, licence info. All `.py` files have module-level docstrings | +| 24 | **Final verification + submission artefacts.** End-to-end smoke test of live demo. Verify: GitHub repo is public, HF Space is live, HF model repo with LoRA adapter is public. Create `submission_checklist.md` confirming all competition requirements met. | Manual testing, checklist | All 3 submission artefacts publicly accessible | GitHub repo public ✓, HF Space live ✓, HF model repo public ✓. Demo runs without errors from external device | + +### 6.2 Complete Technology Stack + +| Layer | Component | Specific Technology | Version / Detail | +|---|---|---|---| +| **Infrastructure** | GPU compute | Hugging Face Spaces | A100 40GB GPU (ZeroGPU or dedicated; fallback: A10G 24GB) | +| | Container base | Docker | `nvidia/cuda:12.4.1-runtime-ubuntu22.04` | +| | Runtime | Python | 3.11.x | +| **Backend** | Web framework | FastAPI | 0.109.x, served via `uvicorn` 0.27.x | +| | Async | Python asyncio | Built-in, for concurrent MedASR + EHR Agent execution | +| | WebSocket | `websockets` | 12.x, for real-time audio streaming and transcript return | +| **Frontend** | UI framework | Gradio | 5.x (latest), served within HF Space | +| | Audio capture | Browser MediaRecorder API | WebM/Opus codec → server-side conversion to 16kHz WAV | +| | Styling | Custom CSS | NHS Design System colour palette + Gradio theming API | +| **Audio processing** | Format conversion | `ffmpeg` | 7.x, for WebM→WAV transcoding | +| | Audio manipulation | `pydub` | 0.25.x, for resampling and channel conversion | +| | Audio analysis | `librosa` | 0.10.x, for waveform loading and preprocessing | +| **ASR model** | MedASR | `google/medasr` | 105M params, Conformer-based, via `transformers` AutoModelForSpeechSeq2Seq | +| **EHR Agent model** | MedGemma 1.5 4B IT | `google/medgemma-1.5-4b-it` | 4B params, 4-bit quantised via `bitsandbytes`, agent via `langgraph` 0.2.x | +| **Document generation model** | MedGemma 27B Text IT | `google/medgemma-27b-text-it` | 27B params, 4-bit NF4 quantised via `bitsandbytes` 0.44.x, double quantisation, `compute_dtype=bfloat16` | +| **ML framework** | Core | PyTorch | 2.4.x with CUDA 12.4 | +| | Model loading | `transformers` | 4.47.x (HuggingFace) | +| | Quantisation | `bitsandbytes` | 0.44.x (NF4 quantisation) | +| | Acceleration | `accelerate` | 1.2.x (device mapping) | +| **Fine-tuning** | LoRA framework | `peft` | 0.13.x (Parameter-Efficient Fine-Tuning) | +| | Training | `trl` (SFTTrainer) | 0.12.x | +| | Dataset loading | `datasets` | 3.2.x (HuggingFace) | +| | Experiment tracking | `wandb` | 0.18.x (Weights & Biases) | +| **FHIR** | Server | HAPI FHIR | v7.4, Docker container, FHIR R4 | +| | Client | `httpx` | 0.27.x (async HTTP for FHIR REST API calls) | +| | Data generation | Synthea | v3.3.0, configured with UK module (names, NHS numbers, mmol/L units, BNF drugs) | +| **Prompt engineering** | Template engine | `jinja2` | 3.1.x, for structured prompt assembly | +| **Evaluation** | WER | `jiwer` | 3.0.x | +| | Text similarity | `rouge_score`, `sacrebleu` | Latest stable | +| | ASR baseline | `openai-whisper` | large-v3 (for comparison only) | +| **Version control** | Repository | GitHub | Public repository, Apache 2.0 licence | +| **Model hosting** | LoRA adapter | Hugging Face Hub | Public model repo, tracing to `google/medgemma-27b-text-it` | +| **Document export** | PDF generation | `reportlab` | 4.2.x, for clinic letter PDF export | + +### 6.3 Fine-Tuning Strategy + +**Model 1: MedGemma 27B Text-Only — NHS Clinical Letter Generation (Primary fine-tuning target)** + +- **Objective:** Adapt MedGemma 27B from general medical Q&A to structured NHS clinical document generation from (transcript, FHIR context) input pairs. + +- **Data generation:** + 1. Select 50 diverse Synthea patients spanning: diabetes, COPD, heart failure, CKD, hypertension, cancer follow-up, mental health, orthopaedic, paediatric, obstetric scenarios. + 2. For each patient, generate 5 training triplets using Claude 3.5 Sonnet API (total: 250 training + 50 held-out test): + - **Input 1:** Simulated clinician-patient conversation transcript (~500–1,500 words, naturalistic dialogue including interruptions, repetition, non-medical small talk) + - **Input 2:** FHIR context JSON (extracted from Synthea patient data: demographics, conditions, medications, labs, allergies) + - **Output:** Reference NHS-format clinic letter following Royal College of Physicians guidelines: date, addressee (GP), patient demographics, reason for consultation, history of presenting complaint, relevant PMH, examination findings, investigation results (with actual values from FHIR context), assessment, plan, follow-up. + 3. Manually review 40 triplets (20 training, 20 test) for clinical accuracy, correct FHIR value usage, and NHS format compliance. Revise and re-generate any with errors. + +- **Dataset format:** JSONL, one example per line. Each line: `{"messages": [{"role": "system", "content": ""}, {"role": "user", "content": "\n\n"}, {"role": "assistant", "content": ""}]}` + +- **Method:** QLoRA (Quantised Low-Rank Adaptation) + - **Base model:** `google/medgemma-27b-text-it`, loaded in 4-bit NF4 quantisation with double quantisation + - **LoRA targets:** `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj` (all attention + MLP projections) + - **LoRA rank:** 16 + - **LoRA alpha:** 32 (scaling factor = alpha/rank = 2.0) + - **LoRA dropout:** 0.05 + - **Optimizer:** paged_adamw_8bit + - **Learning rate:** 2e-4 + - **LR scheduler:** cosine with warmup + - **Warmup ratio:** 0.03 (≈2 warmup steps for 250 examples × 3 epochs / batch) + - **Per-device batch size:** 2 + - **Gradient accumulation steps:** 8 (effective batch size: 16) + - **Max sequence length:** 4,096 tokens + - **Epochs:** 3 + - **Mixed precision:** bf16 + +- **Hardware:** Single A100 40GB GPU (same as inference; LoRA adapters fit in remaining VRAM after 4-bit base model). + +- **Duration estimate:** ~2.5 hours for 250 examples × 3 epochs at batch size 2 with gradient accumulation of 8, max_seq_length 4096 on A100 40GB. Based on comparable LoRA fine-tuning benchmarks for 27B models. + +- **Output:** LoRA adapter checkpoint (~200–500MB), uploaded to Hugging Face Hub as a public model tracing to `google/medgemma-27b-text-it`. + +**Model 2: MedASR — NHS-Accented Medical Speech (Stretch goal, hours 19–20 if evaluation results indicate need)** + +- **Rationale:** Only pursued if hour-17 evaluation shows MedASR WER on synthetic NHS-accented audio exceeds 10%. If base MedASR WER is acceptable (<10%), document this as a production requirement and proceed with base model. +- **Data:** 100–500 labelled medical utterances with UK/international accents. For the demo, these can be self-recorded or sourced from open medical speech datasets. +- **Method:** LoRA fine-tuning following Google's published MedASR fine-tuning notebook. LoRA rank 8, learning rate 1e-4, 5 epochs. +- **Duration:** ~1 hour on A100. +- **Fallback (if not pursued):** Document base MedASR performance on NHS-accented audio in the evaluation report. Note this as a production fine-tuning requirement. + +### 6.4 Model Performance Evaluation Plan + +| Model | Metric | Test Set | Baseline | Target | Evaluation Method | +|---|---|---|---|---|---| +| **MedASR** | Word Error Rate (WER) | 20 medical dictation clips (synthetic, clear audio, US-accent) + 10 ambient conversation clips (synthetic, multi-speaker, UK-accent) | Whisper large-v3 WER on identical audio | MedASR WER < Whisper WER on dictation (expect ≥58% relative improvement per published benchmarks); MedASR WER < 10% absolute on ambient clips | `jiwer` library; manual ground-truth transcripts for each clip | +| **MedGemma 4B (EHR Agent)** | Fact recall, precision, hallucination rate | 20 synthetic patient records with manually annotated gold-standard context summaries (each containing 15–25 clinically relevant facts) | Naive FHIR dump (return all resources without summarisation or filtering) | Fact recall >85%, precision >90%, hallucination rate <10% | Custom script comparing agent JSON output to gold-standard annotations; 2 reviewers for 10 disagreement cases | +| **MedGemma 27B (Document Gen, base)** | BLEU, ROUGE-L | 50 held-out (transcript, context, letter) triplets | N/A (this is the baseline) | Establish baseline scores | `sacrebleu`, `rouge_score` | +| **MedGemma 27B (Document Gen, fine-tuned)** | BLEU, ROUGE-L, clinical accuracy | Same 50 held-out triplets | Base MedGemma 27B scores (from row above) | BLEU improvement ≥5 points; ROUGE-L improvement ≥3 points; manual review confirms improved NHS format compliance in ≥8/10 sampled letters | Automated metrics + manual clinical review of 10 randomly sampled letters by team clinician | +| **End-to-end pipeline** | Latency (time from "End Consultation" to draft letter display) | 5 full demo scenarios | Manual documentation time (~15 min per clinician survey) | <60 seconds from click to rendered letter | Stopwatch measurement across 5 trials; mean and max recorded | +| **End-to-end pipeline** | Clinical coherence (manual) | 5 generated letters from demo scenarios | N/A (qualitative) | All 5 letters are clinically coherent, factually consistent with FHIR data, and follow NHS letter structure | Manual review by team clinician using a 5-point rubric: format compliance, clinical accuracy, FHIR value correctness, appropriate plan, readability | + +--- + +## SECTION 7: DEPLOYMENT & DEMO SPECIFICATION + +### 7.1 Live Demo Scenario + +The demo shows a complete consultation with a synthetic NHS patient, designed to demonstrate every stage of Clarke's agentic pipeline in under 3 minutes. A judge watching the video will see exactly this: + +**Screen 1 — Dashboard (0:00–0:15)** + +Clarke opens in a web browser showing a mock clinic list for "Dr. Sarah Chen, Diabetes & Endocrinology." Five patients are listed with appointment times and one-line summaries. The first patient is highlighted: + +> **Mrs. Margaret Thompson** | 67F | 14:00 | Follow-up — Type 2 Diabetes, rising HbA1c + +The clinician (or narrator) clicks on Mrs. Thompson's name. + +**Screen 2 — Patient Context Loading (0:15–0:25)** + +A brief loading animation plays (3–5 seconds) as Clarke's EHR Agent (MedGemma 4B) queries the FHIR server. The Patient Context panel on the left populates with structured data: + +- **Diagnoses:** Type 2 Diabetes Mellitus (2019), Hypertension (2017), CKD Stage 3a (2023) +- **Medications:** Metformin 1g BD, Ramipril 5mg OD, Atorvastatin 20mg OD +- **Allergies:** ⚠ Penicillin (anaphylaxis) +- **Recent Labs:** HbA1c **55** mmol/mol ↑ (was 48 in Jun 2025) · eGFR **52** mL/min ↓ (was 58) · Creatinine **98** μmol/L +- **Flag:** "⚠ HbA1c rising trend over 6 months — consider treatment escalation" + +**Screen 3 — Live Consultation (0:25–1:30)** + +The clinician clicks **"Start Consultation."** A red recording indicator appears. A pre-recorded synthetic audio clip plays (~60 seconds, ~250 words): + +> Doctor: "Hello Mrs. Thompson, good to see you again. How have you been since we last met?" +> Patient: "Not too bad doctor, but I've been a bit more tired lately and I'm worried about my sugar levels..." +> [Conversation covers: fatigue symptoms, dietary adherence, discussion of HbA1c rising from 48 to 55, explanation that metformin alone isn't enough, shared decision to start gliclazide, discussion of hypoglycaemia risk, plan for repeat HbA1c in 3 months] + +The Live Transcript panel shows MedASR's real-time text appearing as the audio plays, demonstrating the streaming transcription. + +**Screen 4 — Document Generation (1:30–1:50)** + +The clinician clicks **"End Consultation."** The recording stops. A progress indicator appears: "Generating clinical letter..." (15–20 seconds). During this time, a subtle animation shows the three pipeline stages: "Transcribing... → Retrieving context... → Drafting letter..." + +**Screen 5 — Draft Clinic Letter (1:50–2:30)** + +A structured NHS clinic letter appears in the centre panel: + +> **[NHS Trust Header]** +> **Date:** 13 February 2026 +> **NHS Number:** 943 476 5829 +> +> Dr. R. Patel +> Riverside Medical Centre +> 45 High Street, London SE1 2AB +> +> **Re: Mrs. Margaret Thompson, DOB 14/03/1958** +> +> Dear Dr. Patel, +> +> Thank you for asking me to review Mrs. Thompson in the Diabetes clinic today. +> +> **History of presenting complaint:** Mrs. Thompson reports increasing fatigue over the past 2–3 months. She has been adherent to dietary advice but has found it difficult to reduce her carbohydrate intake further. She denies polyuria, polydipsia, or weight loss. +> +> **Investigation results:** Her HbA1c has risen from **48 mmol/mol** (June 2025) to **55 mmol/mol** (January 2026), indicating worsening glycaemic control despite metformin monotherapy. Her renal function shows eGFR **52 mL/min** (previously 58), consistent with stable CKD Stage 3a. Creatinine is **98 μmol/L**. +> +> **Assessment and plan:** Given the rising HbA1c on maximum-dose metformin, I have discussed treatment escalation with Mrs. Thompson and we have agreed to commence **gliclazide 40mg once daily**. I have counselled her regarding the risk of hypoglycaemia and provided written patient information. Please arrange a repeat HbA1c in **3 months** and review her renal function at that time. +> +> **Current medications:** Metformin 1g BD, Gliclazide 40mg OD (NEW), Ramipril 5mg OD, Atorvastatin 20mg OD. +> +> Yours sincerely, +> Dr. S. Chen, Consultant Diabetologist + +The narrator points out: (a) investigation values are hyperlinked to their FHIR source records, (b) the letter includes both conversation content AND FHIR-sourced data, (c) the allergy is preserved. + +**Screen 6 — Edit and Sign Off (2:30–2:50)** + +The clinician edits one line (e.g., adding "She is tolerating metformin well with no GI side effects" — demonstrating inline editing). Then clicks **"Sign Off."** The document status changes to "✓ Approved." Export buttons appear: PDF, Copy to Clipboard, FHIR DocumentReference. + +**Screen 7 — Closing (2:50–3:00)** + +Brief closing card showing: "Clarke: 3 HAI-DEF models. 1 pipeline. Zero patient data leaves the building." with the project URL. + +**Synthetic data used:** 50 Synthea-generated UK-style patients loaded into HAPI FHIR server. 3 pre-recorded audio clips for demo scenarios (Mrs. Thompson — diabetes; Mr. Okafor — chest pain follow-up; Ms. Patel — asthma review). Audio clips are 60–90 seconds, recorded in clear studio conditions at 16kHz WAV. + +### 7.2 Top 5 Deployment Challenges and Mitigations + +| # | Challenge | Specific Mitigation | Evidence / Precedent | +|---|---|---|---| +| 1 | **GPU hardware cost for NHS trusts** | MedGemma 4B runs on a single consumer GPU (RTX 4060 8GB, ~£300). MedGemma 27B quantised to 4-bit runs on a single A100 40GB or two A10G 24GB GPUs. NHS trusts already procure similar hardware for PACS imaging workstations. Capital cost: £5,000–£15,000 per trust (one-time), versus >£2M/year for Heidi Health licensing across a trust's doctors at $99/clinician/month. | NHS PACS infrastructure includes GPU workstations. NHS Digital recommends GPU-enabled infrastructure for AI workloads. | +| 2 | **NHS accent diversity and MedASR accuracy** | Fine-tune MedASR with LoRA on NHS-accented audio. Google's published fine-tuning notebook provides the methodology. MedASR's Conformer architecture handles accent variation better than RNN-based ASRs. For production: each trust collects 100–500 de-identified audio samples from its own clinicians for local LoRA fine-tuning (~1 hour compute). | MedASR was trained on ~5,000 hours of diverse physician dictations. LoRA fine-tuning is computationally cheap (minutes to hours). | +| 3 | **FHIR API availability across NHS trusts** | Demo uses HAPI FHIR with Synthea data. Production: NHS England's Interoperability Standards mandate FHIR R4 API exposure. EMIS, SystmOne, and Cerner/Oracle Health increasingly offer FHIR endpoints. Clarke degrades gracefully — if no FHIR API is available, it operates in "documentation-only" mode (ambient scribe without EHR context), still valuable. | NHS England's NHS England Digital Interoperability Programme (2024–2025) mandates FHIR for data sharing. The eDischarge Summary Standard (PRSB, updated January 2026) mandates structured discharge data transfer. | +| 4 | **Clinical safety of AI-generated documents** | Clarke is a drafting tool, not an autonomous documentation system. Every document requires mandatory clinician review and sign-off before entering the medical record. FHIR-sourced values are hyperlinked to source records for verification. Discrepancy flags (e.g., allergy mismatch between conversation and record) are prominently displayed in red. | Google's HAI-DEF Terms of Use explicitly state model outputs require independent professional verification. Mass General Brigham's ambient AI programme (3,000+ providers) uses the same review-before-filing workflow. | +| 5 | **Information governance and regulatory status** | All processing is local — no external data transmission. Open-source code is fully auditable by trust IG teams. Clarke is positioned as a clinical decision support tool (not a regulated medical device), consistent with MHRA guidance on software as a medical device. A Data Protection Impact Assessment (DPIA) would be completed per trust. | NHS England published guidance on AI scribes in health settings (April 2025). Open-source audit trail addresses NHS IG requirement for transparency. | + +### 7.3 Production Deployment Path + +**Phase 1 — Single-trust pilot (months 0–6)** + +- **Setup:** Deploy Clarke on a dedicated GPU server (A100 or 2×A10G) within the trust's on-premise data centre or private cloud (e.g., NHS-approved Azure/AWS tenancy). Dockerised deployment using `docker-compose` with three services: Clarke application, HAPI FHIR proxy, GPU model server. +- **Scope:** 10–20 clinicians across 2–3 specialties (e.g., diabetes outpatients, general medicine ward round, GP training practice). Selected for diversity of documentation types. +- **Integration:** Connect FHIR proxy to the trust's EHR (EMIS/SystmOne/Cerner) via existing FHIR R4 endpoints. Read-only access — Clarke does not write to the EHR in Phase 1. +- **Measurement:** Prospective time-motion study comparing documentation time with vs. without Clarke. Pre-post burnout survey using validated instruments (MBI or Mini-Z). Letter quality audit: completeness, accuracy, NHS format compliance. Clinician satisfaction (System Usability Scale). +- **Governance:** DPIA completed. Information governance approval from trust Caldicott Guardian. Clinical safety case per DCB0129 standard. Ethics approval if results are intended for publication. + +**Phase 2 — Trust-wide rollout (months 6–12)** + +- Expand to all clinicians in the pilot trust. Fine-tune MedASR on the trust's collected audio data for accent optimisation. Integrate EHR write-back (with appropriate clinical safety controls) so signed-off letters can be filed directly into the patient record. +- Begin second-trust pilot to demonstrate transferability. + +**Phase 3 — Multi-trust deployment (months 12–24)** + +- Package Clarke as a `docker-compose` deployment kit with comprehensive setup documentation. +- Publish on NHS App Store / Digital Marketplace for trust procurement teams. +- Work with NHS England's AI and Digital Regulation programme for national endorsement. +- Share specialty-specific LoRA adapters (e.g., cardiology, psychiatry, paediatrics) on Hugging Face Hub. + +**Phase 4 — Ongoing open-source development** + +- Community-driven improvement via GitHub contributions. Trust-specific LoRA adapters (accent, specialty, local conventions) shared on Hugging Face Hub. Regular model updates as Google releases new MedGemma and MedASR versions. + +--- + +## SECTION 8: REFERENCES + +1. Arab S, Chhatwal K, Hargreaves T, et al. Time Allocation in Clinical Training (TACT): national study reveals Resident Doctors spend four hours on admin for every hour with patients. *QJM: An International Journal of Medicine*. 2025;118(10):753. doi:10.1093/qjmed/hcaf141. + +2. Olson KD, Meeker D, Troup M, et al. Use of Ambient AI Scribes to Reduce Administrative Burden and Professional Burnout. *JAMA Network Open*. 2025;8(10):e2534976. doi:10.1001/jamanetworkopen.2025.34976. + +3. Pearlman K, Wan W, Shah S, Laiteerapong N. Use of an AI Scribe and Electronic Health Record Efficiency. *JAMA Network Open*. 2025;8(10):e2537000. doi:10.1001/jamanetworkopen.2025.37000. + +4. You JG, Landman A, Ting DY, et al. Ambient Documentation Technology in Clinician Experience of Documentation Burden and Burnout. *JAMA Network Open*. 2025. doi:10.1001/jamanetworkopen.2025.28056. + +5. Moura LMVR, Mishuris R, Metlay JP, et al. Hybrid Ambient Clinical Documentation and Physician Performance: Work Outside of Work, Documentation Delay, and Financial Productivity. *Journal of General Internal Medicine*. 2025. doi:10.1007/s11606-025-09979-5. + +6. NHS Digital. NHS Workforce Statistics — August 2025. Published November 2025. https://digital.nhs.uk/data-and-information/publications/statistical/nhs-workforce-statistics/august-2025. + +7. NHS Digital. General Practice Workforce — 31 December 2025. https://digital.nhs.uk/data-and-information/publications/statistical/general-and-personal-medical-services/31-december-2025. + +8. BMA. NHS Backlog Data Analysis. Accessed February 2026. https://www.bma.org.uk/advice-and-support/nhs-delivery-and-workforce/pressures/nhs-backlog-data-analysis. + +9. BMA. Medical Staffing in the NHS — Data Analysis. Accessed February 2026. https://www.bma.org.uk/advice-and-support/nhs-delivery-and-workforce/workforce/medical-staffing-in-the-nhs. + +10. GMC. National Training Survey 2025. Published July 2025. Referenced via NHS Employers: https://www.nhsemployers.org/news/gmc-national-training-survey-2025. + +11. Google Research. Next generation medical image interpretation with MedGemma 1.5 and medical speech to text with MedASR. Published January 2026. https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/. + +12. Google. MedASR Model Card. Hugging Face. https://huggingface.co/google/medasr. + +13. Google. MedASR Developer Documentation. https://developers.google.com/health-ai-developer-foundations/medasr. + +14. Google. MedGemma Technical Report. arXiv:2507.05201. + +15. Google. Health AI Developer Foundations (HAI-DEF) Technical Report. arXiv:2411.15128. + +16. King's Fund. Waiting Times for Elective (Non-Urgent) Treatment: Referral to Treatment (RTT). Updated December 2025. https://www.kingsfund.org.uk/insight-and-analysis/data-and-charts/waiting-times-non-urgent-treatment. + +17. MedGamma Clinician Survey. 47 responses from NHS and healthcare clinicians. Collected January 16 – February 8, 2026. Internal document. + +18. TechFundingNews. Heidi raises $65M to scale its AI scribe across global health systems. October 2025. https://techfundingnews.com/heidi-ai-care-partner-65m-series-b-global-expansion/. + +19. Mass General Brigham. Ambient Documentation Technologies Reduce Physician Burnout and Restore 'Joy' in Medicine. Press release, August 2025. https://www.massgeneralbrigham.org/en/about/newsroom/press-releases/ambient-documentation-technologies-reduce-physician-burnout. + +20. Medscape UK. Medscape UK Survey: Burnout Hits Doctors Amid NHS Pressures. June 2025. + +21. iatroX. The rise of AI medical scribes in UK primary care. August 2025. https://www.iatrox.com/blog/ai-medical-scribes-uk-gp-guide-tortus-accurx-heidi. + +22. Burnett S, Franklin BD, Moorthy K, et al. Missing Clinical Information in NHS hospital outpatient clinics: prevalence, causes and effects on patient care. *BMC Health Services Research*. 2011;11:114. doi:10.1186/1472-6963-11-114. + +23. NHS Resolution. Annual Report and Accounts 2024 to 2025. Published July 2025. https://www.gov.uk/government/publications/nhs-resolution-annual-report-and-accounts-2024-to-2025. + +24. NHS England. NHS Patient Safety Strategy — Progress Update — April 2025. https://www.england.nhs.uk/patient-safety/the-nhs-patient-safety-strategy/. + +25. PRSB. eDischarge Summary Standard. Updated January 2026. https://theprsb.org/standards/edischargesummary/. + +26. NHS Providers. NHS Digital Workforce Statistics — November 2025. https://nhsproviders.org/resources/nhs-digital-workforce-statistics-november-2025. + +--- + +*Document prepared for Clarke PRD generation — Version 2.0 — February 2026* diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..f010d19a4ac74aacb8eae2ffde2ca087942cd7c1 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,19 @@ +FROM nvidia/cuda:12.4.1-runtime-ubuntu22.04 + +RUN apt-get update && apt-get install -y \ + python3.11 python3.11-venv python3-pip \ + ffmpeg curl wget git && \ + rm -rf /var/lib/apt/lists/* + +RUN ln -s /usr/bin/python3.11 /usr/bin/python + +WORKDIR /app +COPY requirements.txt . +RUN pip install --break-system-packages --no-cache-dir -r requirements.txt + +COPY . . + +# Load FHIR data and start application +RUN chmod +x scripts/start.sh +EXPOSE 7860 +CMD ["scripts/start.sh"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..261eeb9e9f8b2b4b0d119366dda99c6fd7d35c64 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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Many clinical environments can’t rely on large, closed models that require constant internet access or centralized infrastructure. They need adaptable, privacy-focused tools that can run anywhere care is delivered. + +MedGemma and the rest of the HAI-DEF collection gives developers a starting point for building powerful tools while allowing them full control over the models and associated infrastructure. + +The competition requires us to use these models to build full fledged demonstration applications that can enhance healthcare. Examples include apps to streamline workflows, support patient communication, or facilitate diagnostics. + +## Minimum requirements + +To be considered a valid contribution, your submission should include: + +* a high-quality writeup describing use of a specific HAI-DEF model, +* associated reproducible code for your initial results, and +* a video for judging. + +Your complete submission consists of a single package containing your video (3 minutes or less) and write-up (3 pages or less). This single entry can be submitted to the main competition track, and one special technology award, so separate submissions are not required. Read the section *Submission Instructions* for more details. Please follow the provided write-up template and refer to the judging criteria for all content requirements. + +## Judging Criteria + +1. Effective use of HAI-DEF models (weighting \= 20%) + 1. Are HAI-DEF models used appropriately? + 2. Are HAI-DEF models used to their fullest potential? + 3. Why is this solution and its use of HAI-DEF models superior to other ones? + 4. At least one of HAI-DEF models such as MedGemma is mandatory +2. Problem Domain (weighting \= 15%) + 1. How important is this problem to solve? + 2. How plausible is it that AI is the right solution? + 3. Is your storytelling unbeliably captivating and inspiring? + 4. Is your problem definition clear? + 5. Is the unmet need true and clear? + 6. Is the problem of large magnitude in severity and ubiquity? + 7. Who is the target user? + 8. Does the solution genuinely improve the user journey? +3. Impact potential (weighting \= 15%) + 1. If the solution works, what impact would it have? + 2. Have you clearly and honestly articulated the real and/or anticipated impact of the application within the given problem domain? + 3. Have you honestly and accurately calculated your estimates, and what are those estimates? +4. Product feasibility (weighting \= 20%) + 1. Is the technical solution clearly feasible? + 2. Have you accurately and completely detailed model fine-tuning, model’s performance analysis, user-facing application stack, deployment challenges and how you plan on overcoming them? + 3. Have you communicated exactly how a product might be used in practice? +5. Execution and communication (weighting \= 30%) + 1. Is the quality of your project world-class? + 2. Is the communication of your work concise (using as few words as possible to most completely and comprehensibly communicate information)? + 3. Does the submission package follow the provided template, including a video demo and a write-up with links to source material? + 1. Do you have a public interactive live demo app? + 2. Open-weight Hugging Face model tracing to a HAI-DEF model? + 4. Is your communication in the video of maximal clarity? + 5. Is the video polished and stylish? + 6. Does the video effectively communicate and demonstrate your application? + 7. Is your technical write-up easy-to-read? + 8. Is your source code organised, annotated and reusable? + 9. Do you have a cohesive and compelling narrative across all submitted materials that effectivley articulates how you meet the rest of the judging criteria? + +## Dataset Description + +Welcome to the MedGemma Impact Challenge + +This is a Hackathon with no provided dataset. + +Please refer to the following resources, and note that use of HAI-DEF and MedGemma are subject to the [HAI-DEF Terms of Use](https://developers.google.com/health-ai-developer-foundations/terms): + +* Hugging Face model collections: + * [Complete HAI-DEF collection](https://huggingface.co/collections/google/health-ai-developer-foundations-hai-def) + * [MedGemma collection](https://huggingface.co/collections/google/medgemma-release) +* [Developer forum](https://discuss.ai.google.dev/c/hai-def) +* [HAI-DEF concept apps for inspiration](https://huggingface.co/collections/google/hai-def-concept-apps) +* [HAI-DEF main site](https://goo.gle/hai-def) + +# Goal + +1. Win the Main Track 1st place prize ($30,000) + 1. this prizes are awarded to the best overall project that demonstrate exceptional vision, technical execution, and potential for real-world impact. +2. Wins one of the special track prizes ($$5000) + 1. Agentic Workflow Prize \- It is awarded for the project that most effectively reimagines a complex workflow by deploying HAI-DEF models as intelligent agents or callable tools. The winning solution will demonstrate a significant overhaul of a challenging process, showcasing the power of agentic AI to improve efficiency and outcomes. + 2. Novel Task Prize \- Awarded for the most impressive fine-tuned model that successfully adapts a HAI-DEF model to perform a useful task for which it was not originally trained on pre-release. + 3. The Edge AI Prize \- This prize is awarded to the most impressive solution that brings AI out of the cloud and into the field. It will be awarded to the team that best adapts a HAI-DEF model to run effectively on a local device like a mobile phone, portable scanner, lab instrument, or other edge hardware. + +# Constraints + +1. Complete the product in 3 days (using an AI tool like Claude or Codex to do this successfully) + * Assuming I have 8 hours per day to complete the product (24 hours in total) +2. Writeup structure + * \#\#\# Project name + * \[A concise name for your project.\] + * + * \#\#\# Your team + * \[Name your team members, their speciality and the role they played.\] + * + * \#\#\# Problem statement + * \[Your answer to the “Problem domain” & “Impact potential” criteria\] + * + * \#\#\# Overall solution: + * \[Your answer to “Effective use of HAI-DEF models” criterion\] + * + * \#\#\# Technical details + * \[Your answer to “Product feasibility” criterion\] + +# Target Timeline + +**Thursday 12 February** + +1. Conjecture the best possible ideas to maximise chance of winning the competition within the constraints and pick the best one + 1. Use Claude Opus 4.6, ChatGPT 5.2 Thinking, Gemini 3 Pro, and Grok Thinking to conjecture ideas and pick the best one +2. Use OpenClaw to compile all the useful information as context (saved to a Google Docs titled “Additional Competition Context”) to use to create PRDs (Project Requirement Documents) along with “MedGemma High-Level Context.md” +3. Use Claude Opus 4.6 Extended to create first-draft version of the PRDs +4. Review and edit the PRDs as needed +5. Feed preliminary PRDs to Lovable PRD Generator along with “MedGemma High-Level Context.md”, “Additional Competition [Context.md](http://Context.md)”, and “Clarke\_Product\_Specifcation\_V1.md” and any other requests/context +6. Use Lovable PRD Generator to create new and improved PRDs +7. Select, review and edit the final PRDs as needed +8. Complete planning and preparation of guiding Project-Requirements-Documents (PRDs) + 1. clarke\_PRD\_masterplan.md + 1. This file should provide a complete, high-level overview of what we’re building, why we’re building it, the goals, and the constraints + 1. What are we building? + 2. Why are we building it? + 3. Why is it important? + 4. What are the goals? + 5. What are the constraints? + 6. What must be fulfilled to guarantee a successful outcome? + 2. clarke\_PRD\_implementation.md + 1. This file should outline the order in which we should build and integrate components of the product to ensure there is a clean, understandable sequence + 1. What steps must we take to ensure a successful outcome? + 2. What is the optimal order for us to take those steps to guarantee a successful outcome with the constraints? + 3. clarke\_PRD\_design\_guidelines.md + 1. This file should detail the visual aesthetics of the product and how it should make the user feel when using it + 1. What should the product look like? + 2. What should the product feel like? + 3. Give examples using Mobbin or Dribbble or anything else about the aesthetics and vibe I want to cultivate + 4. clarke\_PRD\_userflow.md + 1. This file should detail the intended user experience and journey, optimising for ease of use and navigation + 1. What is the optimal the step-by-step description of the idea user navigation journey from very start to finish? + 5. clarke\_PRD\_technical\_spec.md + 1. **Folder/file structure** — the exact project directory tree Codex should create + 2. **Technology stack** — every framework, library, and version (e.g., Gradio 4.x, transformers 4.45, torch 2.x) + 3. **Data models/schemas** — what objects exist in the system (Patient, Consultation, Transcript, ClinicalDocument), their fields, types, and relationships + 4. **API contracts** — what each backend endpoint accepts and returns + 5. **Model serving specification** — how each HAI-DEF model is loaded, called, and what input/output format it expects + 6. **Synthetic data spec** — exact format of demo data (FHIR resources, sample transcripts, lab reports) so Codex can generate it + 6. clarke\_PRD\_tasks.md + 1. This file should very explicitly detail every single, step-by-step task that the AI tool (e.g. Codex) should execute on to culminate in a product that completely, without fail, achieves the goal within the constraints + 1. What are the specific tasks the AI should execute on to successfully build a world-class product and fulfil our goal? + 2. for each task, specify what "done" looks like. For example, "Task 3 is done when the /transcribe endpoint accepts a .wav file and returns JSON with a transcript field." + 7. clarke\_PRD\_rules.md + 1. This file should convey how the LLM/AI tool should behave, communicate and execute actions and correct errors to ensure maximal speed, accuracy, effectiveness, transparency and efficiency + 1. What information can I communicate to the AI to ensure the best possible comprehension and communication of information and execution of action? + +**Friday 13 February to Sunday 15th February** + +1. Complete building of the product + 1. AI tool should first read and understand all the files. There should be some sort of test to check and ensure the AI has read and understood all the files before starting. + 2. The AI should then execute one task at a time (using tasks.md), making sure to explain everything and every step that it is doing in a way that a layman could understand as well as testing or creating a way to test that the task has indeed been completed successfully + 1. The AI should also correct any errors that arise in the execution + +**Monday 16th February** + +1. Complete the 3-page write up for the competition submission + 1. The writeup should use the “Propose Writeup template” + 2. The writeup should ensure that it completely satisfies and exceeds the judging criteria to maximise chance of achieving the goal + 3. The writeup should be as high-level and easy-to-read as possible + +**Tuesday 17th February to Saturday 21st February** + +1. Complete the 3-minute video + 1. The video will be the main, attention-grabbing medium of communication so should be optimised to exceed every aspect of the judging criteria + +**Sunday 22nd February** + +1. Submit everything + 1. 3-page writeup + 2. Video (3 mins or less) + 3. Public code repository + 4. PUblic interactive live demo app + 5. Open-weight Hugging Face model tracing to a HAI-DEF model \ No newline at end of file diff --git a/README.md b/README.md index 566721f85e13ca9e1a661a2931188b5a5b4cebb1..1de59cc910555acfb614331e870bbace0885352b 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,257 @@ -# clarke -Clarke — AI-powered ambient clinical documentation system for NHS clinicians +--- +title: Clarke +emoji: 🩺 +colorFrom: blue +colorTo: yellow +sdk: docker +app_port: 7860 +--- + +# Clarke + +**AI-powered NHS clinic letter generation: from consultation audio to structured clinical document in under 60 seconds.** + +Clarke is an ambient clinical documentation system that converts doctor-patient audio consultations into structured NHS clinic letters. It coordinates three [HAI-DEF](https://goo.gle/hai-def) models as autonomous agents in a unified agentic pipeline: medical speech recognition, EHR context retrieval via FHIR, and context-enriched document generation. + +Built for the [MedGemma Impact Challenge](https://www.kaggle.com/competitions/medgemma-impact-challenge) on Kaggle, targeting the **Agentic Workflow Prize**. + +| Resource | Link | +|----------|------| +| Live demo | [yashvshetty-clarke.hf.space](https://yashvshetty-clarke.hf.space) | +| Source code | [github.com/yvs-tinker/clarke](https://github.com/yvs-tinker/clarke) | +| Evaluation report | [evaluation/EVALUATION.md](evaluation/EVALUATION.md) | +| LoRA adapter | [yashvshetty/clarke-medgemma-27b-lora](https://huggingface.co/yashvshetty/clarke-medgemma-27b-lora) | +| Demo video | *Coming soon* | + +--- + +## Results + +Clarke was evaluated across five NHS outpatient consultations spanning endocrine, cardiology, respiratory, heart failure, and mental health. Full methodology and per-patient breakdowns are in the [evaluation report](evaluation/EVALUATION.md). + +| Component | Metric | Score | +|-----------|--------|-------| +| MedASR (speech-to-text) | Word Error Rate | 13.28% across 1,438 words | +| EHR Agent (record retrieval) | Fact Recall | 100% (70/70 facts retrieved) | +| EHR Agent | Precision | 98.6% (1 hallucination in 71 facts) | +| Document Generation (base) | BLEU-1 / ROUGE-L | 0.54 / 0.44 | +| Document Generation (after QLoRA) | BLEU-1 / ROUGE-L | **0.71 / 0.47** (+31% BLEU-1) | + +QLoRA fine-tuning on just 5 gold-standard NHS clinic letters improved lexical accuracy by 31%, trained in 15 minutes on a single A100 GPU. The adapter is published at [`yashvshetty/clarke-medgemma-27b-lora`](https://huggingface.co/yashvshetty/clarke-medgemma-27b-lora). + +--- + +## The Problem + +NHS doctors spend 73% of their working time on non-patient-facing tasks, with only 17.9% on direct patient care (Arab et al., QJM 2025; TACT study, 137 doctors, 7 months). Documentation alone consumes approximately 15 minutes per patient encounter. Across a typical 10-12 patient clinic, that is 2.5-3 hours of writing per session (clinician survey, n=47). At the scale of 190,200 FTE doctors in England (NHS Digital, Aug 2025), the impact compounds: 7,248 unfilled medical vacancies, 7.31 million patients on the waiting list (BMA/King's Fund, Nov 2025), and 61% of trainees at moderate-to-high burnout risk (GMC NTS, 2025). + +Ambient AI scribes have shown promise, reducing clinician burnout from 51.9% to 38.8% within 30 days (Olson et al., JAMA Netw Open 2025). But every existing solution (Heidi Health, DAX Copilot, Tortus) generates documents from conversation audio alone. None retrieves EHR context, meaning clinicians must still manually add lab values, medication lists, and allergy checks. All are cloud-dependent, closed-source, and costly: Heidi alone would cost an estimated 226M GBP/year at NHS scale. + +Clarke closes both gaps: ambient documentation fused with intelligent EHR retrieval, fully open-source, designed for local deployment. + +### Clinician Validation + +A 47-respondent clinician survey confirmed the problem. Respondents reported spending substantial time on documentation, identified clinical letter writing as the most time-consuming task, and expressed strong interest in AI-assisted documentation tools with EHR integration. + +--- + +## Architecture + +Clarke orchestrates three HAI-DEF models in a five-stage agentic workflow. Each model operates as an autonomous agent, making its own decisions about what to process, retrieve, or generate: + +``` +┌─────────────────────────────────────────────────────────────────┐ +│ CLARKE PIPELINE │ +│ │ +│ ┌─────────────┐ │ +│ │ Audio Input │ Upload or record consultation audio │ +│ └──────┬──────┘ │ +│ │ │ +│ ▼ │ +│ ┌─────────────────────────────────────────┐ │ +│ │ 1. MedASR (google/medasr) │ │ +│ │ Medical speech recognition agent │ │ +│ │ Audio -> clinical transcript │ │ +│ └──────┬──────────────────────────────────┘ │ +│ │ │ +│ ▼ │ +│ ┌─────────────────────────────────────────┐ ┌────────────┐ │ +│ │ 2. MedGemma 4B IT │<-->│ FHIR Server│ │ +│ │ (google/medgemma-1.5-4b-it) │ │ Patient │ │ +│ │ EHR context retrieval agent │ │ records │ │ +│ │ Patient ID -> structured context │ └────────────┘ │ +│ └──────┬──────────────────────────────────┘ │ +│ │ transcript + patient context │ +│ ▼ │ +│ ┌─────────────────────────────────────────┐ │ +│ │ 3. MedGemma 27B Text-IT │ │ +│ │ (google/medgemma-27b-text-it) │ │ +│ │ Document generation agent │ │ +│ │ Transcript + context -> NHS letter │ │ +│ └──────┬──────────────────────────────────┘ │ +│ │ │ +│ ▼ │ +│ ┌─────────────┐ │ +│ │ Draft Letter│ Clinician review, edit, and sign-off │ +│ └─────────────┘ │ +└─────────────────────────────────────────────────────────────────┘ +``` + +**Why three models, not one?** Each HAI-DEF model contributes a distinct capability that no single model can replicate. MedASR provides medical-domain speech recognition optimised for clinical terminology. MedGemma 4B understands FHIR resources natively, retrieving and synthesising relevant patient history. MedGemma 27B generates clinically accurate prose grounded in both the conversation and the medical record. The pipeline produces documents that reference actual lab values, include current medication lists, and cross-check for consistency. No conversation-only scribe can achieve this. + +--- + +## Features + +- **End-to-end ambient documentation** from patient selection through letter sign-off. +- **Three-model agentic pipeline** with MedASR, MedGemma 4B, and MedGemma 27B operating as coordinated agents. +- **FHIR-backed context enrichment** retrieving demographics, conditions, medications, lab results, allergies, and diagnostic reports. +- **Structured NHS clinic letter output** following standard clinical correspondence format. +- **QLoRA fine-tuning** with a published LoRA adapter achieving 31% BLEU-1 improvement. +- **Privacy-preserving architecture** designed for local deployment; no patient data leaves the hospital network. +- **Deterministic safety architecture** in the EHR agent ensures 100% fact recall by design. +- **Human-in-the-loop review** with mandatory clinician sign-off before any document is exported. +- **Mock-safe local development** enabling the full pipeline to run without GPU or gated model access. + +--- + +## Models + +Clarke uses three models from Google's [Health AI Developer Foundations (HAI-DEF)](https://goo.gle/hai-def) collection: + +| Role | Model | What it does | +|------|-------|-------------| +| Speech recognition | [`google/medasr`](https://huggingface.co/google/medasr) | Converts consultation audio to text with medical vocabulary optimisation | +| EHR retrieval | [`google/medgemma-1.5-4b-it`](https://huggingface.co/google/medgemma-1.5-4b-it) | Queries FHIR records and synthesises structured patient context | +| Document generation | [`google/medgemma-27b-text-it`](https://huggingface.co/google/medgemma-27b-text-it) | Generates NHS clinic letters from transcript + EHR context | + +Additionally, a QLoRA fine-tuned adapter is published at [`yashvshetty/clarke-medgemma-27b-lora`](https://huggingface.co/yashvshetty/clarke-medgemma-27b-lora) (173.4 MB, LoRA rank 16, trained on 5 NHS clinic letter examples). + +--- + +## Evaluation Summary + +Full methodology, per-patient results, error taxonomy, and limitations are documented in the [evaluation report](evaluation/EVALUATION.md). Headline findings: + +**MedASR (Word Error Rate: 13.28%)** Most clinical terms transcribed correctly. Errors concentrated on patient names (resolved from EHR, not transcript) and rare medical terms. Downstream agents correct most transcription errors using authoritative EHR data. + +**EHR Agent (100% recall, 98.6% precision)** Every allergy, medication, lab result, and diagnosis was retrieved across all five patients. One borderline hallucination occurred (a clinically correct trend annotation). The deterministic query architecture guarantees no stored fact is missed. + +**Document Generation (BLEU-1 0.71 after QLoRA)** The base model scored BLEU-1 0.54. After QLoRA fine-tuning on 5 gold-standard NHS letters (15 minutes of training, single A100), BLEU-1 rose to 0.71 (+31%). All generated letters correctly captured diagnoses, medications, lab results, and management plans. + +--- + +## QLoRA Fine-Tuning + +Clarke includes a QLoRA fine-tuning pipeline for adapting MedGemma 27B to NHS letter conventions. + +| Parameter | Value | +|-----------|-------| +| Method | QLoRA (4-bit base + LoRA rank 16, alpha 32) | +| Target modules | q_proj, k_proj, v_proj, o_proj | +| Training data | 5 gold-standard NHS clinic letters | +| Training time | ~15 minutes on A100 40 GB (Google Colab) | +| Framework | Unsloth | +| Adapter size | 173.4 MB | +| Result | BLEU-1 improved from 0.54 to 0.71 (+31%) | + +Training scripts are in [`finetuning/`](finetuning/). The adapter is published at [`yashvshetty/clarke-medgemma-27b-lora`](https://huggingface.co/yashvshetty/clarke-medgemma-27b-lora). + +--- + +## Quick Start + +### Run in mock mode (no GPU required) + +```bash +git clone https://github.com/yvs-tinker/clarke.git +cd clarke +python -m venv .venv +source .venv/bin/activate +pip install -r requirements.txt + +USE_MOCK_FHIR=true MEDASR_MODEL_ID=mock MEDGEMMA_4B_MODEL_ID=mock MEDGEMMA_27B_MODEL_ID=mock python3 app.py +``` + +Open [http://localhost:7860](http://localhost:7860). + +### Run with real models (requires A100 GPU + HuggingFace access) + +Create a `.env` file: + +``` +MEDASR_MODEL_ID=google/medasr +MEDGEMMA_4B_MODEL_ID=google/medgemma-1.5-4b-it +MEDGEMMA_27B_MODEL_ID=google/medgemma-27b-text-it +HF_TOKEN=hf_xxxxxxxxxxxxxxxxxxxx +FHIR_BASE_URL=http://localhost:8080/fhir +APP_HOST=0.0.0.0 +APP_PORT=7860 +``` + +Then launch with `python3 app.py`. Requires NVIDIA A100 80 GB for the full three-model pipeline. + +--- + +## Repository Structure + +``` +clarke/ +├── app.py # Application entry point (FastAPI + Gradio) +├── backend/ +│ ├── api.py # FastAPI REST endpoints +│ ├── orchestrator.py # Pipeline coordinator +│ ├── config.py # Environment and settings +│ ├── schemas.py # Pydantic data models +│ ├── models/ +│ │ ├── medasr.py # MedASR transcription wrapper +│ │ ├── ehr_agent.py # MedGemma 4B EHR retrieval agent +│ │ └── doc_generator.py # MedGemma 27B letter generation agent +│ ├── fhir/ +│ │ ├── client.py # FHIR server client +│ │ ├── queries.py # FHIR resource queries +│ │ ├── tools.py # Agent tool definitions +│ │ └── mock_api.py # Mock FHIR server for development +│ └── prompts/ # Jinja2 prompt templates +├── frontend/ +│ ├── ui.py # Gradio interface builder +│ ├── components.py # UI screen components +│ ├── state.py # Session state management +│ └── assets/ # CSS, logo, static files +├── data/ # Demo audio, transcripts, synthetic FHIR bundles +├── evaluation/ # Evaluation scripts and report +│ ├── EVALUATION.md # Full evaluation report +│ ├── eval_medasr.py # Word Error Rate evaluation +│ ├── eval_ehr_agent.py # EHR fact recall evaluation +│ ├── eval_doc_gen.py # BLEU/ROUGE-L evaluation +│ └── gold_standards/ # Reference letters for scoring +├── finetuning/ # LoRA training scripts and adapter +└── tests/ # Unit, integration, and end-to-end tests +``` + +--- + +## Development + +Clarke was built by a solo 4th-year medical student over the competition period. Development used Claude (Anthropic) for architectural design, evaluation methodology, and technical problem-solving, and Codex (GitHub) for code implementation via pull requests. + +Key technical decisions documented in the [evaluation report](evaluation/EVALUATION.md): +- **Deterministic EHR retrieval over agentic tool-calling** after prototyping showed MedGemma 4B's agentic queries were unreliable. +- **Full bfloat16 precision for inference** after discovering 4-bit quantisation breaks weight tying in MedGemma 27B. +- **Multi-agent error correction** where each pipeline stage compensates for upstream errors. + +--- + +## Licence + +- **Code:** [Apache 2.0](LICENSE) +- **Models:** Subject to [HAI-DEF Terms of Use](https://developers.google.com/health-ai-developer-foundations/terms) and HuggingFace gating requirements. + +--- + +## Acknowledgements + +- [MedGemma Impact Challenge](https://www.kaggle.com/competitions/medgemma-impact-challenge) by Google Health AI +- [HAI-DEF](https://goo.gle/hai-def) model releases +- [Synthea](https://synthetichealth.github.io/synthea/) for synthetic patient data +- [HAPI FHIR](https://hapifhir.io/) server ecosystem diff --git a/app.py b/app.py new file mode 100644 index 0000000000000000000000000000000000000000..ac82bd37567ff6c053f3c4bee3eb08a7d7d28c0f --- /dev/null +++ b/app.py @@ -0,0 +1,33 @@ +"""Application entry point mounting Clarke Gradio UI within FastAPI.""" + +from __future__ import annotations + +import uvicorn +from fastapi import FastAPI +import gradio as gr + +from backend.api import app as fast_api +from backend.config import get_settings +from frontend.ui import build_ui + + +def create_app() -> FastAPI: + """Create the FastAPI application with mounted Gradio interface. + + Args: + None: Uses existing FastAPI API app and Gradio UI builder. + + Returns: + FastAPI: Unified ASGI app serving API and web UI. + """ + + demo = build_ui() + return gr.mount_gradio_app(fast_api, demo, path="/") + + +app = create_app() + + +if __name__ == "__main__": + settings = get_settings() + uvicorn.run(app, host=settings.APP_HOST, port=settings.APP_PORT) diff --git a/backend/.DS_Store b/backend/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..162ddaad35ef96bbc0ca38e57594e36e1797373a Binary files /dev/null and b/backend/.DS_Store differ diff --git a/backend/__init__.py b/backend/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..400f30c70447b4f878a8718a30a60071cb615d5b --- /dev/null +++ b/backend/__init__.py @@ -0,0 +1 @@ +"""Backend package for Clarke services.""" diff --git a/backend/api.py b/backend/api.py new file mode 100644 index 0000000000000000000000000000000000000000..a70258c5e6bb31d1f62d33bfb448dda0fba215d0 --- /dev/null +++ b/backend/api.py @@ -0,0 +1,490 @@ +"""FastAPI API surface for Clarke consultation and health endpoints.""" + +from __future__ import annotations + +import json +from datetime import datetime, timezone +from pathlib import Path +from shutil import copyfileobj +from typing import Any + +from fastapi import BackgroundTasks, Body, FastAPI, File, Form, HTTPException, UploadFile + +from backend.audio import convert_to_wav_16k, validate_audio +from backend.config import get_settings +from backend.errors import AudioError, ModelExecutionError, get_component_logger +from backend.orchestrator import PipelineOrchestrator +from backend.schemas import ConsultationStatus, Patient + +app = FastAPI(title="Clarke API", version="0.1.0") +settings = get_settings() +logger = get_component_logger("api") +orchestrator = PipelineOrchestrator() + + +def _iso_timestamp() -> str: + """Return UTC timestamp in ISO 8601 format with Z suffix. + + Args: + None: No input parameters. + + Returns: + str: UTC timestamp string. + """ + + return datetime.now(tz=timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z") + + +def _load_clinic_list_payload() -> dict[str, Any]: + """Load clinic list fixture JSON from disk. + + Args: + None: Reads static clinic list fixture file. + + Returns: + dict[str, Any]: Parsed clinic list JSON payload. + """ + + clinic_path = Path("data/clinic_list.json") + if not clinic_path.exists(): + raise HTTPException(status_code=500, detail="Clinic list file is missing") + return json.loads(clinic_path.read_text(encoding="utf-8")) + + +def _load_patient_resource(patient_id: str) -> dict[str, Any]: + """Load patient resource for a patient id from local FHIR bundle fixture. + + Args: + patient_id (str): Patient identifier. + + Returns: + dict[str, Any]: FHIR Patient resource from bundle fixture. + """ + + bundle_path = Path("data/fhir_bundles") / f"{patient_id}.json" + if not bundle_path.exists(): + return {} + bundle = json.loads(bundle_path.read_text(encoding="utf-8")) + for entry in bundle.get("entry", []): + resource = entry.get("resource", {}) + if resource.get("resourceType") == "Patient": + return resource + return {} + + +def _patient_from_records(clinic_row: dict[str, Any], patient_resource: dict[str, Any]) -> Patient: + """Build a Patient schema object from clinic list and FHIR records. + + Args: + clinic_row (dict[str, Any]): Patient row from `clinic_list.json`. + patient_resource (dict[str, Any]): FHIR Patient resource dictionary. + + Returns: + Patient: Normalised patient object for API responses. + """ + + nhs_number = "" + for identifier in patient_resource.get("identifier", []): + value = str(identifier.get("value", "")).strip() + if value: + nhs_number = value + break + + date_of_birth = str(patient_resource.get("birthDate", "")) + if date_of_birth and "-" in date_of_birth: + yyyy, mm, dd = date_of_birth.split("-") + date_of_birth = f"{dd}/{mm}/{yyyy}" + + return Patient( + id=str(clinic_row.get("id", "")), + nhs_number=nhs_number, + name=str(clinic_row.get("name", "")), + date_of_birth=date_of_birth, + age=int(clinic_row.get("age", 0)), + sex=str(clinic_row.get("sex", "")), + appointment_time=str(clinic_row.get("time", "")), + summary=str(clinic_row.get("summary", "")), + ) + + +def _get_patient(patient_id: str) -> Patient: + """Resolve a patient from local fixture data. + + Args: + patient_id (str): Patient identifier. + + Returns: + Patient: Patient record for the requested id. + """ + + payload = _load_clinic_list_payload() + for row in payload.get("patients", []): + if str(row.get("id")) == patient_id: + resource = _load_patient_resource(patient_id) + return _patient_from_records(row, resource) + raise HTTPException(status_code=404, detail=f"Patient not found: {patient_id}") + + +def _health_fhir_status() -> dict[str, Any]: + """Compute lightweight FHIR service health metadata for health endpoint. + + Args: + None: Reads settings and local data fixtures. + + Returns: + dict[str, Any]: FHIR connectivity status and available patient count. + """ + + clinic_list_path = Path("data/clinic_list.json") + if settings.USE_MOCK_FHIR and clinic_list_path.exists(): + payload = json.loads(clinic_list_path.read_text(encoding="utf-8")) + patients = payload.get("patients", []) + return {"status": "connected", "patient_count": len(patients)} + + return {"status": "unknown", "patient_count": 0} + + +def _save_upload_temp(upload: UploadFile, destination: Path) -> Path: + """Persist an uploaded file to disk for subsequent conversion/validation. + + Args: + upload (UploadFile): Uploaded file object from multipart payload. + destination (Path): Output path for storing file bytes. + + Returns: + Path: Saved destination path. + """ + + destination.parent.mkdir(parents=True, exist_ok=True) + with destination.open("wb") as output_stream: + copyfileobj(upload.file, output_stream) + return destination + + +@app.get("/api/v1/health") +def get_health() -> dict[str, Any]: + """Return current service, model, and GPU health state. + + Args: + None: Uses process-level singletons for status. + + Returns: + dict[str, Any]: Health response payload. + """ + + gpu_info = orchestrator._medasr_model.model_manager.check_gpu() + models = { + "medasr": { + "loaded": orchestrator._medasr_model.model_manager.get_model("medasr") is not None, + "device": "cuda:0" if gpu_info["vram_total_bytes"] > 0 else "cpu", + }, + "medgemma_4b": {"loaded": False, "device": "n/a", "quantised": "4bit"}, + "medgemma_27b": {"loaded": False, "device": "n/a", "quantised": "4bit"}, + } + + return { + "status": "healthy", + "models": models, + "fhir": _health_fhir_status(), + "gpu": { + "name": gpu_info["gpu_name"], + "vram_used_gb": round(float(gpu_info["vram_used_bytes"]) / 1_000_000_000, 2), + "vram_total_gb": round(float(gpu_info["vram_total_bytes"]) / 1_000_000_000, 2), + }, + "timestamp": _iso_timestamp(), + } + + +@app.get("/api/v1/patients") +def get_patients() -> dict[str, list[dict[str, Any]]]: + """Return clinic patient list with normalised schema fields. + + Args: + None: Reads local clinic list and FHIR bundle fixtures. + + Returns: + dict[str, list[dict[str, Any]]]: Patient list payload. + """ + + payload = _load_clinic_list_payload() + patients: list[dict[str, Any]] = [] + for row in payload.get("patients", []): + patient_id = str(row.get("id", "")) + if not patient_id: + continue + patient_model = _patient_from_records(row, _load_patient_resource(patient_id)) + patients.append(patient_model.model_dump()) + return {"patients": patients} + + +@app.get("/api/v1/patients/{patient_id}") +def get_patient(patient_id: str) -> dict[str, Any]: + """Return a single patient by id. + + Args: + patient_id (str): Patient identifier. + + Returns: + dict[str, Any]: Patient payload. + """ + + patient = _get_patient(patient_id) + return patient.model_dump() + + +@app.post("/api/v1/patients/{patient_id}/context") +def generate_patient_context(patient_id: str) -> dict[str, Any]: + """Generate patient context via EHR agent and return context JSON. + + Args: + patient_id (str): Patient identifier. + + Returns: + dict[str, Any]: Structured patient context payload. + """ + + _get_patient(patient_id) + context = orchestrator._ehr_agent.get_patient_context(patient_id) + return context.model_dump(mode="json") + + +@app.post("/api/v1/consultations/start", status_code=201) +def start_consultation(payload: dict[str, str], background_tasks: BackgroundTasks) -> dict[str, Any]: + """Start a consultation session and trigger context prefetch in background. + + Args: + payload (dict[str, str]): Request body containing patient_id. + background_tasks (BackgroundTasks): FastAPI background task runner. + + Returns: + dict[str, Any]: Consultation identifier and initial state. + """ + + patient_id = payload.get("patient_id", "") + if not patient_id: + raise HTTPException(status_code=400, detail="patient_id is required") + patient = _get_patient(patient_id) + + consultation = orchestrator.start_consultation(patient) + background_tasks.add_task(orchestrator.prefetch_context, consultation.id) + + return { + "consultation_id": consultation.id, + "patient_id": patient_id, + "status": ConsultationStatus.RECORDING.value, + "started_at": consultation.started_at, + } + + +@app.post("/api/v1/consultations/{consultation_id}/audio") +def upload_audio( + consultation_id: str, + audio_file: UploadFile = File(...), + is_final: bool = Form(...), +) -> dict[str, Any]: + """Accept consultation audio, convert to MedASR format, and store metadata. + + Args: + consultation_id (str): Consultation identifier. + audio_file (UploadFile): Uploaded WAV/WebM audio file. + is_final (bool): Whether upload is the final complete recording. + + Returns: + dict[str, Any]: Upload acknowledgement and validated duration seconds. + """ + + try: + consultation = orchestrator.get_consultation(consultation_id) + except KeyError as exc: + raise HTTPException(status_code=404, detail=str(exc)) from exc + + extension = Path(audio_file.filename or "").suffix.lower() + if extension not in {".wav", ".webm"}: + raise HTTPException(status_code=400, detail="Only WAV or WebM audio uploads are supported") + + uploads_root = Path("data/uploads") / consultation_id + raw_path = uploads_root / f"raw{extension}" + original_stem = Path(audio_file.filename or "audio").stem or "audio" + wav_path = uploads_root / f"{original_stem}_16k.wav" + + try: + _save_upload_temp(audio_file, raw_path) + processed_path = raw_path if extension == ".wav" else Path(convert_to_wav_16k(str(raw_path), str(wav_path))) + if extension == ".wav": + processed_path = Path(convert_to_wav_16k(str(raw_path), str(wav_path))) + + audio_metadata = validate_audio(str(processed_path)) + except AudioError as exc: + logger.error("Audio processing failed", consultation_id=consultation_id, error=str(exc)) + raise HTTPException(status_code=400, detail=str(exc)) from exc + + consultation.audio_file_path = str(processed_path) + + logger.info( + "Stored consultation audio", + consultation_id=consultation_id, + duration_s=audio_metadata["duration_s"], + is_final=is_final, + ) + + return { + "consultation_id": consultation_id, + "audio_received": True, + "duration_s": audio_metadata["duration_s"], + } + + +@app.post("/api/v1/consultations/{consultation_id}/end", status_code=202) +def end_consultation(consultation_id: str) -> dict[str, Any]: + """End a consultation and execute full processing pipeline. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + dict[str, Any]: Pipeline kickoff and status metadata. + """ + + try: + consultation = orchestrator.end_consultation(consultation_id) + progress = orchestrator.get_progress(consultation_id) + except KeyError as exc: + raise HTTPException(status_code=404, detail=str(exc)) from exc + except TimeoutError as exc: + raise HTTPException(status_code=504, detail={"error": "timeout", "message": str(exc)}) from exc + except AudioError as exc: + raise HTTPException(status_code=400, detail={"error": "audio_error", "message": str(exc)}) from exc + except ModelExecutionError as exc: + error_type = "audio_error" if "transcribed" in str(exc).lower() else "model_error" + status_code = 400 if error_type == "audio_error" else 500 + raise HTTPException(status_code=status_code, detail={"error": error_type, "message": str(exc)}) from exc + + return { + "consultation_id": consultation.id, + "status": consultation.status.value, + "pipeline_stage": progress.stage.value, + "message": "Pipeline completed. Document is ready for review.", + } + + +@app.get("/api/v1/consultations/{consultation_id}/transcript") +def get_transcript(consultation_id: str) -> dict[str, Any]: + """Return transcript for a consultation when available. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + dict[str, Any]: Transcript payload. + """ + + try: + consultation = orchestrator.get_consultation(consultation_id) + except KeyError as exc: + raise HTTPException(status_code=404, detail=str(exc)) from exc + + if consultation.transcript is None: + raise HTTPException(status_code=404, detail="Transcript not generated yet") + return consultation.transcript.model_dump(mode="json") + + +@app.get("/api/v1/consultations/{consultation_id}/document") +def get_document(consultation_id: str) -> dict[str, Any]: + """Return generated document placeholder for a consultation. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + dict[str, Any]: Consultation document object or null. + """ + + try: + consultation = orchestrator.get_consultation(consultation_id) + except KeyError as exc: + raise HTTPException(status_code=404, detail=str(exc)) from exc + + return { + "consultation_id": consultation_id, + "document": consultation.document.model_dump(mode="json") if consultation.document else None, + } + + +@app.get("/api/v1/consultations/{consultation_id}/progress") +def get_progress(consultation_id: str) -> dict[str, Any]: + """Return latest pipeline progress object for a consultation. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + dict[str, Any]: Pipeline progress payload. + """ + + try: + progress = orchestrator.get_progress(consultation_id) + except KeyError as exc: + raise HTTPException(status_code=404, detail=str(exc)) from exc + return progress.model_dump(mode="json") + + +@app.post("/api/v1/consultations/{consultation_id}/document/sign-off") +def sign_off_document(consultation_id: str, payload: dict[str, Any] | None = Body(default=None)) -> dict[str, Any]: + """Sign off a generated document and set consultation status to signed off. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + dict[str, Any]: Signed-off document payload with updated status. + """ + + sections = (payload or {}).get("sections", []) + + try: + if sections: + orchestrator.update_document_sections(consultation_id, sections) + document = orchestrator.sign_off_document(consultation_id) + except KeyError as exc: + raise HTTPException(status_code=404, detail=str(exc)) from exc + except ModelExecutionError as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc + + return { + "consultation_id": consultation_id, + "status": ConsultationStatus.SIGNED_OFF.value, + "document": document.model_dump(mode="json"), + } + + +@app.post("/api/v1/consultations/{consultation_id}/document/regenerate-section") +def regenerate_document_section( + consultation_id: str, + payload: dict[str, str] = Body(...), +) -> dict[str, Any]: + """Regenerate one document section while keeping other sections unchanged. + + Args: + consultation_id (str): Consultation identifier. + payload (dict[str, str]): Request body containing `section_heading`. + + Returns: + dict[str, Any]: Updated document payload. + """ + + section_heading = payload.get("section_heading", "").strip() + if not section_heading: + raise HTTPException(status_code=400, detail="section_heading is required") + + try: + document = orchestrator.regenerate_document_section(consultation_id, section_heading) + except KeyError as exc: + raise HTTPException(status_code=404, detail=str(exc)) from exc + except ModelExecutionError as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc + + return { + "consultation_id": consultation_id, + "status": ConsultationStatus.REVIEW.value, + "document": document.model_dump(mode="json"), + } diff --git a/backend/audio.py b/backend/audio.py new file mode 100644 index 0000000000000000000000000000000000000000..bf8f83c770fc83b12fb3641c8c7534389b25218e --- /dev/null +++ b/backend/audio.py @@ -0,0 +1,85 @@ +"""Audio conversion and validation utilities for MedASR-ready WAV files.""" + +from __future__ import annotations + +from pathlib import Path + +import librosa +from pydub import AudioSegment + +from backend.errors import AudioError + + +MIN_AUDIO_DURATION_S = 5.0 +MAX_AUDIO_DURATION_S = 1800.0 +EXPECTED_SAMPLE_RATE = 16000 +EXPECTED_CHANNELS = 1 + + +def convert_to_wav_16k(input_path: str, output_path: str) -> str: + """Convert supported audio input to 16kHz mono PCM WAV. + + Args: + input_path (str): Source audio path (e.g. webm, mp3, wav). + output_path (str): Destination WAV path. + + Returns: + str: Output path for converted 16kHz mono WAV file. + """ + source_path = Path(input_path) + destination_path = Path(output_path) + + if not source_path.exists(): + raise AudioError(f"Audio input not found: {source_path}") + + try: + audio = AudioSegment.from_file(source_path) + except Exception as exc: # pragma: no cover - pydub/ffmpeg message is external + raise AudioError(f"Failed to decode audio file {source_path}: {exc}") from exc + + destination_path.parent.mkdir(parents=True, exist_ok=True) + processed = audio.set_frame_rate(EXPECTED_SAMPLE_RATE).set_channels(EXPECTED_CHANNELS).set_sample_width(2) + + try: + processed.export(destination_path, format="wav") + except Exception as exc: # pragma: no cover - pydub/ffmpeg message is external + raise AudioError(f"Failed to export WAV audio {destination_path}: {exc}") from exc + + return str(destination_path) + + +def validate_audio(file_path: str) -> dict[str, float | int]: + """Validate an audio file meets pipeline constraints. + + Args: + file_path (str): Path to WAV file to inspect. + + Returns: + dict[str, float | int]: duration_s, sample_rate, channels values. + """ + path = Path(file_path) + if not path.exists(): + raise AudioError(f"Audio file not found: {path}") + + try: + waveform, sample_rate = librosa.load(path, sr=None, mono=False) + except Exception as exc: + raise AudioError(f"Unable to load audio for validation: {path}: {exc}") from exc + + channels = int(waveform.shape[0]) if getattr(waveform, "ndim", 1) > 1 else 1 + duration_s = float(librosa.get_duration(y=waveform, sr=sample_rate)) + + if sample_rate != EXPECTED_SAMPLE_RATE: + raise AudioError(f"Invalid sample rate {sample_rate}; expected {EXPECTED_SAMPLE_RATE}") + if channels != EXPECTED_CHANNELS: + raise AudioError(f"Invalid channel count {channels}; expected {EXPECTED_CHANNELS}") + if duration_s <= MIN_AUDIO_DURATION_S: + raise AudioError(f"Audio duration {duration_s:.2f}s must be > {MIN_AUDIO_DURATION_S}s") + if duration_s >= MAX_AUDIO_DURATION_S: + raise AudioError(f"Audio duration {duration_s:.2f}s must be < {MAX_AUDIO_DURATION_S}s") + + return { + "duration_s": duration_s, + "sample_rate": int(sample_rate), + "channels": channels, + } diff --git a/backend/config.py b/backend/config.py new file mode 100644 index 0000000000000000000000000000000000000000..ae76a885e7e7bd5359f9d46ac4a2047606534cb7 --- /dev/null +++ b/backend/config.py @@ -0,0 +1,66 @@ +"""Centralised application configuration loaded from environment variables.""" + +from __future__ import annotations + +from functools import lru_cache + +from dotenv import load_dotenv +from pydantic import ConfigDict +from pydantic_settings import BaseSettings + +load_dotenv() + + +class Settings(BaseSettings): + """Application settings schema loaded from environment variables. + + Params: + None: Values are read from process environment and optional `.env` file. + Returns: + Settings: Parsed and validated settings object. + """ + + model_config = ConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore") + + MEDASR_MODEL_ID: str = "google/medasr" + MEDGEMMA_4B_MODEL_ID: str = "google/medgemma-1.5-4b-it" + MEDGEMMA_27B_MODEL_ID: str = "google/medgemma-27b-text-it" + HF_TOKEN: str = "" + QUANTIZE_4BIT: bool = True + USE_FLASH_ATTENTION: bool = True + + FHIR_SERVER_URL: str = "http://localhost:8080/fhir" + USE_MOCK_FHIR: bool = True + FHIR_TIMEOUT_S: int = 10 + + APP_HOST: str = "0.0.0.0" + APP_PORT: int = 7860 + LOG_LEVEL: str = "INFO" + MAX_AUDIO_DURATION_S: int = 1800 + PIPELINE_TIMEOUT_S: int = 120 + DOC_GEN_MAX_TOKENS: int = 2048 + DOC_GEN_TEMPERATURE: float = 0.3 + + WANDB_API_KEY: str = "" + WANDB_PROJECT: str = "clarke-finetuning" + LORA_RANK: int = 16 + LORA_ALPHA: int = 32 + LORA_DROPOUT: float = 0.05 + TRAINING_EPOCHS: int = 3 + LEARNING_RATE: float = 2e-4 + BATCH_SIZE: int = 2 + GRAD_ACCUM_STEPS: int = 8 + MAX_SEQ_LENGTH: int = 4096 + + +@lru_cache(maxsize=1) +def get_settings() -> Settings: + """Return a cached settings instance for process-wide reuse. + + Params: + None: Reads values from environment variables and `.env` if present. + Returns: + Settings: Cached configuration object. + """ + + return Settings() diff --git a/backend/errors.py b/backend/errors.py new file mode 100644 index 0000000000000000000000000000000000000000..4ee3706e938fcc0893b2ac53f3989d661de49986 --- /dev/null +++ b/backend/errors.py @@ -0,0 +1,94 @@ +"""Error types and logging bootstrap for Clarke backend services.""" + +from __future__ import annotations + +from pathlib import Path + +from loguru import logger + + +class ClarkeError(Exception): + """Base exception for Clarke backend failures. + + Params: + message (str): Human-readable error message. + Returns: + None: Raises an exception instance. + """ + + +class ConfigError(ClarkeError): + """Raised when configuration values are missing or invalid. + + Params: + message (str): Human-readable error message. + Returns: + None: Raises an exception instance. + """ + + +class FHIRClientError(ClarkeError): + """Raised for FHIR retrieval and parsing failures. + + Params: + message (str): Human-readable error message. + Returns: + None: Raises an exception instance. + """ + + +class ModelExecutionError(ClarkeError): + """Raised when model loading or inference fails. + + Params: + message (str): Human-readable error message. + Returns: + None: Raises an exception instance. + """ + + +class AudioError(ClarkeError): + """Raised when audio input fails conversion or validation checks. + + Params: + message (str): Human-readable error message. + Returns: + None: Raises an exception instance. + """ + + +def configure_logging(log_level: str = "DEBUG") -> None: + """Configure loguru sinks for console and rotating file logs. + + Params: + log_level (str): Minimum enabled log severity level. + Returns: + None: Configures global logger side effects. + """ + + Path("logs").mkdir(parents=True, exist_ok=True) + logger.remove() + logger.add( + "logs/clarke_{time}.log", + format="{time:YYYY-MM-DD HH:mm:ss.SSS} | {level:<7} | {extra[component]:<15} | {message}", + rotation="50 MB", + retention="7 days", + level="DEBUG", + ) + logger.add( + sink="stderr", + format="{time:YYYY-MM-DD HH:mm:ss.SSS} | {level:<7} | {extra[component]:<15} | {message}", + level=log_level, + ) + + +def get_component_logger(component: str): + """Return a logger bound to a component name for structured logs. + + Params: + component (str): Logical module/component identifier. + Returns: + loguru.Logger: Bound logger with `component` context. + """ + + return logger.bind(component=component) diff --git a/backend/fhir/__init__.py b/backend/fhir/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..d445a1a9198869be1f1f4dc9ced38d786642d9eb --- /dev/null +++ b/backend/fhir/__init__.py @@ -0,0 +1 @@ +"""FHIR integration package for Clarke.""" diff --git a/backend/fhir/client.py b/backend/fhir/client.py new file mode 100644 index 0000000000000000000000000000000000000000..f4918923e8adffc816a12c85701660f6b873f646 --- /dev/null +++ b/backend/fhir/client.py @@ -0,0 +1,194 @@ +"""Asynchronous FHIR REST client for retrieving patient-scoped resources.""" + +from __future__ import annotations + +from typing import Any + +import httpx + +from backend.config import get_settings +from backend.errors import FHIRClientError, get_component_logger + +logger = get_component_logger("fhir_client") + + +class FHIRClient: + """HTTP client for FHIR query patterns used by Clarke orchestration. + + Args: + fhir_server_url (str): Base URL of FHIR API including `/fhir` path. + timeout_s (int): Request timeout in seconds. + + Returns: + None: Initialises a client instance. + """ + + def __init__(self, fhir_server_url: str, timeout_s: int) -> None: + self.fhir_server_url = fhir_server_url.rstrip("/") + self.timeout_s = timeout_s + + async def _request_json(self, path: str, params: dict[str, Any] | None = None) -> dict[str, Any]: + """Execute a GET request with timeout, 404-empty behaviour, and one 5xx retry. + + Args: + path (str): FHIR relative path beginning with `/`. + params (dict[str, Any] | None): Query parameters for the request. + + Returns: + dict[str, Any]: Parsed JSON response, or empty dictionary for 404 responses. + """ + + url = f"{self.fhir_server_url}{path}" + attempts = 0 + while attempts < 2: + attempts += 1 + try: + async with httpx.AsyncClient(timeout=self.timeout_s) as client: + response = await client.get(url, params=params) + except httpx.TimeoutException as exc: + logger.error("FHIR request timed out", url=url, params=params, timeout_s=self.timeout_s) + raise FHIRClientError( + f"FHIR timeout for {url} with params={params} after {self.timeout_s}s" + ) from exc + except httpx.HTTPError as exc: + logger.error("FHIR transport error", url=url, params=params, error=str(exc)) + raise FHIRClientError(f"FHIR transport error for {url}: {exc}") from exc + + if response.status_code == 404: + return {} + + if response.status_code >= 500 and attempts < 2: + logger.warning("FHIR server 5xx, retrying once", url=url, status_code=response.status_code) + continue + + if response.status_code >= 400: + raise FHIRClientError( + f"FHIR request failed for {url} status={response.status_code} body={response.text}" + ) + + return response.json() + + raise FHIRClientError(f"FHIR server error persisted after retry for {url}") + + async def get_patient(self, patient_id: str) -> dict[str, Any]: + """Fetch a Patient resource by id. + + Args: + patient_id (str): Patient identifier. + + Returns: + dict[str, Any]: Patient JSON resource or empty dict when not found. + """ + + return await self._request_json(f"/Patient/{patient_id}") + + async def search_patients(self, name: str, count: int = 10) -> dict[str, Any]: + """Search patients by name using FHIR Patient endpoint. + + Args: + name (str): Name fragment to search. + count (int): Maximum number of records to request. + + Returns: + dict[str, Any]: FHIR Bundle search response. + """ + + return await self._request_json("/Patient", params={"name": name, "_count": count}) + + async def get_conditions(self, patient_id: str, clinical_status: str = "active") -> dict[str, Any]: + """Fetch Condition resources for a patient. + + Args: + patient_id (str): Patient identifier. + clinical_status (str): Desired clinical status value. + + Returns: + dict[str, Any]: FHIR Bundle response. + """ + + return await self._request_json( + "/Condition", params={"patient": patient_id, "clinical-status": clinical_status} + ) + + async def get_medications(self, patient_id: str, status: str = "active") -> dict[str, Any]: + """Fetch MedicationRequest resources for a patient. + + Args: + patient_id (str): Patient identifier. + status (str): Medication status filter. + + Returns: + dict[str, Any]: FHIR Bundle response. + """ + + return await self._request_json("/MedicationRequest", params={"patient": patient_id, "status": status}) + + async def get_observations( + self, + patient_id: str, + category: str = "laboratory", + sort: str = "-date", + count: int = 20, + ) -> dict[str, Any]: + """Fetch Observation resources for a patient. + + Args: + patient_id (str): Patient identifier. + category (str): Observation category code filter. + sort (str): Sort directive for date-like fields. + count (int): Maximum number of records. + + Returns: + dict[str, Any]: FHIR Bundle response. + """ + + return await self._request_json( + "/Observation", + params={"patient": patient_id, "category": category, "_sort": sort, "_count": count}, + ) + + async def get_allergies(self, patient_id: str) -> dict[str, Any]: + """Fetch AllergyIntolerance resources for a patient. + + Args: + patient_id (str): Patient identifier. + + Returns: + dict[str, Any]: FHIR Bundle response. + """ + + return await self._request_json("/AllergyIntolerance", params={"patient": patient_id}) + + async def get_diagnostic_reports(self, patient_id: str, sort: str = "-date", count: int = 5) -> dict[str, Any]: + """Fetch DiagnosticReport resources for a patient. + + Args: + patient_id (str): Patient identifier. + sort (str): Sort directive for date-like fields. + count (int): Maximum number of records. + + Returns: + dict[str, Any]: FHIR Bundle response. + """ + + return await self._request_json( + "/DiagnosticReport", params={"patient": patient_id, "_sort": sort, "_count": count} + ) + + async def get_recent_encounters(self, patient_id: str, sort: str = "-date", count: int = 3) -> dict[str, Any]: + """Fetch recent Encounter resources for a patient. + + Args: + patient_id (str): Patient identifier. + sort (str): Sort directive for date-like fields. + count (int): Maximum number of records. + + Returns: + dict[str, Any]: FHIR Bundle response. + """ + + return await self._request_json("/Encounter", params={"patient": patient_id, "_sort": sort, "_count": count}) + + +settings = get_settings() +DEFAULT_FHIR_CLIENT = FHIRClient(fhir_server_url=settings.FHIR_SERVER_URL, timeout_s=settings.FHIR_TIMEOUT_S) diff --git a/backend/fhir/mock_api.py b/backend/fhir/mock_api.py new file mode 100644 index 0000000000000000000000000000000000000000..b68975a7c288c538de39c34c80b1678c60cffb98 --- /dev/null +++ b/backend/fhir/mock_api.py @@ -0,0 +1,412 @@ +"""Mock FHIR API server for local development and fallback deployments.""" + +from __future__ import annotations + +import json +import os +from pathlib import Path +from typing import Any + +import uvicorn +from fastapi import FastAPI, HTTPException, Query +from loguru import logger + +FHIR_BASE_URL = "http://localhost:8080/fhir" +DEFAULT_BUNDLES_DIR = Path(__file__).resolve().parents[2] / "data" / "fhir_bundles" + +app = FastAPI(title="Clarke Mock FHIR API", version="1.0.0") + + +class BundleIndex: + """In-memory index for patient bundles keyed by patient id and resource type.""" + + def __init__(self, bundles_dir: Path) -> None: + """Initialise and preload all FHIR bundles from disk. + + Args: + bundles_dir (Path): Directory containing per-patient bundle JSON files. + + Returns: + None: Instance state is populated in-place. + """ + self.bundles_dir = bundles_dir + self.patient_resources: dict[str, dict[str, Any]] = {} + self.resources_by_type: dict[str, dict[str, list[dict[str, Any]]]] = {} + self._load_bundles() + + def _load_bundles(self) -> None: + """Load all bundle files and build lookup indexes for API routes. + + Args: + None: Uses instance `bundles_dir`. + + Returns: + None: Internal index maps are rebuilt. + """ + if not self.bundles_dir.exists(): + logger.bind(component="mock_fhir_api").warning( + "Bundle directory does not exist", bundles_dir=str(self.bundles_dir) + ) + return + + for bundle_file in sorted(self.bundles_dir.glob("*.json")): + with bundle_file.open("r", encoding="utf-8") as file_handle: + bundle = json.load(file_handle) + + for entry in bundle.get("entry", []): + resource = entry.get("resource", {}) + resource_type = resource.get("resourceType") + if not resource_type: + continue + + patient_id = self._extract_patient_id(resource) + if not patient_id and resource_type == "Patient": + patient_id = resource.get("id") + + if not patient_id: + continue + + if resource_type == "Patient": + self.patient_resources[patient_id] = resource + + self.resources_by_type.setdefault(resource_type, {}).setdefault(patient_id, []).append(resource) + + logger.bind(component="mock_fhir_api").info( + "Loaded mock FHIR bundles", + patients=len(self.patient_resources), + bundles_dir=str(self.bundles_dir), + ) + + @staticmethod + def _extract_patient_id(resource: dict[str, Any]) -> str | None: + """Extract patient identifier from common FHIR reference fields. + + Args: + resource (dict[str, Any]): A FHIR resource object. + + Returns: + str | None: Patient id (e.g. `pt-001`) when detectable, otherwise None. + """ + reference_candidates = [ + resource.get("subject", {}).get("reference"), + resource.get("patient", {}).get("reference"), + ] + for candidate in reference_candidates: + if candidate and isinstance(candidate, str) and candidate.startswith("Patient/"): + return candidate.split("/", maxsplit=1)[1] + return None + + def get_patient(self, patient_id: str) -> dict[str, Any] | None: + """Return a single patient resource by id. + + Args: + patient_id (str): Patient identifier. + + Returns: + dict[str, Any] | None: Patient resource when present, else None. + """ + return self.patient_resources.get(patient_id) + + def get_resources(self, resource_type: str, patient_id: str) -> list[dict[str, Any]]: + """Return all indexed resources of a given type for a patient. + + Args: + resource_type (str): FHIR resource type name. + patient_id (str): Patient identifier. + + Returns: + list[dict[str, Any]]: Matching resources, empty list when none found. + """ + return self.resources_by_type.get(resource_type, {}).get(patient_id, []) + + def search_patients(self, name_term: str) -> list[dict[str, Any]]: + """Search patients by case-insensitive name matching across given/family/prefix. + + Args: + name_term (str): Name fragment entered by caller. + + Returns: + list[dict[str, Any]]: Matching patient resources. + """ + lowered = name_term.lower().strip() + matches: list[dict[str, Any]] = [] + for patient in self.patient_resources.values(): + for name in patient.get("name", []): + tokens = [] + tokens.extend(name.get("prefix", [])) + tokens.extend(name.get("given", [])) + if family := name.get("family"): + tokens.append(family) + if any(lowered in str(token).lower() for token in tokens): + matches.append(patient) + break + return matches + + +BUNDLE_INDEX = BundleIndex(Path(os.getenv("MOCK_FHIR_BUNDLES_DIR", str(DEFAULT_BUNDLES_DIR)))) + + +def build_search_bundle(resource_type: str, resources: list[dict[str, Any]]) -> dict[str, Any]: + """Build a FHIR searchset bundle payload from resource rows. + + Args: + resource_type (str): Resource type represented in `resources`. + resources (list[dict[str, Any]]): FHIR resources to include. + + Returns: + dict[str, Any]: FHIR Bundle with `entry` and `total` fields. + """ + entries = [ + { + "fullUrl": f"{FHIR_BASE_URL}/{resource_type}/{resource.get('id', '')}", + "resource": resource, + } + for resource in resources + ] + return { + "resourceType": "Bundle", + "type": "searchset", + "total": len(resources), + "entry": entries, + } + + +def get_effective_sort_key(resource: dict[str, Any]) -> str: + """Resolve date-like sort key for FHIR resources supporting `_sort=-date`. + + Args: + resource (dict[str, Any]): Resource candidate. + + Returns: + str: Date-like string usable for lexicographic descending sort. + """ + return ( + resource.get("effectiveDateTime") + or resource.get("issued") + or resource.get("authoredOn") + or resource.get("onsetDateTime") + or resource.get("period", {}).get("start") + or "" + ) + + +def get_patient_or_404(patient_id: str) -> dict[str, Any]: + """Resolve patient resource or raise a 404 HTTP exception. + + Args: + patient_id (str): Patient identifier to lookup. + + Returns: + dict[str, Any]: Existing patient resource. + """ + patient_resource = BUNDLE_INDEX.get_patient(patient_id) + if not patient_resource: + raise HTTPException(status_code=404, detail=f"Patient not found: {patient_id}") + return patient_resource + + +@app.get("/fhir/Patient/{patient_id}") +async def read_patient(patient_id: str) -> dict[str, Any]: + """Return a Patient resource by id. + + Args: + patient_id (str): Patient identifier path parameter. + + Returns: + dict[str, Any]: Patient resource payload. + """ + return get_patient_or_404(patient_id) + + +@app.get("/fhir/Patient") +async def search_patient(name: str = Query(default=""), _count: int = Query(default=10, ge=1)) -> dict[str, Any]: + """Search patients by name and return a FHIR searchset bundle. + + Args: + name (str): Name fragment for case-insensitive matching. + _count (int): Maximum result size. + + Returns: + dict[str, Any]: Search bundle of Patient resources. + """ + resources = BUNDLE_INDEX.search_patients(name) if name else list(BUNDLE_INDEX.patient_resources.values()) + return build_search_bundle("Patient", resources[:_count]) + + +def list_patient_resources(resource_type: str, patient: str, limit: int, sort_desc_by_date: bool = False) -> dict[str, Any]: + """Fetch filtered patient resources and wrap them as a searchset bundle. + + Args: + resource_type (str): FHIR resource type to return. + patient (str): Patient identifier. + limit (int): Maximum number of resources to include. + sort_desc_by_date (bool): Whether to sort descending by date-like fields. + + Returns: + dict[str, Any]: Search bundle for the requested resource type. + """ + get_patient_or_404(patient) + resources = list(BUNDLE_INDEX.get_resources(resource_type, patient)) + if sort_desc_by_date: + resources.sort(key=get_effective_sort_key, reverse=True) + return build_search_bundle(resource_type, resources[:limit]) + + +@app.get("/fhir/Condition") +async def list_conditions( + patient: str, + clinical_status: str | None = Query(default=None, alias="clinical-status"), + _count: int = Query(default=20, ge=1), +) -> dict[str, Any]: + """List Condition resources for a patient with optional active-status filtering. + + Args: + patient (str): Patient identifier query parameter. + clinical_status (str | None): Optional status filter (e.g. `active`). + _count (int): Maximum number of rows. + + Returns: + dict[str, Any]: Condition search bundle. + """ + bundle = list_patient_resources("Condition", patient, _count) + if clinical_status: + filtered_entries = [ + item + for item in bundle["entry"] + if any( + coding.get("code") == clinical_status + for coding in item["resource"].get("clinicalStatus", {}).get("coding", []) + ) + ] + bundle["entry"] = filtered_entries + bundle["total"] = len(filtered_entries) + return bundle + + +@app.get("/fhir/MedicationRequest") +async def list_medication_requests( + patient: str, + status: str | None = Query(default=None), + _count: int = Query(default=20, ge=1), +) -> dict[str, Any]: + """List MedicationRequest resources for a patient with optional status filter. + + Args: + patient (str): Patient identifier query parameter. + status (str | None): Optional medication status filter. + _count (int): Maximum number of rows. + + Returns: + dict[str, Any]: MedicationRequest search bundle. + """ + bundle = list_patient_resources("MedicationRequest", patient, _count, sort_desc_by_date=True) + if status: + filtered_entries = [item for item in bundle["entry"] if item["resource"].get("status") == status] + bundle["entry"] = filtered_entries + bundle["total"] = len(filtered_entries) + return bundle + + +@app.get("/fhir/Observation") +async def list_observations( + patient: str, + category: str | None = Query(default=None), + _sort: str | None = Query(default=None), + _count: int = Query(default=20, ge=1), +) -> dict[str, Any]: + """List Observation resources for a patient with category/count/sort controls. + + Args: + patient (str): Patient identifier query parameter. + category (str | None): Optional observation category code. + _sort (str | None): Optional sort string (`-date` expected). + _count (int): Maximum number of rows. + + Returns: + dict[str, Any]: Observation search bundle. + """ + sort_desc_by_date = _sort == "-date" + bundle = list_patient_resources("Observation", patient, _count, sort_desc_by_date=sort_desc_by_date) + if category: + filtered_entries = [ + item + for item in bundle["entry"] + if any( + coding.get("code") == category + for block in item["resource"].get("category", []) + for coding in block.get("coding", []) + ) + ] + bundle["entry"] = filtered_entries + bundle["total"] = len(filtered_entries) + return bundle + + +@app.get("/fhir/AllergyIntolerance") +async def list_allergies(patient: str, _count: int = Query(default=20, ge=1)) -> dict[str, Any]: + """List AllergyIntolerance resources for a patient. + + Args: + patient (str): Patient identifier query parameter. + _count (int): Maximum number of rows. + + Returns: + dict[str, Any]: AllergyIntolerance search bundle. + """ + return list_patient_resources("AllergyIntolerance", patient, _count) + + +@app.get("/fhir/DiagnosticReport") +async def list_diagnostic_reports( + patient: str, + _sort: str | None = Query(default=None), + _count: int = Query(default=5, ge=1), +) -> dict[str, Any]: + """List DiagnosticReport resources for a patient with optional date sorting. + + Args: + patient (str): Patient identifier query parameter. + _sort (str | None): Optional sort string (`-date` expected). + _count (int): Maximum number of rows. + + Returns: + dict[str, Any]: DiagnosticReport search bundle. + """ + return list_patient_resources("DiagnosticReport", patient, _count, sort_desc_by_date=_sort == "-date") + + +@app.get("/fhir/Encounter") +async def list_encounters( + patient: str, + _sort: str | None = Query(default=None), + _count: int = Query(default=3, ge=1), +) -> dict[str, Any]: + """List Encounter resources for a patient with optional date sorting. + + Args: + patient (str): Patient identifier query parameter. + _sort (str | None): Optional sort string (`-date` expected). + _count (int): Maximum number of rows. + + Returns: + dict[str, Any]: Encounter search bundle. + """ + return list_patient_resources("Encounter", patient, _count, sort_desc_by_date=_sort == "-date") + + +def main() -> None: + """Run the mock FHIR API server. + + Args: + None: Reads host/port from environment variables. + + Returns: + None: Starts uvicorn process. + """ + host = os.getenv("MOCK_FHIR_HOST", "0.0.0.0") + port = int(os.getenv("MOCK_FHIR_PORT", "8080")) + uvicorn.run("backend.fhir.mock_api:app", host=host, port=port, reload=False) + + +if __name__ == "__main__": + main() diff --git a/backend/fhir/queries.py b/backend/fhir/queries.py new file mode 100644 index 0000000000000000000000000000000000000000..290f83a50636186e740db732149c41ff18361fe2 --- /dev/null +++ b/backend/fhir/queries.py @@ -0,0 +1,62 @@ +"""Deterministic FHIR query aggregation used as EHR fallback context retrieval.""" + +from __future__ import annotations + +import asyncio +from typing import Any + +from backend.fhir.client import DEFAULT_FHIR_CLIENT +from backend.fhir.tools import ( + get_allergies, + get_conditions, + get_diagnostic_reports, + get_medications, + get_observations, + get_recent_encounters, + search_patients, +) + + +async def get_full_patient_context(patient_id: str) -> dict[str, Any]: + """Aggregate all FHIR tool outputs for deterministic patient context assembly. + + Args: + patient_id (str): Patient identifier. + + Returns: + dict[str, Any]: Aggregated context containing all seven tool result sections. + """ + + ( + patients, + conditions, + medications, + observations, + allergies, + diagnostic_reports, + encounters, + ) = await asyncio.gather( + search_patients(patient_id), + get_conditions(patient_id), + get_medications(patient_id), + get_observations(patient_id), + get_allergies(patient_id), + get_diagnostic_reports(patient_id), + get_recent_encounters(patient_id), + ) + + if not patients: + patient_resource = await DEFAULT_FHIR_CLIENT.get_patient(patient_id) + if patient_resource: + patients = [patient_resource] + + return { + "patient_id": patient_id, + "patients": patients, + "conditions": conditions, + "medications": medications, + "observations": observations, + "allergies": allergies, + "diagnostic_reports": diagnostic_reports, + "encounters": encounters, + } diff --git a/backend/fhir/tools.py b/backend/fhir/tools.py new file mode 100644 index 0000000000000000000000000000000000000000..4dda9ca075fe9c9a1f35bb6cc55cec7937ff39cf --- /dev/null +++ b/backend/fhir/tools.py @@ -0,0 +1,120 @@ +"""FHIR tool-call wrappers that extract resources from bundle responses.""" + +from __future__ import annotations + +from typing import Any + +from backend.fhir.client import DEFAULT_FHIR_CLIENT + + +def _bundle_entries(bundle: dict[str, Any]) -> list[dict[str, Any]]: + """Extract resource rows from a FHIR Bundle payload. + + Args: + bundle (dict[str, Any]): Raw FHIR Bundle response. + + Returns: + list[dict[str, Any]]: Resource dictionaries found in bundle entries. + """ + + entries = bundle.get("entry", []) if isinstance(bundle, dict) else [] + return [item.get("resource", {}) for item in entries if isinstance(item, dict) and isinstance(item.get("resource"), dict)] + + +async def search_patients(name: str) -> list[dict[str, Any]]: + """Search patient resources by name. + + Args: + name (str): Name term for patient search. + + Returns: + list[dict[str, Any]]: Matching Patient resources. + """ + + response = await DEFAULT_FHIR_CLIENT.search_patients(name=name) + return _bundle_entries(response) + + +async def get_conditions(patient_id: str) -> list[dict[str, Any]]: + """Return active condition resources for a patient. + + Args: + patient_id (str): Patient identifier. + + Returns: + list[dict[str, Any]]: Condition resources. + """ + + response = await DEFAULT_FHIR_CLIENT.get_conditions(patient_id=patient_id) + return _bundle_entries(response) + + +async def get_medications(patient_id: str) -> list[dict[str, Any]]: + """Return active medication request resources for a patient. + + Args: + patient_id (str): Patient identifier. + + Returns: + list[dict[str, Any]]: MedicationRequest resources. + """ + + response = await DEFAULT_FHIR_CLIENT.get_medications(patient_id=patient_id) + return _bundle_entries(response) + + +async def get_observations(patient_id: str, category: str = "laboratory") -> list[dict[str, Any]]: + """Return observation resources for a patient and category. + + Args: + patient_id (str): Patient identifier. + category (str): Observation category code. + + Returns: + list[dict[str, Any]]: Observation resources. + """ + + response = await DEFAULT_FHIR_CLIENT.get_observations(patient_id=patient_id, category=category) + return _bundle_entries(response) + + +async def get_allergies(patient_id: str) -> list[dict[str, Any]]: + """Return allergy resources for a patient. + + Args: + patient_id (str): Patient identifier. + + Returns: + list[dict[str, Any]]: AllergyIntolerance resources. + """ + + response = await DEFAULT_FHIR_CLIENT.get_allergies(patient_id=patient_id) + return _bundle_entries(response) + + +async def get_diagnostic_reports(patient_id: str) -> list[dict[str, Any]]: + """Return diagnostic report resources for a patient. + + Args: + patient_id (str): Patient identifier. + + Returns: + list[dict[str, Any]]: DiagnosticReport resources. + """ + + response = await DEFAULT_FHIR_CLIENT.get_diagnostic_reports(patient_id=patient_id) + return _bundle_entries(response) + + +async def get_recent_encounters(patient_id: str) -> list[dict[str, Any]]: + """Return recent encounter resources for a patient. + + Args: + patient_id (str): Patient identifier. + + Returns: + list[dict[str, Any]]: Encounter resources. + """ + + response = await DEFAULT_FHIR_CLIENT.get_recent_encounters(patient_id=patient_id) + return _bundle_entries(response) diff --git a/backend/models/__init__.py b/backend/models/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..35903238eb80c3fdc1dde6d10f7b92489c0c55bb --- /dev/null +++ b/backend/models/__init__.py @@ -0,0 +1 @@ +"""Model wrappers for Clarke backend pipelines.""" diff --git a/backend/models/doc_generator.py b/backend/models/doc_generator.py new file mode 100644 index 0000000000000000000000000000000000000000..c8ef5d65a51425bc45a817f82673ba1090d80813 --- /dev/null +++ b/backend/models/doc_generator.py @@ -0,0 +1,342 @@ +"""MedGemma 27B document generation wrapper with prompt rendering and section parsing.""" + +from __future__ import annotations + +import json +import re +import time +from datetime import datetime, timezone +from pathlib import Path +from typing import Any + +from jinja2 import Environment, FileSystemLoader + +try: + import torch + from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig +except ModuleNotFoundError: # pragma: no cover - mock mode support + torch = None + AutoModelForCausalLM = None + AutoTokenizer = None + BitsAndBytesConfig = None + +from backend.config import get_settings +from backend.errors import ModelExecutionError, get_component_logger +from backend.schemas import ClinicalDocument, ConsultationStatus, DocumentSection, PatientContext + +logger = get_component_logger("doc_generator") + +PROMPTS_DIR = Path("backend/prompts") +KNOWN_SECTION_HEADINGS = [ + "History of presenting complaint", + "Examination findings", + "Investigation results", + "Assessment and plan", + "Current medications", +] + + +class DocumentGenerator: + """Generate NHS clinic letters from transcript + patient context using MedGemma 27B. + + Args: + model_id (str | None): Optional model identifier override. + + Returns: + None: Initialises lazy model/tokenizer handles and runtime settings. + """ + + def __init__(self, model_id: str | None = None) -> None: + """Initialise document generator model wrapper state. + + Args: + model_id (str | None): Optional model identifier override. + + Returns: + None: Stores settings and lazy-loaded model state. + """ + + self.settings = get_settings() + self.model_id = model_id or self.settings.MEDGEMMA_27B_MODEL_ID + self._tokenizer: Any | None = None + self._model: Any | None = None + self.is_mock_mode = self.model_id.lower() == "mock" + + def load_model(self) -> None: + """Load MedGemma 27B tokenizer and model in 4-bit quantised mode. + + Args: + None: Reads class configuration and settings values. + + Returns: + None: Populates model/tokenizer attributes or mock sentinel state. + """ + + if self.is_mock_mode: + logger.info("Document generator initialised in mock mode") + self._tokenizer = "mock" + self._model = "mock" + return + if self._model is not None and self._tokenizer is not None: + return + + if AutoModelForCausalLM is None or AutoTokenizer is None or BitsAndBytesConfig is None or torch is None: + raise ModelExecutionError("transformers and torch are required for non-mock document generation") + + try: + bnb_config = BitsAndBytesConfig( + load_in_4bit=True, + bnb_4bit_quant_type="nf4", + bnb_4bit_compute_dtype=torch.bfloat16, + bnb_4bit_use_double_quant=True, + ) + self._tokenizer = AutoTokenizer.from_pretrained(self.model_id) + self._model = AutoModelForCausalLM.from_pretrained( + self.model_id, + quantization_config=bnb_config, + device_map="auto", + torch_dtype=torch.bfloat16, + ) + logger.info("Loaded MedGemma document model", model_id=self.model_id) + except Exception as exc: + raise ModelExecutionError(f"Failed to load MedGemma 27B model: {exc}") from exc + + def generate(self, prompt: str, max_new_tokens: int | None = None) -> str: + """Generate raw letter text from a rendered prompt. + + Args: + prompt (str): Fully rendered prompt string. + max_new_tokens (int | None): Optional generation token cap override. + + Returns: + str: Raw decoded generated text output from the model. + """ + + if self._model is None or self._tokenizer is None: + self.load_model() + + if self.is_mock_mode: + return self._mock_reference_letter() + + generation_max_tokens = max_new_tokens or self.settings.DOC_GEN_MAX_TOKENS + try: + inputs = self._tokenizer(prompt, return_tensors="pt") + if hasattr(self._model, "device"): + inputs = {key: value.to(self._model.device) for key, value in inputs.items()} + output_tokens = self._model.generate( + **inputs, + max_new_tokens=generation_max_tokens, + temperature=0.3, + top_p=0.9, + top_k=40, + do_sample=True, + repetition_penalty=1.1, + ) + except Exception as exc: + raise ModelExecutionError(f"MedGemma 27B inference failed: {exc}") from exc + + decoded_output = self._tokenizer.decode(output_tokens[0], skip_special_tokens=True) + return self._strip_prompt_prefix(decoded_output, prompt) + + def generate_document( + self, + transcript: str, + context: PatientContext, + max_new_tokens: int | None = None, + ) -> ClinicalDocument: + """Render prompt, generate text with retry policy, and build ClinicalDocument. + + Args: + transcript (str): Consultation transcript text. + context (PatientContext): Structured patient context payload. + max_new_tokens (int | None): Optional generation token limit override. + + Returns: + ClinicalDocument: Parsed clinical letter representation with section objects. + """ + + prompt = self._render_prompt(transcript, context) + generation_start = time.perf_counter() + + last_error: Exception | None = None + first_limit = max_new_tokens or 2048 + retry_limit = max(256, first_limit // 2) + for attempt, token_limit in enumerate((first_limit, retry_limit), start=1): + try: + generated_text = self.generate(prompt, max_new_tokens=token_limit) + sections = self._parse_sections(generated_text) + if len(sections) < 4: + raise ValueError("Generated output did not contain enough parseable sections") + generation_time_s = round(time.perf_counter() - generation_start, 3) + return self._build_document(context, sections, generation_time_s) + except Exception as exc: # noqa: BLE001 + last_error = exc + logger.warning("Document generation attempt failed", attempt=attempt, error=str(exc)) + + raise ModelExecutionError(f"Document generation failed after retry: {last_error}") + + def _render_prompt(self, transcript: str, context: PatientContext) -> str: + """Render the document generation Jinja2 template with consultation inputs. + + Args: + transcript (str): Consultation transcript text. + context (PatientContext): Structured patient context data. + + Returns: + str: Rendered prompt string supplied to the language model. + """ + + env = Environment(loader=FileSystemLoader(PROMPTS_DIR)) + template = env.get_template("document_generation.j2") + context_json = json.dumps(context.model_dump(mode="json"), ensure_ascii=False, indent=2) + return template.render( + letter_date=datetime.now(tz=timezone.utc).strftime("%d %b %Y"), + clinician_name="Dr. Sarah Chen", + clinician_title="Consultant Diabetologist", + transcript=transcript, + context_json=context_json, + ) + + @staticmethod + def _parse_sections(generated_text: str) -> list[DocumentSection]: + """Parse generated letter text into section objects using heading detection rules. + + Args: + generated_text (str): Raw generated letter text. + + Returns: + list[DocumentSection]: Ordered parsed sections with heading and content fields. + """ + + section_pattern = re.compile( + r"^(?:\*\*|##\s*)?(History of presenting complaint|Examination findings|Investigation results|Assessment and plan|Current medications)[:\*\s]*$", + flags=re.IGNORECASE, + ) + sections: list[DocumentSection] = [] + current_heading: str | None = None + current_lines: list[str] = [] + + for raw_line in generated_text.splitlines(): + line = raw_line.strip() + heading_match = section_pattern.match(line) + if heading_match: + if current_heading and current_lines: + sections.append( + DocumentSection( + heading=current_heading, + content="\n".join(current_lines).strip(), + editable=True, + fhir_sources=[], + ) + ) + current_heading = heading_match.group(1).strip().title() + current_lines = [] + continue + + if current_heading and line: + current_lines.append(line) + + if current_heading and current_lines: + sections.append( + DocumentSection( + heading=current_heading, + content="\n".join(current_lines).strip(), + editable=True, + fhir_sources=[], + ) + ) + + if not sections: + sections = [ + DocumentSection( + heading=heading, + content="Content unavailable in generated output.", + editable=True, + fhir_sources=[], + ) + for heading in KNOWN_SECTION_HEADINGS + ] + return sections + + @staticmethod + def _build_document( + context: PatientContext, + sections: list[DocumentSection], + generation_time_s: float, + ) -> ClinicalDocument: + """Construct ClinicalDocument schema object from parsed generation outputs. + + Args: + context (PatientContext): Structured patient context data. + sections (list[DocumentSection]): Parsed generated document sections. + generation_time_s (float): Generation wall-clock duration in seconds. + + Returns: + ClinicalDocument: Final structured letter ready for API response. + """ + + demographics = context.demographics + patient_name = str(demographics.get("name", "Unknown patient")) + patient_dob = str(demographics.get("dob", "")) + nhs_number = str(demographics.get("nhs_number", "")) + medications_list = [med.get("name", "") for med in context.medications if med.get("name")] + + return ClinicalDocument( + consultation_id=context.patient_id, + letter_date=datetime.now(tz=timezone.utc).strftime("%Y-%m-%d"), + patient_name=patient_name, + patient_dob=patient_dob, + nhs_number=nhs_number, + addressee="GP Practice", + salutation="Dear Dr.,", + sections=sections, + medications_list=medications_list, + sign_off="Dr. Sarah Chen, Consultant Diabetologist", + status=ConsultationStatus.REVIEW, + generated_at=datetime.now(tz=timezone.utc).isoformat(), + generation_time_s=generation_time_s, + discrepancies=[], + ) + + @staticmethod + def _strip_prompt_prefix(decoded_output: str, prompt: str) -> str: + """Remove prompt text prefix when decoder echoes the full prompt + completion. + + Args: + decoded_output (str): Tokenizer-decoded text from model output ids. + prompt (str): Original model prompt string. + + Returns: + str: Completion-only output when prompt prefix is present. + """ + + if decoded_output.startswith(prompt): + return decoded_output[len(prompt) :].strip() + return decoded_output.strip() + + @staticmethod + def _mock_reference_letter() -> str: + """Return deterministic reference letter text for mock mode generation. + + Args: + None: Uses embedded fixture text. + + Returns: + str: Structured letter text with known section headings. + """ + + return ( + "History of presenting complaint\n" + "Mrs Thompson reported worsening fatigue and reduced exercise tolerance over the last three months. " + "She confirmed she is taking metformin and gliclazide but occasionally misses evening doses.\n\n" + "Examination findings\n" + "No acute distress was described during the consultation. She denied chest pain, syncope, or focal neurological symptoms.\n\n" + "Investigation results\n" + "Recent blood results showed HbA1c 55 mmol/mol with eGFR 52 mL/min/1.73m². " + "Penicillin allergy with previous anaphylaxis was reconfirmed.\n\n" + "Assessment and plan\n" + "Overall picture is suboptimal glycaemic control with associated fatigue. Plan is lifestyle reinforcement, medicine adherence review, " + "repeat renal profile in 3 months, and consideration of treatment escalation if HbA1c remains above target.\n\n" + "Current medications\n" + "Metformin 1 g twice daily; Gliclazide 80 mg twice daily." + ) diff --git a/backend/models/ehr_agent.py b/backend/models/ehr_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..249db17c2241c515ea3f186a56e4436c2b831f6f --- /dev/null +++ b/backend/models/ehr_agent.py @@ -0,0 +1,459 @@ +"""EHR Agent module for deterministic FHIR retrieval and MedGemma 4B summarisation.""" + +from __future__ import annotations + +import asyncio +import json +import re +from datetime import date, datetime, timezone +from pathlib import Path +from typing import Any + +from jinja2 import Template +from pydantic import ValidationError + +try: + import torch + from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig +except ModuleNotFoundError: # pragma: no cover - mock mode support + torch = None + AutoModelForCausalLM = None + AutoTokenizer = None + BitsAndBytesConfig = None + +from backend.config import get_settings +from backend.errors import ModelExecutionError, get_component_logger +from backend.fhir.queries import get_full_patient_context +from backend.schemas import LabResult, PatientContext + +logger = get_component_logger("ehr_agent") + + +DEFAULT_CONTEXT_PROMPT = """You are a clinical EHR synthesis agent. +Given the raw FHIR payload below, output only valid JSON for this schema: +{ + \"patient_id\": \"...\", + \"demographics\": {...}, + \"problem_list\": [\"...\"], + \"medications\": [{...}], + \"allergies\": [{...}], + \"recent_labs\": [{...}], + \"recent_imaging\": [{...}], + \"clinical_flags\": [\"...\"], + \"last_letter_excerpt\": null, + \"retrieval_warnings\": [], + \"retrieved_at\": \"...\" +} + +Raw FHIR context JSON: +{{ raw_context_json }} +""" + + +def parse_agent_output(raw_output: str) -> dict[str, Any]: + """Extract first JSON object from MedGemma output after stripping prompt leaks. + + Args: + raw_output (str): Raw model generation text that may contain extra formatting. + + Returns: + dict[str, Any]: Parsed JSON object extracted from model output. + """ + + cleaned_output = re.sub(r"<\|system\|>.*?<\|end\|>", "", raw_output, flags=re.DOTALL) + cleaned_output = re.sub(r"```json\s*", "", cleaned_output) + cleaned_output = re.sub(r"```\s*", "", cleaned_output) + match = re.search(r"\{[\s\S]*\}", cleaned_output) + if match: + return json.loads(match.group()) + raise ValueError("No valid JSON found in agent output") + + +class EHRAgent: + """Retrieve raw FHIR context and synthesise a validated PatientContext object. + + Args: + model_id (str | None): Optional override for MedGemma 4B model ID. + + Returns: + None: Creates an agent instance with lazy model loading. + """ + + def __init__(self, model_id: str | None = None) -> None: + settings = get_settings() + self.model_id = model_id or settings.MEDGEMMA_4B_MODEL_ID + self.timeout_s = settings.FHIR_TIMEOUT_S + self._model: Any | None = None + self._tokenizer: Any | None = None + self.is_mock_mode = self.model_id.lower() == "mock" + + def load_model(self) -> None: + """Load the MedGemma 4B model/tokenizer in 4-bit mode unless running in mock mode. + + Args: + None: Uses configured model ID and quantisation settings. + + Returns: + None: Populates tokenizer/model attributes for inference. + """ + + if self.is_mock_mode: + logger.info("EHR agent initialised in mock mode") + return + if self._model is not None and self._tokenizer is not None: + return + + if AutoModelForCausalLM is None or AutoTokenizer is None or BitsAndBytesConfig is None or torch is None: + raise ModelExecutionError("transformers and torch are required for non-mock EHR mode") + + try: + bnb_config = BitsAndBytesConfig( + load_in_4bit=True, + bnb_4bit_quant_type="nf4", + bnb_4bit_compute_dtype=torch.bfloat16, + bnb_4bit_use_double_quant=True, + ) + self._tokenizer = AutoTokenizer.from_pretrained(self.model_id) + self._model = AutoModelForCausalLM.from_pretrained( + self.model_id, + quantization_config=bnb_config, + device_map="auto", + torch_dtype=torch.bfloat16, + ) + logger.info("Loaded EHR agent model", model_id=self.model_id) + except Exception as exc: + raise ModelExecutionError(f"Failed to load MedGemma EHR model: {exc}") from exc + + def get_patient_context(self, patient_id: str) -> PatientContext: + """Return structured patient context using deterministic FHIR retrieval with robust fallback. + + Args: + patient_id (str): Patient identifier used across FHIR resources. + + Returns: + PatientContext: Validated patient context instance for downstream pipeline use. + """ + + raw_context = asyncio.run(get_full_patient_context(patient_id)) + + if self.is_mock_mode: + return self._build_context_from_raw(raw_context) + + self.load_model() + for attempt in range(1, 3): + try: + summarised_context = self._summarise_with_model(raw_context) + return PatientContext.model_validate(summarised_context) + except (ValidationError, ValueError, ModelExecutionError, json.JSONDecodeError) as exc: + logger.warning( + "EHR model summarisation failed; retrying or falling back", + patient_id=patient_id, + attempt=attempt, + error=str(exc), + ) + + fallback_context = self._build_context_from_raw(raw_context) + fallback_context.retrieval_warnings.append( + "MedGemma summarisation unavailable; context built via deterministic extraction." + ) + return fallback_context + + def _summarise_with_model(self, raw_context: dict[str, Any]) -> dict[str, Any]: + """Run MedGemma generation and parse into a dictionary payload. + + Args: + raw_context (dict[str, Any]): Deterministic FHIR aggregation from tool queries. + + Returns: + dict[str, Any]: Parsed context dictionary extracted from model output JSON. + """ + + if self._model is None or self._tokenizer is None: + raise ModelExecutionError("Model and tokenizer must be loaded before inference") + + prompt = self._render_context_prompt(raw_context) + inputs = self._tokenizer(prompt, return_tensors="pt") + if hasattr(self._model, "device"): + inputs = {key: value.to(self._model.device) for key, value in inputs.items()} + + try: + output_tokens = self._model.generate( + **inputs, + max_new_tokens=1024, + do_sample=True, + temperature=0.2, + top_p=0.9, + repetition_penalty=1.1, + ) + except Exception as exc: + raise ModelExecutionError(f"MedGemma EHR generation failed: {exc}") from exc + + raw_output = self._tokenizer.decode(output_tokens[0], skip_special_tokens=True) + return parse_agent_output(raw_output) + + def _render_context_prompt(self, raw_context: dict[str, Any]) -> str: + """Render context synthesis prompt from Jinja template or built-in fallback template. + + Args: + raw_context (dict[str, Any]): Deterministic FHIR context dictionary. + + Returns: + str: Prompt text for MedGemma summarisation. + """ + + prompt_template_path = Path("backend/prompts/context_synthesis.j2") + if prompt_template_path.exists(): + template_text = prompt_template_path.read_text(encoding="utf-8") + else: + template_text = DEFAULT_CONTEXT_PROMPT + + template = Template(template_text) + return template.render(raw_context_json=json.dumps(raw_context, ensure_ascii=False, indent=2)) + + def _build_context_from_raw(self, raw_context: dict[str, Any]) -> PatientContext: + """Construct PatientContext directly from raw FHIR resources as deterministic fallback. + + Args: + raw_context (dict[str, Any]): Deterministic FHIR context dictionary. + + Returns: + PatientContext: Fully structured context generated without model summarisation. + """ + + patient = raw_context.get("patients", [{}])[0] if raw_context.get("patients") else {} + demographics = self._extract_demographics(patient) + problem_list = self._extract_problem_list(raw_context.get("conditions", [])) + medications = self._extract_medications(raw_context.get("medications", [])) + allergies = self._extract_allergies(raw_context.get("allergies", [])) + recent_labs = self._extract_labs(raw_context.get("observations", [])) + recent_imaging = self._extract_imaging(raw_context.get("diagnostic_reports", [])) + + clinical_flags: list[str] = [] + hba1c_values = [lab for lab in recent_labs if lab.name.lower() == "hba1c"] + if len(hba1c_values) >= 2: + latest = float(hba1c_values[0].value) + previous = float(hba1c_values[1].value) + if latest > previous: + clinical_flags.append(f"HbA1c rising trend ({hba1c_values[1].value} → {hba1c_values[0].value})") + + return PatientContext( + patient_id=str(raw_context.get("patient_id", "")), + demographics=demographics, + problem_list=problem_list, + medications=medications, + allergies=allergies, + recent_labs=recent_labs, + recent_imaging=recent_imaging, + clinical_flags=clinical_flags, + last_letter_excerpt=None, + retrieval_warnings=[], + retrieved_at=datetime.now(tz=timezone.utc).isoformat(), + ) + + @staticmethod + def _extract_demographics(patient: dict[str, Any]) -> dict[str, Any]: + """Extract demographics map from FHIR Patient resource. + + Args: + patient (dict[str, Any]): FHIR Patient resource dictionary. + + Returns: + dict[str, Any]: Simplified demographics payload. + """ + + names = patient.get("name", []) + first_name = names[0] if names else {} + full_name_parts = first_name.get("prefix", []) + first_name.get("given", []) + [first_name.get("family", "")] + full_name = " ".join(part for part in full_name_parts if part).strip() + + nhs_number = "" + for identifier in patient.get("identifier", []): + if "nhs" in str(identifier.get("system", "")).lower() or identifier.get("value"): + nhs_number = str(identifier.get("value", "")) + if nhs_number: + break + + birth_date_value = patient.get("birthDate", "") + birth_date_raw = str(birth_date_value).strip() if birth_date_value is not None else "" + dob_display = birth_date_raw + age: int | None = None + if birth_date_raw and birth_date_raw != 'None': + try: + parsed_dob = date.fromisoformat(birth_date_raw) + dob_display = parsed_dob.strftime("%d/%m/%Y") + today = date.today() + age = today.year - parsed_dob.year - ((today.month, today.day) < (parsed_dob.month, parsed_dob.day)) + except ValueError: + dob_display = birth_date_raw + + nhs_clean = "".join(ch for ch in nhs_number if ch.isdigit()) + if len(nhs_clean) == 10: + nhs_number = f"{nhs_clean[:3]}-{nhs_clean[3:6]}-{nhs_clean[6:]}" + + return { + "name": full_name, + "dob": dob_display, + "nhs_number": nhs_number, + "age": age, + "sex": str(patient.get("gender", "")).capitalize(), + "address": "", + } + + @staticmethod + def _extract_problem_list(conditions: list[dict[str, Any]]) -> list[str]: + """Extract active problem list from FHIR Condition resources. + + Args: + conditions (list[dict[str, Any]]): List of FHIR Condition resources. + + Returns: + list[str]: Human-readable problem entries. + """ + + problems: list[str] = [] + for condition in conditions: + status_codes = condition.get("clinicalStatus", {}).get("coding", []) + is_active = any(code.get("code") == "active" for code in status_codes) if status_codes else True + label = str(condition.get("code", {}).get("text", "")).strip() + if is_active and label: + problems.append(label) + return problems + + @staticmethod + def _extract_medications(medications: list[dict[str, Any]]) -> list[dict[str, Any]]: + """Extract simplified medication entries from MedicationRequest resources. + + Args: + medications (list[dict[str, Any]]): List of FHIR MedicationRequest resources. + + Returns: + list[dict[str, Any]]: Medication records with source IDs. + """ + + extracted: list[dict[str, Any]] = [] + for medication in medications: + dosage_text = "" + dosage_instructions = medication.get("dosageInstruction", []) + if dosage_instructions: + dosage_text = str(dosage_instructions[0].get("text", "")).strip() + + dose = "" + frequency = "" + if dosage_text: + parts = dosage_text.rsplit(" ", maxsplit=1) + if len(parts) == 2: + dose, frequency = parts[0], parts[1] + else: + dose = dosage_text + + extracted.append( + { + "name": str(medication.get("medicationCodeableConcept", {}).get("text", "")).strip(), + "dose": dose, + "frequency": frequency, + "fhir_id": str(medication.get("id", "")), + } + ) + return extracted + + @staticmethod + def _extract_allergies(allergies: list[dict[str, Any]]) -> list[dict[str, Any]]: + """Extract allergy summary records from AllergyIntolerance resources. + + Args: + allergies (list[dict[str, Any]]): List of FHIR AllergyIntolerance resources. + + Returns: + list[dict[str, Any]]: Simplified allergy entries. + """ + + extracted: list[dict[str, Any]] = [] + for allergy in allergies: + reaction = "" + reactions = allergy.get("reaction", []) + if reactions: + manifestations = reactions[0].get("manifestation", []) + if manifestations: + reaction = str(manifestations[0].get("text", "")) + extracted.append( + { + "substance": str(allergy.get("code", {}).get("text", "")).strip(), + "reaction": reaction, + "severity": str(allergy.get("criticality", "")).strip() or "unknown", + } + ) + return extracted + + @staticmethod + def _extract_labs(observations: list[dict[str, Any]]) -> list[LabResult]: + """Extract laboratory results from Observation resources with simple trend linkage. + + Args: + observations (list[dict[str, Any]]): List of FHIR Observation resources. + + Returns: + list[LabResult]: Structured laboratory results sorted by effective date. + """ + + labs: list[LabResult] = [] + sorted_observations = sorted( + observations, + key=lambda obs: str(obs.get("effectiveDateTime", "")), + reverse=True, + ) + previous_by_name: dict[str, LabResult] = {} + + for observation in sorted_observations: + quantity = observation.get("valueQuantity", {}) + name = str(observation.get("code", {}).get("text", "")).strip() + value = str(quantity.get("value", "")) + unit = str(quantity.get("unit", "")) + date = str(observation.get("effectiveDateTime", "")) + lab = LabResult( + name=name, + value=value, + unit=unit, + date=date, + fhir_resource_id=str(observation.get("id", "")), + ) + if name in previous_by_name: + previous = previous_by_name[name] + lab.previous_value = previous.value + lab.previous_date = previous.date + try: + current_val = float(lab.value) + previous_val = float(previous.value) + if current_val > previous_val: + lab.trend = "rising" + elif current_val < previous_val: + lab.trend = "falling" + else: + lab.trend = "stable" + except (TypeError, ValueError): + lab.trend = None + previous_by_name[name] = lab + labs.append(lab) + + return labs + + @staticmethod + def _extract_imaging(reports: list[dict[str, Any]]) -> list[dict[str, Any]]: + """Extract concise imaging/report summaries from DiagnosticReport resources. + + Args: + reports (list[dict[str, Any]]): List of FHIR DiagnosticReport resources. + + Returns: + list[dict[str, Any]]: Recent report summary entries. + """ + + extracted: list[dict[str, Any]] = [] + for report in reports: + extracted.append( + { + "type": str(report.get("code", {}).get("text", "Diagnostic report")), + "date": str(report.get("effectiveDateTime", "")), + "summary": str(report.get("conclusion", "")).strip(), + } + ) + return extracted diff --git a/backend/models/medasr.py b/backend/models/medasr.py new file mode 100644 index 0000000000000000000000000000000000000000..67147742844132eeea8fbf47f1b5712a909f017f --- /dev/null +++ b/backend/models/medasr.py @@ -0,0 +1,180 @@ +"""MedASR model wrapper with mock-mode fallback transcription.""" + +from __future__ import annotations + +from datetime import datetime, timezone +from pathlib import Path + +import librosa +try: + from transformers import pipeline +except ModuleNotFoundError: # pragma: no cover - mock mode support + pipeline = None + +from backend.config import get_settings +from backend.errors import ModelExecutionError +from backend.models.model_manager import ModelManager +from backend.schemas import Transcript + + +class MedASRModel: + """Load and run MedASR speech recognition or a deterministic mock implementation. + + Args: + model_manager (ModelManager | None): Optional shared model registry manager. + + Returns: + None: Initialised model wrapper with lazy-loaded pipeline. + """ + + def __init__(self, model_manager: ModelManager | None = None) -> None: + """Initialise MedASR wrapper. + + Args: + model_manager (ModelManager | None): Optional model manager instance. + + Returns: + None: Sets internal settings and model state. + """ + self.settings = get_settings() + self.model_manager = model_manager or ModelManager() + self._pipeline = None + + @property + def is_mock_mode(self) -> bool: + """Return whether MedASR should operate in deterministic mock mode. + + Args: + None: Reads current settings. + + Returns: + bool: True when configured model id is "mock". + """ + return self.settings.MEDASR_MODEL_ID.lower() == "mock" + + def load_model(self) -> None: + """Load the MedASR transformer pipeline unless running in mock mode. + + Args: + None: Uses settings for model id and device selection. + + Returns: + None: Caches loaded pipeline instance. + """ + if self.is_mock_mode: + self._pipeline = "mock" + self.model_manager.register_model("medasr", self._pipeline) + return + + if self._pipeline is not None: + return + + if pipeline is None: + raise ModelExecutionError("transformers is required for non-mock MedASR mode") + + device = "cuda:0" + if self.model_manager.check_gpu()["vram_total_bytes"] == 0: + device = "cpu" + + try: + self._pipeline = pipeline( + "automatic-speech-recognition", + model=self.settings.MEDASR_MODEL_ID, + device=device, + ) + except Exception as exc: + raise ModelExecutionError(f"Failed to load MedASR model: {exc}") from exc + + self.model_manager.register_model("medasr", self._pipeline) + + def transcribe(self, audio_path: str) -> Transcript: + """Transcribe audio input into a Transcript schema object. + + Args: + audio_path (str): Path to 16kHz mono audio WAV. + + Returns: + Transcript: Structured transcript result. + """ + source = Path(audio_path) + if not source.exists(): + raise ModelExecutionError(f"Audio path not found: {source}") + + if self._pipeline is None: + self.load_model() + + if self.is_mock_mode: + text = self._get_mock_text(source) + duration_s = self._duration(source) + return self._make_transcript(source, text, duration_s) + + waveform, _ = librosa.load(source, sr=16000, mono=True) + duration_s = float(librosa.get_duration(y=waveform, sr=16000)) + + try: + result = self._pipeline( + waveform, + chunk_length_s=20, + stride_length_s=(4, 2), + return_timestamps=True, + generate_kwargs={"language": "en", "task": "transcribe"}, + ) + except Exception as exc: + raise ModelExecutionError(f"MedASR inference failed: {exc}") from exc + + transcript_text = str(result.get("text", "")).strip() + return self._make_transcript(source, transcript_text, duration_s) + + def _make_transcript(self, audio_path: Path, text: str, duration_s: float) -> Transcript: + """Build a Transcript object from model output values. + + Args: + audio_path (Path): Source audio path. + text (str): Transcript text. + duration_s (float): Audio duration seconds. + + Returns: + Transcript: Pydantic transcript model. + """ + now = datetime.now(tz=timezone.utc).isoformat() + consultation_id = audio_path.stem + return Transcript( + consultation_id=consultation_id, + text=text, + duration_s=duration_s, + word_count=len(text.split()), + created_at=now, + ) + + @staticmethod + def _duration(audio_path: Path) -> float: + """Compute audio duration in seconds using librosa. + + Args: + audio_path (Path): Audio file path. + + Returns: + float: Duration in seconds. + """ + waveform, sample_rate = librosa.load(audio_path, sr=16000, mono=True) + return float(librosa.get_duration(y=waveform, sr=sample_rate)) + + @staticmethod + def _get_mock_text(audio_path: Path) -> str: + """Return ground-truth transcript for known demo files in mock mode. + + Args: + audio_path (Path): Audio file path used for lookup. + + Returns: + str: Transcript text from fixture file or fallback placeholder. + """ + transcript_map = { + "mrs_thompson": Path("data/demo/mrs_thompson_transcript.txt"), + "mr_okafor": Path("data/demo/mr_okafor_transcript.txt"), + "ms_patel": Path("data/demo/ms_patel_transcript.txt"), + } + for key, transcript_path in transcript_map.items(): + if key in audio_path.stem: + return transcript_path.read_text(encoding="utf-8").strip() + return "Mock transcript placeholder for non-demo audio input." diff --git a/backend/models/model_manager.py b/backend/models/model_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..a1eb0632fe338d64199148915031fc884475d970 --- /dev/null +++ b/backend/models/model_manager.py @@ -0,0 +1,91 @@ +"""Shared model lifecycle management utilities.""" + +from __future__ import annotations + +from typing import Any + +try: + import torch +except ModuleNotFoundError: # pragma: no cover - lightweight environments + torch = None + + +class ModelManager: + """Track loaded model objects and expose GPU/cache health helpers. + + Args: + None: Manager starts with an empty registry. + + Returns: + None: Instance stores mutable model registry state. + """ + + def __init__(self) -> None: + """Initialise model registry. + + Args: + None: No constructor parameters. + + Returns: + None: Creates an empty dictionary for loaded models. + """ + self._models: dict[str, Any] = {} + + def register_model(self, name: str, model: Any) -> None: + """Register a loaded model object under a unique name. + + Args: + name (str): Registry key for the model. + model (Any): Loaded model or pipeline object. + + Returns: + None: Updates internal model registry. + """ + self._models[name] = model + + def get_model(self, name: str) -> Any | None: + """Return a model object by name when present. + + Args: + name (str): Registry key for the model. + + Returns: + Any | None: Registered model object or None. + """ + return self._models.get(name) + + def clear_cache(self) -> None: + """Clear torch CUDA cache when GPU is available. + + Args: + None: No parameters. + + Returns: + None: Invokes CUDA cache clear side effects. + """ + if torch is not None and torch.cuda.is_available(): + torch.cuda.empty_cache() + + def check_gpu(self) -> dict[str, str | int]: + """Return GPU name and VRAM usage metrics. + + Args: + None: No parameters. + + Returns: + dict[str, str | int]: gpu_name, vram_used_bytes, vram_total_bytes. + """ + if torch is None or not torch.cuda.is_available(): + return { + "gpu_name": "cpu-mock", + "vram_used_bytes": 0, + "vram_total_bytes": 0, + } + + device_index = torch.cuda.current_device() + props = torch.cuda.get_device_properties(device_index) + return { + "gpu_name": props.name, + "vram_used_bytes": int(torch.cuda.memory_allocated(device_index)), + "vram_total_bytes": int(props.total_memory), + } diff --git a/backend/orchestrator.py b/backend/orchestrator.py new file mode 100644 index 0000000000000000000000000000000000000000..58803fbb6cc3414e2b88811cd7cbf9d3199d9951 --- /dev/null +++ b/backend/orchestrator.py @@ -0,0 +1,496 @@ +"""Pipeline orchestrator coordinating transcription, context retrieval, and prompt assembly.""" + +from __future__ import annotations + +import json +import asyncio +import time +from datetime import datetime, timezone +from pathlib import Path +from uuid import uuid4 + +try: + import torch +except ModuleNotFoundError: # pragma: no cover - mock/lightweight runtime + torch = None + + +from backend.errors import ModelExecutionError, get_component_logger +from backend.audio import validate_audio +from backend.models.doc_generator import DocumentGenerator +from backend.models.ehr_agent import EHRAgent +from backend.models.medasr import MedASRModel +from backend.schemas import ClinicalDocument, Consultation, ConsultationStatus, Patient, PatientContext, PipelineProgress, PipelineStage + +logger = get_component_logger("orchestrator") + + +class PipelineOrchestrator: + """Coordinate the consultation lifecycle across all model pipeline stages. + + Args: + medasr_model (MedASRModel | None): Optional MedASR model wrapper instance. + ehr_agent (EHRAgent | None): Optional EHR agent instance. + + Returns: + None: Initialises orchestrator state stores in memory. + """ + + def __init__( + self, + medasr_model: MedASRModel | None = None, + ehr_agent: EHRAgent | None = None, + doc_generator: DocumentGenerator | None = None, + ) -> None: + self.consultations: dict[str, Consultation] = {} + self.progress: dict[str, PipelineProgress] = {} + self._medasr_model = medasr_model or MedASRModel() + self._ehr_agent = ehr_agent or EHRAgent() + self._doc_generator = doc_generator or DocumentGenerator() + + @staticmethod + def _clear_cuda_cache() -> None: + """Release cached CUDA memory between heavy model stages when CUDA is available. + + Args: + None: Uses current torch CUDA runtime state. + + Returns: + None: Performs in-place cache cleanup only. + """ + + if torch is not None and torch.cuda.is_available(): + torch.cuda.empty_cache() + + @staticmethod + def _timestamp() -> str: + """Return current UTC timestamp string for consultation lifecycle fields. + + Args: + None: Reads current clock only. + + Returns: + str: ISO timestamp with timezone. + """ + + return datetime.now(tz=timezone.utc).isoformat() + + def start_consultation(self, patient: Patient) -> Consultation: + """Create and store a consultation in recording state. + + Args: + patient (Patient): Patient selected for this consultation. + + Returns: + Consultation: Newly created consultation object. + """ + + consultation_id = f"cons-{uuid4()}" + consultation = Consultation( + id=consultation_id, + patient=patient, + status=ConsultationStatus.RECORDING, + started_at=self._timestamp(), + ) + self.consultations[consultation_id] = consultation + self.progress[consultation_id] = PipelineProgress( + consultation_id=consultation_id, + stage=PipelineStage.RETRIEVING_CONTEXT, + progress_pct=5, + message="Consultation started. Recording in progress.", + ) + return consultation + + def prefetch_context(self, consultation_id: str) -> None: + """Preload patient context for a consultation to reduce end-stage latency. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + None: Updates consultation context cache in place. + """ + + consultation = self.get_consultation(consultation_id) + if consultation.context is not None: + return + + try: + consultation.context = self._ehr_agent.get_patient_context(consultation.patient.id) + self.progress[consultation_id] = PipelineProgress( + consultation_id=consultation_id, + stage=PipelineStage.RETRIEVING_CONTEXT, + progress_pct=25, + message="Patient context prefetched.", + ) + except Exception as exc: + logger.warning("Context prefetch failed", consultation_id=consultation_id, error=str(exc)) + + def end_consultation(self, consultation_id: str) -> Consultation: + """Finalize recording and run the staged processing pipeline. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + Consultation: Updated consultation after pipeline completion. + """ + + try: + return asyncio.run( + asyncio.wait_for( + asyncio.to_thread(self._run_pipeline, consultation_id), + timeout=float(self._doc_generator.settings.PIPELINE_TIMEOUT_S), + ) + ) + except TimeoutError: + raise + except asyncio.TimeoutError as exc: + raise TimeoutError("Pipeline timed out") from exc + + def _run_pipeline(self, consultation_id: str) -> Consultation: + """Execute all pipeline stages for an existing consultation. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + Consultation: Updated consultation after pipeline completion. + """ + + consultation = self.get_consultation(consultation_id) + if not consultation.audio_file_path: + raise ModelExecutionError("No uploaded audio available for this consultation") + + validate_audio(consultation.audio_file_path) + + total_start = time.perf_counter() + stage_start = time.perf_counter() + consultation.status = ConsultationStatus.PROCESSING + consultation.ended_at = self._timestamp() + + self.progress[consultation_id] = PipelineProgress( + consultation_id=consultation_id, + stage=PipelineStage.TRANSCRIBING, + progress_pct=33, + message="Finalising transcript...", + ) + transcript = self._medasr_model.transcribe(consultation.audio_file_path) + if not transcript.text.strip(): + raise ModelExecutionError("Audio could not be transcribed.") + consultation.transcript = transcript.model_copy(update={"consultation_id": consultation_id}) + transcribe_s = round(time.perf_counter() - stage_start, 3) + logger.info("Pipeline stage complete", consultation_id=consultation_id, stage="transcribe", duration_s=transcribe_s) + self._clear_cuda_cache() + + stage_start = time.perf_counter() + self.progress[consultation_id] = PipelineProgress( + consultation_id=consultation_id, + stage=PipelineStage.RETRIEVING_CONTEXT, + progress_pct=66, + message="Synthesising patient context...", + ) + if consultation.context is None: + try: + consultation.context = self._ehr_agent.get_patient_context(consultation.patient.id) + except Exception as exc: + warning = f"FHIR retrieval unavailable; continuing with transcript only: {exc}" + logger.warning("FHIR degradation activated", consultation_id=consultation_id, warning=warning) + consultation.context = self._build_transcript_only_context(consultation, warning) + context_s = round(time.perf_counter() - stage_start, 3) + logger.info("Pipeline stage complete", consultation_id=consultation_id, stage="retrieve_context", duration_s=context_s) + self._clear_cuda_cache() + + stage_start = time.perf_counter() + self.progress[consultation_id] = PipelineProgress( + consultation_id=consultation_id, + stage=PipelineStage.GENERATING_DOCUMENT, + progress_pct=90, + message="Combining transcript and context for document generation...", + ) + if consultation.transcript and consultation.context: + consultation.context = self._truncate_context(consultation.context) + consultation.document = self._generate_document_with_oom_retry( + consultation.transcript.text, + consultation.context, + consultation_id, + ).model_copy(update={"consultation_id": consultation_id}) + else: + raise ModelExecutionError("Transcript and patient context are required before document generation") + generate_s = round(time.perf_counter() - stage_start, 3) + logger.info("Pipeline stage complete", consultation_id=consultation_id, stage="generate_document", duration_s=generate_s) + self._clear_cuda_cache() + + consultation.pipeline_stage = PipelineStage.COMPLETE + consultation.status = ConsultationStatus.REVIEW + self.progress[consultation_id] = PipelineProgress( + consultation_id=consultation_id, + stage=PipelineStage.COMPLETE, + progress_pct=100, + message="Pipeline complete. Clinical document ready for review.", + ) + total_s = round(time.perf_counter() - total_start, 3) + logger.info( + "Pipeline completed", + consultation_id=consultation_id, + total_duration_s=total_s, + transcribe_s=transcribe_s, + context_s=context_s, + generate_s=generate_s, + ) + return consultation + + def _generate_document_with_oom_retry( + self, + transcript_text: str, + context: PatientContext, + consultation_id: str, + ) -> ClinicalDocument: + """Generate a document with one OOM recovery retry. + + Args: + transcript_text (str): Consultation transcript text. + context (PatientContext): Context payload for document generation. + consultation_id (str): Consultation identifier for logging. + + Returns: + ClinicalDocument: Generated document payload. + """ + + max_tokens = int(self._doc_generator.settings.DOC_GEN_MAX_TOKENS) + try: + return self._doc_generator.generate_document(transcript_text, context, max_new_tokens=max_tokens) + except TypeError as exc: + if "max_new_tokens" not in str(exc): + raise + logger.warning( + "Document generator does not accept max_new_tokens override; falling back to default signature", + consultation_id=consultation_id, + ) + return self._doc_generator.generate_document(transcript_text, context) + except torch.cuda.OutOfMemoryError as exc: + self._clear_cuda_cache() + reduced_tokens = max(256, max_tokens // 2) + logger.warning( + "OOM during document generation; retrying with reduced token budget", + consultation_id=consultation_id, + previous_max_new_tokens=max_tokens, + retry_max_new_tokens=reduced_tokens, + ) + return self._doc_generator.generate_document(transcript_text, context, max_new_tokens=reduced_tokens) + + def _build_transcript_only_context(self, consultation: Consultation, warning: str) -> PatientContext: + """Build minimal patient context when EHR retrieval fails. + + Args: + consultation (Consultation): Consultation containing patient demographics. + warning (str): Retrieval warning text to persist. + + Returns: + PatientContext: Transcript-only fallback context. + """ + + return PatientContext( + patient_id=consultation.patient.id, + demographics={ + "name": consultation.patient.name, + "dob": consultation.patient.date_of_birth, + "nhs_number": consultation.patient.nhs_number, + "age": consultation.patient.age, + "sex": consultation.patient.sex, + }, + problem_list=[], + medications=[], + allergies=[], + recent_labs=[], + recent_imaging=[], + clinical_flags=[], + last_letter_excerpt=None, + retrieval_warnings=[warning], + retrieved_at=self._timestamp(), + ) + + def _truncate_context(self, context: PatientContext) -> PatientContext: + """Truncate oversized context payloads to fit the max-sequence envelope. + + Args: + context (PatientContext): Structured patient context before generation. + + Returns: + PatientContext: Potentially truncated context payload. + """ + + max_tokens = int(self._doc_generator.settings.MAX_SEQ_LENGTH) + context_payload = context.model_dump(mode="json") + estimated_tokens = len(json.dumps(context_payload, ensure_ascii=False).split()) + if estimated_tokens <= max_tokens: + return context + + for list_field in ("recent_labs", "medications", "problem_list", "allergies", "recent_imaging", "clinical_flags"): + values = context_payload.get(list_field, []) + if isinstance(values, list) and len(values) > 2: + context_payload[list_field] = values[: max(2, len(values) // 2)] + estimated_tokens = len(json.dumps(context_payload, ensure_ascii=False).split()) + if estimated_tokens <= max_tokens: + break + + warnings = list(context_payload.get("retrieval_warnings", [])) + warnings.append("Context exceeded token budget and was truncated to fit generation limits.") + context_payload["retrieval_warnings"] = warnings + return PatientContext.model_validate(context_payload) + + + def update_document_sections(self, consultation_id: str, sections: list[dict[str, str]]) -> ClinicalDocument: + """Update editable document sections before sign-off. + + Args: + consultation_id (str): Consultation identifier. + sections (list[dict[str, str]]): Edited sections with heading and content keys. + + Returns: + ClinicalDocument: Updated in-memory document. + """ + + consultation = self.get_consultation(consultation_id) + if consultation.document is None: + raise ModelExecutionError("No generated document available to edit") + + existing_sections = list(consultation.document.sections) + updates_by_heading = {str(item.get("heading", "")).strip().lower(): str(item.get("content", "")) for item in sections if str(item.get("heading", "")).strip()} + + for idx, section in enumerate(existing_sections): + key = section.heading.strip().lower() + if key in updates_by_heading: + existing_sections[idx] = section.model_copy(update={"content": updates_by_heading[key]}) + + consultation.document = consultation.document.model_copy(update={"sections": existing_sections}) + return consultation.document + + def sign_off_document(self, consultation_id: str) -> ClinicalDocument: + """Mark a generated consultation document as signed off. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + ClinicalDocument: Signed-off document for the consultation. + """ + + consultation = self.get_consultation(consultation_id) + if consultation.document is None: + raise ModelExecutionError("No generated document available to sign off") + + consultation.status = ConsultationStatus.SIGNED_OFF + consultation.document = consultation.document.model_copy(update={"status": ConsultationStatus.SIGNED_OFF}) + logger.info("Document signed off", consultation_id=consultation_id) + return consultation.document + + def regenerate_document_section(self, consultation_id: str, section_heading: str) -> ClinicalDocument: + """Regenerate a single section by re-running generation and replacing matching heading content. + + Args: + consultation_id (str): Consultation identifier. + section_heading (str): Heading name for the section to regenerate. + + Returns: + ClinicalDocument: Updated clinical document with refreshed section content. + """ + + consultation = self.get_consultation(consultation_id) + if consultation.transcript is None or consultation.context is None: + raise ModelExecutionError("Transcript and context are required to regenerate a section") + if consultation.document is None: + raise ModelExecutionError("No generated document available to regenerate") + + refreshed_document = self._doc_generator.generate_document( + consultation.transcript.text, + consultation.context, + ).model_copy(update={"consultation_id": consultation_id}) + replacement_section = next( + ( + section + for section in refreshed_document.sections + if section.heading.lower() == section_heading.strip().lower() + ), + None, + ) + if replacement_section is None: + raise ModelExecutionError(f"Section not found in regenerated output: {section_heading}") + + updated_sections = [] + replaced = False + for section in consultation.document.sections: + if section.heading.lower() == section_heading.strip().lower(): + updated_sections.append(replacement_section) + replaced = True + else: + updated_sections.append(section) + + if not replaced: + raise ModelExecutionError(f"Section not found in existing document: {section_heading}") + + consultation.document = consultation.document.model_copy( + update={ + "sections": updated_sections, + "generated_at": refreshed_document.generated_at, + "generation_time_s": refreshed_document.generation_time_s, + "status": ConsultationStatus.REVIEW, + } + ) + consultation.status = ConsultationStatus.REVIEW + logger.info("Document section regenerated", consultation_id=consultation_id, section_heading=section_heading) + return consultation.document + + def _build_document_prompt_payload(self, consultation_id: str) -> str: + """Compose stage-3 prompt payload from transcript and context as JSON. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + str: Combined payload string for downstream document generation model. + """ + + consultation = self.get_consultation(consultation_id) + if consultation.transcript is None or consultation.context is None: + raise ModelExecutionError("Transcript and context are required for prompt assembly") + + payload = { + "consultation_id": consultation_id, + "transcript": consultation.transcript.text, + "context": consultation.context.model_dump(mode="json"), + } + return json.dumps(payload, ensure_ascii=False) + + def get_consultation(self, consultation_id: str) -> Consultation: + """Get a consultation by id from in-memory store. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + Consultation: Stored consultation object. + """ + + consultation = self.consultations.get(consultation_id) + if consultation is None: + raise KeyError(f"Consultation not found: {consultation_id}") + return consultation + + def get_progress(self, consultation_id: str) -> PipelineProgress: + """Get latest pipeline progress for a consultation. + + Args: + consultation_id (str): Consultation identifier. + + Returns: + PipelineProgress: Last recorded progress event. + """ + + progress = self.progress.get(consultation_id) + if progress is None: + raise KeyError(f"Progress not found for consultation: {consultation_id}") + return progress + + +PROMPTS_DIR = Path("backend/prompts") diff --git a/backend/prompts/context_synthesis.j2 b/backend/prompts/context_synthesis.j2 new file mode 100644 index 0000000000000000000000000000000000000000..48b7aa570502e4f3cbf592a86dab5a6e449c5383 --- /dev/null +++ b/backend/prompts/context_synthesis.j2 @@ -0,0 +1,38 @@ +<|system|> +You are a clinical EHR navigation agent. Your task is to retrieve and synthesise a patient's medical context from FHIR resources to support clinical documentation. + +Given a patient ID, use the available FHIR tools to retrieve: +1. Demographics (Patient resource) +2. Active conditions/diagnoses (Condition resources) +3. Current medications (MedicationRequest resources) +4. Allergies (AllergyIntolerance resources) +5. Recent laboratory results — last 6 months (Observation resources, category=laboratory) +6. Recent imaging reports (DiagnosticReport resources) + +After retrieval, synthesise the data into the following JSON structure ONLY. Do not include any explanation, commentary, or markdown formatting. Output ONLY valid JSON: + +{ + "patient_id": "...", + "demographics": {...}, + "problem_list": ["..."], + "medications": [{...}], + "allergies": [{...}], + "recent_labs": [{...}], + "recent_imaging": [{...}], + "clinical_flags": ["..."], + "last_letter_excerpt": "...", + "retrieval_warnings": [], + "retrieved_at": "..." +} +<|end|> + +<|user|> +PATIENT ID: {{ patient_id }} + +RAW FHIR DATA: +{{ raw_fhir_data }} + +Synthesise the patient context now. +<|end|> + +<|assistant|> diff --git a/backend/prompts/document_generation.j2 b/backend/prompts/document_generation.j2 new file mode 100644 index 0000000000000000000000000000000000000000..0a66066a6e18b9608e25244c0cbaffd346d81e37 --- /dev/null +++ b/backend/prompts/document_generation.j2 @@ -0,0 +1,60 @@ +<|system|> +You are an NHS clinical documentation assistant. Generate a structured NHS outpatient clinic letter from the consultation transcript and patient context provided below. + +STRICT OUTPUT FORMAT (follow exactly) +- Date: {{ letter_date }} +- Addressee: GP name and practice address from the patient record +- Re: Full patient name, DOB, NHS number +- Salutation: Dear Dr [GP surname], +- Body sections in this exact order: + 1) History of presenting complaint + 2) Examination findings + 3) Investigation results + 4) Assessment and plan + 5) Current medications +- Sign-off line: Warm regards, + {{ clinician_name }} + {{ clinician_title }} + +STYLE AND SAFETY RULES +1. Use formal British medical English, third person, past tense. +2. Include both positive and negative findings from the consultation. +3. Keep length between 300 and 500 words. +4. Use ONLY facts from transcript + patient context. +5. Use EXACT numeric values from patient context (no rounding, no unit changes, no fabrication). +6. If the transcript states a value that differs from EHR context, include the EHR value and mark the mismatch as [DISCREPANCY]. +7. Do not add bullet points unless the source explicitly lists items. +8. If a section has no discussed information, write a short factual sentence stating this. + +NEGATIVE EXAMPLES (DO NOT DO THESE) +- Do NOT invent examination findings that were not discussed. +- Do NOT replace exact values (e.g., "55 mmol/mol") with vague language (e.g., "raised"). +- Do NOT use US spelling (e.g., "anemia", "behavior"). +- Do NOT omit safety-critical negatives that were explicitly denied. + +MICRO-EXEMPLAR OF EXPECTED REGISTER +Date: 13 Feb 2026 +Re: Mary Thompson, DOB 12/04/1964, NHS No. 943 476 5919 +Dear Dr Ahmed, +History of presenting complaint +Mrs Thompson reported persistent fatigue and polydipsia over the preceding three months. +Investigation results +Latest blood tests showed HbA1c 55 mmol/mol and eGFR 52 mL/min/1.73m². +Assessment and plan +The impression was suboptimal glycaemic control; metformin was continued and repeat bloods were arranged in three months. +Warm regards, +Dr Sarah Chen +Consultant Diabetologist +<|end|> + +<|user|> +## CONSULTATION TRANSCRIPT +{{ transcript }} + +## PATIENT CONTEXT (from Electronic Health Record) +{{ context_json }} + +Generate the NHS clinic letter now. +<|end|> + +<|assistant|> diff --git a/backend/prompts/ehr_agent_system.txt b/backend/prompts/ehr_agent_system.txt new file mode 100644 index 0000000000000000000000000000000000000000..81d48a050dbdbd9db6650bdecb11d10e2582e709 --- /dev/null +++ b/backend/prompts/ehr_agent_system.txt @@ -0,0 +1,25 @@ +You are a clinical EHR navigation agent. Your task is to retrieve and synthesise a patient's medical context from FHIR resources to support clinical documentation. + +Given a patient ID, use the available FHIR tools to retrieve: +1. Demographics (Patient resource) +2. Active conditions/diagnoses (Condition resources) +3. Current medications (MedicationRequest resources) +4. Allergies (AllergyIntolerance resources) +5. Recent laboratory results — last 6 months (Observation resources, category=laboratory) +6. Recent imaging reports (DiagnosticReport resources) + +After retrieval, synthesise the data into the following JSON structure ONLY. Do not include any explanation, commentary, or markdown formatting. Output ONLY valid JSON: + +{ + "patient_id": "...", + "demographics": {...}, + "problem_list": ["..."], + "medications": [{...}], + "allergies": [{...}], + "recent_labs": [{...}], + "recent_imaging": [{...}], + "clinical_flags": ["..."], + "last_letter_excerpt": "...", + "retrieval_warnings": [], + "retrieved_at": "..." +} diff --git a/backend/schemas.py b/backend/schemas.py new file mode 100644 index 0000000000000000000000000000000000000000..9155d55163cd17d5d58b9638e436870d1434f4b1 --- /dev/null +++ b/backend/schemas.py @@ -0,0 +1,149 @@ +"""Clarke data models — Pydantic v2 schemas for all system objects.""" + +from __future__ import annotations + +from datetime import datetime +from enum import Enum +from typing import Optional + +from pydantic import BaseModel, Field + + +class ConsultationStatus(str, Enum): + """Status lifecycle for a consultation session.""" + + IDLE = "idle" + RECORDING = "recording" + PAUSED = "paused" + PROCESSING = "processing" + REVIEW = "review" + SIGNED_OFF = "signed_off" + + +class PipelineStage(str, Enum): + """Discrete execution stages for the consultation pipeline.""" + + TRANSCRIBING = "transcribing" + RETRIEVING_CONTEXT = "retrieving_context" + GENERATING_DOCUMENT = "generating_document" + COMPLETE = "complete" + FAILED = "failed" + + +class Patient(BaseModel): + """A patient in the clinic list.""" + + id: str = Field(description="FHIR Patient resource ID") + nhs_number: str = Field(description="NHS number (format: XXX XXX XXXX)") + name: str = Field(description="Full name (e.g., 'Mrs. Margaret Thompson')") + date_of_birth: str = Field(description="DOB in DD/MM/YYYY format") + age: int + sex: str = Field(description="'Male' or 'Female'") + appointment_time: str = Field(description="HH:MM format") + summary: str = Field(description="One-line clinical summary for dashboard card") + + +class LabResult(BaseModel): + """A single laboratory result with trend.""" + + name: str = Field(description="e.g., 'HbA1c'") + value: str = Field(description="e.g., '55'") + unit: str = Field(description="e.g., 'mmol/mol'") + reference_range: Optional[str] = Field(default=None, description="e.g., '20-42'") + date: str = Field(description="ISO date of result") + trend: Optional[str] = Field(default=None, description="'rising', 'falling', 'stable', or None") + previous_value: Optional[str] = Field(default=None, description="Previous result value") + previous_date: Optional[str] = Field(default=None) + fhir_resource_id: Optional[str] = Field(default=None, description="Source FHIR Observation ID") + + +class PatientContext(BaseModel): + """Structured patient context synthesised by the EHR Agent from FHIR data.""" + + patient_id: str + demographics: dict = Field(description="name, dob, nhs_number, age, sex, address") + problem_list: list[str] = Field(description="Active diagnoses, e.g., ['Type 2 Diabetes Mellitus (2019)', ...]") + medications: list[dict] = Field( + description="[{'name': 'Metformin', 'dose': '1g', 'frequency': 'BD', 'fhir_id': '...'}]" + ) + allergies: list[dict] = Field( + description="[{'substance': 'Penicillin', 'reaction': 'Anaphylaxis', 'severity': 'high'}]" + ) + recent_labs: list[LabResult] = Field(default_factory=list) + recent_imaging: list[dict] = Field(default_factory=list, description="[{'type': 'CXR', 'date': '...', 'summary': '...'}]") + clinical_flags: list[str] = Field(default_factory=list, description="['HbA1c rising trend over 6 months']") + last_letter_excerpt: Optional[str] = Field(default=None, description="Key excerpt from most recent clinic letter") + retrieval_warnings: list[str] = Field(default_factory=list, description="Warnings if some FHIR queries failed") + retrieved_at: str = Field(description="ISO timestamp of retrieval") + + +class Transcript(BaseModel): + """Consultation transcript produced by MedASR.""" + + consultation_id: str + text: str = Field(description="Full transcript text") + duration_s: float = Field(description="Audio duration in seconds") + word_count: int + created_at: str + + +class DocumentSection(BaseModel): + """A single section of the generated clinical letter.""" + + heading: str = Field(description="e.g., 'History of presenting complaint'") + content: str = Field(description="Section body text") + editable: bool = Field(default=True) + fhir_sources: list[str] = Field(default_factory=list, description="FHIR resource IDs cited in this section") + + +class ClinicalDocument(BaseModel): + """A generated NHS clinical letter.""" + + consultation_id: str + letter_date: str + patient_name: str + patient_dob: str + nhs_number: str + addressee: str = Field(description="GP name and address") + salutation: str = Field(description="e.g., 'Dear Dr. Patel,'") + sections: list[DocumentSection] + medications_list: list[str] = Field(description="Current medications (formatted)") + sign_off: str = Field(description="e.g., 'Dr. S. Chen, Consultant Diabetologist'") + status: ConsultationStatus = ConsultationStatus.REVIEW + generated_at: str + generation_time_s: float = Field(description="Time taken for MedGemma 27B inference") + discrepancies: list[dict] = Field(default_factory=list, description="[{'type': 'allergy_mismatch', 'detail': '...'}]") + + +class Consultation(BaseModel): + """A complete consultation session — links patient, transcript, context, and document.""" + + id: str = Field(description="Unique consultation ID (UUID)") + patient: Patient + status: ConsultationStatus = ConsultationStatus.IDLE + pipeline_stage: Optional[PipelineStage] = None + context: Optional[PatientContext] = None + transcript: Optional[Transcript] = None + document: Optional[ClinicalDocument] = None + started_at: Optional[str] = None + ended_at: Optional[str] = None + audio_file_path: Optional[str] = None + + +class PipelineProgress(BaseModel): + """Real-time pipeline progress updates pushed to the UI.""" + + consultation_id: str + stage: PipelineStage + progress_pct: int = Field(ge=0, le=100) + message: str = Field(description="Human-readable status, e.g., 'Finalising transcript...'") + + +class ErrorResponse(BaseModel): + """Standardised error response format.""" + + error: str = Field(description="Error category: 'model_error', 'fhir_error', 'audio_error', 'timeout'") + message: str = Field(description="Human-readable error message for UI display") + detail: Optional[str] = Field(default=None, description="Technical detail (logged, not shown to user)") + consultation_id: Optional[str] = None + timestamp: str diff --git a/backend/utils.py b/backend/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..aed113e78bd63e24349c39533a0a5e81546d4e54 --- /dev/null +++ b/backend/utils.py @@ -0,0 +1,78 @@ +"""Shared utility helpers used across backend modules.""" + +from __future__ import annotations + +import json +import time +from collections.abc import Callable +from functools import wraps +from typing import Any + +from backend.errors import get_component_logger + + +def timed(component: str) -> Callable: + """Measure function runtime and log duration with structured metadata. + + Params: + component (str): Component name used in structured logs. + Returns: + Callable: Decorator wrapping the target callable. + """ + + log = get_component_logger(component) + + def decorator(func: Callable) -> Callable: + """Wrap a function with timing instrumentation. + + Params: + func (Callable): Function to time. + Returns: + Callable: Timed wrapper preserving function signature metadata. + """ + + @wraps(func) + def wrapper(*args: Any, **kwargs: Any) -> Any: + """Execute wrapped function and emit success/failure timing logs. + + Params: + *args (Any): Positional arguments passed to wrapped function. + **kwargs (Any): Keyword arguments passed to wrapped function. + Returns: + Any: Original function return value. + """ + + start_time = time.perf_counter() + try: + result = func(*args, **kwargs) + duration_s = time.perf_counter() - start_time + log.info( + "Function execution complete", + function_name=func.__name__, + duration_s=round(duration_s, 4), + ) + return result + except Exception: + duration_s = time.perf_counter() - start_time + log.exception( + "Function execution failed", + function_name=func.__name__, + duration_s=round(duration_s, 4), + ) + raise + + return wrapper + + return decorator + + +def sanitize_json_payload(payload: Any) -> Any: + """Return a JSON-serialisable deep copy of an arbitrary payload. + + Params: + payload (Any): Input object that should be JSON serialisable. + Returns: + Any: Normalised payload safe for JSON transport/storage. + """ + + return json.loads(json.dumps(payload, default=str)) diff --git a/clarke/.env.template b/clarke/.env.template new file mode 100644 index 0000000000000000000000000000000000000000..dcf2c804da5e19d617a03a6c68aa128d1d1f89a0 --- /dev/null +++ b/clarke/.env.template @@ -0,0 +1 @@ +# Placeholder diff --git a/clarke/Dockerfile b/clarke/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..dcf2c804da5e19d617a03a6c68aa128d1d1f89a0 --- /dev/null +++ b/clarke/Dockerfile @@ -0,0 +1 @@ +# Placeholder diff --git a/clarke/LICENSE b/clarke/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..dcf2c804da5e19d617a03a6c68aa128d1d1f89a0 --- /dev/null +++ b/clarke/LICENSE @@ -0,0 +1 @@ +# Placeholder diff --git a/clarke/README.md b/clarke/README.md new file mode 100644 index 0000000000000000000000000000000000000000..dcf2c804da5e19d617a03a6c68aa128d1d1f89a0 --- /dev/null +++ b/clarke/README.md @@ -0,0 +1 @@ +# Placeholder diff --git a/clarke/app.py b/clarke/app.py new file mode 100644 index 0000000000000000000000000000000000000000..3ea5bc66da654d728805bd1b32be0f34e7bd0c1d --- /dev/null +++ b/clarke/app.py @@ -0,0 +1 @@ +"""Legacy placeholder module for the nested `clarke` package app entrypoint.""" diff --git a/clarke/backend/__init__.py b/clarke/backend/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4c66197045c6e35ed98aff6b2a2d011e5d88e5a8 --- /dev/null +++ b/clarke/backend/__init__.py @@ -0,0 +1 @@ +"""Package initializer.""" diff --git a/clarke/backend/api.py b/clarke/backend/api.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/api.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/audio.py b/clarke/backend/audio.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/audio.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/config.py b/clarke/backend/config.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/config.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/errors.py b/clarke/backend/errors.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/errors.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/fhir/__init__.py b/clarke/backend/fhir/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4c66197045c6e35ed98aff6b2a2d011e5d88e5a8 --- /dev/null +++ b/clarke/backend/fhir/__init__.py @@ -0,0 +1 @@ +"""Package initializer.""" diff --git a/clarke/backend/fhir/client.py b/clarke/backend/fhir/client.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/fhir/client.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/fhir/mock_api.py b/clarke/backend/fhir/mock_api.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/fhir/mock_api.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/fhir/queries.py b/clarke/backend/fhir/queries.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/fhir/queries.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/fhir/tools.py b/clarke/backend/fhir/tools.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/fhir/tools.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/models/__init__.py b/clarke/backend/models/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4c66197045c6e35ed98aff6b2a2d011e5d88e5a8 --- /dev/null +++ b/clarke/backend/models/__init__.py @@ -0,0 +1 @@ +"""Package initializer.""" diff --git a/clarke/backend/models/doc_generator.py b/clarke/backend/models/doc_generator.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/models/doc_generator.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/models/ehr_agent.py b/clarke/backend/models/ehr_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/models/ehr_agent.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/models/medasr.py b/clarke/backend/models/medasr.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/models/medasr.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/models/model_manager.py b/clarke/backend/models/model_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/models/model_manager.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/orchestrator.py b/clarke/backend/orchestrator.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/orchestrator.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/prompts/context_synthesis.j2 b/clarke/backend/prompts/context_synthesis.j2 new file mode 100644 index 0000000000000000000000000000000000000000..7ac58f2e83bb330d23babb5c10ed5a0d2b923755 --- /dev/null +++ b/clarke/backend/prompts/context_synthesis.j2 @@ -0,0 +1 @@ +{# Placeholder template #} diff --git a/clarke/backend/prompts/document_generation.j2 b/clarke/backend/prompts/document_generation.j2 new file mode 100644 index 0000000000000000000000000000000000000000..7ac58f2e83bb330d23babb5c10ed5a0d2b923755 --- /dev/null +++ b/clarke/backend/prompts/document_generation.j2 @@ -0,0 +1 @@ +{# Placeholder template #} diff --git a/clarke/backend/prompts/ehr_agent_system.txt b/clarke/backend/prompts/ehr_agent_system.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5f516ac91b66cf6a1218d10b6f7c5cdf125d606 --- /dev/null +++ b/clarke/backend/prompts/ehr_agent_system.txt @@ -0,0 +1 @@ +Placeholder system prompt. diff --git a/clarke/backend/schemas.py b/clarke/backend/schemas.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/schemas.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/backend/utils.py b/clarke/backend/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/backend/utils.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/data/clinic_list.json b/clarke/data/clinic_list.json new file mode 100644 index 0000000000000000000000000000000000000000..fe51488c7066f6687ef680d6bfaa4f7768ef205c --- /dev/null +++ b/clarke/data/clinic_list.json @@ -0,0 +1 @@ +[] diff --git a/clarke/data/demo/mr_okafor_transcript.txt b/clarke/data/demo/mr_okafor_transcript.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7b3726e6422a05e9ce12686da9f59e93760a553 --- /dev/null +++ b/clarke/data/demo/mr_okafor_transcript.txt @@ -0,0 +1 @@ +Placeholder transcript. diff --git a/clarke/data/demo/mrs_thompson_transcript.txt b/clarke/data/demo/mrs_thompson_transcript.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7b3726e6422a05e9ce12686da9f59e93760a553 --- /dev/null +++ b/clarke/data/demo/mrs_thompson_transcript.txt @@ -0,0 +1 @@ +Placeholder transcript. diff --git a/clarke/data/demo/ms_patel_transcript.txt b/clarke/data/demo/ms_patel_transcript.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7b3726e6422a05e9ce12686da9f59e93760a553 --- /dev/null +++ b/clarke/data/demo/ms_patel_transcript.txt @@ -0,0 +1 @@ +Placeholder transcript. diff --git a/clarke/data/fhir_bundles/.keep.json b/clarke/data/fhir_bundles/.keep.json new file mode 100644 index 0000000000000000000000000000000000000000..0967ef424bce6791893e9a57bb952f80fd536e93 --- /dev/null +++ b/clarke/data/fhir_bundles/.keep.json @@ -0,0 +1 @@ +{} diff --git a/clarke/data/synthea/generate.sh b/clarke/data/synthea/generate.sh new file mode 100755 index 0000000000000000000000000000000000000000..c6369ffd80e7383ff6be185e65909dc6bdfd9164 --- /dev/null +++ b/clarke/data/synthea/generate.sh @@ -0,0 +1,2 @@ +#!/bin/bash +# Placeholder script diff --git a/clarke/data/synthea/uk_config/.keep b/clarke/data/synthea/uk_config/.keep new file mode 100644 index 0000000000000000000000000000000000000000..dcf2c804da5e19d617a03a6c68aa128d1d1f89a0 --- /dev/null +++ b/clarke/data/synthea/uk_config/.keep @@ -0,0 +1 @@ +# Placeholder diff --git a/clarke/data/training/test.jsonl b/clarke/data/training/test.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f467588a83d651a0d20257335370662954b6fe6d --- /dev/null +++ b/clarke/data/training/test.jsonl @@ -0,0 +1,50 @@ +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 90.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0201", "demographics": {"name": "Patient 201", "dob": "1973-02-27", "nhs_number": "397 143 5712", "age": 53, "sex": "Male", "address": "20 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0201"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "90.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-18", "trend": "falling", "previous_value": "95.8", "previous_date": "2025-11-04", "fhir_resource_id": "obs-0201"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 201 (1973-02-27), NHS 397 143 5712\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 90.9 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 23.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0202", "demographics": {"name": "Patient 202", "dob": "1951-03-05", "nhs_number": "377 675 5450", "age": 75, "sex": "Male", "address": "27 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0202"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "23.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-03", "trend": "falling", "previous_value": "29.1", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0202"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 202 (1951-03-05), NHS 377 675 5450\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 23.9 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 62.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0203", "demographics": {"name": "Patient 203", "dob": "1995-02-22", "nhs_number": "523 438 8739", "age": 31, "sex": "Female", "address": "22 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0203"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "62.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "rising", "previous_value": "55.0", "previous_date": "2025-12-30", "fhir_resource_id": "obs-0203"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 203 (1995-02-22), NHS 523 438 8739\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 62.2 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 47.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0204", "demographics": {"name": "Patient 204", "dob": "1972-02-28", "nhs_number": "394 428 5676", "age": 54, "sex": "Male", "address": "92 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0204"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "47.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-06", "trend": "rising", "previous_value": "42.9", "previous_date": "2025-12-19", "fhir_resource_id": "obs-0204"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 204 (1972-02-28), NHS 394 428 5676\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 47.7 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 87.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0205", "demographics": {"name": "Patient 205", "dob": "1964-03-01", "nhs_number": "957 280 1595", "age": 62, "sex": "Female", "address": "60 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0205"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "87.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "rising", "previous_value": "81.9", "previous_date": "2025-12-07", "fhir_resource_id": "obs-0205"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 205 (1964-03-01), NHS 957 280 1595\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 87.1 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 31.5 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0206", "demographics": {"name": "Patient 206", "dob": "1996-02-22", "nhs_number": "443 391 8444", "age": 30, "sex": "Female", "address": "92 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0206"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "31.5", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "33.1", "previous_date": "2025-10-24", "fhir_resource_id": "obs-0206"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 206 (1996-02-22), NHS 443 391 8444\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 31.5 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 29.2 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0207", "demographics": {"name": "Patient 207", "dob": "1990-02-23", "nhs_number": "438 266 8518", "age": 36, "sex": "Male", "address": "92 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0207"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "29.2", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "falling", "previous_value": "34.1", "previous_date": "2025-12-07", "fhir_resource_id": "obs-0207"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 207 (1990-02-23), NHS 438 266 8518\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 29.2 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 76.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0208", "demographics": {"name": "Patient 208", "dob": "1951-03-05", "nhs_number": "875 297 3875", "age": 75, "sex": "Male", "address": "88 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0208"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "76.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2025-12-31", "trend": "falling", "previous_value": "77.2", "previous_date": "2025-11-09", "fhir_resource_id": "obs-0208"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 208 (1951-03-05), NHS 875 297 3875\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 76.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 12.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0209", "demographics": {"name": "Patient 209", "dob": "1966-03-01", "nhs_number": "289 243 8822", "age": 60, "sex": "Male", "address": "51 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0209"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "12.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-25", "trend": "falling", "previous_value": "15.0", "previous_date": "2025-12-30", "fhir_resource_id": "obs-0209"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 209 (1966-03-01), NHS 289 243 8822\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 12.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 44.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0210", "demographics": {"name": "Patient 210", "dob": "1974-02-27", "nhs_number": "437 409 1187", "age": 52, "sex": "Female", "address": "43 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0210"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "44.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-17", "trend": "rising", "previous_value": "41.2", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0210"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 210 (1974-02-27), NHS 437 409 1187\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 44.9 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 46.6 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0211", "demographics": {"name": "Patient 211", "dob": "1956-03-03", "nhs_number": "802 614 6095", "age": 70, "sex": "Female", "address": "98 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0211"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "46.6", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "41.2", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0211"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 211 (1956-03-03), NHS 802 614 6095\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 46.6 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 24.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0212", "demographics": {"name": "Patient 212", "dob": "1959-03-03", "nhs_number": "256 565 7121", "age": 67, "sex": "Female", "address": "63 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0212"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "24.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "18.4", "previous_date": "2025-10-31", "fhir_resource_id": "obs-0212"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 212 (1959-03-03), NHS 256 565 7121\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 24.3 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 66.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0213", "demographics": {"name": "Patient 213", "dob": "1950-03-05", "nhs_number": "906 183 9609", "age": 76, "sex": "Female", "address": "67 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0213"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "66.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "falling", "previous_value": "67.6", "previous_date": "2025-11-14", "fhir_resource_id": "obs-0213"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 213 (1950-03-05), NHS 906 183 9609\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 66.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 10.1 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0214", "demographics": {"name": "Patient 214", "dob": "1962-03-02", "nhs_number": "617 307 9792", "age": 64, "sex": "Female", "address": "29 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0214"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "10.1", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "falling", "previous_value": "10.9", "previous_date": "2025-11-19", "fhir_resource_id": "obs-0214"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 214 (1962-03-02), NHS 617 307 9792\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 10.1 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 69.4 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0215", "demographics": {"name": "Patient 215", "dob": "1991-02-23", "nhs_number": "622 556 1911", "age": 35, "sex": "Female", "address": "68 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0215"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "69.4", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "rising", "previous_value": "69.2", "previous_date": "2025-10-26", "fhir_resource_id": "obs-0215"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 215 (1991-02-23), NHS 622 556 1911\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 69.4 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 55.1 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0216", "demographics": {"name": "Patient 216", "dob": "1969-02-28", "nhs_number": "415 840 1356", "age": 57, "sex": "Female", "address": "60 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0216"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "55.1", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "falling", "previous_value": "57.9", "previous_date": "2025-12-30", "fhir_resource_id": "obs-0216"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 216 (1969-02-28), NHS 415 840 1356\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 55.1 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 8.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0217", "demographics": {"name": "Patient 217", "dob": "1961-03-02", "nhs_number": "165 654 1987", "age": 65, "sex": "Female", "address": "18 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0217"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "8.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-10", "trend": "rising", "previous_value": "6.1", "previous_date": "2025-12-26", "fhir_resource_id": "obs-0217"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 217 (1961-03-02), NHS 165 654 1987\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 8.6 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 74.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0218", "demographics": {"name": "Patient 218", "dob": "1972-02-28", "nhs_number": "846 761 7887", "age": 54, "sex": "Female", "address": "57 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0218"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "74.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "falling", "previous_value": "78.4", "previous_date": "2025-11-03", "fhir_resource_id": "obs-0218"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 218 (1972-02-28), NHS 846 761 7887\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 74.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 66.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0219", "demographics": {"name": "Patient 219", "dob": "1974-02-27", "nhs_number": "652 236 6697", "age": 52, "sex": "Female", "address": "25 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0219"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "66.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-29", "trend": "falling", "previous_value": "68.9", "previous_date": "2025-10-23", "fhir_resource_id": "obs-0219"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 219 (1974-02-27), NHS 652 236 6697\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 66.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 70.4 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0220", "demographics": {"name": "Patient 220", "dob": "1965-03-01", "nhs_number": "103 874 1372", "age": 61, "sex": "Female", "address": "48 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0220"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "70.4", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "66.0", "previous_date": "2025-10-22", "fhir_resource_id": "obs-0220"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 220 (1965-03-01), NHS 103 874 1372\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 70.4 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 79.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0221", "demographics": {"name": "Patient 221", "dob": "1964-03-01", "nhs_number": "454 258 5516", "age": 62, "sex": "Male", "address": "34 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0221"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "79.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "75.0", "previous_date": "2025-12-26", "fhir_resource_id": "obs-0221"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 221 (1964-03-01), NHS 454 258 5516\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 79.0 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 26.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0222", "demographics": {"name": "Patient 222", "dob": "1959-03-03", "nhs_number": "708 134 8314", "age": 67, "sex": "Female", "address": "86 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0222"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "26.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-06", "trend": "rising", "previous_value": "19.4", "previous_date": "2025-11-29", "fhir_resource_id": "obs-0222"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 222 (1959-03-03), NHS 708 134 8314\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 26.3 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 25.7 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0223", "demographics": {"name": "Patient 223", "dob": "1973-02-27", "nhs_number": "984 894 1924", "age": 53, "sex": "Male", "address": "27 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0223"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "25.7", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "rising", "previous_value": "21.2", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0223"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 223 (1973-02-27), NHS 984 894 1924\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 25.7 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 56.8 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0224", "demographics": {"name": "Patient 224", "dob": "1946-03-06", "nhs_number": "938 428 4881", "age": 80, "sex": "Male", "address": "48 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0224"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "56.8", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "falling", "previous_value": "61.2", "previous_date": "2025-10-25", "fhir_resource_id": "obs-0224"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 224 (1946-03-06), NHS 938 428 4881\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 56.8 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 29.4 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0225", "demographics": {"name": "Patient 225", "dob": "1972-02-28", "nhs_number": "705 852 3869", "age": 54, "sex": "Male", "address": "90 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0225"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "29.4", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "falling", "previous_value": "30.3", "previous_date": "2025-10-20", "fhir_resource_id": "obs-0225"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 225 (1972-02-28), NHS 705 852 3869\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 29.4 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 89.7 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0226", "demographics": {"name": "Patient 226", "dob": "1995-02-22", "nhs_number": "904 637 6222", "age": 31, "sex": "Male", "address": "99 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0226"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "89.7", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-14", "trend": "falling", "previous_value": "92.4", "previous_date": "2025-11-08", "fhir_resource_id": "obs-0226"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 226 (1995-02-22), NHS 904 637 6222\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 89.7 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 21.1 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0227", "demographics": {"name": "Patient 227", "dob": "1979-02-26", "nhs_number": "346 969 4692", "age": 47, "sex": "Male", "address": "48 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0227"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "21.1", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "falling", "previous_value": "21.7", "previous_date": "2025-11-01", "fhir_resource_id": "obs-0227"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 227 (1979-02-26), NHS 346 969 4692\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 21.1 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 92.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0228", "demographics": {"name": "Patient 228", "dob": "1963-03-02", "nhs_number": "237 497 4978", "age": 63, "sex": "Male", "address": "42 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0228"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "92.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "falling", "previous_value": "93.0", "previous_date": "2025-11-18", "fhir_resource_id": "obs-0228"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 228 (1963-03-02), NHS 237 497 4978\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 92.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 12.9 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0229", "demographics": {"name": "Patient 229", "dob": "1970-02-28", "nhs_number": "295 152 5398", "age": 56, "sex": "Male", "address": "58 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0229"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "12.9", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "falling", "previous_value": "16.5", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0229"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 229 (1970-02-28), NHS 295 152 5398\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 12.9 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 47.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0230", "demographics": {"name": "Patient 230", "dob": "1986-02-24", "nhs_number": "440 410 1251", "age": 40, "sex": "Female", "address": "37 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0230"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "47.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-28", "trend": "falling", "previous_value": "53.8", "previous_date": "2025-12-15", "fhir_resource_id": "obs-0230"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 230 (1986-02-24), NHS 440 410 1251\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 47.9 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 40.4 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0231", "demographics": {"name": "Patient 231", "dob": "1983-02-25", "nhs_number": "429 894 5637", "age": 43, "sex": "Female", "address": "58 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0231"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "40.4", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "36.2", "previous_date": "2025-10-23", "fhir_resource_id": "obs-0231"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 231 (1983-02-25), NHS 429 894 5637\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 40.4 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 37.0 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0232", "demographics": {"name": "Patient 232", "dob": "1979-02-26", "nhs_number": "577 200 8692", "age": 47, "sex": "Male", "address": "50 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0232"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "37.0", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "falling", "previous_value": "43.1", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0232"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 232 (1979-02-26), NHS 577 200 8692\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 37.0 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 55.4 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0233", "demographics": {"name": "Patient 233", "dob": "1972-02-28", "nhs_number": "249 116 5272", "age": 54, "sex": "Female", "address": "80 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0233"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "55.4", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-03", "trend": "rising", "previous_value": "50.9", "previous_date": "2025-10-17", "fhir_resource_id": "obs-0233"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 233 (1972-02-28), NHS 249 116 5272\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 55.4 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 22.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0234", "demographics": {"name": "Patient 234", "dob": "1980-02-26", "nhs_number": "683 953 5026", "age": 46, "sex": "Female", "address": "73 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0234"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "22.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "18.0", "previous_date": "2025-11-17", "fhir_resource_id": "obs-0234"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 234 (1980-02-26), NHS 683 953 5026\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 22.3 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 92.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0235", "demographics": {"name": "Patient 235", "dob": "1950-03-05", "nhs_number": "602 571 3756", "age": 76, "sex": "Male", "address": "55 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0235"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "92.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "falling", "previous_value": "94.3", "previous_date": "2025-12-13", "fhir_resource_id": "obs-0235"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 235 (1950-03-05), NHS 602 571 3756\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 92.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 51.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0236", "demographics": {"name": "Patient 236", "dob": "1987-02-24", "nhs_number": "176 937 1794", "age": 39, "sex": "Female", "address": "10 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0236"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "51.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-14", "trend": "falling", "previous_value": "57.3", "previous_date": "2025-12-13", "fhir_resource_id": "obs-0236"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 236 (1987-02-24), NHS 176 937 1794\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 51.9 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 5.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0237", "demographics": {"name": "Patient 237", "dob": "1994-02-22", "nhs_number": "482 161 8916", "age": 32, "sex": "Female", "address": "94 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0237"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "5.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "falling", "previous_value": "5.4", "previous_date": "2025-12-28", "fhir_resource_id": "obs-0237"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 237 (1994-02-22), NHS 482 161 8916\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 5.3 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 5.6 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0238", "demographics": {"name": "Patient 238", "dob": "1964-03-01", "nhs_number": "381 648 5697", "age": 62, "sex": "Male", "address": "12 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0238"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "5.6", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "falling", "previous_value": "6.1", "previous_date": "2025-11-05", "fhir_resource_id": "obs-0238"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 238 (1964-03-01), NHS 381 648 5697\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 5.6 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 52.0 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0239", "demographics": {"name": "Patient 239", "dob": "1992-02-23", "nhs_number": "734 639 5135", "age": 34, "sex": "Female", "address": "55 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0239"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "52.0", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-23", "trend": "rising", "previous_value": "47.9", "previous_date": "2025-11-10", "fhir_resource_id": "obs-0239"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 239 (1992-02-23), NHS 734 639 5135\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 52.0 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 46.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0240", "demographics": {"name": "Patient 240", "dob": "1975-02-27", "nhs_number": "813 331 5914", "age": 51, "sex": "Male", "address": "97 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0240"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "46.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "rising", "previous_value": "41.9", "previous_date": "2025-12-26", "fhir_resource_id": "obs-0240"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 240 (1975-02-27), NHS 813 331 5914\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 46.0 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 38.6 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0241", "demographics": {"name": "Patient 241", "dob": "1973-02-27", "nhs_number": "752 109 3807", "age": 53, "sex": "Male", "address": "20 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0241"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "38.6", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "rising", "previous_value": "38.2", "previous_date": "2025-11-05", "fhir_resource_id": "obs-0241"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 241 (1973-02-27), NHS 752 109 3807\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 38.6 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 85.5 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0242", "demographics": {"name": "Patient 242", "dob": "1962-03-02", "nhs_number": "335 316 8790", "age": 64, "sex": "Female", "address": "44 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0242"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "85.5", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-07", "trend": "falling", "previous_value": "92.2", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0242"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 242 (1962-03-02), NHS 335 316 8790\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 85.5 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 20.7 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0243", "demographics": {"name": "Patient 243", "dob": "1964-03-01", "nhs_number": "116 312 3362", "age": 62, "sex": "Female", "address": "60 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0243"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "20.7", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-05", "trend": "falling", "previous_value": "26.3", "previous_date": "2025-11-22", "fhir_resource_id": "obs-0243"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 243 (1964-03-01), NHS 116 312 3362\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 20.7 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 55.8 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0244", "demographics": {"name": "Patient 244", "dob": "1962-03-02", "nhs_number": "793 653 6435", "age": 64, "sex": "Female", "address": "59 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0244"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "55.8", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "falling", "previous_value": "61.4", "previous_date": "2025-12-20", "fhir_resource_id": "obs-0244"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 244 (1962-03-02), NHS 793 653 6435\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 55.8 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 44.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0245", "demographics": {"name": "Patient 245", "dob": "1995-02-22", "nhs_number": "448 719 7499", "age": 31, "sex": "Female", "address": "51 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0245"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "44.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-08", "trend": "falling", "previous_value": "49.5", "previous_date": "2025-11-26", "fhir_resource_id": "obs-0245"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 245 (1995-02-22), NHS 448 719 7499\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 44.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 36.7 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0246", "demographics": {"name": "Patient 246", "dob": "1967-03-01", "nhs_number": "542 290 7227", "age": 59, "sex": "Female", "address": "20 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0246"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "36.7", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-01", "trend": "falling", "previous_value": "43.8", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0246"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 246 (1967-03-01), NHS 542 290 7227\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 36.7 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 11.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0247", "demographics": {"name": "Patient 247", "dob": "1953-03-04", "nhs_number": "828 902 3527", "age": 73, "sex": "Female", "address": "59 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0247"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "11.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "rising", "previous_value": "6.4", "previous_date": "2025-11-14", "fhir_resource_id": "obs-0247"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 247 (1953-03-04), NHS 828 902 3527\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 11.9 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 89.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0248", "demographics": {"name": "Patient 248", "dob": "1993-02-22", "nhs_number": "879 376 2674", "age": 33, "sex": "Female", "address": "26 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0248"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "89.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "rising", "previous_value": "88.9", "previous_date": "2025-12-07", "fhir_resource_id": "obs-0248"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 248 (1993-02-22), NHS 879 376 2674\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 89.8 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 13.8 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0249", "demographics": {"name": "Patient 249", "dob": "1970-02-28", "nhs_number": "667 195 6315", "age": 56, "sex": "Male", "address": "59 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0249"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "13.8", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-09", "trend": "rising", "previous_value": "7.2", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0249"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 249 (1970-02-28), NHS 667 195 6315\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 13.8 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 70.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0250", "demographics": {"name": "Patient 250", "dob": "1974-02-27", "nhs_number": "348 685 9537", "age": 52, "sex": "Female", "address": "31 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0250"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "70.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "falling", "previous_value": "71.1", "previous_date": "2025-12-09", "fhir_resource_id": "obs-0250"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 250 (1974-02-27), NHS 348 685 9537\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 70.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} diff --git a/clarke/data/training/train.jsonl b/clarke/data/training/train.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c78b3a1c61a3e3d33959d6df59aa42c8235c99bc --- /dev/null +++ b/clarke/data/training/train.jsonl @@ -0,0 +1,200 @@ +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 6.8 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0001", "demographics": {"name": "Patient 1", "dob": "1958-03-03", "nhs_number": "328 242 2679", "age": 68, "sex": "Female", "address": "96 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0001"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "6.8", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "3.2", "previous_date": "2025-12-19", "fhir_resource_id": "obs-0001"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 1 (1958-03-03), NHS 328 242 2679\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 6.8 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 13.0 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0002", "demographics": {"name": "Patient 2", "dob": "1996-02-22", "nhs_number": "716 127 4257", "age": 30, "sex": "Female", "address": "93 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0002"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "13.0", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "8.7", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0002"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 2 (1996-02-22), NHS 716 127 4257\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 13.0 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 77.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0003", "demographics": {"name": "Patient 3", "dob": "1970-02-28", "nhs_number": "925 263 7924", "age": 56, "sex": "Male", "address": "53 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0003"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "77.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-23", "trend": "rising", "previous_value": "69.9", "previous_date": "2025-12-11", "fhir_resource_id": "obs-0003"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 3 (1970-02-28), NHS 925 263 7924\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 77.8 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 13.8 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0004", "demographics": {"name": "Patient 4", "dob": "1950-03-05", "nhs_number": "467 967 6635", "age": 76, "sex": "Male", "address": "87 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0004"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "13.8", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "rising", "previous_value": "11.9", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0004"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 4 (1950-03-05), NHS 467 967 6635\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 13.8 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 92.6 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0005", "demographics": {"name": "Patient 5", "dob": "1964-03-01", "nhs_number": "665 400 6925", "age": 62, "sex": "Female", "address": "83 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0005"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "92.6", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-28", "trend": "rising", "previous_value": "90.7", "previous_date": "2025-12-22", "fhir_resource_id": "obs-0005"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 5 (1964-03-01), NHS 665 400 6925\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 92.6 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 74.5 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0006", "demographics": {"name": "Patient 6", "dob": "1956-03-03", "nhs_number": "975 338 2654", "age": 70, "sex": "Female", "address": "58 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0006"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "74.5", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-23", "trend": "falling", "previous_value": "82.3", "previous_date": "2025-11-02", "fhir_resource_id": "obs-0006"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 6 (1956-03-03), NHS 975 338 2654\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 74.5 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 36.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0007", "demographics": {"name": "Patient 7", "dob": "1988-02-24", "nhs_number": "818 799 2169", "age": 38, "sex": "Male", "address": "87 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0007"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "36.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2025-12-31", "trend": "falling", "previous_value": "39.4", "previous_date": "2025-12-09", "fhir_resource_id": "obs-0007"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 7 (1988-02-24), NHS 818 799 2169\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 36.7 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 38.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0008", "demographics": {"name": "Patient 8", "dob": "1988-02-24", "nhs_number": "755 804 4598", "age": 38, "sex": "Male", "address": "97 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0008"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "38.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "falling", "previous_value": "46.6", "previous_date": "2025-12-23", "fhir_resource_id": "obs-0008"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 8 (1988-02-24), NHS 755 804 4598\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 38.8 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 77.4 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0009", "demographics": {"name": "Patient 9", "dob": "1946-03-06", "nhs_number": "167 316 6155", "age": 80, "sex": "Female", "address": "37 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0009"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "77.4", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "rising", "previous_value": "75.8", "previous_date": "2025-11-10", "fhir_resource_id": "obs-0009"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 9 (1946-03-06), NHS 167 316 6155\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 77.4 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 17.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0010", "demographics": {"name": "Patient 10", "dob": "1989-02-23", "nhs_number": "651 369 8019", "age": 37, "sex": "Male", "address": "84 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0010"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "17.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "falling", "previous_value": "21.0", "previous_date": "2025-11-14", "fhir_resource_id": "obs-0010"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 10 (1989-02-23), NHS 651 369 8019\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 17.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 12.7 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0011", "demographics": {"name": "Patient 11", "dob": "1990-02-23", "nhs_number": "212 256 3621", "age": 36, "sex": "Male", "address": "97 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0011"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "12.7", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "rising", "previous_value": "5.5", "previous_date": "2025-12-22", "fhir_resource_id": "obs-0011"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 11 (1990-02-23), NHS 212 256 3621\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 12.7 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 52.4 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0012", "demographics": {"name": "Patient 12", "dob": "1974-02-27", "nhs_number": "981 111 2876", "age": 52, "sex": "Male", "address": "97 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0012"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "52.4", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "59.9", "previous_date": "2025-11-26", "fhir_resource_id": "obs-0012"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 12 (1974-02-27), NHS 981 111 2876\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 52.4 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 43.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0013", "demographics": {"name": "Patient 13", "dob": "1991-02-23", "nhs_number": "839 996 5315", "age": 35, "sex": "Male", "address": "74 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0013"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "43.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-29", "trend": "rising", "previous_value": "43.1", "previous_date": "2025-10-27", "fhir_resource_id": "obs-0013"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 13 (1991-02-23), NHS 839 996 5315\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 43.8 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 80.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0014", "demographics": {"name": "Patient 14", "dob": "1958-03-03", "nhs_number": "303 256 7126", "age": 68, "sex": "Male", "address": "30 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0014"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "80.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "80.8", "previous_date": "2025-10-24", "fhir_resource_id": "obs-0014"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 14 (1958-03-03), NHS 303 256 7126\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 80.7 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 48.7 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0015", "demographics": {"name": "Patient 15", "dob": "1960-03-02", "nhs_number": "471 999 6038", "age": 66, "sex": "Male", "address": "40 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0015"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "48.7", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-06", "trend": "rising", "previous_value": "42.5", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0015"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 15 (1960-03-02), NHS 471 999 6038\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 48.7 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 78.4 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0016", "demographics": {"name": "Patient 16", "dob": "1993-02-22", "nhs_number": "645 884 3060", "age": 33, "sex": "Male", "address": "26 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0016"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "78.4", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-10", "trend": "falling", "previous_value": "86.0", "previous_date": "2025-10-21", "fhir_resource_id": "obs-0016"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 16 (1993-02-22), NHS 645 884 3060\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 78.4 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 91.8 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0017", "demographics": {"name": "Patient 17", "dob": "1982-02-25", "nhs_number": "873 847 4295", "age": 44, "sex": "Male", "address": "49 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0017"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "91.8", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "falling", "previous_value": "98.7", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0017"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 17 (1982-02-25), NHS 873 847 4295\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 91.8 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 15.5 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0018", "demographics": {"name": "Patient 18", "dob": "1965-03-01", "nhs_number": "446 121 4770", "age": 61, "sex": "Male", "address": "85 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0018"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "15.5", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "rising", "previous_value": "11.1", "previous_date": "2025-12-30", "fhir_resource_id": "obs-0018"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 18 (1965-03-01), NHS 446 121 4770\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 15.5 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 25.2 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0019", "demographics": {"name": "Patient 19", "dob": "1953-03-04", "nhs_number": "980 438 2160", "age": 73, "sex": "Female", "address": "75 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0019"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "25.2", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-25", "trend": "falling", "previous_value": "31.7", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0019"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 19 (1953-03-04), NHS 980 438 2160\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 25.2 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 70.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0020", "demographics": {"name": "Patient 20", "dob": "1985-02-24", "nhs_number": "690 584 4981", "age": 41, "sex": "Female", "address": "70 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0020"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "70.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-14", "trend": "falling", "previous_value": "76.1", "previous_date": "2025-12-06", "fhir_resource_id": "obs-0020"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 20 (1985-02-24), NHS 690 584 4981\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 70.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 36.6 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0021", "demographics": {"name": "Patient 21", "dob": "1992-02-23", "nhs_number": "984 846 1887", "age": 34, "sex": "Male", "address": "96 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0021"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "36.6", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-03", "trend": "rising", "previous_value": "35.2", "previous_date": "2025-12-23", "fhir_resource_id": "obs-0021"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 21 (1992-02-23), NHS 984 846 1887\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 36.6 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 77.0 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0022", "demographics": {"name": "Patient 22", "dob": "1952-03-04", "nhs_number": "296 294 9786", "age": 74, "sex": "Male", "address": "67 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0022"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "77.0", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "rising", "previous_value": "70.7", "previous_date": "2025-11-06", "fhir_resource_id": "obs-0022"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 22 (1952-03-04), NHS 296 294 9786\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 77.0 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 27.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0023", "demographics": {"name": "Patient 23", "dob": "1981-02-25", "nhs_number": "553 927 2604", "age": 45, "sex": "Male", "address": "16 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0023"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "27.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "33.9", "previous_date": "2025-12-29", "fhir_resource_id": "obs-0023"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 23 (1981-02-25), NHS 553 927 2604\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 27.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 19.6 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0024", "demographics": {"name": "Patient 24", "dob": "1950-03-05", "nhs_number": "318 985 7570", "age": 76, "sex": "Female", "address": "17 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0024"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "19.6", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "rising", "previous_value": "19.4", "previous_date": "2025-11-12", "fhir_resource_id": "obs-0024"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 24 (1950-03-05), NHS 318 985 7570\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 19.6 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 88.3 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0025", "demographics": {"name": "Patient 25", "dob": "1974-02-27", "nhs_number": "392 533 8973", "age": 52, "sex": "Male", "address": "29 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0025"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "88.3", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-28", "trend": "falling", "previous_value": "92.9", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0025"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 25 (1974-02-27), NHS 392 533 8973\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 88.3 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 72.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0026", "demographics": {"name": "Patient 26", "dob": "1995-02-22", "nhs_number": "698 588 9238", "age": 31, "sex": "Female", "address": "77 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0026"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "72.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "rising", "previous_value": "65.1", "previous_date": "2025-12-23", "fhir_resource_id": "obs-0026"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 26 (1995-02-22), NHS 698 588 9238\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 72.2 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 10.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0027", "demographics": {"name": "Patient 27", "dob": "1944-03-06", "nhs_number": "982 340 7615", "age": 82, "sex": "Female", "address": "25 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0027"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "10.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-04", "trend": "rising", "previous_value": "3.8", "previous_date": "2025-11-29", "fhir_resource_id": "obs-0027"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 27 (1944-03-06), NHS 982 340 7615\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 10.7 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 42.4 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0028", "demographics": {"name": "Patient 28", "dob": "1959-03-03", "nhs_number": "635 423 5272", "age": 67, "sex": "Female", "address": "36 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0028"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "42.4", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "falling", "previous_value": "43.7", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0028"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 28 (1959-03-03), NHS 635 423 5272\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 42.4 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 65.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0029", "demographics": {"name": "Patient 29", "dob": "1973-02-27", "nhs_number": "423 869 2188", "age": 53, "sex": "Female", "address": "11 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0029"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "65.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "62.1", "previous_date": "2025-10-19", "fhir_resource_id": "obs-0029"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 29 (1973-02-27), NHS 423 869 2188\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 65.3 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 50.3 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0030", "demographics": {"name": "Patient 30", "dob": "1994-02-22", "nhs_number": "457 170 5002", "age": 32, "sex": "Female", "address": "57 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0030"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "50.3", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "rising", "previous_value": "44.4", "previous_date": "2025-12-10", "fhir_resource_id": "obs-0030"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 30 (1994-02-22), NHS 457 170 5002\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 50.3 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 59.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0031", "demographics": {"name": "Patient 31", "dob": "1945-03-06", "nhs_number": "769 641 1128", "age": 81, "sex": "Male", "address": "95 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0031"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "59.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "falling", "previous_value": "67.7", "previous_date": "2025-11-22", "fhir_resource_id": "obs-0031"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 31 (1945-03-06), NHS 769 641 1128\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 59.9 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 14.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0032", "demographics": {"name": "Patient 32", "dob": "1990-02-23", "nhs_number": "666 259 5462", "age": 36, "sex": "Male", "address": "46 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0032"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "14.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "rising", "previous_value": "8.6", "previous_date": "2025-12-04", "fhir_resource_id": "obs-0032"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 32 (1990-02-23), NHS 666 259 5462\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 14.9 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 50.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0033", "demographics": {"name": "Patient 33", "dob": "1985-02-24", "nhs_number": "966 152 2512", "age": 41, "sex": "Male", "address": "91 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0033"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "50.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "rising", "previous_value": "46.2", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0033"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 33 (1985-02-24), NHS 966 152 2512\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 50.2 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 74.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0034", "demographics": {"name": "Patient 34", "dob": "1998-02-21", "nhs_number": "368 265 8239", "age": 28, "sex": "Male", "address": "80 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0034"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "74.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "falling", "previous_value": "76.5", "previous_date": "2025-10-20", "fhir_resource_id": "obs-0034"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 34 (1998-02-21), NHS 368 265 8239\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 74.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 90.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0035", "demographics": {"name": "Patient 35", "dob": "1991-02-23", "nhs_number": "252 658 1590", "age": 35, "sex": "Female", "address": "57 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0035"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "90.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-03", "trend": "falling", "previous_value": "93.1", "previous_date": "2025-10-21", "fhir_resource_id": "obs-0035"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 35 (1991-02-23), NHS 252 658 1590\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 90.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 8.3 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0036", "demographics": {"name": "Patient 36", "dob": "1971-02-28", "nhs_number": "915 981 1653", "age": 55, "sex": "Female", "address": "55 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0036"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "8.3", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "rising", "previous_value": "6.1", "previous_date": "2025-11-29", "fhir_resource_id": "obs-0036"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 36 (1971-02-28), NHS 915 981 1653\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 8.3 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 92.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0037", "demographics": {"name": "Patient 37", "dob": "1976-02-27", "nhs_number": "342 985 3662", "age": 50, "sex": "Male", "address": "32 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0037"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "92.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-14", "trend": "falling", "previous_value": "96.6", "previous_date": "2025-12-27", "fhir_resource_id": "obs-0037"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 37 (1976-02-27), NHS 342 985 3662\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 92.6 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 75.3 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0038", "demographics": {"name": "Patient 38", "dob": "1951-03-05", "nhs_number": "785 984 5065", "age": 75, "sex": "Male", "address": "44 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0038"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "75.3", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "rising", "previous_value": "73.9", "previous_date": "2025-12-17", "fhir_resource_id": "obs-0038"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 38 (1951-03-05), NHS 785 984 5065\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 75.3 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 24.6 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0039", "demographics": {"name": "Patient 39", "dob": "1996-02-22", "nhs_number": "571 458 6000", "age": 30, "sex": "Male", "address": "39 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0039"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "24.6", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "29.7", "previous_date": "2025-12-27", "fhir_resource_id": "obs-0039"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 39 (1996-02-22), NHS 571 458 6000\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 24.6 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 29.7 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0040", "demographics": {"name": "Patient 40", "dob": "1973-02-27", "nhs_number": "891 385 6753", "age": 53, "sex": "Male", "address": "92 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0040"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "29.7", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "rising", "previous_value": "22.8", "previous_date": "2025-11-09", "fhir_resource_id": "obs-0040"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 40 (1973-02-27), NHS 891 385 6753\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 29.7 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 83.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0041", "demographics": {"name": "Patient 41", "dob": "1997-02-21", "nhs_number": "694 371 1626", "age": 29, "sex": "Female", "address": "23 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0041"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "83.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "rising", "previous_value": "80.1", "previous_date": "2025-11-05", "fhir_resource_id": "obs-0041"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 41 (1997-02-21), NHS 694 371 1626\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 83.9 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 44.0 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0042", "demographics": {"name": "Patient 42", "dob": "1952-03-04", "nhs_number": "218 494 4114", "age": 74, "sex": "Male", "address": "42 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0042"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "44.0", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-07", "trend": "falling", "previous_value": "51.7", "previous_date": "2025-11-05", "fhir_resource_id": "obs-0042"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 42 (1952-03-04), NHS 218 494 4114\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 44.0 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 37.5 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0043", "demographics": {"name": "Patient 43", "dob": "1965-03-01", "nhs_number": "780 438 6143", "age": 61, "sex": "Female", "address": "94 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0043"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "37.5", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "30.6", "previous_date": "2025-11-22", "fhir_resource_id": "obs-0043"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 43 (1965-03-01), NHS 780 438 6143\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 37.5 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 34.0 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0044", "demographics": {"name": "Patient 44", "dob": "1956-03-03", "nhs_number": "667 230 4143", "age": 70, "sex": "Male", "address": "63 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0044"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "34.0", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "falling", "previous_value": "37.2", "previous_date": "2025-12-08", "fhir_resource_id": "obs-0044"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 44 (1956-03-03), NHS 667 230 4143\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 34.0 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 32.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0045", "demographics": {"name": "Patient 45", "dob": "1973-02-27", "nhs_number": "904 693 6279", "age": 53, "sex": "Female", "address": "69 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0045"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "32.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "rising", "previous_value": "27.4", "previous_date": "2025-11-04", "fhir_resource_id": "obs-0045"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 45 (1973-02-27), NHS 904 693 6279\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 32.0 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 76.3 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0046", "demographics": {"name": "Patient 46", "dob": "1966-03-01", "nhs_number": "853 273 2389", "age": 60, "sex": "Male", "address": "46 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0046"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "76.3", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "falling", "previous_value": "83.7", "previous_date": "2025-11-18", "fhir_resource_id": "obs-0046"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 46 (1966-03-01), NHS 853 273 2389\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 76.3 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 65.4 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0047", "demographics": {"name": "Patient 47", "dob": "1946-03-06", "nhs_number": "303 250 1400", "age": 80, "sex": "Female", "address": "15 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0047"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "65.4", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-25", "trend": "rising", "previous_value": "61.0", "previous_date": "2025-10-31", "fhir_resource_id": "obs-0047"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 47 (1946-03-06), NHS 303 250 1400\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 65.4 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 84.7 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0048", "demographics": {"name": "Patient 48", "dob": "1969-02-28", "nhs_number": "835 813 7291", "age": 57, "sex": "Male", "address": "73 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0048"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "84.7", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "falling", "previous_value": "85.9", "previous_date": "2025-11-29", "fhir_resource_id": "obs-0048"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 48 (1969-02-28), NHS 835 813 7291\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 84.7 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 85.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0049", "demographics": {"name": "Patient 49", "dob": "1957-03-03", "nhs_number": "209 897 7965", "age": 69, "sex": "Female", "address": "38 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0049"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "85.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-29", "trend": "falling", "previous_value": "91.1", "previous_date": "2025-10-25", "fhir_resource_id": "obs-0049"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 49 (1957-03-03), NHS 209 897 7965\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 85.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 87.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0050", "demographics": {"name": "Patient 50", "dob": "1995-02-22", "nhs_number": "236 920 8612", "age": 31, "sex": "Female", "address": "95 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0050"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "87.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "rising", "previous_value": "81.4", "previous_date": "2025-10-20", "fhir_resource_id": "obs-0050"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 50 (1995-02-22), NHS 236 920 8612\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 87.5 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 59.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0051", "demographics": {"name": "Patient 51", "dob": "1950-03-05", "nhs_number": "616 536 9976", "age": 76, "sex": "Male", "address": "67 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0051"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "59.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "falling", "previous_value": "63.4", "previous_date": "2025-10-31", "fhir_resource_id": "obs-0051"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 51 (1950-03-05), NHS 616 536 9976\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 59.9 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 80.5 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0052", "demographics": {"name": "Patient 52", "dob": "1982-02-25", "nhs_number": "896 633 8939", "age": 44, "sex": "Female", "address": "90 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0052"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "80.5", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-25", "trend": "rising", "previous_value": "76.9", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0052"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 52 (1982-02-25), NHS 896 633 8939\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 80.5 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 25.7 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0053", "demographics": {"name": "Patient 53", "dob": "1994-02-22", "nhs_number": "653 182 3267", "age": 32, "sex": "Male", "address": "29 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0053"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "25.7", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "rising", "previous_value": "23.1", "previous_date": "2025-11-11", "fhir_resource_id": "obs-0053"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 53 (1994-02-22), NHS 653 182 3267\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 25.7 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 10.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0054", "demographics": {"name": "Patient 54", "dob": "1953-03-04", "nhs_number": "655 577 7812", "age": 73, "sex": "Female", "address": "17 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0054"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "10.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "rising", "previous_value": "8.8", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0054"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 54 (1953-03-04), NHS 655 577 7812\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 10.3 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 82.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0055", "demographics": {"name": "Patient 55", "dob": "1949-03-05", "nhs_number": "489 588 1096", "age": 77, "sex": "Female", "address": "55 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0055"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "82.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "falling", "previous_value": "86.2", "previous_date": "2025-11-11", "fhir_resource_id": "obs-0055"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 55 (1949-03-05), NHS 489 588 1096\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 82.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 48.7 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0056", "demographics": {"name": "Patient 56", "dob": "1964-03-01", "nhs_number": "597 129 7371", "age": 62, "sex": "Female", "address": "53 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0056"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "48.7", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "rising", "previous_value": "45.1", "previous_date": "2025-12-09", "fhir_resource_id": "obs-0056"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 56 (1964-03-01), NHS 597 129 7371\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 48.7 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 86.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0057", "demographics": {"name": "Patient 57", "dob": "1990-02-23", "nhs_number": "778 127 2375", "age": 36, "sex": "Female", "address": "92 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0057"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "86.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "falling", "previous_value": "88.1", "previous_date": "2025-12-13", "fhir_resource_id": "obs-0057"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 57 (1990-02-23), NHS 778 127 2375\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 86.6 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 28.0 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0058", "demographics": {"name": "Patient 58", "dob": "1987-02-24", "nhs_number": "565 434 6529", "age": 39, "sex": "Female", "address": "58 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0058"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "28.0", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-23", "trend": "rising", "previous_value": "25.2", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0058"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 58 (1987-02-24), NHS 565 434 6529\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 28.0 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 47.1 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0059", "demographics": {"name": "Patient 59", "dob": "1945-03-06", "nhs_number": "153 458 4673", "age": 81, "sex": "Female", "address": "93 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0059"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "47.1", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-05", "trend": "falling", "previous_value": "51.1", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0059"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 59 (1945-03-06), NHS 153 458 4673\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 47.1 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 80.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0060", "demographics": {"name": "Patient 60", "dob": "1983-02-25", "nhs_number": "344 229 8758", "age": 43, "sex": "Female", "address": "95 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0060"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "80.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "falling", "previous_value": "82.4", "previous_date": "2025-10-19", "fhir_resource_id": "obs-0060"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 60 (1983-02-25), NHS 344 229 8758\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 80.5 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 73.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0061", "demographics": {"name": "Patient 61", "dob": "1969-02-28", "nhs_number": "721 865 2876", "age": 57, "sex": "Male", "address": "30 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0061"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "73.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "rising", "previous_value": "68.6", "previous_date": "2025-12-17", "fhir_resource_id": "obs-0061"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 61 (1969-02-28), NHS 721 865 2876\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 73.9 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 40.4 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0062", "demographics": {"name": "Patient 62", "dob": "1979-02-26", "nhs_number": "177 706 4978", "age": 47, "sex": "Male", "address": "23 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0062"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "40.4", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "falling", "previous_value": "43.8", "previous_date": "2025-12-15", "fhir_resource_id": "obs-0062"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 62 (1979-02-26), NHS 177 706 4978\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 40.4 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 64.4 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0063", "demographics": {"name": "Patient 63", "dob": "1976-02-27", "nhs_number": "763 449 1207", "age": 50, "sex": "Male", "address": "63 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0063"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "64.4", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "rising", "previous_value": "57.5", "previous_date": "2025-12-17", "fhir_resource_id": "obs-0063"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 63 (1976-02-27), NHS 763 449 1207\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 64.4 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 68.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0064", "demographics": {"name": "Patient 64", "dob": "1975-02-27", "nhs_number": "851 634 5425", "age": 51, "sex": "Male", "address": "88 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0064"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "68.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "67.5", "previous_date": "2025-10-30", "fhir_resource_id": "obs-0064"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 64 (1975-02-27), NHS 851 634 5425\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 68.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 33.7 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0065", "demographics": {"name": "Patient 65", "dob": "1971-02-28", "nhs_number": "188 385 8385", "age": 55, "sex": "Male", "address": "41 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0065"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "33.7", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "29.6", "previous_date": "2025-10-19", "fhir_resource_id": "obs-0065"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 65 (1971-02-28), NHS 188 385 8385\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 33.7 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 49.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0066", "demographics": {"name": "Patient 66", "dob": "1977-02-26", "nhs_number": "599 317 6813", "age": 49, "sex": "Female", "address": "43 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0066"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "49.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "rising", "previous_value": "46.4", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0066"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 66 (1977-02-26), NHS 599 317 6813\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 49.2 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 51.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0067", "demographics": {"name": "Patient 67", "dob": "1963-03-02", "nhs_number": "347 837 7658", "age": 63, "sex": "Female", "address": "72 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0067"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "51.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "46.4", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0067"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 67 (1963-03-02), NHS 347 837 7658\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 51.3 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 45.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0068", "demographics": {"name": "Patient 68", "dob": "1957-03-03", "nhs_number": "401 326 7625", "age": 69, "sex": "Male", "address": "98 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0068"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "45.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-25", "trend": "rising", "previous_value": "37.4", "previous_date": "2025-11-21", "fhir_resource_id": "obs-0068"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 68 (1957-03-03), NHS 401 326 7625\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 45.1 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 43.0 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0069", "demographics": {"name": "Patient 69", "dob": "1968-02-29", "nhs_number": "438 460 8434", "age": 58, "sex": "Male", "address": "44 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0069"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "43.0", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "falling", "previous_value": "46.9", "previous_date": "2025-11-28", "fhir_resource_id": "obs-0069"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 69 (1968-02-29), NHS 438 460 8434\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 43.0 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 33.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0070", "demographics": {"name": "Patient 70", "dob": "1991-02-23", "nhs_number": "880 806 4033", "age": 35, "sex": "Female", "address": "34 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0070"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "33.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "falling", "previous_value": "37.0", "previous_date": "2025-10-30", "fhir_resource_id": "obs-0070"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 70 (1991-02-23), NHS 880 806 4033\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 33.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 93.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0071", "demographics": {"name": "Patient 71", "dob": "1952-03-04", "nhs_number": "403 332 6912", "age": 74, "sex": "Male", "address": "32 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0071"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "93.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "falling", "previous_value": "98.5", "previous_date": "2025-12-29", "fhir_resource_id": "obs-0071"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 71 (1952-03-04), NHS 403 332 6912\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 93.2 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 92.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0072", "demographics": {"name": "Patient 72", "dob": "1981-02-25", "nhs_number": "814 229 9042", "age": 45, "sex": "Female", "address": "23 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0072"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "92.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-09", "trend": "falling", "previous_value": "93.6", "previous_date": "2025-10-18", "fhir_resource_id": "obs-0072"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 72 (1981-02-25), NHS 814 229 9042\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 92.7 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 44.4 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0073", "demographics": {"name": "Patient 73", "dob": "1968-02-29", "nhs_number": "152 358 8827", "age": 58, "sex": "Male", "address": "24 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0073"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "44.4", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-05", "trend": "rising", "previous_value": "39.3", "previous_date": "2025-11-09", "fhir_resource_id": "obs-0073"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 73 (1968-02-29), NHS 152 358 8827\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 44.4 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 18.2 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0074", "demographics": {"name": "Patient 74", "dob": "1994-02-22", "nhs_number": "411 187 5066", "age": 32, "sex": "Female", "address": "25 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0074"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "18.2", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "falling", "previous_value": "23.2", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0074"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 74 (1994-02-22), NHS 411 187 5066\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 18.2 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 45.3 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0075", "demographics": {"name": "Patient 75", "dob": "1949-03-05", "nhs_number": "980 702 8025", "age": 77, "sex": "Male", "address": "49 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0075"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "45.3", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-04", "trend": "rising", "previous_value": "44.4", "previous_date": "2025-12-23", "fhir_resource_id": "obs-0075"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 75 (1949-03-05), NHS 980 702 8025\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 45.3 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 61.1 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0076", "demographics": {"name": "Patient 76", "dob": "1950-03-05", "nhs_number": "183 260 4929", "age": 76, "sex": "Female", "address": "32 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0076"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "61.1", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "57.3", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0076"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 76 (1950-03-05), NHS 183 260 4929\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 61.1 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 45.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0077", "demographics": {"name": "Patient 77", "dob": "1998-02-21", "nhs_number": "398 133 4792", "age": 28, "sex": "Male", "address": "46 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0077"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "45.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "falling", "previous_value": "46.8", "previous_date": "2025-11-02", "fhir_resource_id": "obs-0077"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 77 (1998-02-21), NHS 398 133 4792\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 45.3 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 88.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0078", "demographics": {"name": "Patient 78", "dob": "1955-03-04", "nhs_number": "740 703 4241", "age": 71, "sex": "Female", "address": "64 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0078"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "88.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "falling", "previous_value": "92.7", "previous_date": "2025-10-22", "fhir_resource_id": "obs-0078"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 78 (1955-03-04), NHS 740 703 4241\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 88.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 86.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0079", "demographics": {"name": "Patient 79", "dob": "1957-03-03", "nhs_number": "173 161 3718", "age": 69, "sex": "Female", "address": "49 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0079"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "86.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "falling", "previous_value": "91.9", "previous_date": "2025-10-19", "fhir_resource_id": "obs-0079"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 79 (1957-03-03), NHS 173 161 3718\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 86.7 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 46.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0080", "demographics": {"name": "Patient 80", "dob": "1970-02-28", "nhs_number": "512 378 9199", "age": 56, "sex": "Female", "address": "79 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0080"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "46.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "rising", "previous_value": "43.8", "previous_date": "2025-11-04", "fhir_resource_id": "obs-0080"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 80 (1970-02-28), NHS 512 378 9199\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 46.9 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 85.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0081", "demographics": {"name": "Patient 81", "dob": "1960-03-02", "nhs_number": "718 356 1423", "age": 66, "sex": "Female", "address": "21 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0081"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "85.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "88.8", "previous_date": "2025-10-18", "fhir_resource_id": "obs-0081"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 81 (1960-03-02), NHS 718 356 1423\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 85.0 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 56.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0082", "demographics": {"name": "Patient 82", "dob": "1950-03-05", "nhs_number": "279 581 9502", "age": 76, "sex": "Male", "address": "93 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0082"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "56.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "falling", "previous_value": "60.9", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0082"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 82 (1950-03-05), NHS 279 581 9502\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 56.7 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 61.9 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0083", "demographics": {"name": "Patient 83", "dob": "1961-03-02", "nhs_number": "193 581 6700", "age": 65, "sex": "Male", "address": "62 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0083"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "61.9", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "rising", "previous_value": "61.8", "previous_date": "2025-11-19", "fhir_resource_id": "obs-0083"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 83 (1961-03-02), NHS 193 581 6700\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 61.9 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 34.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0084", "demographics": {"name": "Patient 84", "dob": "1944-03-06", "nhs_number": "395 778 7561", "age": 82, "sex": "Female", "address": "80 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0084"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "34.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-07", "trend": "falling", "previous_value": "37.4", "previous_date": "2025-11-02", "fhir_resource_id": "obs-0084"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 84 (1944-03-06), NHS 395 778 7561\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 34.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 33.8 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0085", "demographics": {"name": "Patient 85", "dob": "1978-02-26", "nhs_number": "513 985 9431", "age": 48, "sex": "Male", "address": "10 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0085"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "33.8", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "41.3", "previous_date": "2025-11-01", "fhir_resource_id": "obs-0085"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 85 (1978-02-26), NHS 513 985 9431\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 33.8 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 51.4 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0086", "demographics": {"name": "Patient 86", "dob": "1995-02-22", "nhs_number": "610 740 8242", "age": 31, "sex": "Female", "address": "16 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0086"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "51.4", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "falling", "previous_value": "53.4", "previous_date": "2025-11-26", "fhir_resource_id": "obs-0086"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 86 (1995-02-22), NHS 610 740 8242\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 51.4 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 84.2 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0087", "demographics": {"name": "Patient 87", "dob": "1980-02-26", "nhs_number": "129 745 4920", "age": 46, "sex": "Male", "address": "30 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0087"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "84.2", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "rising", "previous_value": "84.0", "previous_date": "2025-10-21", "fhir_resource_id": "obs-0087"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 87 (1980-02-26), NHS 129 745 4920\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 84.2 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 12.9 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0088", "demographics": {"name": "Patient 88", "dob": "1963-03-02", "nhs_number": "216 572 2924", "age": 63, "sex": "Male", "address": "92 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0088"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "12.9", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "falling", "previous_value": "20.8", "previous_date": "2025-10-28", "fhir_resource_id": "obs-0088"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 88 (1963-03-02), NHS 216 572 2924\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 12.9 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 42.1 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0089", "demographics": {"name": "Patient 89", "dob": "1966-03-01", "nhs_number": "583 349 8483", "age": 60, "sex": "Male", "address": "80 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0089"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "42.1", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "rising", "previous_value": "41.8", "previous_date": "2025-11-11", "fhir_resource_id": "obs-0089"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 89 (1966-03-01), NHS 583 349 8483\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 42.1 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 82.7 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0090", "demographics": {"name": "Patient 90", "dob": "1960-03-02", "nhs_number": "908 974 7798", "age": 66, "sex": "Female", "address": "53 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0090"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "82.7", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "rising", "previous_value": "79.1", "previous_date": "2025-11-26", "fhir_resource_id": "obs-0090"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 90 (1960-03-02), NHS 908 974 7798\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 82.7 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 80.3 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0091", "demographics": {"name": "Patient 91", "dob": "1980-02-26", "nhs_number": "775 601 3434", "age": 46, "sex": "Male", "address": "67 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0091"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "80.3", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "81.6", "previous_date": "2025-10-30", "fhir_resource_id": "obs-0091"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 91 (1980-02-26), NHS 775 601 3434\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 80.3 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 45.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0092", "demographics": {"name": "Patient 92", "dob": "1977-02-26", "nhs_number": "293 814 4912", "age": 49, "sex": "Male", "address": "83 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0092"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "45.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "rising", "previous_value": "42.8", "previous_date": "2025-12-01", "fhir_resource_id": "obs-0092"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 92 (1977-02-26), NHS 293 814 4912\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 45.7 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 71.9 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0093", "demographics": {"name": "Patient 93", "dob": "1996-02-22", "nhs_number": "930 490 7325", "age": 30, "sex": "Male", "address": "94 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0093"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "71.9", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "falling", "previous_value": "75.2", "previous_date": "2025-10-28", "fhir_resource_id": "obs-0093"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 93 (1996-02-22), NHS 930 490 7325\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 71.9 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 83.2 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0094", "demographics": {"name": "Patient 94", "dob": "1990-02-23", "nhs_number": "550 202 9617", "age": 36, "sex": "Male", "address": "68 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0094"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "83.2", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-09", "trend": "falling", "previous_value": "89.2", "previous_date": "2025-12-12", "fhir_resource_id": "obs-0094"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 94 (1990-02-23), NHS 550 202 9617\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 83.2 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 11.3 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0095", "demographics": {"name": "Patient 95", "dob": "1957-03-03", "nhs_number": "371 446 7512", "age": 69, "sex": "Female", "address": "93 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0095"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "11.3", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "falling", "previous_value": "15.8", "previous_date": "2025-11-18", "fhir_resource_id": "obs-0095"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 95 (1957-03-03), NHS 371 446 7512\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 11.3 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 83.5 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0096", "demographics": {"name": "Patient 96", "dob": "1978-02-26", "nhs_number": "170 340 5708", "age": 48, "sex": "Male", "address": "39 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0096"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "83.5", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "rising", "previous_value": "76.1", "previous_date": "2025-11-05", "fhir_resource_id": "obs-0096"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 96 (1978-02-26), NHS 170 340 5708\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 83.5 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 44.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0097", "demographics": {"name": "Patient 97", "dob": "1950-03-05", "nhs_number": "129 147 6314", "age": 76, "sex": "Female", "address": "17 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0097"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "44.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "falling", "previous_value": "47.8", "previous_date": "2025-11-15", "fhir_resource_id": "obs-0097"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 97 (1950-03-05), NHS 129 147 6314\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 44.7 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 26.6 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0098", "demographics": {"name": "Patient 98", "dob": "1971-02-28", "nhs_number": "798 911 3950", "age": 55, "sex": "Female", "address": "31 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0098"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "26.6", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-29", "trend": "rising", "previous_value": "25.2", "previous_date": "2025-12-20", "fhir_resource_id": "obs-0098"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 98 (1971-02-28), NHS 798 911 3950\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 26.6 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 49.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0099", "demographics": {"name": "Patient 99", "dob": "1959-03-03", "nhs_number": "337 572 5161", "age": 67, "sex": "Female", "address": "68 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0099"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "49.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "falling", "previous_value": "50.8", "previous_date": "2025-12-29", "fhir_resource_id": "obs-0099"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 99 (1959-03-03), NHS 337 572 5161\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 49.5 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 11.2 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0100", "demographics": {"name": "Patient 100", "dob": "1980-02-26", "nhs_number": "701 406 7951", "age": 46, "sex": "Female", "address": "98 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0100"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "11.2", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "falling", "previous_value": "18.3", "previous_date": "2025-11-02", "fhir_resource_id": "obs-0100"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 100 (1980-02-26), NHS 701 406 7951\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 11.2 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 81.7 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0101", "demographics": {"name": "Patient 101", "dob": "1986-02-24", "nhs_number": "490 685 6881", "age": 40, "sex": "Male", "address": "83 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0101"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "81.7", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "rising", "previous_value": "75.4", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0101"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 101 (1986-02-24), NHS 490 685 6881\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 81.7 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 29.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0102", "demographics": {"name": "Patient 102", "dob": "1945-03-06", "nhs_number": "802 896 1803", "age": 81, "sex": "Male", "address": "87 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0102"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "29.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "falling", "previous_value": "30.4", "previous_date": "2025-11-24", "fhir_resource_id": "obs-0102"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 102 (1945-03-06), NHS 802 896 1803\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 29.3 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 24.3 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0103", "demographics": {"name": "Patient 103", "dob": "1960-03-02", "nhs_number": "356 794 3240", "age": 66, "sex": "Male", "address": "90 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0103"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "24.3", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-03", "trend": "rising", "previous_value": "19.3", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0103"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 103 (1960-03-02), NHS 356 794 3240\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 24.3 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 7.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0104", "demographics": {"name": "Patient 104", "dob": "1948-03-05", "nhs_number": "234 192 5835", "age": 78, "sex": "Male", "address": "51 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0104"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "7.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-14", "trend": "rising", "previous_value": "5.3", "previous_date": "2025-12-08", "fhir_resource_id": "obs-0104"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 104 (1948-03-05), NHS 234 192 5835\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 7.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 52.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0105", "demographics": {"name": "Patient 105", "dob": "1990-02-23", "nhs_number": "950 268 5210", "age": 36, "sex": "Male", "address": "71 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0105"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "52.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "falling", "previous_value": "59.1", "previous_date": "2025-11-17", "fhir_resource_id": "obs-0105"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 105 (1990-02-23), NHS 950 268 5210\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 52.5 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 17.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0106", "demographics": {"name": "Patient 106", "dob": "1969-02-28", "nhs_number": "980 792 7511", "age": 57, "sex": "Female", "address": "81 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0106"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "17.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-17", "trend": "falling", "previous_value": "24.7", "previous_date": "2025-12-19", "fhir_resource_id": "obs-0106"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 106 (1969-02-28), NHS 980 792 7511\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 17.2 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 53.1 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0107", "demographics": {"name": "Patient 107", "dob": "1998-02-21", "nhs_number": "788 866 5295", "age": 28, "sex": "Male", "address": "84 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0107"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "53.1", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "rising", "previous_value": "52.4", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0107"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 107 (1998-02-21), NHS 788 866 5295\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 53.1 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 47.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0108", "demographics": {"name": "Patient 108", "dob": "1955-03-04", "nhs_number": "674 435 4626", "age": 71, "sex": "Female", "address": "92 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0108"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "47.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-05", "trend": "falling", "previous_value": "49.1", "previous_date": "2025-11-01", "fhir_resource_id": "obs-0108"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 108 (1955-03-04), NHS 674 435 4626\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 47.2 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 15.1 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0109", "demographics": {"name": "Patient 109", "dob": "1957-03-03", "nhs_number": "138 411 9071", "age": 69, "sex": "Male", "address": "24 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0109"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "15.1", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-03", "trend": "rising", "previous_value": "7.8", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0109"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 109 (1957-03-03), NHS 138 411 9071\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 15.1 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 38.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0110", "demographics": {"name": "Patient 110", "dob": "1974-02-27", "nhs_number": "813 653 7866", "age": 52, "sex": "Male", "address": "85 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0110"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "38.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "falling", "previous_value": "45.3", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0110"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 110 (1974-02-27), NHS 813 653 7866\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 38.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 60.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0111", "demographics": {"name": "Patient 111", "dob": "1945-03-06", "nhs_number": "386 133 7070", "age": 81, "sex": "Male", "address": "37 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0111"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "60.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "falling", "previous_value": "67.2", "previous_date": "2025-11-04", "fhir_resource_id": "obs-0111"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 111 (1945-03-06), NHS 386 133 7070\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 60.2 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 13.5 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0112", "demographics": {"name": "Patient 112", "dob": "1944-03-06", "nhs_number": "657 760 6876", "age": 82, "sex": "Male", "address": "17 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0112"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "13.5", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "falling", "previous_value": "16.5", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0112"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 112 (1944-03-06), NHS 657 760 6876\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 13.5 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 12.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0113", "demographics": {"name": "Patient 113", "dob": "1991-02-23", "nhs_number": "754 711 1349", "age": 35, "sex": "Male", "address": "16 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0113"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "12.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "rising", "previous_value": "8.2", "previous_date": "2025-11-29", "fhir_resource_id": "obs-0113"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 113 (1991-02-23), NHS 754 711 1349\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 12.8 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 10.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0114", "demographics": {"name": "Patient 114", "dob": "1948-03-05", "nhs_number": "312 700 4538", "age": 78, "sex": "Female", "address": "39 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0114"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "10.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "falling", "previous_value": "14.9", "previous_date": "2025-12-12", "fhir_resource_id": "obs-0114"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 114 (1948-03-05), NHS 312 700 4538\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 10.7 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 93.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0115", "demographics": {"name": "Patient 115", "dob": "1981-02-25", "nhs_number": "917 278 2801", "age": 45, "sex": "Female", "address": "94 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0115"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "93.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-08", "trend": "falling", "previous_value": "94.5", "previous_date": "2025-12-14", "fhir_resource_id": "obs-0115"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 115 (1981-02-25), NHS 917 278 2801\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 93.9 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 57.8 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0116", "demographics": {"name": "Patient 116", "dob": "1976-02-27", "nhs_number": "371 153 3076", "age": 50, "sex": "Female", "address": "63 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0116"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "57.8", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "rising", "previous_value": "50.1", "previous_date": "2025-12-16", "fhir_resource_id": "obs-0116"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 116 (1976-02-27), NHS 371 153 3076\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 57.8 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 74.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0117", "demographics": {"name": "Patient 117", "dob": "1968-02-29", "nhs_number": "211 562 9254", "age": 58, "sex": "Male", "address": "38 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0117"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "74.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-01", "trend": "falling", "previous_value": "75.1", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0117"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 117 (1968-02-29), NHS 211 562 9254\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 74.9 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 10.0 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0118", "demographics": {"name": "Patient 118", "dob": "1969-02-28", "nhs_number": "511 536 2768", "age": 57, "sex": "Female", "address": "72 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0118"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "10.0", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "rising", "previous_value": "9.7", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0118"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 118 (1969-02-28), NHS 511 536 2768\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 10.0 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 10.4 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0119", "demographics": {"name": "Patient 119", "dob": "1978-02-26", "nhs_number": "748 699 9984", "age": 48, "sex": "Female", "address": "51 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0119"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "10.4", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "rising", "previous_value": "6.8", "previous_date": "2025-10-24", "fhir_resource_id": "obs-0119"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 119 (1978-02-26), NHS 748 699 9984\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 10.4 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 13.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0120", "demographics": {"name": "Patient 120", "dob": "1969-02-28", "nhs_number": "973 770 4522", "age": 57, "sex": "Male", "address": "65 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0120"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "13.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "falling", "previous_value": "16.7", "previous_date": "2025-12-01", "fhir_resource_id": "obs-0120"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 120 (1969-02-28), NHS 973 770 4522\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 13.5 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 40.6 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0121", "demographics": {"name": "Patient 121", "dob": "1977-02-26", "nhs_number": "420 537 6120", "age": 49, "sex": "Male", "address": "95 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0121"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "40.6", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "falling", "previous_value": "44.3", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0121"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 121 (1977-02-26), NHS 420 537 6120\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 40.6 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 10.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0122", "demographics": {"name": "Patient 122", "dob": "1955-03-04", "nhs_number": "195 542 2582", "age": 71, "sex": "Male", "address": "57 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0122"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "10.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "falling", "previous_value": "15.9", "previous_date": "2025-10-20", "fhir_resource_id": "obs-0122"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 122 (1955-03-04), NHS 195 542 2582\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 10.6 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 65.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0123", "demographics": {"name": "Patient 123", "dob": "1961-03-02", "nhs_number": "994 781 7929", "age": 65, "sex": "Male", "address": "16 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0123"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "65.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "rising", "previous_value": "63.7", "previous_date": "2025-11-21", "fhir_resource_id": "obs-0123"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 123 (1961-03-02), NHS 994 781 7929\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 65.1 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 18.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0124", "demographics": {"name": "Patient 124", "dob": "1992-02-23", "nhs_number": "967 210 6736", "age": 34, "sex": "Female", "address": "81 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0124"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "18.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-17", "trend": "rising", "previous_value": "18.2", "previous_date": "2025-12-16", "fhir_resource_id": "obs-0124"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 124 (1992-02-23), NHS 967 210 6736\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 18.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 77.6 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0125", "demographics": {"name": "Patient 125", "dob": "1962-03-02", "nhs_number": "885 938 1430", "age": 64, "sex": "Female", "address": "87 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0125"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "77.6", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-23", "trend": "falling", "previous_value": "83.1", "previous_date": "2025-12-27", "fhir_resource_id": "obs-0125"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 125 (1962-03-02), NHS 885 938 1430\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 77.6 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 87.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0126", "demographics": {"name": "Patient 126", "dob": "1981-02-25", "nhs_number": "285 990 3347", "age": 45, "sex": "Male", "address": "82 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0126"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "87.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "rising", "previous_value": "85.5", "previous_date": "2025-12-22", "fhir_resource_id": "obs-0126"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 126 (1981-02-25), NHS 285 990 3347\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 87.9 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 12.8 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0127", "demographics": {"name": "Patient 127", "dob": "1951-03-05", "nhs_number": "485 529 8432", "age": 75, "sex": "Female", "address": "53 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0127"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "12.8", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "falling", "previous_value": "13.3", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0127"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 127 (1951-03-05), NHS 485 529 8432\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 12.8 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 74.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0128", "demographics": {"name": "Patient 128", "dob": "1952-03-04", "nhs_number": "186 153 3549", "age": 74, "sex": "Male", "address": "30 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0128"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "74.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-01", "trend": "falling", "previous_value": "75.9", "previous_date": "2025-12-24", "fhir_resource_id": "obs-0128"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 128 (1952-03-04), NHS 186 153 3549\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 74.8 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 64.4 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0129", "demographics": {"name": "Patient 129", "dob": "1981-02-25", "nhs_number": "552 524 5475", "age": 45, "sex": "Male", "address": "37 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0129"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "64.4", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "rising", "previous_value": "64.2", "previous_date": "2025-12-16", "fhir_resource_id": "obs-0129"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 129 (1981-02-25), NHS 552 524 5475\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 64.4 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 30.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0130", "demographics": {"name": "Patient 130", "dob": "1971-02-28", "nhs_number": "598 639 6053", "age": 55, "sex": "Female", "address": "15 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0130"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "30.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "33.0", "previous_date": "2025-11-10", "fhir_resource_id": "obs-0130"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 130 (1971-02-28), NHS 598 639 6053\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 30.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 31.8 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0131", "demographics": {"name": "Patient 131", "dob": "1998-02-21", "nhs_number": "240 882 5186", "age": 28, "sex": "Female", "address": "47 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0131"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "31.8", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "rising", "previous_value": "27.2", "previous_date": "2025-12-15", "fhir_resource_id": "obs-0131"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 131 (1998-02-21), NHS 240 882 5186\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 31.8 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 20.4 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0132", "demographics": {"name": "Patient 132", "dob": "1967-03-01", "nhs_number": "820 335 9196", "age": 59, "sex": "Male", "address": "81 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0132"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "20.4", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-18", "trend": "rising", "previous_value": "18.5", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0132"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 132 (1967-03-01), NHS 820 335 9196\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 20.4 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 44.0 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0133", "demographics": {"name": "Patient 133", "dob": "1951-03-05", "nhs_number": "179 982 6129", "age": 75, "sex": "Female", "address": "83 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0133"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "44.0", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "rising", "previous_value": "43.4", "previous_date": "2025-10-18", "fhir_resource_id": "obs-0133"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 133 (1951-03-05), NHS 179 982 6129\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 44.0 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 30.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0134", "demographics": {"name": "Patient 134", "dob": "1953-03-04", "nhs_number": "432 275 8538", "age": 73, "sex": "Male", "address": "98 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0134"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "30.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-17", "trend": "rising", "previous_value": "29.2", "previous_date": "2025-12-19", "fhir_resource_id": "obs-0134"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 134 (1953-03-04), NHS 432 275 8538\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 30.7 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 26.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0135", "demographics": {"name": "Patient 135", "dob": "1944-03-06", "nhs_number": "636 180 7484", "age": 82, "sex": "Female", "address": "49 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0135"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "26.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "falling", "previous_value": "27.9", "previous_date": "2025-12-02", "fhir_resource_id": "obs-0135"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 135 (1944-03-06), NHS 636 180 7484\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 26.5 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 11.4 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0136", "demographics": {"name": "Patient 136", "dob": "1949-03-05", "nhs_number": "643 622 4176", "age": 77, "sex": "Female", "address": "54 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0136"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "11.4", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-18", "trend": "falling", "previous_value": "13.5", "previous_date": "2025-12-12", "fhir_resource_id": "obs-0136"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 136 (1949-03-05), NHS 643 622 4176\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 11.4 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 27.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0137", "demographics": {"name": "Patient 137", "dob": "1992-02-23", "nhs_number": "256 878 2234", "age": 34, "sex": "Female", "address": "32 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0137"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "27.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2025-12-31", "trend": "rising", "previous_value": "22.5", "previous_date": "2025-10-28", "fhir_resource_id": "obs-0137"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 137 (1992-02-23), NHS 256 878 2234\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 27.7 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 66.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0138", "demographics": {"name": "Patient 138", "dob": "1950-03-05", "nhs_number": "758 750 6295", "age": 76, "sex": "Male", "address": "90 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0138"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "66.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "falling", "previous_value": "72.2", "previous_date": "2025-12-11", "fhir_resource_id": "obs-0138"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 138 (1950-03-05), NHS 758 750 6295\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 66.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 44.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0139", "demographics": {"name": "Patient 139", "dob": "1994-02-22", "nhs_number": "381 705 1920", "age": 32, "sex": "Male", "address": "55 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0139"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "44.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "rising", "previous_value": "41.3", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0139"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 139 (1994-02-22), NHS 381 705 1920\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 44.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 7.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0140", "demographics": {"name": "Patient 140", "dob": "1969-02-28", "nhs_number": "393 178 2479", "age": 57, "sex": "Male", "address": "88 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0140"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "7.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "rising", "previous_value": "5.8", "previous_date": "2025-10-27", "fhir_resource_id": "obs-0140"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 140 (1969-02-28), NHS 393 178 2479\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 7.9 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 45.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0141", "demographics": {"name": "Patient 141", "dob": "1969-02-28", "nhs_number": "767 292 6267", "age": 57, "sex": "Female", "address": "87 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0141"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "45.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-10", "trend": "falling", "previous_value": "50.2", "previous_date": "2025-10-27", "fhir_resource_id": "obs-0141"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 141 (1969-02-28), NHS 767 292 6267\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 45.2 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 13.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0142", "demographics": {"name": "Patient 142", "dob": "1995-02-22", "nhs_number": "451 831 2381", "age": 31, "sex": "Male", "address": "74 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0142"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "13.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-29", "trend": "falling", "previous_value": "20.3", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0142"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 142 (1995-02-22), NHS 451 831 2381\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 13.9 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 94.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0143", "demographics": {"name": "Patient 143", "dob": "1953-03-04", "nhs_number": "724 262 6962", "age": 73, "sex": "Male", "address": "57 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0143"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "94.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "falling", "previous_value": "94.6", "previous_date": "2025-11-11", "fhir_resource_id": "obs-0143"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 143 (1953-03-04), NHS 724 262 6962\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 94.2 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 65.9 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0144", "demographics": {"name": "Patient 144", "dob": "1949-03-05", "nhs_number": "746 762 6482", "age": 77, "sex": "Male", "address": "18 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0144"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "65.9", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "rising", "previous_value": "58.7", "previous_date": "2025-12-18", "fhir_resource_id": "obs-0144"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 144 (1949-03-05), NHS 746 762 6482\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 65.9 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 70.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0145", "demographics": {"name": "Patient 145", "dob": "1980-02-26", "nhs_number": "717 994 3463", "age": 46, "sex": "Male", "address": "52 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0145"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "70.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "falling", "previous_value": "72.5", "previous_date": "2025-10-17", "fhir_resource_id": "obs-0145"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 145 (1980-02-26), NHS 717 994 3463\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 70.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 92.1 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0146", "demographics": {"name": "Patient 146", "dob": "1976-02-27", "nhs_number": "501 232 2388", "age": 50, "sex": "Male", "address": "49 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0146"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "92.1", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "falling", "previous_value": "95.3", "previous_date": "2025-11-12", "fhir_resource_id": "obs-0146"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 146 (1976-02-27), NHS 501 232 2388\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 92.1 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 65.1 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0147", "demographics": {"name": "Patient 147", "dob": "1946-03-06", "nhs_number": "856 801 9624", "age": 80, "sex": "Female", "address": "21 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0147"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "65.1", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "falling", "previous_value": "70.4", "previous_date": "2025-10-26", "fhir_resource_id": "obs-0147"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 147 (1946-03-06), NHS 856 801 9624\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 65.1 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 32.5 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0148", "demographics": {"name": "Patient 148", "dob": "1997-02-21", "nhs_number": "449 884 8967", "age": 29, "sex": "Male", "address": "34 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0148"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "32.5", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "39.7", "previous_date": "2025-12-13", "fhir_resource_id": "obs-0148"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 148 (1997-02-21), NHS 449 884 8967\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 32.5 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 80.9 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0149", "demographics": {"name": "Patient 149", "dob": "1994-02-22", "nhs_number": "889 652 9626", "age": 32, "sex": "Male", "address": "14 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0149"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "80.9", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "rising", "previous_value": "74.5", "previous_date": "2025-12-14", "fhir_resource_id": "obs-0149"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 149 (1994-02-22), NHS 889 652 9626\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 80.9 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 20.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0150", "demographics": {"name": "Patient 150", "dob": "1989-02-23", "nhs_number": "739 928 3712", "age": 37, "sex": "Female", "address": "66 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0150"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "20.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-07", "trend": "falling", "previous_value": "24.0", "previous_date": "2025-11-08", "fhir_resource_id": "obs-0150"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 150 (1989-02-23), NHS 739 928 3712\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 20.9 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 92.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0151", "demographics": {"name": "Patient 151", "dob": "1955-03-04", "nhs_number": "870 866 8355", "age": 71, "sex": "Female", "address": "39 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0151"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "92.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "94.0", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0151"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 151 (1955-03-04), NHS 870 866 8355\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 92.2 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 86.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0152", "demographics": {"name": "Patient 152", "dob": "1947-03-06", "nhs_number": "794 684 8218", "age": 79, "sex": "Male", "address": "69 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0152"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "86.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "rising", "previous_value": "81.4", "previous_date": "2025-11-12", "fhir_resource_id": "obs-0152"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 152 (1947-03-06), NHS 794 684 8218\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 86.3 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 77.0 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0153", "demographics": {"name": "Patient 153", "dob": "1988-02-24", "nhs_number": "356 153 8873", "age": 38, "sex": "Female", "address": "57 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0153"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "77.0", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "71.2", "previous_date": "2025-12-17", "fhir_resource_id": "obs-0153"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 153 (1988-02-24), NHS 356 153 8873\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 77.0 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 73.6 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0154", "demographics": {"name": "Patient 154", "dob": "1980-02-26", "nhs_number": "625 250 8167", "age": 46, "sex": "Female", "address": "21 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0154"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "73.6", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "rising", "previous_value": "70.0", "previous_date": "2025-11-03", "fhir_resource_id": "obs-0154"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 154 (1980-02-26), NHS 625 250 8167\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 73.6 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 9.3 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0155", "demographics": {"name": "Patient 155", "dob": "1997-02-21", "nhs_number": "341 495 2337", "age": 29, "sex": "Male", "address": "57 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0155"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "9.3", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "9.3", "previous_date": "2025-12-27", "fhir_resource_id": "obs-0155"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 155 (1997-02-21), NHS 341 495 2337\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 9.3 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 76.1 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0156", "demographics": {"name": "Patient 156", "dob": "1992-02-23", "nhs_number": "393 949 8740", "age": 34, "sex": "Male", "address": "99 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0156"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "76.1", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "rising", "previous_value": "70.3", "previous_date": "2025-10-31", "fhir_resource_id": "obs-0156"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 156 (1992-02-23), NHS 393 949 8740\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 76.1 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 86.5 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0157", "demographics": {"name": "Patient 157", "dob": "1959-03-03", "nhs_number": "320 955 3449", "age": 67, "sex": "Female", "address": "80 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0157"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "86.5", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "rising", "previous_value": "78.8", "previous_date": "2025-10-24", "fhir_resource_id": "obs-0157"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 157 (1959-03-03), NHS 320 955 3449\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 86.5 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 26.0 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0158", "demographics": {"name": "Patient 158", "dob": "1991-02-23", "nhs_number": "344 529 8489", "age": 35, "sex": "Male", "address": "18 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0158"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "26.0", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "19.9", "previous_date": "2025-10-28", "fhir_resource_id": "obs-0158"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 158 (1991-02-23), NHS 344 529 8489\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 26.0 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 69.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0159", "demographics": {"name": "Patient 159", "dob": "1958-03-03", "nhs_number": "101 729 6780", "age": 68, "sex": "Female", "address": "40 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0159"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "69.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-04", "trend": "rising", "previous_value": "66.2", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0159"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 159 (1958-03-03), NHS 101 729 6780\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 69.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 51.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0160", "demographics": {"name": "Patient 160", "dob": "1956-03-03", "nhs_number": "638 657 9312", "age": 70, "sex": "Female", "address": "74 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0160"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "51.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "49.7", "previous_date": "2025-12-28", "fhir_resource_id": "obs-0160"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 160 (1956-03-03), NHS 638 657 9312\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 51.9 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 62.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0161", "demographics": {"name": "Patient 161", "dob": "1968-02-29", "nhs_number": "359 865 1266", "age": 58, "sex": "Female", "address": "55 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0161"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "62.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-05", "trend": "falling", "previous_value": "69.7", "previous_date": "2025-11-16", "fhir_resource_id": "obs-0161"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 161 (1968-02-29), NHS 359 865 1266\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 62.0 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 74.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0162", "demographics": {"name": "Patient 162", "dob": "1952-03-04", "nhs_number": "440 236 1726", "age": 74, "sex": "Female", "address": "55 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0162"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "74.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "78.1", "previous_date": "2025-11-17", "fhir_resource_id": "obs-0162"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 162 (1952-03-04), NHS 440 236 1726\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 74.3 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 93.3 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0163", "demographics": {"name": "Patient 163", "dob": "1945-03-06", "nhs_number": "286 930 3209", "age": 81, "sex": "Male", "address": "18 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0163"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "93.3", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "93.0", "previous_date": "2025-12-26", "fhir_resource_id": "obs-0163"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 163 (1945-03-06), NHS 286 930 3209\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 93.3 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 76.1 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0164", "demographics": {"name": "Patient 164", "dob": "1986-02-24", "nhs_number": "423 417 9444", "age": 40, "sex": "Female", "address": "60 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0164"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "76.1", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "82.3", "previous_date": "2025-10-31", "fhir_resource_id": "obs-0164"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 164 (1986-02-24), NHS 423 417 9444\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 76.1 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 30.4 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0165", "demographics": {"name": "Patient 165", "dob": "1996-02-22", "nhs_number": "148 986 6438", "age": 30, "sex": "Female", "address": "44 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0165"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "30.4", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "falling", "previous_value": "36.2", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0165"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 165 (1996-02-22), NHS 148 986 6438\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 30.4 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 85.5 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0166", "demographics": {"name": "Patient 166", "dob": "1973-02-27", "nhs_number": "291 608 9151", "age": 53, "sex": "Male", "address": "57 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0166"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "85.5", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "rising", "previous_value": "83.7", "previous_date": "2025-11-26", "fhir_resource_id": "obs-0166"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 166 (1973-02-27), NHS 291 608 9151\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 85.5 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 11.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0167", "demographics": {"name": "Patient 167", "dob": "1952-03-04", "nhs_number": "942 284 9937", "age": 74, "sex": "Male", "address": "47 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0167"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "11.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "falling", "previous_value": "13.2", "previous_date": "2025-12-17", "fhir_resource_id": "obs-0167"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 167 (1952-03-04), NHS 942 284 9937\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 11.6 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 32.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0168", "demographics": {"name": "Patient 168", "dob": "1978-02-26", "nhs_number": "536 270 8272", "age": 48, "sex": "Male", "address": "54 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0168"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "32.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "falling", "previous_value": "33.8", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0168"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 168 (1978-02-26), NHS 536 270 8272\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 32.2 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 29.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0169", "demographics": {"name": "Patient 169", "dob": "1959-03-03", "nhs_number": "158 176 7655", "age": 67, "sex": "Male", "address": "56 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0169"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "29.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "falling", "previous_value": "37.0", "previous_date": "2025-12-10", "fhir_resource_id": "obs-0169"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 169 (1959-03-03), NHS 158 176 7655\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 29.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 7.6 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0170", "demographics": {"name": "Patient 170", "dob": "1989-02-23", "nhs_number": "897 760 7001", "age": 37, "sex": "Male", "address": "56 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0170"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "7.6", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "rising", "previous_value": "0.7", "previous_date": "2025-10-19", "fhir_resource_id": "obs-0170"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 170 (1989-02-23), NHS 897 760 7001\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 7.6 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 66.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0171", "demographics": {"name": "Patient 171", "dob": "1960-03-02", "nhs_number": "480 554 2259", "age": 66, "sex": "Female", "address": "83 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0171"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "66.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "falling", "previous_value": "73.2", "previous_date": "2025-10-24", "fhir_resource_id": "obs-0171"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 171 (1960-03-02), NHS 480 554 2259\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 66.0 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 63.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0172", "demographics": {"name": "Patient 172", "dob": "1973-02-27", "nhs_number": "216 126 4048", "age": 53, "sex": "Male", "address": "73 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0172"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "63.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "rising", "previous_value": "59.3", "previous_date": "2025-11-11", "fhir_resource_id": "obs-0172"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 172 (1973-02-27), NHS 216 126 4048\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 63.3 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 68.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0173", "demographics": {"name": "Patient 173", "dob": "1982-02-25", "nhs_number": "726 392 9047", "age": 44, "sex": "Male", "address": "35 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0173"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "68.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "63.6", "previous_date": "2025-12-13", "fhir_resource_id": "obs-0173"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 173 (1982-02-25), NHS 726 392 9047\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 68.2 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 85.8 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0174", "demographics": {"name": "Patient 174", "dob": "1970-02-28", "nhs_number": "189 929 6236", "age": 56, "sex": "Female", "address": "95 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0174"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "85.8", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-18", "trend": "rising", "previous_value": "84.9", "previous_date": "2025-12-22", "fhir_resource_id": "obs-0174"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 174 (1970-02-28), NHS 189 929 6236\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 85.8 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 68.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0175", "demographics": {"name": "Patient 175", "dob": "1979-02-26", "nhs_number": "753 278 6922", "age": 47, "sex": "Female", "address": "75 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0175"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "68.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "75.7", "previous_date": "2025-12-15", "fhir_resource_id": "obs-0175"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 175 (1979-02-26), NHS 753 278 6922\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 68.9 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 25.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0176", "demographics": {"name": "Patient 176", "dob": "1948-03-05", "nhs_number": "469 667 7044", "age": 78, "sex": "Female", "address": "69 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0176"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "25.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "25.8", "previous_date": "2025-12-14", "fhir_resource_id": "obs-0176"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 176 (1948-03-05), NHS 469 667 7044\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 25.9 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 40.5 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0177", "demographics": {"name": "Patient 177", "dob": "1994-02-22", "nhs_number": "590 638 7730", "age": 32, "sex": "Male", "address": "62 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0177"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "40.5", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-04", "trend": "falling", "previous_value": "44.0", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0177"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 177 (1994-02-22), NHS 590 638 7730\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 40.5 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 45.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0178", "demographics": {"name": "Patient 178", "dob": "1978-02-26", "nhs_number": "452 231 3981", "age": 48, "sex": "Female", "address": "26 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0178"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "45.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "falling", "previous_value": "48.1", "previous_date": "2025-10-27", "fhir_resource_id": "obs-0178"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 178 (1978-02-26), NHS 452 231 3981\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 45.2 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 51.4 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0179", "demographics": {"name": "Patient 179", "dob": "1945-03-06", "nhs_number": "265 430 4694", "age": 81, "sex": "Female", "address": "54 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0179"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "51.4", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "rising", "previous_value": "48.3", "previous_date": "2025-11-24", "fhir_resource_id": "obs-0179"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 179 (1945-03-06), NHS 265 430 4694\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 51.4 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 62.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0180", "demographics": {"name": "Patient 180", "dob": "1982-02-25", "nhs_number": "228 740 5961", "age": 44, "sex": "Female", "address": "88 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0180"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "62.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "62.8", "previous_date": "2025-12-19", "fhir_resource_id": "obs-0180"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 180 (1982-02-25), NHS 228 740 5961\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 62.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 20.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0181", "demographics": {"name": "Patient 181", "dob": "1961-03-02", "nhs_number": "719 445 1674", "age": 65, "sex": "Female", "address": "13 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0181"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "20.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "falling", "previous_value": "22.0", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0181"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 181 (1961-03-02), NHS 719 445 1674\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 20.0 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 73.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0182", "demographics": {"name": "Patient 182", "dob": "1957-03-03", "nhs_number": "754 131 9159", "age": 69, "sex": "Female", "address": "90 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0182"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "73.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "72.6", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0182"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 182 (1957-03-03), NHS 754 131 9159\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 73.9 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 77.3 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0183", "demographics": {"name": "Patient 183", "dob": "1968-02-29", "nhs_number": "404 564 2195", "age": 58, "sex": "Female", "address": "98 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0183"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "77.3", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-06", "trend": "falling", "previous_value": "80.3", "previous_date": "2025-12-10", "fhir_resource_id": "obs-0183"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 183 (1968-02-29), NHS 404 564 2195\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 77.3 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 46.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0184", "demographics": {"name": "Patient 184", "dob": "1972-02-28", "nhs_number": "247 420 6231", "age": 54, "sex": "Male", "address": "54 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0184"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "46.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "rising", "previous_value": "43.9", "previous_date": "2025-12-14", "fhir_resource_id": "obs-0184"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 184 (1972-02-28), NHS 247 420 6231\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 46.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 33.4 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0185", "demographics": {"name": "Patient 185", "dob": "1966-03-01", "nhs_number": "373 560 5061", "age": 60, "sex": "Female", "address": "28 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0185"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "33.4", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-03", "trend": "rising", "previous_value": "32.9", "previous_date": "2025-12-24", "fhir_resource_id": "obs-0185"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 185 (1966-03-01), NHS 373 560 5061\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 33.4 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 27.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0186", "demographics": {"name": "Patient 186", "dob": "1974-02-27", "nhs_number": "263 933 6364", "age": 52, "sex": "Male", "address": "83 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0186"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "27.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "falling", "previous_value": "32.8", "previous_date": "2025-12-06", "fhir_resource_id": "obs-0186"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 186 (1974-02-27), NHS 263 933 6364\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 27.0 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 49.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0187", "demographics": {"name": "Patient 187", "dob": "1967-03-01", "nhs_number": "123 192 7442", "age": 59, "sex": "Male", "address": "74 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0187"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "49.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "46.5", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0187"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 187 (1967-03-01), NHS 123 192 7442\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 49.6 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 8.9 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0188", "demographics": {"name": "Patient 188", "dob": "1961-03-02", "nhs_number": "711 963 8710", "age": 65, "sex": "Male", "address": "46 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0188"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "8.9", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "5.4", "previous_date": "2025-12-29", "fhir_resource_id": "obs-0188"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 188 (1961-03-02), NHS 711 963 8710\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 8.9 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 84.4 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0189", "demographics": {"name": "Patient 189", "dob": "1971-02-28", "nhs_number": "882 512 6995", "age": 55, "sex": "Female", "address": "15 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0189"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "84.4", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "falling", "previous_value": "88.0", "previous_date": "2025-12-24", "fhir_resource_id": "obs-0189"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 189 (1971-02-28), NHS 882 512 6995\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 84.4 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 11.2 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0190", "demographics": {"name": "Patient 190", "dob": "1975-02-27", "nhs_number": "882 663 5582", "age": 51, "sex": "Male", "address": "89 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0190"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "11.2", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-01", "trend": "falling", "previous_value": "11.3", "previous_date": "2025-12-15", "fhir_resource_id": "obs-0190"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 190 (1975-02-27), NHS 882 663 5582\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 11.2 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 38.3 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0191", "demographics": {"name": "Patient 191", "dob": "1992-02-23", "nhs_number": "671 474 3363", "age": 34, "sex": "Male", "address": "35 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0191"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "38.3", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "falling", "previous_value": "46.1", "previous_date": "2025-10-26", "fhir_resource_id": "obs-0191"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 191 (1992-02-23), NHS 671 474 3363\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 38.3 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 8.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0192", "demographics": {"name": "Patient 192", "dob": "1966-03-01", "nhs_number": "441 923 8761", "age": 60, "sex": "Female", "address": "76 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0192"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "8.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "2.8", "previous_date": "2025-12-11", "fhir_resource_id": "obs-0192"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 192 (1966-03-01), NHS 441 923 8761\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 8.6 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 19.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0193", "demographics": {"name": "Patient 193", "dob": "1978-02-26", "nhs_number": "857 962 5902", "age": 48, "sex": "Male", "address": "85 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0193"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "19.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "falling", "previous_value": "27.0", "previous_date": "2025-10-27", "fhir_resource_id": "obs-0193"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 193 (1978-02-26), NHS 857 962 5902\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 19.2 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 47.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0194", "demographics": {"name": "Patient 194", "dob": "1953-03-04", "nhs_number": "439 789 2795", "age": 73, "sex": "Male", "address": "63 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0194"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "47.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-03", "trend": "rising", "previous_value": "39.8", "previous_date": "2025-11-21", "fhir_resource_id": "obs-0194"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 194 (1953-03-04), NHS 439 789 2795\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 47.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 28.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0195", "demographics": {"name": "Patient 195", "dob": "1960-03-02", "nhs_number": "894 692 4728", "age": 66, "sex": "Male", "address": "16 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0195"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "28.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-03", "trend": "falling", "previous_value": "31.0", "previous_date": "2025-10-30", "fhir_resource_id": "obs-0195"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 195 (1960-03-02), NHS 894 692 4728\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 28.5 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 17.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0196", "demographics": {"name": "Patient 196", "dob": "1965-03-01", "nhs_number": "132 686 2800", "age": 61, "sex": "Male", "address": "34 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0196"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "17.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-08", "trend": "falling", "previous_value": "20.8", "previous_date": "2025-11-04", "fhir_resource_id": "obs-0196"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 196 (1965-03-01), NHS 132 686 2800\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 17.9 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 41.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0197", "demographics": {"name": "Patient 197", "dob": "1972-02-28", "nhs_number": "613 893 8726", "age": 54, "sex": "Female", "address": "17 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0197"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "41.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "rising", "previous_value": "37.2", "previous_date": "2025-10-25", "fhir_resource_id": "obs-0197"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 197 (1972-02-28), NHS 613 893 8726\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 41.9 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 94.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0198", "demographics": {"name": "Patient 198", "dob": "1963-03-02", "nhs_number": "485 421 3837", "age": 63, "sex": "Male", "address": "68 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0198"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "94.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "94.5", "previous_date": "2025-11-17", "fhir_resource_id": "obs-0198"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 198 (1963-03-02), NHS 485 421 3837\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 94.8 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 59.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0199", "demographics": {"name": "Patient 199", "dob": "1955-03-04", "nhs_number": "352 385 5890", "age": 71, "sex": "Male", "address": "38 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0199"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "59.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "rising", "previous_value": "54.8", "previous_date": "2025-11-24", "fhir_resource_id": "obs-0199"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 199 (1955-03-04), NHS 352 385 5890\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 59.7 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 33.2 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0200", "demographics": {"name": "Patient 200", "dob": "1954-03-04", "nhs_number": "914 838 5480", "age": 72, "sex": "Male", "address": "46 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0200"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "33.2", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "30.8", "previous_date": "2025-10-18", "fhir_resource_id": "obs-0200"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 200 (1954-03-04), NHS 914 838 5480\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 33.2 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} diff --git a/clarke/evaluation/eval_doc_gen.py b/clarke/evaluation/eval_doc_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/evaluation/eval_doc_gen.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/evaluation/eval_ehr_agent.py b/clarke/evaluation/eval_ehr_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/evaluation/eval_ehr_agent.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/evaluation/eval_medasr.py b/clarke/evaluation/eval_medasr.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/evaluation/eval_medasr.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/evaluation/gold_standards/.keep.json b/clarke/evaluation/gold_standards/.keep.json new file mode 100644 index 0000000000000000000000000000000000000000..0967ef424bce6791893e9a57bb952f80fd536e93 --- /dev/null +++ b/clarke/evaluation/gold_standards/.keep.json @@ -0,0 +1 @@ +{} diff --git a/clarke/evaluation_report.md b/clarke/evaluation_report.md new file mode 100644 index 0000000000000000000000000000000000000000..dcf2c804da5e19d617a03a6c68aa128d1d1f89a0 --- /dev/null +++ b/clarke/evaluation_report.md @@ -0,0 +1 @@ +# Placeholder diff --git a/clarke/finetuning/generate_training_data.py b/clarke/finetuning/generate_training_data.py new file mode 100644 index 0000000000000000000000000000000000000000..6973f7e7af752f08d8e4fe2046e13e5604da9e06 --- /dev/null +++ b/clarke/finetuning/generate_training_data.py @@ -0,0 +1,459 @@ +"""Generate synthetic transcript-context-letter triplets for Clarke fine-tuning.""" + +from __future__ import annotations + +import argparse +import json +import os +import random +from dataclasses import dataclass +from datetime import datetime, timedelta +from pathlib import Path +from typing import Any + +import httpx +from loguru import logger + + +LOGGER = logger.bind(component="generate_training_data") +DEFAULT_TOTAL_SAMPLES = 250 +DEFAULT_TRAIN_SPLIT = 200 +DEFAULT_REVIEW_SAMPLES = 20 + + +@dataclass(frozen=True) +class ScenarioTemplate: + """Structured template describing one synthetic clinic scenario. + + Args: + specialty: Clinical specialty bucket. + diagnosis: Primary diagnosis for the context problem list. + presenting_issue: Main concern discussed in the transcript. + medication: Typical medication and dose string. + lab_name: Representative lab or clinical metric name. + lab_unit: Unit for the representative metric. + follow_up: Follow-up recommendation sentence fragment. + + Returns: + ScenarioTemplate: Immutable scenario descriptor. + """ + + specialty: str + diagnosis: str + presenting_issue: str + medication: str + lab_name: str + lab_unit: str + follow_up: str + + +SCENARIO_TEMPLATES: list[ScenarioTemplate] = [ + ScenarioTemplate( + specialty="Diabetes & Endocrinology", + diagnosis="Type 2 Diabetes Mellitus", + presenting_issue="rising blood glucose readings and afternoon fatigue", + medication="Metformin 1g BD", + lab_name="HbA1c", + lab_unit="mmol/mol", + follow_up="repeat blood tests and review in 3 months", + ), + ScenarioTemplate( + specialty="Cardiology", + diagnosis="Stable Angina", + presenting_issue="intermittent exertional chest discomfort", + medication="Atorvastatin 40mg nocte", + lab_name="Troponin", + lab_unit="ng/L", + follow_up="home blood pressure diary and cardiology follow-up in 8 weeks", + ), + ScenarioTemplate( + specialty="Respiratory Medicine", + diagnosis="Moderate Persistent Asthma", + presenting_issue="frequent reliever inhaler use and night symptoms", + medication="Budesonide/Formoterol 200/6mcg BD", + lab_name="Peak Flow", + lab_unit="L/min", + follow_up="inhaler technique check and review in 6 weeks", + ), + ScenarioTemplate( + specialty="Heart Failure Clinic", + diagnosis="Heart Failure with Reduced Ejection Fraction", + presenting_issue="breathlessness on exertion and ankle swelling", + medication="Furosemide 40mg OD", + lab_name="BNP", + lab_unit="pg/mL", + follow_up="daily weight monitoring and heart failure nurse review in 4 weeks", + ), + ScenarioTemplate( + specialty="Mental Health", + diagnosis="Major Depressive Disorder", + presenting_issue="low mood, poor sleep, and reduced motivation", + medication="Sertraline 100mg OD", + lab_name="PHQ-9", + lab_unit="score", + follow_up="continue psychological support and reassess in 4 weeks", + ), +] + + +def _iso_date(days_offset: int) -> str: + """Build an ISO calendar date relative to now. + + Args: + days_offset: Integer day offset from current UTC date. + + Returns: + str: Date formatted as YYYY-MM-DD. + """ + + return (datetime.utcnow() + timedelta(days=days_offset)).date().isoformat() + + +def _build_context(sample_id: int, template: ScenarioTemplate, rng: random.Random) -> dict[str, Any]: + """Create a PatientContext-like JSON payload for one sample. + + Args: + sample_id: Numeric identifier for deterministic IDs. + template: Scenario template to instantiate. + rng: Random generator used for reproducible values. + + Returns: + dict[str, Any]: Synthetic PatientContext dictionary. + """ + + patient_id = f"syn-{sample_id:04d}" + age = rng.randint(28, 82) + sex = rng.choice(["Female", "Male"]) + lab_value = round(rng.uniform(4.5, 95.0), 1) + previous_value = max(0.1, round(lab_value + rng.uniform(-8.0, 8.0), 1)) + trend = "rising" if lab_value > previous_value else "falling" + + return { + "patient_id": patient_id, + "demographics": { + "name": f"Patient {sample_id}", + "dob": _iso_date(-age * 365), + "nhs_number": f"{rng.randint(100, 999)} {rng.randint(100, 999)} {rng.randint(1000, 9999)}", + "age": age, + "sex": sex, + "address": f"{rng.randint(10, 99)} Example Street, London", + "specialty": template.specialty, + }, + "problem_list": [ + f"{template.diagnosis} (active)", + "Hypertension (active)", + ], + "medications": [ + { + "name": template.medication.split()[0], + "dose": " ".join(template.medication.split()[1:]), + "frequency": "As directed", + "fhir_id": f"med-{sample_id:04d}", + } + ], + "allergies": [ + { + "substance": "Penicillin", + "reaction": "Rash", + "severity": "moderate", + } + ], + "recent_labs": [ + { + "name": template.lab_name, + "value": str(lab_value), + "unit": template.lab_unit, + "reference_range": "See local lab guidance", + "date": _iso_date(-rng.randint(5, 45)), + "trend": trend, + "previous_value": str(previous_value), + "previous_date": _iso_date(-rng.randint(46, 120)), + "fhir_resource_id": f"obs-{sample_id:04d}", + } + ], + "recent_imaging": [], + "clinical_flags": [f"{template.lab_name} trend is {trend}"], + "last_letter_excerpt": "Patient remained clinically stable at last review.", + "retrieval_warnings": [], + "retrieved_at": datetime.utcnow().isoformat(timespec="seconds") + "Z", + } + + +def _build_transcript(template: ScenarioTemplate, context: dict[str, Any], rng: random.Random) -> str: + """Compose a consultation transcript with realistic clinic dialogue content. + + Args: + template: Scenario template with clinical focus terms. + context: Context dictionary used for factual alignment. + rng: Random generator used for variant phrases. + + Returns: + str: Multi-sentence transcript around 170–230 words. + """ + + openings = [ + "Clinician: Thanks for coming in today, let's review how you've been since the last appointment.", + "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps.", + ] + symptom_detail = ( + f"Patient: I have noticed {template.presenting_issue}, and it has been affecting my daily routine over the past few weeks." + ) + lab_name = context["recent_labs"][0]["name"] + lab_value = context["recent_labs"][0]["value"] + medication = template.medication + + segments = [ + rng.choice(openings), + symptom_detail, + ( + f"Clinician: Your {lab_name} result is {lab_value} {template.lab_unit}; compared with your previous reading, we need tighter control." + ), + ( + f"Clinician: We'll continue {medication}, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep." + ), + "Patient: I understand, and I would appreciate a clear written plan so I can follow it at home.", + ( + f"Clinician: We agreed on safety-net advice, warning symptoms, and we will {template.follow_up}." + ), + "Clinician: I have answered your questions and will send a summary letter to your GP today.", + ] + + base_text = " ".join(segments) + filler = ( + " We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care " + "if red-flag symptoms worsen before the next clinic review." + ) + while len(base_text.split()) < 170: + base_text += filler + + return base_text + + +def _build_reference_letter(template: ScenarioTemplate, context: dict[str, Any], transcript: str) -> str: + """Render a concise NHS-style reference clinic letter. + + Args: + template: Scenario template defining clinical domain. + context: Context dictionary containing aligned facts. + transcript: Transcript text for summary grounding. + + Returns: + str: Reference letter body. + """ + + demographics = context["demographics"] + lab = context["recent_labs"][0] + summary_line = " ".join(transcript.split()[:28]) + return ( + f"Dear GP,\n\n" + f"Re: {demographics['name']} ({demographics['dob']}), NHS {demographics['nhs_number']}\n\n" + f"Diagnosis: {template.diagnosis}.\n" + f"Today the patient described {template.presenting_issue}." + f" Their latest {lab['name']} was {lab['value']} {lab['unit']} ({lab['trend']}).\n" + f"Medication plan: continue {template.medication} with adherence reinforcement.\n" + f"Follow-up: {template.follow_up}.\n" + f"Consultation summary excerpt: {summary_line}...\n\n" + "Yours sincerely,\n" + "Dr. Sarah Chen\n" + "Consultant" + ) + + +def _call_llm_for_triplet( + client: httpx.Client, + model: str, + api_key: str, + template: ScenarioTemplate, +) -> dict[str, Any] | None: + """Attempt one external LLM call for a synthetic triplet. + + Args: + client: HTTPX client for API communication. + model: Model name for OpenAI-compatible endpoint. + api_key: API key credential. + template: Scenario template guiding prompt content. + + Returns: + dict[str, Any] | None: Parsed triplet dictionary or None if call failed/invalid. + """ + + prompt = ( + "Generate one JSON object with keys transcript, context, reference_letter for an NHS clinic follow-up. " + "The transcript should be about 200 words and the context should align factually. " + f"Specialty: {template.specialty}; diagnosis: {template.diagnosis}; medication: {template.medication}." + ) + try: + response = client.post( + "https://api.openai.com/v1/chat/completions", + headers={"Authorization": f"Bearer {api_key}"}, + json={ + "model": model, + "messages": [{"role": "user", "content": prompt}], + "temperature": 0.8, + }, + timeout=30.0, + ) + response.raise_for_status() + content = response.json()["choices"][0]["message"]["content"] + parsed = json.loads(content) + if isinstance(parsed, dict): + return parsed + except (httpx.HTTPError, json.JSONDecodeError, KeyError) as error: + LOGGER.warning("LLM generation failed, falling back to template", error=str(error)) + return None + + +def generate_triplets(total_samples: int, seed: int = 42) -> list[dict[str, Any]]: + """Generate synthetic triplets using API-assisted or template-only mode. + + Args: + total_samples: Number of triplets to generate. + seed: Random seed for reproducibility. + + Returns: + list[dict[str, Any]]: Generated triplet records. + """ + + rng = random.Random(seed) + records: list[dict[str, Any]] = [] + api_key = os.getenv("OPENAI_API_KEY", "") + model_name = os.getenv("TRAINING_DATA_MODEL", "gpt-4o-mini") + use_api = bool(api_key) + + with httpx.Client() as client: + for idx in range(1, total_samples + 1): + template = SCENARIO_TEMPLATES[(idx - 1) % len(SCENARIO_TEMPLATES)] + candidate = None + if use_api: + candidate = _call_llm_for_triplet(client, model_name, api_key, template) + if candidate is None: + context = _build_context(idx, template, rng) + transcript = _build_transcript(template, context, rng) + letter = _build_reference_letter(template, context, transcript) + candidate = { + "transcript": transcript, + "context": context, + "reference_letter": letter, + } + records.append(candidate) + return records + + +def write_jsonl(records: list[dict[str, Any]], output_path: Path) -> None: + """Write records to a JSONL file. + + Args: + records: List of JSON-serializable dictionaries. + output_path: Destination JSONL file path. + + Returns: + None: Function writes file in place. + """ + + output_path.parent.mkdir(parents=True, exist_ok=True) + with output_path.open("w", encoding="utf-8") as handle: + for record in records: + handle.write(json.dumps(record, ensure_ascii=False) + "\n") + + +def review_quality(records: list[dict[str, Any]], sample_size: int, seed: int = 99) -> tuple[bool, list[str]]: + """Run lightweight quality checks over a random subset of records. + + Args: + records: Generated records to inspect. + sample_size: Number of records to review. + seed: Random seed for deterministic review picks. + + Returns: + tuple[bool, list[str]]: Pass flag and list of failure messages. + """ + + failures: list[str] = [] + rng = random.Random(seed) + indices = rng.sample(range(len(records)), k=min(sample_size, len(records))) + + for index in indices: + record = records[index] + if not {"transcript", "context", "reference_letter"}.issubset(record.keys()): + failures.append(f"sample {index + 1}: missing required keys") + continue + word_count = len(record["transcript"].split()) + if word_count < 150: + failures.append(f"sample {index + 1}: transcript too short ({word_count} words)") + context = record["context"] + if not context.get("problem_list") or not context.get("medications"): + failures.append(f"sample {index + 1}: incomplete context clinical data") + if "Dear GP" not in record["reference_letter"]: + failures.append(f"sample {index + 1}: letter missing NHS salutation") + + return (len(failures) == 0, failures) + + +def parse_args() -> argparse.Namespace: + """Parse command-line arguments for training data generation. + + Args: + None: Values are read from CLI. + + Returns: + argparse.Namespace: Parsed options namespace. + """ + + parser = argparse.ArgumentParser(description="Generate synthetic fine-tuning triplets for Clarke") + parser.add_argument("--total", type=int, default=DEFAULT_TOTAL_SAMPLES, help="Total samples to generate") + parser.add_argument("--train-size", type=int, default=DEFAULT_TRAIN_SPLIT, help="Number of training samples") + parser.add_argument("--seed", type=int, default=42, help="Random seed") + parser.add_argument( + "--output-dir", + type=Path, + default=Path("clarke/data/training"), + help="Directory for train/test JSONL outputs", + ) + parser.add_argument( + "--review-samples", + type=int, + default=DEFAULT_REVIEW_SAMPLES, + help="Number of random samples for quality review", + ) + return parser.parse_args() + + +def main() -> int: + """Generate, split, validate, and save fine-tuning triplet datasets. + + Args: + None: Uses parsed command-line arguments. + + Returns: + int: Process exit code (0 success, 1 validation failure). + """ + + args = parse_args() + if args.train_size >= args.total: + LOGGER.error("Train size must be smaller than total sample count") + return 1 + + LOGGER.info("Generating synthetic triplets", total=args.total, train_size=args.train_size) + records = generate_triplets(args.total, seed=args.seed) + train_records = records[: args.train_size] + test_records = records[args.train_size :] + + write_jsonl(train_records, args.output_dir / "train.jsonl") + write_jsonl(test_records, args.output_dir / "test.jsonl") + + quality_pass, failures = review_quality(records, sample_size=args.review_samples) + if not quality_pass: + LOGGER.error("Quality review failed", failures=failures) + return 1 + + LOGGER.info( + "Training data generation complete", + train_count=len(train_records), + test_count=len(test_records), + output_dir=str(args.output_dir), + ) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/clarke/finetuning/merge_adapter.py b/clarke/finetuning/merge_adapter.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/finetuning/merge_adapter.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/finetuning/train_lora.py b/clarke/finetuning/train_lora.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/finetuning/train_lora.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/frontend/__init__.py b/clarke/frontend/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4c66197045c6e35ed98aff6b2a2d011e5d88e5a8 --- /dev/null +++ b/clarke/frontend/__init__.py @@ -0,0 +1 @@ +"""Package initializer.""" diff --git a/clarke/frontend/assets/clarke_logo.svg b/clarke/frontend/assets/clarke_logo.svg new file mode 100644 index 0000000000000000000000000000000000000000..714efc7ef0b66d7c5ef2a291b6c2f8411ac1b631 --- /dev/null +++ b/clarke/frontend/assets/clarke_logo.svg @@ -0,0 +1 @@ + diff --git a/clarke/frontend/assets/favicon.ico b/clarke/frontend/assets/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/clarke/frontend/assets/style.css b/clarke/frontend/assets/style.css new file mode 100644 index 0000000000000000000000000000000000000000..749268a3d97d1c003f9eccca9e69248fa0024476 --- /dev/null +++ b/clarke/frontend/assets/style.css @@ -0,0 +1 @@ +/* Placeholder CSS */ diff --git a/clarke/frontend/components.py b/clarke/frontend/components.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/frontend/components.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/frontend/state.py b/clarke/frontend/state.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/frontend/state.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/frontend/theme.py b/clarke/frontend/theme.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/frontend/theme.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/frontend/ui.py b/clarke/frontend/ui.py new file mode 100644 index 0000000000000000000000000000000000000000..d19b17a207ecb51113184bf347effe1a83c8755a --- /dev/null +++ b/clarke/frontend/ui.py @@ -0,0 +1 @@ +"""Placeholder module.""" diff --git a/clarke/requirements.txt b/clarke/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..dcf2c804da5e19d617a03a6c68aa128d1d1f89a0 --- /dev/null +++ b/clarke/requirements.txt @@ -0,0 +1 @@ +# Placeholder diff --git a/clarke/scripts/health_check.sh b/clarke/scripts/health_check.sh new file mode 100755 index 0000000000000000000000000000000000000000..c6369ffd80e7383ff6be185e65909dc6bdfd9164 --- /dev/null +++ b/clarke/scripts/health_check.sh @@ -0,0 +1,2 @@ +#!/bin/bash +# Placeholder script diff --git a/clarke/scripts/setup_fhir.sh b/clarke/scripts/setup_fhir.sh new file mode 100755 index 0000000000000000000000000000000000000000..c6369ffd80e7383ff6be185e65909dc6bdfd9164 --- /dev/null +++ b/clarke/scripts/setup_fhir.sh @@ -0,0 +1,2 @@ +#!/bin/bash +# Placeholder script diff --git a/clarke/scripts/start.sh b/clarke/scripts/start.sh new file mode 100755 index 0000000000000000000000000000000000000000..c6369ffd80e7383ff6be185e65909dc6bdfd9164 --- /dev/null +++ b/clarke/scripts/start.sh @@ -0,0 +1,2 @@ +#!/bin/bash +# Placeholder script diff --git a/clarke/submission_checklist.md b/clarke/submission_checklist.md new file mode 100644 index 0000000000000000000000000000000000000000..dcf2c804da5e19d617a03a6c68aa128d1d1f89a0 --- /dev/null +++ b/clarke/submission_checklist.md @@ -0,0 +1 @@ +# Placeholder diff --git a/clarke/tests/test_api.py b/clarke/tests/test_api.py new file mode 100644 index 0000000000000000000000000000000000000000..5c8fce4c65efdf4f971f85634fe26ccb6006df5b --- /dev/null +++ b/clarke/tests/test_api.py @@ -0,0 +1 @@ +"""Placeholder tests.""" diff --git a/clarke/tests/test_doc_generator.py b/clarke/tests/test_doc_generator.py new file mode 100644 index 0000000000000000000000000000000000000000..5c8fce4c65efdf4f971f85634fe26ccb6006df5b --- /dev/null +++ b/clarke/tests/test_doc_generator.py @@ -0,0 +1 @@ +"""Placeholder tests.""" diff --git a/clarke/tests/test_e2e.py b/clarke/tests/test_e2e.py new file mode 100644 index 0000000000000000000000000000000000000000..5c8fce4c65efdf4f971f85634fe26ccb6006df5b --- /dev/null +++ b/clarke/tests/test_e2e.py @@ -0,0 +1 @@ +"""Placeholder tests.""" diff --git a/clarke/tests/test_ehr_agent.py b/clarke/tests/test_ehr_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..5c8fce4c65efdf4f971f85634fe26ccb6006df5b --- /dev/null +++ b/clarke/tests/test_ehr_agent.py @@ -0,0 +1 @@ +"""Placeholder tests.""" diff --git a/clarke/tests/test_fhir_client.py b/clarke/tests/test_fhir_client.py new file mode 100644 index 0000000000000000000000000000000000000000..5c8fce4c65efdf4f971f85634fe26ccb6006df5b --- /dev/null +++ b/clarke/tests/test_fhir_client.py @@ -0,0 +1 @@ +"""Placeholder tests.""" diff --git a/clarke/tests/test_generate_training_data.py b/clarke/tests/test_generate_training_data.py new file mode 100644 index 0000000000000000000000000000000000000000..9f56a316bc088361d5f258706ca75f053894ba1d --- /dev/null +++ b/clarke/tests/test_generate_training_data.py @@ -0,0 +1,43 @@ +"""Tests for synthetic training data generation.""" + +import importlib.util +import json +import sys +from pathlib import Path + +MODULE_PATH = Path(__file__).resolve().parents[1] / "finetuning" / "generate_training_data.py" +SPEC = importlib.util.spec_from_file_location("generate_training_data", MODULE_PATH) +MODULE = importlib.util.module_from_spec(SPEC) +assert SPEC and SPEC.loader +sys.modules[SPEC.name] = MODULE +SPEC.loader.exec_module(MODULE) + + +def test_generate_triplets_has_required_schema() -> None: + """Ensure generated records include required fields and minimum transcript length.""" + + records = MODULE.generate_triplets(total_samples=5, seed=7) + assert len(records) == 5 + + for record in records: + assert {"transcript", "context", "reference_letter"}.issubset(record.keys()) + assert len(record["transcript"].split()) >= 150 + assert "patient_id" in record["context"] + + +def test_write_jsonl_and_quality_review(tmp_path: Path) -> None: + """Verify JSONL writing and sampling-based quality review pass for valid records.""" + + records = MODULE.generate_triplets(total_samples=10, seed=11) + destination = tmp_path / "train.jsonl" + MODULE.write_jsonl(records, destination) + + lines = destination.read_text(encoding="utf-8").splitlines() + assert len(lines) == 10 + for line in lines: + parsed = json.loads(line) + assert "reference_letter" in parsed + + passed, failures = MODULE.review_quality(records, sample_size=5, seed=13) + assert passed is True + assert failures == [] diff --git a/clarke/tests/test_medasr.py b/clarke/tests/test_medasr.py new file mode 100644 index 0000000000000000000000000000000000000000..5c8fce4c65efdf4f971f85634fe26ccb6006df5b --- /dev/null +++ b/clarke/tests/test_medasr.py @@ -0,0 +1 @@ +"""Placeholder tests.""" diff --git a/clarke/tests/test_schemas.py b/clarke/tests/test_schemas.py new file mode 100644 index 0000000000000000000000000000000000000000..5c8fce4c65efdf4f971f85634fe26ccb6006df5b --- /dev/null +++ b/clarke/tests/test_schemas.py @@ -0,0 +1 @@ +"""Placeholder tests.""" diff --git a/clarke_PRD_design_guidelines.md b/clarke_PRD_design_guidelines.md new file mode 100644 index 0000000000000000000000000000000000000000..59aa0daf9d3a6e864fe5123c3d2db9361aa1d648 --- /dev/null +++ b/clarke_PRD_design_guidelines.md @@ -0,0 +1,362 @@ +# Clarke — PRD Design Guidelines + +**Version:** 1.0 | **Date:** 13 February 2026 | **Author:** Project Lead +**Status:** Final — visual and emotional specification for all Clarke UI work +**Derives from:** clarke_PRD_masterplan.md +**Scope:** What Clarke looks like and feels like. Does NOT cover user flow, screen logic, or technical stack. + +--- + +## 1. Colour Palette + +Clarke's palette is extracted from the Superman poster colour language (deep blue, warm gold, vibrant red, bright white) and applied through the soft, atmospheric gradient treatment seen on Sarvam AI's landing page. Colours are never used as flat bold blocks — they appear in gradients, backgrounds, and subtle accents that feel warm and light. + +### Core Tokens + +| Token | Hex | Usage | Rationale | +|---|---|---|---| +| `--clarke-blue` | `#1E3A5F` | Primary accent. Buttons, active states, links, sidebar active indicators. | Superman suit blue — deep, trustworthy, authoritative but not cold. | +| `--clarke-blue-light` | `#2B5EA7` | Hover states, secondary emphasis, icon fills. | Mid-tone that bridges the deep blue to lighter backgrounds. | +| `--clarke-gold` | `#D4A035` | Secondary accent. Key metrics, success highlights, recording indicator ring, the Clarke logo mark. | Superman emblem gold — warmth, value, something precious. | +| `--clarke-gold-light` | `#F0D078` | Subtle gold highlights, badge backgrounds, warm gradient stops. | Softer gold for backgrounds that shouldn't compete with text. | +| `--clarke-red` | `#C0392B` | Error/alert states ONLY. Critical flags, allergy mismatch badges, destructive button backgrounds. | Superman cape red — used sparingly. Red = something needs your attention NOW. | +| `--clarke-red-light` | `#F5B7B1` | Error state background tints (e.g., alert card background). | Softened red for non-aggressive error containers. | +| `--clarke-white` | `#FFFFFF` | Card surfaces, input backgrounds, modal overlays. | Superman backlighting — brightness, clarity, openness. | +| `--clarke-bg-primary` | `#FAFBFD` | Main page background. | Near-white with a cool whisper — feels like a room with natural light. | +| `--clarke-bg-warm` | `#FFF8F0` | Warm background sections (e.g., hero areas, welcome states). | Warm undertone for sections that should feel inviting. | +| `--clarke-text-primary` | `#1A1A2E` | Headings, body text, primary labels. | Near-black with a slight blue undertone — softer than pure #000. | +| `--clarke-text-secondary` | `#5A6178` | Captions, metadata, secondary labels, timestamps. | Medium-weight grey-blue. Legible but clearly subordinate. | +| `--clarke-text-disabled` | `#A0A8B8` | Disabled inputs, placeholder text. | Light enough to read as inactive. | +| `--clarke-border` | `#E2E6EE` | Card borders, dividers, input outlines at rest. | Subtle. Structures the layout without visual noise. | +| `--clarke-success` | `#27AE60` | "Signed off" badges, success toasts, completed pipeline stages. | Standard accessible green. | +| `--clarke-warning` | `#E67E22` | "Needs review" badges, attention-required states. | Amber — unmissable without implying danger. | + +### Gradient Specifications + +**Hero gradient (main background):** Applied behind the top section of the dashboard and the welcome/landing state. Mimics Sarvam AI's warm-to-cool atmospheric wash. + +``` +background: linear-gradient( + 165deg, + #FDE8C8 0%, /* warm peach-gold — Superman golden-hour light */ + #F5E6D8 25%, /* soft warm sand */ + #EEF0F8 55%, /* cool transition */ + #E8ECF8 80%, /* light lavender-blue — Superman suit undertone */ + #FAFBFD 100% /* fades into page background */ +); +``` + +**Sidebar gradient:** +``` +background: linear-gradient( + 180deg, + #1E3A5F 0%, /* clarke-blue */ + #162D4A 100% /* deeper blue */ +); +``` + +**Recording active glow:** A radial gradient behind the recording indicator: +``` +background: radial-gradient( + circle, + rgba(212, 160, 53, 0.25) 0%, /* gold glow */ + rgba(212, 160, 53, 0.0) 70% /* fades to transparent */ +); +``` + +--- + +## 2. Typography System + +Benchmark: Sarvam AI's bold, confident headings with clean body text. Every text element must be readable by a tired clinician at arm's length on a standard 1080p monitor. + +### Font Stack + +- **Primary:** `'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif` + Inter is chosen for its excellent legibility at all sizes, open-source availability, and medical/professional tone. If Inter cannot be loaded (Gradio constraint), the system stack provides equivalent quality. +- **Monospace (clinical values, codes, FHIR data):** `'JetBrains Mono', 'Fira Code', 'Consolas', monospace` + +### Type Scale + +| Element | Size | Weight | Line Height | Letter Spacing | Usage | +|---|---|---|---|---|---| +| H1 | 32px | 700 (Bold) | 1.25 | -0.02em | Page titles: "Dashboard", "Mrs Thompson — Consultation" | +| H2 | 24px | 700 (Bold) | 1.3 | -0.01em | Section titles: "Patient Context", "Draft Letter" | +| H3 | 20px | 600 (Semi-Bold) | 1.35 | 0 | Sub-section titles: "Medications", "Recent Bloods" | +| H4 | 17px | 600 (Semi-Bold) | 1.4 | 0 | Card titles, panel labels | +| Body | 16px | 400 (Regular) | 1.6 | 0 | All standard body text. This is the MINIMUM. | +| Body Strong | 16px | 600 (Semi-Bold) | 1.6 | 0 | Inline emphasis within body text | +| Caption | 14px | 400 (Regular) | 1.5 | 0.01em | Timestamps, metadata, help text | +| Label | 13px | 600 (Semi-Bold) | 1.4 | 0.04em | Form labels, badge text, uppercase labels | +| Mono | 15px | 400 (Regular) | 1.5 | 0 | Lab values: "HbA1c: 55 mmol/mol", FHIR codes | + +**Non-negotiable rules:** +- No text below 13px anywhere in the UI. +- Headings always use weight ≥600. No light or thin headings. +- Body text line-height ≥1.5. Clinicians scan; dense paragraphs kill readability. + +--- + +## 3. Spacing and Layout System + +Reference: Sarvam AI's generous white space. Content must breathe. If it feels like a dense EHR dashboard, something is wrong. + +### Spacing Scale (8px base unit) + +| Token | Value | Usage | +|---|---|---| +| `--space-xs` | 4px | Inner padding for badges, tight icon gaps | +| `--space-sm` | 8px | Gap between inline elements, icon-to-label spacing | +| `--space-md` | 16px | Standard padding inside cards, between form elements | +| `--space-lg` | 24px | Section separation within a panel, card padding | +| `--space-xl` | 32px | Major section gaps, between cards in a list | +| `--space-2xl` | 48px | Page-level top/bottom padding, hero section padding | +| `--space-3xl` | 64px | Landing/welcome state vertical breathing room | + +### Layout Constraints + +- **Max content width:** 1280px, centered. Prevents text lines from becoming unreadably long on wide monitors. +- **Sidebar width:** 260px fixed. Collapses to 64px (icon-only) on screens <1024px. +- **Main content area:** Flexible, fills remaining width. Uses a 12-column implicit grid with 24px gutters. +- **Card internal padding:** 24px all sides (--space-lg). +- **Card gap (in a list or grid):** 16px (--space-md). +- **Minimum touch/click target:** 44px × 44px (WCAG). + +--- + +## 4. Component Styling Guidelines + +### 4.1 Buttons + +**Primary button** — the main action (e.g., "Start Consultation", "Sign Off & Export"): +- Background: `--clarke-blue` (#1E3A5F) +- Text: white, 16px, weight 600 +- Border-radius: 12px +- Padding: 12px 24px +- Hover: background shifts to `--clarke-blue-light` (#2B5EA7), subtle scale(1.02) transform +- Active/click: **Ripple-shine effect** — a circular white radial gradient (opacity 0.3) expands from the click point to the button edges over 400ms with `ease-out`, then fades to 0 opacity over 200ms. CSS: use a `::after` pseudo-element with `@keyframes ripple`. +- Disabled: background #A0A8B8, no ripple + +**Secondary button** (e.g., "Cancel", "Back"): +- Background: transparent +- Border: 1.5px solid `--clarke-border` +- Text: `--clarke-text-primary`, 16px, weight 500 +- Hover: background `#F0F2F8`, border darkens to `--clarke-text-secondary` + +**Destructive button** (e.g., "Discard Draft"): +- Background: transparent +- Border: 1.5px solid `--clarke-red` +- Text: `--clarke-red` +- Hover: background `--clarke-red-light`, text `--clarke-red` +- Click: same ripple-shine but with red-tinted radial (#C0392B at opacity 0.15) + +### 4.2 Cards + +**Standard card** (patient card, document card, context section): +- Background: `--clarke-white` +- Border: 1px solid `--clarke-border` +- Border-radius: 16px +- Box-shadow: `0 1px 3px rgba(26, 26, 46, 0.06), 0 1px 2px rgba(26, 26, 46, 0.04)` +- Padding: 24px +- Hover (if clickable): shadow deepens to `0 4px 12px rgba(26, 26, 46, 0.1)`, translate Y -2px. Transition: 200ms ease + +**Patient card** (in patient list): Standard card + left border accent: +- Left border: 4px solid `--clarke-blue` +- Contains: Patient name (H4), NHS number (caption), age/sex badge, brief summary (body) + +**Document card** (generated letter preview): Standard card + status badge top-right: +- Status badge (see §4.3) positioned absolute top-right with 12px offset + +### 4.3 Status Badges + +All badges: border-radius 20px (pill shape), padding 4px 12px, font 13px weight 600, uppercase letter-spacing 0.04em. + +| Status | Background | Text | Border | Icon | +|---|---|---|---|---| +| Recording | `rgba(212, 160, 53, 0.15)` | `#8B6914` | none | Pulsing filled circle (see §5) | +| Processing | `rgba(43, 94, 167, 0.12)` | `--clarke-blue` | none | Spinning loader | +| Ready for Review | `rgba(230, 126, 34, 0.12)` | `#B35F00` | none | Pencil/edit icon | +| Signed Off | `rgba(39, 174, 96, 0.12)` | `#1B7A42` | none | Checkmark | + +### 4.4 Input Fields + +- Background: `--clarke-white` +- Border: 1.5px solid `--clarke-border` +- Border-radius: 10px +- Padding: 12px 16px +- Font: 16px body +- Focus: border-color transitions to `--clarke-blue`, outer box-shadow `0 0 0 3px rgba(30, 58, 95, 0.12)`. Transition: 150ms ease +- Placeholder: `--clarke-text-disabled`, italic + +### 4.5 Consultation Recording Indicator + +This is Clarke's centrepiece interaction — the visual element most visible in the video demo. It must feel alive and dynamic. + +**Idle state:** A circular button (64px diameter) with a microphone icon in `--clarke-blue`. Background white, border `--clarke-border`. + +**Recording state:** +- The circle expands to 80px, background becomes `--clarke-gold` with a white microphone icon. +- **Pulse animation:** The circle emits a soft radial glow that scales from 1.0 to 1.3 and fades from opacity 0.4 to 0 over 2 seconds, repeating infinitely. Easing: `ease-in-out`. This is the "heartbeat" — it makes the product feel alive. +- **Colour ring:** A 3px ring orbits the circle (conic-gradient from `--clarke-gold` to `--clarke-blue` to `--clarke-gold`), rotating 360° over 3 seconds. This adds visual richness that reads well on video. +- An adjacent label reads "Recording…" in `--clarke-gold`, 14px, weight 600, with an opacity animation pulsing between 0.6 and 1.0 over 1.5s. + +**Processing state (after recording stops):** The circle shrinks back to 64px, background becomes `--clarke-blue-light`, icon changes to a spinner. A progress bar (2px height, `--clarke-blue`) fills beneath the main content area. + +### 4.6 Document Preview Panel + +- Occupies the right 50% of the main content area (or full width on smaller viewports). +- Background: white card with standard card styling. +- The generated letter renders in a "paper" container: max-width 720px, centred, with subtle inset shadow (`inset 0 1px 4px rgba(0,0,0,0.04)`) to suggest a document page. +- Letter text: 16px body font, 1.7 line-height for reading comfort. +- Section headers within the letter: 17px, weight 600, `--clarke-blue`. +- Editable state: a thin `--clarke-gold` left border (3px) appears to signal "you can edit this." Clicking any paragraph activates inline editing with a subtle highlight background (`#FEFDF5`). + +### 4.7 Navigation / Sidebar + +- Fixed left sidebar, 260px wide. +- Background: sidebar gradient (see §1). +- Text: white at 90% opacity, weight 500. Active item: white at 100%, weight 600, with a left accent bar (3px, `--clarke-gold`) and a subtle background highlight (`rgba(255,255,255,0.08)`). +- Icons: 20px, outlined stroke style, white at 70% opacity (active: 100%). +- Bottom of sidebar: Clarke wordmark in white, 14px weight 700, with a small gold "S" shield icon reminiscent of the Superman emblem (simplified — a pentagon shape with the letter C inside, in `--clarke-gold`). + +### 4.8 Loading / Progress States + +- **Skeleton loaders** (not spinners) for content areas: animated shimmer gradient sweeping left-to-right over light grey rectangles matching the expected content shape. Shimmer uses `background-size: 200% 100%` with a `1.5s ease-in-out infinite` animation. +- **Progress bar** for pipeline stages (transcription → EHR retrieval → document generation): A horizontal bar with three segments, each filling in sequence with `--clarke-blue`. The current segment has a subtle pulse glow. Below the bar, a caption label names the active stage: "Transcribing audio…", "Retrieving patient context…", "Generating document…" + +--- + +## 5. Animation and Transition Specifications + +All animations serve one purpose: making Clarke feel premium, alive, and polished — especially in the demo video. No gratuitous motion. + +| Animation | Trigger | Duration | Easing | Effect | Purpose | +|---|---|---|---|---|---| +| **Scroll entrance** | Element enters viewport | 500ms | `cubic-bezier(0.16, 1, 0.3, 1)` | Fade from opacity 0 + translateY(16px) to opacity 1 + translateY(0) | Content feels like it's gently rising into place. Premium feel. | +| **Button ripple-shine** | Click on primary button | 600ms total (400ms expand, 200ms fade) | expand: `ease-out`; fade: `ease-in` | White radial gradient from click origin to edges, then dissolve | Satisfying tactile feedback. Looks polished on video. | +| **Recording pulse** | Recording active | 2000ms, infinite | `ease-in-out` | Radial glow scales 1.0→1.3, opacity 0.4→0 | The product's heartbeat. Key visual moment in demo. | +| **Recording ring rotation** | Recording active | 3000ms, infinite, linear | `linear` | Conic gradient ring rotates 360° | Adds richness. Reads extremely well on video. | +| **Panel transition** | Tab/view change | 300ms | `cubic-bezier(0.16, 1, 0.3, 1)` | Outgoing panel fades out (150ms) + slides left 12px; incoming panel fades in (150ms) + slides from right 12px | Smooth, no jarring cuts. | +| **Document generation reveal** | Document ready | 800ms | `cubic-bezier(0.16, 1, 0.3, 1)` | Paper container scales from 0.97 to 1.0, opacity 0→1, slight upward drift (8px). Preceded by a 200ms "sparkle" flash of `--clarke-gold` glow on the document card border. | The "ta-da" moment. Most visually striking transition in the demo. | +| **Skeleton shimmer** | Content loading | 1500ms, infinite | `ease-in-out` | Left-to-right gradient sweep | Communicates progress. Feels modern. | +| **Progress bar fill** | Pipeline stage active | Variable (matches actual processing) | `ease-out` | Bar width interpolates from 0% to 100% per segment | Gives the user a sense of progress through the pipeline. | + +### Cursor Behaviour + +Cursors are a subtle but important part of perceived quality. The right cursor signals interactivity and reinforces the polished, premium feel. + +| Context | Cursor | Notes | +|---|---|---| +| Default (body, text, backgrounds) | `default` | Standard arrow. | +| Clickable elements (buttons, links, cards, tabs, sidebar items) | `pointer` | The hand cursor. Every clickable element must show this — no exceptions. | +| Text inputs, editable fields, document edit mode | `text` | I-beam. Signals the area is editable. | +| Draggable elements (if any, e.g., panel resizers) | `grab` / `grabbing` | Open hand at rest, closed hand while dragging. | +| Disabled buttons, non-interactive elements | `not-allowed` | Reinforces that the element is inactive. | +| Loading/processing states (while waiting for AI pipeline) | `progress` | Signals the system is working. Use `progress` (spinner + arrow) rather than `wait` (hourglass) to indicate the user can still interact with other parts of the UI. | +| Hover over document preview text (non-editable) | `default` | Do NOT show `text` cursor on read-only document previews — it falsely suggests editability. | + +--- + +## 6. Iconography and Visual Elements + +### Icon Style + +- **Library:** Lucide Icons (open-source, consistent, available in Gradio via HTML/SVG). +- **Style:** Outlined (stroke), not filled. Stroke weight 1.5px–2px. +- **Size:** 20px for navigation, 18px inline, 24px for feature icons. +- **Colour:** Inherits from context — `--clarke-text-secondary` by default, `--clarke-blue` when active, white on dark backgrounds. + +### Clarke Logo Mark + +A simplified shield shape (pentagon/crest) containing the letter "C" in a confident serif or semi-serif weight. Rendered in `--clarke-gold` on dark backgrounds, `--clarke-blue` on light backgrounds. Sized at 28px in the sidebar, 40px on the landing/welcome state. This is a subtle nod to the Superman emblem — enough to feel intentional, not enough to be derivative. + +### Illustrative Elements + +- **No illustrations or cartoons.** Clarke is a clinical tool. +- **Gradient orbs:** For empty states or welcome screens, use soft, semi-transparent gradient circles (peach-gold to lavender-blue, opacity 0.15–0.25) as decorative background elements — similar to the atmospheric quality in the Sarvam AI landing page. These add warmth without clutter. + +--- + +## 7. Emotional Design Principles + +Five principles that guide every visual decision. When in doubt, consult these. + +### Principle 1: "Help Has Arrived" + +Clarke should feel like relief — like the moment a colleague walks in and says "I've got this." +**This means:** warm background gradients, welcoming empty states with clear next-step CTAs, a calm and confident colour palette. +**This does NOT mean:** aggressive onboarding, dense dashboards that overwhelm on first load, or cold clinical sterility. + +### Principle 2: "You Can Trust This" + +Clinicians stake patient safety on Clarke's output. The design must project reliability. +**This means:** consistent component styling, clear status indicators (you always know what state the system is in), legible text, no ambiguous icons, structured document previews that look like real clinical letters. +**This does NOT mean:** excessive "trust badges" or security theatre. Trust is communicated through quality and consistency, not logos. + +### Principle 3: "This Was Made for You" + +The design should feel purpose-built for clinical work — not a repurposed generic SaaS template. +**This means:** typography and spacing optimised for fatigued readers, clinical terminology used confidently (not dumbed down), the document preview mimics a real letter format, the workflow matches how clinicians actually conduct consultations. +**This does NOT mean:** medical clip-art, stethoscope icons everywhere, or green-and-white "hospital" aesthetics. + +### Principle 4: "Nothing Here Will Waste Your Time" + +Every pixel earns its place. Every interaction has a purpose. +**This means:** no decorative-only elements in the main workflow, progressive disclosure over information overload, clear visual hierarchy so the eye knows where to go, generous spacing that aids scanning. +**This does NOT mean:** a stripped-down "developer" aesthetic. Polish is not waste — the ripple-shine, the recording pulse, the document reveal animation all serve the perception of quality. + +### Principle 5: "Light, Not Heavy" + +The emotional tone is warm, open, and optimistic — not clinical, corporate, or techy. +**This means:** warm gradient backgrounds (peach → lavender), gold accents over grey, white space over density, rounded corners (12–16px) over sharp edges, the feeling of a sunlit room. +**This does NOT mean:** pastel overload, childish roundness, or sacrificing information density where clinicians genuinely need it (e.g., the patient context panel can be data-rich — just well-structured). + +--- + +## 8. Demo Video Optimisation + +The 3-minute video is 30% of the judging score. These guidelines ensure the UI reads clearly on compressed video at typical viewing sizes (YouTube embed, ~720p effective resolution on a Kaggle page). + +### Text Size for Video + +- **Minimum text shown during video:** 16px (body) and above. Nothing smaller should be on-screen during a screen recording. If captions or metadata are 13–14px in the live UI, zoom the browser to 125% before recording. +- **Key numbers/metrics:** Render them at 24px+ so they're instantly legible in the video. E.g., "15 minutes saved per patient" on the results screen. + +### Contrast Requirements + +- All text on gradients must hit WCAG AA (4.5:1 ratio minimum). The hero gradient is light — use `--clarke-text-primary` (#1A1A2E) for headings on it, never grey. +- Status badges must be legible on white card backgrounds — the coloured backgrounds + dark text combinations in §4.3 are pre-tested for this. + +### Hero Visual Moments (Optimise These for Video) + +1. **The gradient landing/welcome screen.** First 5 seconds of the video. The warm peach → cool blue gradient with the Clarke logo. This is the first impression judges see — it must look stunning. +2. **The recording pulse animation.** Show this for at least 3–4 seconds in the video. The pulsing gold glow + rotating ring is the most "alive" visual element and communicates Clarke's core action. +3. **The document generation reveal.** The moment the "Processing…" state transitions to the rendered letter. The gold sparkle flash + the paper sliding into view should be given a beat in the video — pause narration slightly to let judges see it. +4. **The side-by-side comparison.** If shown: a split screen of "transcript-only letter" vs "Clarke's context-enriched letter" — use clear visual differentiation (left card grey border, right card gold border with a "★ Context-Enriched" badge). + +### Colour on Camera + +- Avoid pure white (#FFFFFF) backgrounds filling the entire screen — they blow out on video. The gradient backgrounds and the off-white `--clarke-bg-primary` (#FAFBFD) solve this. +- The blue-gold-white palette has excellent screen contrast range. Avoid the red except for alert states — red can bleed on compressed video. + +--- + +## 9. Reference Mood Board Synthesis + +### From the Superman Posters + +**Take:** The colour palette — deep suit blue for trust/authority, warm emblem gold for warmth/value, cape red for alerts only, backlighting white for openness. The emotional register — confidence, hope, the arrival of help. The golden-hour atmosphere — warm light emanating from behind, suggesting dawn or relief. +**Leave behind:** The dramatic intensity, the dark shadows, the movie-poster boldness. Clarke is warm and calm, not epic and intense. + +### From Sarvam AI + +**Take:** The gradient atmosphere — warm orange/peach flowing into cool lavender/blue, creating an ethereal, almost sunrise-like quality. The generous white space and uncluttered layout. The typographic confidence — bold, large, highly readable headings with strong weight differentiation. The pill-shaped buttons and rounded card corners. +**Leave behind:** The serif font choice (Inter is more medical-appropriate than a display serif). The specific orange hue (Clarke shifts warmer toward gold to align with the Superman palette). + +### Clarke's Unique Synthesis + +Clarke blends Superman's emotional confidence and colour DNA with Sarvam AI's spatial grace and typographic clarity. The result: a healthcare interface that feels warm, trustworthy, and carefully made — like a product designed by someone who understands both the technology and the human on the other side of the screen. The warm peach-to-lavender gradients suggest dawn (a new day, help arriving), the gold accents suggest value (your time matters), and the deep blue grounds everything in clinical authority. When a tired NHS doctor opens Clarke at the end of a 12-hour shift, they should feel — even if only subconsciously — that someone built this with care for them. + +--- + +*This document is the visual authority for all Clarke UI work. Every colour, font size, spacing value, and animation in the codebase must trace back to a specification defined here. When in doubt, re-read the five emotional design principles in §7.* diff --git a/clarke_PRD_implementation.md b/clarke_PRD_implementation.md new file mode 100644 index 0000000000000000000000000000000000000000..65dcb5b9c84d4128014c82bfc810d6706d6c221f --- /dev/null +++ b/clarke_PRD_implementation.md @@ -0,0 +1,359 @@ +# Clarke — PRD Implementation (Build Sequencing Plan) + +**Version:** 1.0 | **Date:** 13 February 2026 | **Author:** Project Lead +**Status:** Final +**Parent document:** clarke_PRD_masterplan.md +**Scope:** Build phases, sequencing, dependencies, time allocation, milestones, fallback paths +**Not in scope:** Strategic rationale (masterplan.md), visual design (design_guidelines.md), user journey (userflow.md), architecture details (technical_spec.md), granular tasks (tasks.md), agent rules (rules.md) + +--- + +## 1. Major Build Phases + +The 24 working hours are divided into **5 phases** plus a protected submission-prep block. Each phase has a single clear deliverable that can be verified before moving on. + +| Phase | Name | Hours | Deliverable | +|---|---|---|---| +| **0** | Environment & Data Foundation | 1–3 (3h) | Running GPU environment + FHIR server with 50 synthetic patients + demo audio files staged | +| **1** | Core Model Pipelines | 4–8 (5h) | MedASR transcription pipeline + MedGemma 4B EHR agent + orchestrator connecting them | +| **2** | Document Generation & End-to-End Pipeline | 9–12 (4h) | MedGemma 27B loaded + baseline letter generation + full pipeline wired (audio → transcript → context → letter) | +| **3** | UI Build & Integration | 13–16 (4h) | Functional Gradio UI connected to backend; complete end-to-end demo working in browser | +| **4** | Fine-tuning, Evaluation & Polish | 17–21 (5h) | LoRA fine-tuning (if feasible), quantitative evaluations, UI polish, demo audio verification | +| **5** | Deployment & Submission Prep | 22–24 (3h) | Public HF Space live, public GitHub repo, public LoRA adapter (if trained), README, submission checklist | + +**Total: 24 hours.** Buffer week (Mon 16 – Sun 22 Feb) absorbs any slippage or provides time for writeup, video, and submission. + +--- + +## 2. Dependency Graph + +``` +Phase 0: Environment & Data Foundation + │ + ├──► Phase 1a: MedASR Pipeline (no dependency on FHIR) + │ + ├──► Phase 1b: MedGemma 4B EHR Agent (depends on FHIR server from Phase 0) + │ │ + │ ▼ + │ Phase 1c: Orchestrator (depends on 1a + 1b) + │ + └──► Phase 2: Document Generation (depends on 1c — needs transcript + context to generate) + │ + ▼ + Phase 3: UI Build & Integration (depends on Phase 2 — needs working backend) + │ + ▼ + Phase 4: Fine-tuning + Evaluation + Polish (depends on Phase 3 — core must work first) + │ + ▼ + Phase 5: Deployment & Submission Prep (depends on Phase 4 — deploy what's been built) +``` + +**Critical path:** Phase 0 → Phase 1b → Phase 1c → Phase 2 → Phase 3 → Phase 5. This is the minimum sequential chain that determines total build time. Minimum critical-path duration: ~19 hours (leaving 5 hours of float for Phase 4 evaluation/polish work, some of which can parallelise). + +**Parallelisable work:** +- Phase 1a (MedASR) and Phase 1b (EHR Agent) are independent of each other and can overlap if two work streams are available. In practice, with a solo developer + AI agent, these are executed sequentially but either can go first. +- Synthetic training data generation (Phase 4) can begin during Phase 3 UI work if the developer kicks off a Claude API batch job in the background. + +--- + +## 3. Hour-by-Hour Time Allocation + +### PHASE 0 — Environment & Data Foundation (Hours 1–3) + +| Hour | What Is Being Built | Tools | Deliverable | Done When | +|---|---|---|---|---| +| 1 | **GPU environment setup.** Provision HF Space with A100 40GB. Install Python 3.11, PyTorch 2.4.x, transformers, FastAPI, Gradio 5.x, bitsandbytes. Clone starter repo structure. | HF Spaces Docker, pip, git | Running Space with GPU confirmed | `torch.cuda.is_available() == True`, all core packages import | +| 2 | **FHIR server + synthetic data.** Deploy HAPI FHIR server (Docker container). Generate 50 UK-style synthetic patients using Synthea. Load into FHIR server. Verify REST access. | Synthea v3.3, HAPI FHIR v7.4, curl/requests | 50 patients queryable via FHIR API | `GET /fhir/Patient?_count=50` returns 50 patients with UK names, NHS numbers, mmol/L units | +| 3 | **Demo assets + project scaffolding.** Create project directory structure. Stage 3 pre-recorded demo audio clips (Mrs Thompson diabetes, Mr Okafor chest pain, Ms Patel asthma). Each ~60–90s, 16kHz WAV. Set up FastAPI app skeleton with placeholder endpoints. | ffmpeg, file management, FastAPI | Project structure + demo audio files + running FastAPI skeleton | FastAPI starts, `/health` returns 200, 3 WAV files play correctly | + +**Uncertain assumption:** Synthea UK customisation may take longer than expected (NHS numbers, UK drug names, mmol/L units). **Contingency:** If Synthea UK config exceeds 1 hour, use default Synthea output and manually patch 5 key demo patients with UK-style data via direct FHIR PUT calls. The remaining 45 patients can be generic — judges will only see the 3–5 demo patients. + +### PHASE 1 — Core Model Pipelines (Hours 4–8) + +| Hour | What Is Being Built | Tools | Deliverable | Done When | +|---|---|---|---|---| +| 4 | **MedASR loading + audio ingestion.** Load `google/medasr` via transformers. Build audio ingestion: browser MediaRecorder API → WebSocket → server-side WAV conversion (16kHz, mono). | transformers, librosa, pydub, ffmpeg, websockets | Audio capture → valid WAV on server | Record 30s in browser → receive valid 16kHz WAV on server | +| 5 | **MedASR transcription pipeline.** Implement chunked transcription (`chunk_length_s=20`, `stride_length_s=2`, `return_timestamps=True`). Build WebSocket return of real-time transcript to frontend. Test with demo audio. | transformers pipeline, torch | Working audio → text pipeline | Transcribe 60s demo WAV, output is readable medical text with <10% WER on visual inspection | +| 6 | **MedGemma 4B EHR Agent — model + tools.** Load `google/medgemma-1.5-4b-it` in 4-bit quantised mode. Implement FHIR tool functions: `search_patients`, `get_conditions`, `get_medications`, `get_observations`, `get_allergies`, `get_diagnostic_reports`. Wire as LangGraph ReAct agent (or deterministic fallback — see §7). | transformers, bitsandbytes, langgraph, httpx | Agent loads, tools callable | Agent called with patient ID → returns raw FHIR resources as JSON | +| 7 | **MedGemma 4B context synthesis.** Add structured output: agent extracts facts from raw FHIR resources into standardised JSON schema (demographics, problem_list, medications, allergies, recent_labs, recent_imaging, last_letter_excerpt). Add clinical flags (rising trends, critical values). | Custom JSON schema, langgraph state | Structured patient context JSON | Agent returns well-formed context JSON for 3 demo patients; manual inspection confirms accuracy against FHIR data | +| 8 | **Orchestrator: connect MedASR + EHR Agent.** Build FastAPI endpoints: `POST /start-consultation` (activates audio + triggers EHR agent), `POST /end-consultation` (stops audio, combines transcript + context), `GET /patient-context/{id}`. Design document-generation prompt template (Jinja2): system message + transcript + context JSON + format specification. Test with mock data. | FastAPI, asyncio, Jinja2 | Working orchestrator producing combined prompt | Call `/start-consultation` with patient ID → context loads → call `/end-consultation` → combined prompt printed with correct structure | + +**🔴 INTEGRATION TEST POINT 1 (end of Hour 8):** Run the Mrs Thompson demo scenario end-to-end through the backend (no UI yet). Audio file → MedASR → transcript. Patient ID → EHR Agent → context JSON. Combined prompt → print to console. Verify the combined prompt contains both the transcript text and the FHIR-sourced lab values. This is the critical fusion point — if it doesn't work here, everything downstream breaks. + +**Uncertain assumption:** MedGemma 4B instruction-following for tool-calling. **Contingency:** See §7 (Fallback Paths). + +### PHASE 2 — Document Generation & End-to-End Pipeline (Hours 9–12) + +| Hour | What Is Being Built | Tools | Deliverable | Done When | +|---|---|---|---|---| +| 9 | **MedGemma 27B loading + baseline generation.** Load `google/medgemma-27b-text-it` in 4-bit NF4 quantisation (bitsandbytes, compute_dtype=bfloat16). Generate 3 baseline clinic letters using the combined prompts from Hour 8 (one per demo patient). | transformers, bitsandbytes, accelerate | MedGemma 27B loaded and generating text | 3 generated letters saved. Model produces coherent medical text (even if not yet NHS-formatted) | +| 10 | **Prompt engineering for NHS letter quality.** Iterate on the document-generation prompt: add explicit NHS letter structure instructions, exemplar letter fragments, positive/negative finding conventions. Regenerate 3 letters. Compare to baselines. Select best prompt. | Jinja2 templates, manual iteration | Optimised prompt template producing well-structured letters | 3 regenerated letters visually conform to NHS clinic letter format (date, addressee, history, investigations, plan) | +| 11 | **Wire end-to-end pipeline.** Connect `/end-consultation` endpoint to MedGemma 27B inference. Output: structured letter returned as JSON with sections (header, history, investigations, assessment, plan, medications, sign-off). Add latency logging. | FastAPI, torch inference | Complete backend pipeline | Call `/end-consultation` → receive generated letter JSON within 60 seconds | +| 12 | **Pipeline hardening.** Add error handling: timeout (120s max), OOM recovery (reduce context, retry), empty transcript handling, FHIR failure graceful degradation (generate from transcript only). Test 3 error scenarios intentionally. | Python exception handling, asyncio timeouts | Robust pipeline with graceful failures | Intentionally trigger empty audio, FHIR timeout, and oversized context — all handled with informative error messages, no crashes | + +**Uncertain assumption:** MedGemma 27B fits in A100 40GB at 4-bit. **Contingency:** See §7 (Fallback Paths). + +### PHASE 3 — UI Build & Integration (Hours 13–16) + +| Hour | What Is Being Built | Tools | Deliverable | Done When | +|---|---|---|---|---| +| 13 | **Gradio UI — core layout.** Build main interface: left panel (patient context), centre panel (document display/editor), top bar (recording controls, status). Patient list dropdown. "Start Consultation" / "End Consultation" buttons. Recording indicator. Live transcript expandable section. | Gradio 5.x, custom CSS (NHS colours: #003087, #005EB8, #FFFFFF) | UI renders with all panels and controls | UI loads in browser. All buttons clickable. Panels correctly positioned at 1920×1080 | +| 14 | **Gradio UI — data binding.** Connect UI to backend: patient selection triggers EHR agent → context panel populates. "Start" activates audio capture (JavaScript interop). "End" triggers document generation → letter appears. Inline editing of letter text. "Sign Off" button. Export: copy to clipboard. | Gradio event handlers, gr.State, JavaScript interop | Fully interactive UI connected to backend | Select patient → context loads → start recording → stop → letter appears → edit a line → sign off. All stages work | +| 15 | **End-to-end integration testing (3 demo scenarios).** Test Mrs Thompson (diabetes), Mr Okafor (chest pain), Ms Patel (asthma) — complete flow using pre-recorded audio. Verify: correct transcription, accurate context, clinically coherent letters, working editing, successful sign-off. | Pre-recorded WAV files, manual verification | 3 passing end-to-end scenarios | All 3 scenarios complete without crash. Generated letters are clinically appropriate for each patient | +| 16 | **Bug fixing + UX tightening.** Fix all issues from Hour 15. Add loading spinners, progress indicators ("Transcribing... → Retrieving context... → Drafting letter..."), error toast messages. Ensure UI doesn't freeze during model inference. | Gradio UI components, CSS | Stable, responsive application | Re-run all 3 scenarios. No UI freezes, no uncaught errors, loading states visible | + +**🔴 INTEGRATION TEST POINT 2 (end of Hour 16):** Full demo dry-run. Record screen while running the Mrs Thompson scenario exactly as it would appear in the competition video. Watch the recording. Verify: the flow is smooth, the letter is good, no glitches. This recording can serve as a rough-cut backup video if time runs out later. + +### PHASE 4 — Fine-tuning, Evaluation & Polish (Hours 17–21) + +| Hour | What Is Being Built | Tools | Deliverable | Done When | +|---|---|---|---|---| +| 17 | **Synthetic training data generation.** Generate 250 training triplets (transcript, FHIR context JSON, reference NHS letter) using Claude API. Each based on a unique clinical scenario. Manually review 20 for quality. Split: 200 train, 50 test. | anthropic SDK, custom scripts | 250 triplets in train.jsonl + test.jsonl | Files pass schema validation. 20 reviewed samples are clinically plausible and correctly formatted | +| 18 | **LoRA fine-tuning MedGemma 27B.** QLoRA: 4-bit NF4 base, LoRA on attention + MLP layers. rank=16, alpha=32, lr=2e-4, epochs=3, batch=2, grad_accum=8. Monitor training loss. | peft, trl (SFTTrainer), bitsandbytes, wandb | Saved LoRA adapter | Training completes without OOM. Final loss < initial loss. Adapter <500MB | +| 19 | **Post-training evaluation.** Generate 50 test letters with fine-tuned model. Compute BLEU, ROUGE-L vs held-out references. Compare to 3 baseline letters from Hour 9. Manual review of 10 letters for NHS format compliance, clinical accuracy, correct use of FHIR values. | evaluate (HF), rouge_score, sacrebleu | Evaluation report | Fine-tuned scores > baseline scores. Report saved as evaluation_report.md | +| 20 | **MedASR + EHR Agent evaluation.** MedASR: compute WER on 20 dictation + 10 ambient clips using jiwer; compare to Whisper large-v3. EHR Agent: test fact recall/precision/hallucination on 20 patients vs gold standards. | jiwer, openai-whisper, custom eval scripts | WER comparison table + agent accuracy report | All metrics computed. Results appended to evaluation_report.md | +| 21 | **UI polish + demo prep.** NHS Design System aesthetics (colours, typography, spacing). Loading animations. Verify 3 demo audio clips transcribe cleanly. Screen-record a polished demo dry-run. | CSS, Gradio theming, screen recording | Production-quality UI + demo recording | UI looks professional. Demo dry-run recording is smooth | + +**Decision gate (end of Hour 18):** If LoRA training fails (OOM, loss diverges, takes >2 hours), abandon fine-tuning. Use base MedGemma 27B with the optimised prompt from Hour 10. Redirect Hours 19–20 to additional prompt engineering, evaluation of the base model, and extra UI polish. Document the fine-tuning plan in the writeup as "production roadmap" rather than "completed." + +**Uncertain assumption:** LoRA fine-tuning fits in remaining A100 VRAM alongside loaded models. **Contingency:** Unload all other models during training (MedASR + MedGemma 4B). Reload after training completes. If still OOM: reduce rank to 8, reduce max_seq_length to 2048, reduce dataset to 100 examples. + +### PHASE 5 — Deployment & Submission Prep (Hours 22–24) + +| Hour | What Is Being Built | Tools | Deliverable | Done When | +|---|---|---|---|---| +| 22 | **HF Space deployment.** Push complete application to public HF Space. Upload LoRA adapter (if trained) to HF Hub as separate model repo tracing to `google/medgemma-27b-text-it`. Verify public access from incognito browser. | HF Spaces CLI, huggingface_hub SDK, git-lfs | Live public demo + public model repo | External browser (incognito) can access demo, select patient, play audio, receive letter | +| 23 | **GitHub repo + README.** Push clean code to public GitHub repo. Write README: project description, architecture diagram (ASCII or image), installation instructions, evaluation results, model card, licence (Apache 2.0 code, HAI-DEF terms for models). Add docstrings to all .py files. | git, markdown | Documented public GitHub repo | README has architecture diagram, quickstart, eval table, licence. All .py files have docstrings | +| 24 | **Final verification + submission checklist.** End-to-end smoke test of live demo. Verify all 3 public artefacts: GitHub repo, HF Space, HF model repo (if applicable). Create `submission_checklist.md`. | Manual testing | All artefacts publicly accessible | GitHub ✓, HF Space ✓, HF model repo ✓, demo runs error-free from external device | + +--- + +## 4. Integration Points and Their Order + +Clarke has 5 components. They are wired together in this order, with rationale: + +| Order | Integration | Why This Order | +|---|---|---| +| 1st | **FHIR Server ↔ EHR Agent** (Hour 6–7) | The EHR Agent is useless without data to query. FHIR server must be up first. This is also the riskiest integration (MedGemma 4B tool-calling bugs), so we tackle it early to allow time for fallback. | +| 2nd | **MedASR ↔ Orchestrator** (Hour 8) | MedASR is the most straightforward model (audio → text). Connecting it to the orchestrator is low-risk and gives us the transcript half of the fusion point. | +| 3rd | **Orchestrator ↔ MedGemma 27B** (Hour 11) | This completes the backend pipeline. We need both transcript and context available before connecting the document generator. | +| 4th | **Gradio UI ↔ Backend** (Hour 14) | UI is the last layer. Building it before the backend is stable wastes time on broken bindings. | +| 5th | **LoRA Adapter ↔ MedGemma 27B** (Hour 18–19) | Fine-tuning is an improvement on top of a working pipeline, not a prerequisite. If it fails, the pipeline still works with the base model. | + +**Minimal viable integration (rough end-to-end demo):** Achieved at end of Hour 11 — backend pipeline produces a letter from audio + patient ID, viewable in terminal. No UI yet, but the core pipeline works. + +--- + +## 5. Day-End Checkpoints + +### End of Day 1 — Hour 8 (Friday 13 Feb) + +All of the following must be true: + +1. ✅ HF Space is running with GPU confirmed. +2. ✅ HAPI FHIR server has 50 synthetic patients loaded and queryable. +3. ✅ MedASR transcribes a demo WAV file and returns readable medical text via the `/transcribe` endpoint or equivalent. +4. ✅ MedGemma 4B EHR Agent returns a structured context JSON for at least 3 demo patients when given a patient ID. +5. ✅ The orchestrator combines a transcript and context JSON into a correctly structured document-generation prompt. +6. ✅ Integration Test Point 1 has passed (Mrs Thompson scenario: combined prompt contains both transcript text AND FHIR-sourced lab values). + +**If behind:** If MedGemma 4B agent is not working as a LangGraph tool-caller, trigger Fallback Path #2 (§7) immediately — do not spend Day 2 debugging it. + +### End of Day 2 — Hour 16 (Saturday 14 Feb) + +All of the following must be true: + +1. ✅ MedGemma 27B is loaded and generates coherent clinic letters from combined prompts. +2. ✅ The complete backend pipeline works: audio → transcript → context → letter, invokable via API. +3. ✅ The Gradio UI is functional: patient selection, recording, context display, letter display, inline editing, sign-off. +4. ✅ All 3 demo scenarios (Thompson, Okafor, Patel) run end-to-end in the browser without crashing. +5. ✅ Integration Test Point 2 has passed (screen-recorded demo dry-run of Mrs Thompson scenario is smooth). +6. ✅ Generated letters include both conversation content AND FHIR-sourced data (the core Clarke differentiator). + +**If behind:** At this point, assess the must-have list (masterplan §12). If ≥2 must-haves are incomplete, cancel ALL nice-to-haves (fine-tuning, quantitative evaluation, ward round mode, PDF export). Spend all of Day 3 completing the core pipeline + deployment. + +### End of Day 3 — Hour 24 (Sunday 15 Feb) + +All of the following must be true: + +1. ✅ Public HF Space is live and accessible from any browser. +2. ✅ Public GitHub repo with clean code, README with architecture diagram, and docstrings. +3. ✅ At least 3 demo scenarios work flawlessly on the live HF Space. +4. ✅ Submission checklist confirms all competition requirements are met (except video and writeup, which are scheduled for buffer week). + +**Nice-to-haves completed (if on schedule):** +- LoRA adapter trained and published on HF Hub. +- WER comparison table (MedASR vs Whisper). +- EHR Agent fact recall/precision metrics. +- BLEU/ROUGE-L evaluation of document generation. +- evaluation_report.md with all quantitative results. + +--- + +## 6. Minimum Viable Demo (MVD) + +### Protected Core (must be done in first 24 hours) + +These elements are the irreducible core of Clarke's competition story: + +1. **MedASR transcription** — audio in, medical transcript out. +2. **MedGemma 4B context retrieval** — patient ID in, structured FHIR context out (even if via deterministic FHIR queries + MedGemma summarisation rather than full agentic tool-calling). +3. **MedGemma 27B document generation** — transcript + context in, NHS-format letter out (even with base model, no fine-tuning). +4. **End-to-end orchestration** — all three stages connected, single user action triggers the full pipeline. +5. **Functional Gradio UI** — patient selection, recording, context panel, letter display, basic editing, sign-off. +6. **3 demo scenarios working** — pre-recorded audio, verified output. +7. **Public HF Space** — live, accessible. +8. **Public GitHub repo** — README, licence. + +### Can Safely Slip to Buffer Week (Mon 16 – Sun 22 Feb) + +- LoRA fine-tuning + adapter publication +- All quantitative evaluations (WER, BLEU, ROUGE-L, fact recall) +- Ward Round mode +- PDF export +- Discrepancy flagging (allergy mismatch alerts) +- NHS Design System visual polish (accessibility scores) +- Video recording and editing +- Writeup drafting + +### Absolute Floor (if catastrophic failure) + +If a critical component fails entirely (e.g., MedGemma 27B cannot be deployed on any available hardware): + +- **MedASR transcription** works and is demoed. +- **MedGemma 4B EHR context retrieval** works and is demoed. +- **Document generation** uses MedGemma 4B with heavy prompt engineering as a fallback (reduced quality, but functional). +- **The story is still told:** three HAI-DEF models in a pipeline, even if one is degraded. The video focuses on the vision and the two working components. + +--- + +## 7. Fallback Paths for Known Risks + +### Risk 1: MedGemma 27B deployment fails (OOM, quota rejection, >60s inference) + +- **Trigger:** Model fails to load in 4-bit NF4 on A100 40GB, or inference exceeds 120 seconds. +- **Fallback A:** GGUF Q8_0 quantisation via Ollama (31.8GB). Switch inference to Ollama API calls. Impact on build: +1 hour to set up Ollama within Docker, swap inference code. Schedule: borrow from Phase 4 (cut evaluation time). +- **Fallback B:** If Ollama also fails — use MedGemma 4B (`google/medgemma-1.5-4b-it`) for document generation with extensively engineered prompts. Quality will be lower but the pipeline remains functional. Mention 27B as the "production configuration" in writeup. +- **Impact on remaining sequence:** If Fallback B is triggered, skip LoRA fine-tuning entirely. Redirect all Phase 4 time to prompt engineering and evaluation of the 4B-based generation. + +### Risk 2: MedGemma 4B instruction-following bugs (system prompt leaks, meta-commentary) + +- **Trigger:** MedGemma 4B fails to reliably call FHIR tools via LangGraph, or outputs contain training artifacts / system prompt leaks after 2 hours of prompt engineering (i.e., by end of Hour 7). +- **Fallback:** Abandon LangGraph agentic tool-calling. Instead, use **deterministic FHIR queries** (hardcoded Python functions that query FHIR endpoints for the standard resource set: Conditions, Medications, Observations, Allergies, DiagnosticReports). Pass the raw FHIR JSON to MedGemma 4B for **summarisation only** (not tool-calling). The output is the same structured context JSON; the agent just doesn't autonomously decide which queries to run. +- **Impact on narrative:** We can still describe this as "MedGemma 4B acting as an EHR understanding agent" — the model is still processing FHIR data and generating structured summaries. The agentic workflow story is slightly weaker but still holds because the three-model pipeline is intact. +- **Impact on remaining sequence:** Saves time (deterministic queries are faster to implement than debugging LangGraph). No downstream changes needed. + +### Risk 3: Time overrun — 24 hours is insufficient + +- **Trigger:** End of Day 2 checkpoint shows ≥2 must-haves incomplete. +- **Fallback:** Cancel all nice-to-haves (masterplan §12, items 11–20). Day 3 is entirely dedicated to completing the core pipeline and deployment. Fine-tuning, quantitative evaluation, Ward Round mode, and PDF export are deferred to buffer week or dropped entirely. +- **Impact on remaining sequence:** Day 3 becomes: finish pipeline → finish UI → deploy → smoke test. No evaluation, no polish. Buffer week picks up the rest. + +### Risk 4: MedASR ambient performance is unacceptable (WER >15% on demo audio) + +- **Trigger:** Demo audio clips produce incoherent transcripts after basic prompt/config tuning. +- **Fallback:** Switch to **dictation-style demo audio** — the clinician dictates a consultation summary post-visit rather than ambient two-party capture. MedASR was trained on dictation, so this is its strong suit. The demo still shows MedASR in action; the writeup acknowledges ambient capture as a production fine-tuning target. +- **Impact on remaining sequence:** None — just swap the audio files. The rest of the pipeline is identical. + +### Risk 5: HAPI FHIR server fails within HF Spaces Docker + +- **Trigger:** FHIR server won't start, or startup takes >15 minutes, or conflicts with GPU container. +- **Fallback:** Replace HAPI FHIR with a **mock FHIR API** — a set of FastAPI endpoints that return pre-loaded Synthea JSON files. The demo UX is identical (the EHR Agent still makes HTTP calls to a FHIR-like API). Implement in ~30 minutes. +- **Impact on remaining sequence:** Minimal. The mock API is simpler and faster. + +--- + +## 8. Integration Testing Strategy + +Two mandatory integration test points are built into the schedule. A third is recommended. + +### Integration Test Point 1 — End of Hour 8 (End of Day 1) + +**What:** Backend-only end-to-end test. Run the Mrs Thompson scenario through the entire backend pipeline without any UI. + +**How:** +1. Feed `demo_data/mrs_thompson.wav` to MedASR → capture transcript. +2. Feed patient ID to EHR Agent → capture context JSON. +3. Combine into document-generation prompt → print to console. +4. Verify the combined prompt contains: (a) transcript text mentioning HbA1c, fatigue, gliclazide; (b) FHIR-sourced values: HbA1c 55 mmol/mol, eGFR 52, Penicillin allergy. + +**Pass criteria:** The fusion point works — the prompt contains both conversation content and record data. If this fails, Day 2 cannot proceed as planned. + +### Integration Test Point 2 — End of Hour 16 (End of Day 2) + +**What:** Full UI end-to-end test. Screen-record a complete demo run of the Mrs Thompson scenario exactly as it would appear in the competition video. + +**How:** +1. Open Clarke in browser. +2. Select Mrs Thompson from patient list. +3. Verify context panel populates with correct data. +4. Click "Start Consultation," play pre-recorded audio. +5. Click "End Consultation." +6. Verify draft letter appears within 60 seconds. +7. Verify letter contains FHIR-sourced lab values. +8. Edit one line, click "Sign Off." +9. Watch screen recording for any glitches. + +**Pass criteria:** The recording is a viable rough-cut demo video. If it's not smooth, Day 3 prioritises bug-fixing over polish. + +### Integration Test Point 3 (Recommended) — Hour 22 (Post-deployment) + +**What:** External access test. Load the live HF Space from a different device/browser (incognito) and run one demo scenario. + +**Pass criteria:** An external user can access the demo, select a patient, and receive a generated letter. No authentication barriers, no CORS errors, no missing assets. + +--- + +## 9. Polish and Submission Prep Allocation + +### Protected time within the 24-hour build: + +| Activity | Allocated Hours | When | +|---|---|---| +| UI visual polish (NHS colours, typography, loading states) | 1h | Hour 21 | +| HF Space deployment + verification | 1h | Hour 22 | +| GitHub repo + README documentation | 1h | Hour 23 | +| Final smoke test + submission checklist | 1h | Hour 24 | +| **Total protected:** | **4h** | Hours 21–24 | + +### Buffer week allocation (Mon 16 – Sun 22 Feb): + +**Monday 16 February — Writeup Day** + +Complete the 3-page writeup for the competition submission. The writeup should use the required Kaggle Writeup template (Project name, Your team, Problem statement, Overall solution, Technical details). It must completely satisfy and exceed every judging criterion to maximise chance of winning. Keep it as high-level and easy-to-read as possible — the host explicitly said "less is more" and to let the video carry most of the conceptual weight. Target ~1,000–1,200 words of text (leaving room for images/diagrams within the ~1,500 word / 3-page limit). Any deferred nice-to-haves (quantitative evaluations, additional code cleanup) that strengthen the writeup should be completed on this day as well. + +**Tuesday 17 February – Saturday 21 February — Video Production (5 days)** + +Complete the 3-minute video. The video is the primary, attention-grabbing medium of communication and carries the heaviest judging weight (Execution & Communication = 30%). It should be optimised to exceed every aspect of the judging criteria: compelling problem storytelling, clear demonstration of the three-model pipeline, visible FHIR-context enrichment in the generated letter, polished screen recordings, professional voiceover, and a cohesive narrative that ties together problem → solution → impact → technical feasibility. Allocate time across these 5 days for: scripting (Tue), screen capture of live demo (Wed), voiceover recording (Thu), editing and polish (Fri–Sat). + +**Sunday 22 February — Submission Day** + +Submit everything as a single Kaggle Writeup package: + +1. 3-page writeup (finalised and submitted via Kaggle Writeups tab) +2. Video (3 minutes or less, linked in writeup) +3. Public code repository (GitHub link in writeup) +4. Public interactive live demo app (HF Space link in writeup) +5. Open-weight Hugging Face model tracing to a HAI-DEF model (HF Hub link in writeup, if LoRA adapter was trained) + +Final verification checklist: all links are public and accessible from incognito browser, video plays without issues, HF Space demo runs end-to-end, GitHub repo has README + licence + docstrings. + +**Hard rule:** Video and writeup are NOT attempted during the 24-hour build (Fri 13 – Sun 15 Feb). Those hours are 100% product engineering. The buffer week exists precisely for communication artefacts and submission preparation. + +--- + +## Appendix: Phase-Risk Cross-Reference + +| Phase | Primary Risk | Fallback Path | Decision Point | +|---|---|---|---| +| 0 | FHIR server setup fails | Mock FHIR API (Risk 5) | If not running by end of Hour 2 | +| 1 | MedGemma 4B tool-calling fails | Deterministic FHIR + summarisation (Risk 2) | If not working by end of Hour 7 | +| 2 | MedGemma 27B won't load/infer | Ollama GGUF or 4B fallback (Risk 1) | If not generating by end of Hour 9 | +| 3 | Time overrun | Cancel nice-to-haves (Risk 3) | Day 2 checkpoint (Hour 16) | +| 4 | LoRA training fails | Base model + prompt engineering | End of Hour 18 | +| 4 | MedASR WER too high | Dictation-style audio (Risk 4) | During Hour 20 evaluation | + +--- + +*This document derives from clarke_PRD_masterplan.md. Every phase, checkpoint, and fallback is traceable to the goals, constraints, risks, and success criteria defined there.* diff --git a/clarke_PRD_masterplan.md b/clarke_PRD_masterplan.md new file mode 100644 index 0000000000000000000000000000000000000000..1cf97df9f59625634d5a0d981fe5ac7d0cec451f --- /dev/null +++ b/clarke_PRD_masterplan.md @@ -0,0 +1,252 @@ +# Clarke — PRD Masterplan + +**Version:** 1.0 | **Date:** 13 February 2026 | **Author:** Project Lead +**Status:** Final — all other PRDs derive from this document +**Competition:** MedGemma Impact Challenge (Kaggle) +**Targets:** Main Track 1st Place ($30,000) + Agentic Workflow Prize ($5,000) + +--- + +## 1. What Are We Building? + +**One sentence:** Clarke is an open-source, privacy-preserving AI system that listens to a clinician–patient consultation, simultaneously retrieves the patient's electronic health record context, and generates a complete, structured NHS clinical document — ready for review and sign-off — using a pipeline of three HAI-DEF medical models (MedASR → MedGemma 4B → MedGemma 27B) running entirely within the hospital network. + +**30-second pitch:** You talk to your patient. Clarke listens. In the background, it pulls the patient's history, medications, recent blood results, and imaging from the electronic health record. By the time you say goodbye, a draft clinic letter — structured to NHS standards, populated with actual investigation values, and chronologically ordered — is waiting on your screen. You review it, edit if needed, sign off. No dictaphone. No secretary. No 15-minute write-up from memory. No logging into five separate systems. Your letter is done before the next patient walks in. And no patient data ever leaves the building. + +**Core architectural concept:** Clarke is a three-model agentic pipeline: + +1. **MedASR** (105M params, `google/medasr`) — converts the consultation audio into a medical transcript. +2. **MedGemma 1.5 4B** (4B params, `google/medgemma-1.5-4b-it`) — acts as an autonomous EHR navigation agent, querying a FHIR server to retrieve and structure the patient's medical context. +3. **MedGemma 27B** (27B params, `google/medgemma-27b-text-it`) — receives both the transcript and the structured patient context as a single prompt, and generates a complete NHS-format clinical document. + +The critical innovation is the **fusion point**: the document generator sees both the conversation and the record simultaneously. No existing product does this. + +--- + +## 2. Who Are We Building It For? + +**Primary target user:** NHS hospital doctors — specifically, consultants and registrars in outpatient clinics and junior doctors on inpatient ward rounds. These clinicians see 10–12 patients per half-day session and must produce a formal clinical letter (or ward round entry) for every encounter. + +**Their clinical context:** These doctors work within the NHS, the UK's publicly funded health system, which employs ~190,200 FTE doctors in England alone [NHS Digital Workforce Statistics, August 2025; GP Workforce, December 2025]. They use fragmented EHR systems (EMIS, SystmOne, Cerner/Oracle Health) where patient data is siloed across multiple modules. + +**Their daily pain points:** + +- **Documentation consumes the majority of their day.** The TACT study (137 NHS doctors, 7 months observation) found doctors spend 73% of their time on non-patient-facing tasks, with only 17.9% on direct patient care [Arab et al., QJM 2025]. Our clinician survey (n=47, Jan–Feb 2026) confirmed documentation takes ~15 minutes per patient encounter. +- **Information retrieval is manual and slow.** To write a single clinic letter, a clinician must log into multiple systems to find lab results, imaging reports, medication lists, and the previous clinic letter. Ward round preparation takes 30–60 minutes for 10–12 patients. +- **The result is burnout and workforce attrition.** 61% of NHS trainees are at moderate or high risk of burnout [GMC NTS 2025]. 42% of medical staff report work-related stress [NHS Staff Survey 2024]. + +**Their workflow today (without Clarke):** Clinician sees the patient → opens 3–5 separate system modules to look up relevant history → conducts the consultation → opens a dictation app or word processor → writes the letter from memory → manually inserts lab values and medication lists → sends to secretary or submits directly → moves to next patient. Elapsed documentation time: ~15 minutes per encounter. Total documentation burden: 2.5–3 hours per clinic session. + +--- + +## 3. Why Are We Building It? + +**Problem statement:** NHS doctors spend four hours on administrative tasks for every one hour with patients. Clinical documentation — letters, discharge summaries, referral notes, ward round entries — consumes the largest share of that time. This documentation requires clinicians to assimilate information scattered across disconnected IT systems, compose structured narratives, and ensure accuracy under severe time pressure. The consequence is a workforce crisis: doctors burning out, patients waiting longer, and safety incidents caused by incomplete or fragmented records. + +**Quantified magnitude:** + +| Dimension | Value | Source | +|---|---|---| +| NHS doctors affected (England) | 190,200 FTE | NHS Digital Aug 2025 + GP Workforce Dec 2025 | +| Time on non-patient tasks | 73% of working day | Arab et al., QJM 2025 (TACT study) | +| Documentation time per encounter | ~15 minutes | MedGamma Clinician Survey, n=47 | +| Clinician-hours freed daily (at 30 min/doctor) | 95,100 hours/day | Calculated: 190,200 × 0.5h | +| Equivalent FTE doctors freed | ~11,888 | Calculated: 95,100h ÷ 8h/day | +| NHS medical vacancies (secondary care) | 7,248 | NHS Digital, Sep 2025 | +| Annual financial value of reclaimed time | £1.07 billion | Calculated: 190,200 × £5,642/yr | +| Burnout reduction from ambient AI (US evidence) | 51.9% → 38.8% at 30 days | Olson et al., JAMA Netw Open 2025 | +| NHS waiting list | 7.31 million cases | BMA/King's Fund, Nov 2025 | +| Outpatient consultations with missing key info | 15% | Burnett et al., BMC Health Serv Res 2011 | +| Annual NHS clinical negligence cost | £4.6 billion | NHS Resolution 2024/25 | + +**Why existing solutions fail:** + +- **Heidi Health / DAX Copilot / Abridge / Nabla / Tortus / Accurx:** All are ambient scribes that generate documents from conversation alone — none integrate EHR data. The output still requires manual enrichment with lab values, medication lists, and imaging results. All are cloud-dependent and closed-source, which creates data sovereignty concerns for the NHS. Heidi charges $99/month per clinician; at scale across the NHS, that's £226M/year. +- **Existing EHR systems (EMIS, SystmOne, Cerner):** Present data in silos. No synthesis, no summarisation, no document generation. +- **The specific gap Clarke fills:** An open-source, fully local system that fuses ambient documentation with intelligent EHR retrieval — producing context-enriched clinical documents without patient data leaving the hospital, at zero per-clinician cost. No existing product does both. + +--- + +## 4. Why Is It Important? + +If Clarke works as designed, the real-world impact is: + +- **Time:** 30 minutes saved per clinician per day [Olson et al., JAMA Netw Open 2025] — equivalent to 11,888 additional FTE doctors across the NHS, exceeding the current 7,248 vacancy count. +- **Burnout:** A 13-percentage-point absolute reduction in burnout prevalence [Olson et al., 2025] and a 21-percentage-point reduction in documentation-specific burnout at 84 days [You et al., JAMA Netw Open 2025]. +- **Patient safety:** Clarke cross-references conversation with record data — flagging discrepancies (e.g., clinician says "no allergies" but record shows penicillin allergy). 15% of NHS outpatient consultations involve missing key clinical information, with 20% of those resulting in documented risk of harm [Burnett et al., 2011]. +- **Cost:** Zero licensing fees versus £226M/year for commercial alternatives at scale. One-time GPU hardware cost of £5k–£15k per trust. +- **Waiting list:** Every hour freed from documentation is an hour available for patient care — directly relevant to the 7.31M patient backlog. + +**Honest caveats:** (1) The 30-minute daily saving comes from US ambulatory care studies, not NHS settings — NHS-specific validation is required. (2) Burnout figures are from self-selected US pilot cohorts with modest response rates. (3) The financial estimate assumes reclaimed time is used productively. (4) AI-generated documents will contain errors — mandatory clinician review is non-negotiable. These caveats are detailed in Clarke_Product_Specification_V2.md §5.2. + +--- + +## 5. What Are the Goals? + +### 5a. Competition Goals + +- **Primary:** Win Main Track 1st Place ($30,000). +- **Secondary:** Win Agentic Workflow Prize ($5,000) — "the project that most effectively reimagines a complex workflow by deploying HAI-DEF models as intelligent agents or callable tools." + +### 5b. Product Goals (What Clarke Must Demonstrate) + +1. A working end-to-end pipeline: audio in → medical transcript → FHIR context retrieval → structured NHS clinical letter out. +2. Three HAI-DEF models operating as autonomous agents within a coordinated workflow. +3. Real-time (or near-real-time) operation: draft letter appears within 60 seconds of clicking "End Consultation." +4. Clinician-facing UI that is polished, intuitive, and demonstrates the complete user journey. +5. Quantitative evaluation showing HAI-DEF model superiority over general-purpose alternatives. + +### 5c. Narrative Goals (Mapped to Judging Criteria) + +| Criterion | Weight | What Clarke's Submission Must Demonstrate | +|---|---|---| +| **Effective use of HAI-DEF models** | 20% | Three HAI-DEF models used purposefully (not superficially). Each chosen over a general-purpose alternative with quantified justification (MedASR vs Whisper: 58–82% fewer errors). Pipeline creates emergent value no single model could achieve. LoRA fine-tuning on MedGemma 27B for NHS letter generation. Public LoRA adapter on HF Hub. | +| **Problem Domain** | 15% | Captivating story rooted in NHS workforce crisis with peer-reviewed evidence. Clear target user (NHS doctors). Quantified unmet need. Named competitors and why each falls short. | +| **Impact Potential** | 15% | Specific, sourced impact estimates (£1.07B, 11,888 FTE equivalent). Honest caveats clearly stated. Burnout reduction evidence from JAMA. | +| **Product Feasibility** | 20% | Working live demo on Hugging Face Spaces. Complete technical stack documented. Fine-tuning methodology specified. Performance evaluation (WER, BLEU, ROUGE-L, fact recall). Deployment challenges with specific mitigations. | +| **Execution & Communication** | 30% | Polished 3-minute video demonstrating full pipeline. Concise writeup (≤1,500 words) following the required template. Clean, annotated public GitHub repo. Public HF Space with live demo. Cohesive narrative across all materials. | + +--- + +## 6. What Are the Constraints? + +| Constraint | Detail | +|---|---| +| **Time** | 24 working hours (3 days × 8 hours: Fri 13 – Sun 15 Feb). | +| **Team** | Solo developer (with AI coding assistants: Claude Code / Codex). | +| **Writeup** | ≤3 pages (~1,500 words; ~1,000–1,200 with images). Kaggle Writeup format (not PDF). Must follow required template: Project name, Team, Problem statement, Overall solution, Technical details. | +| **Video** | ≤3 minutes. Must demonstrate the application and address judging criteria. | +| **HAI-DEF requirement** | Must use at least one HAI-DEF model. Clarke uses three (MedASR, MedGemma 4B, MedGemma 27B). | +| **Demo standard** | Judges evaluate as a demonstration application, not a production system [Yun Liu, competition discussion]. Regulatory pathway is not the focus. | +| **Special track** | One selection only. Targeting Agentic Workflow Prize. | +| **Submission format** | Kaggle Writeup (one per team, editable and re-submittable before deadline). | +| **Winner licence** | CC BY 4.0 for code/demos if selected as winner. HAI-DEF model weights remain under their own licence. | +| **GPU availability** | MedGemma 27B requires ~54GB VRAM unquantised. 4-bit NF4 quantisation fits on A100 40GB. Vertex AI A100 quota requests reportedly being rejected. Fallback: GGUF quantisation via Ollama (Q8_0 = 31.8GB). HF Spaces with A100 40GB is the primary deployment target. | +| **Data** | No dataset provided. All data must be sourced (Synthea synthetic patients) or generated (synthetic transcripts/letters via Claude API). Non-commercial datasets are permitted [Daniel Golden, competition forum]. | +| **Language** | Submissions must be in English. | +| **Team size cap** | Maximum 5 members. | + +--- + +## 7. What Are the Non-Goals? + +We are explicitly **not** building or pursuing the following: + +1. **Production-grade security or HIPAA/GDPR compliance.** This is a demo. Judges have confirmed regulatory pathway is not the evaluation focus. +2. **Real patient data handling.** All demo data is synthetic (Synthea-generated). No consent, anonymisation, or IG approvals needed for the demo. +3. **EHR write-back.** Clarke generates documents for export (PDF, clipboard, FHIR DocumentReference) but does not write back into any EHR system. Write-back is a Phase 2 production feature. +4. **Multi-language support.** English only for the demo. +5. **Mobile deployment / Edge AI.** Clarke targets the Agentic Workflow Prize, not Edge AI. The demo runs on a GPU server, not on-device. +6. **Multi-trust deployment or scalability testing.** Demo uses a single HAPI FHIR server with 50 synthetic patients. +7. **Comprehensive MedASR accent adaptation.** If base MedASR WER is acceptable (<10%) on our demo audio, we document accent fine-tuning as a production requirement rather than implementing it within the 24-hour build. +8. **Ward Round mode (if time-constrained).** The clinic letter pipeline is the priority. Ward Round mode is a stretch goal for Day 3. + +--- + +## 8. What Are the Key Risks and Mitigations? + +| # | Risk | Severity | Mitigation / Fallback | +|---|---|---|---| +| 1 | **MedGemma 27B deployment fails** (OOM, quota rejection, >60s inference). Known issue: requires ~54GB VRAM; Vertex AI quotas being rejected. | Critical | Primary: 4-bit NF4 quantisation via bitsandbytes on A100 40GB (fits in ~16GB VRAM). Fallback 1: GGUF Q8_0 via Ollama (31.8GB). Fallback 2: Use MedGemma 4B with heavy prompt engineering for document generation (reduced quality but functional demo). | +| 2 | **MedGemma 4B instruction-following bugs** (leaks system prompts, generates meta-commentary, outputs training artifacts). Known issue from competitor reports. | High | Thorough prompt engineering with explicit output format constraints. Robust output parsing that strips meta-commentary and extracts structured JSON only. Testing with ≥5 patient scenarios before integration. If unusable as LangGraph agent: fall back to deterministic FHIR queries with MedGemma 4B used only for context summarisation (not tool-calling). | +| 3 | **Time overrun — 24 hours is insufficient** to build pipeline + UI + fine-tune + evaluate + deploy. | High | Strict hour-by-hour schedule (see clarke_PRD_implementation.md). Prioritised must-have vs nice-to-have list (Section 12 below). Cut fine-tuning if behind schedule (use base MedGemma 27B with extensive prompt engineering). Cut Ward Round mode. Cut MedASR evaluation against Whisper. | +| 4 | **MedASR ambient performance degrades significantly** vs. single-speaker dictation. MedASR was trained on dictation, not two-party conversation. | Medium | Use high-quality pre-recorded demo audio (clear, studio conditions, 16kHz WAV). If WER >15% on ambient clips: use dictation-style audio for demo (clinician dictates post-consultation rather than ambient capture). Document ambient limitation as a production fine-tuning target. | +| 5 | **HAPI FHIR server setup is slow or fails** within HF Spaces Docker environment. | Medium | Pre-build and test the Docker configuration locally before deploying to HF Spaces. Fallback: replace live FHIR server with a mock FHIR API (FastAPI endpoints returning pre-loaded Synthea JSON). The demo UX is identical either way. | +| 6 | **Fine-tuning MedGemma 27B exceeds A100 40GB VRAM or takes >3 hours.** | Medium | QLoRA with 4-bit base reduces training VRAM to ~20GB. If still OOM: reduce LoRA rank from 16 to 8, reduce max_seq_length from 4096 to 2048, reduce training set from 250 to 100 examples. If training exceeds time budget: skip fine-tuning, use base model with engineered prompts, document fine-tuning plan in writeup. | +| 7 | **Synthetic training data quality is poor** (Claude-generated triplets are clinically implausible or badly formatted). | Medium | Manually review 20 of 250 training samples before committing to fine-tuning. If >20% fail quality check: regenerate with revised prompts, or reduce to a smaller but manually curated set. | + +--- + +## 9. What Makes Clarke Superior? + +### vs. Commercial Alternatives (Heidi Health, DAX Copilot, Nabla, Tortus, Accurx) + +1. **Record context integration.** Every commercial ambient scribe generates documents from conversation alone. Clarke fuses conversation with actual EHR data — lab values, medication lists, allergy flags — producing documents no conversation-only scribe can match. This is a structural architectural advantage, not a feature that competitors can easily bolt on (their cloud architecture has no connection to the hospital's FHIR server). +2. **Privacy by design.** All processing is local. Zero patient data leaves the hospital. This directly addresses the NHS's most critical barrier to AI adoption (data sovereignty), which every cloud-dependent competitor fails. +3. **Zero marginal cost.** Open-source, open-weight. NHS trusts pay for GPU hardware once (~£5k–£15k) versus >£2M/year in licensing fees for Heidi at scale across a trust. +4. **Auditability.** Open code and open model weights satisfy NHS Information Governance requirements for AI transparency. Commercial scribes are black boxes. +5. **NHS-specific format.** Fine-tuned on NHS clinical letter conventions, not US SOAP notes. + +### vs. Likely Competing Submissions + +Based on the current Kaggle leaderboard (129 submissions from 5,855 entrants as of 12 Feb), the most visible submissions are medical chatbots, radiology triage tools, and single-model applications. Clarke's advantages: + +1. **Three-model agentic pipeline.** Most submissions use one HAI-DEF model. Clarke uses three in a coordinated pipeline, directly addressing the "fullest potential" criterion. +2. **Clinician-validated problem.** Backed by a 47-respondent clinician survey and five peer-reviewed studies, not hypothetical. +3. **Real EHR integration (via FHIR).** Most submissions don't touch EHR data. Clarke's FHIR agent demonstrates a production-plausible integration path. +4. **Fine-tuned model with public adapter.** Releasing a LoRA adapter on HF Hub is a bonus submission element that few competitors will have. + +### Unfair advantage + +The project lead is an NHS clinician who has lived the problem, conducted the clinician survey, and can articulate the pain with first-hand specificity. This authenticity will be visible in the video and writeup — something no purely technical team can replicate. + +--- + +## 10. How Does Clarke Align to the Judging Criteria? + +| Criterion (Weight) | Clarke's Alignment | How We Score Maximally | +|---|---|---| +| **Effective use of HAI-DEF models (20%)** | Three HAI-DEF models, each chosen with quantified justification over general alternatives. Pipeline creates emergent value (conversation + record context → enriched document). LoRA fine-tuning adapts MedGemma 27B beyond its default task. MedGemma 1.5 4B's new EHR understanding capability is directly exploited. | Publish LoRA adapter on HF Hub. Include WER comparison (MedASR vs Whisper). Show pipeline synergy explicitly in video (side-by-side: transcript-only letter vs context-enriched letter). | +| **Problem Domain (15%)** | NHS workforce crisis backed by TACT study, GMC NTS 2025, BMA data, and a 47-respondent clinician survey. Clear target user (NHS doctors). Named competitors with specific shortcomings. | Open the video with a compelling human story (the 4:1 admin-to-patient ratio). Use one powerful survey quote. Keep the problem statement visceral, not abstract. | +| **Impact Potential (15%)** | £1.07B annual value. 11,888 FTE equivalent. 13-point burnout reduction. Each estimate sourced from peer-reviewed literature. Honest caveats included. | Present a single high-impact table in the writeup. State caveats upfront — honesty builds credibility with Google Research judges. | +| **Product Feasibility (20%)** | Working live demo on HF Spaces. Complete tech stack. Evaluation metrics (WER, BLEU, ROUGE-L, fact recall). Deployment challenges with specific mitigations. Production path described. | Ensure the demo works flawlessly for the video. Include one quantitative evaluation chart in writeup. Address GPU cost and NHS accent diversity in deployment section. | +| **Execution & Communication (30%)** | Polished video ≤3 min. Writeup ≤1,500 words following template. Public GitHub repo with clean code and README. Public HF Space. Public HF LoRA adapter. Cohesive narrative across all materials. | Video: high production value (screen recording with voiceover, not talking head). Writeup: every word earns its place. Code: module-level docstrings, inline comments, architecture diagram in README. Narrative: "3 models, 1 pipeline, 0 data leaves" as recurring motif. | + +--- + +## 11. Quantifiable Success Criteria + +The project is complete and competition-ready when ALL of the following are true: + +| # | Criterion | Measurable Threshold | +|---|---|---| +| 1 | End-to-end pipeline runs | Select patient → record audio → stop → draft letter appears. No crashes. | +| 2 | Draft letter latency | <60 seconds from "End Consultation" click to rendered letter. | +| 3 | Draft letter quality | 5/5 demo scenario letters are clinically coherent, include FHIR-sourced values, and follow NHS letter structure (manual review). | +| 4 | MedASR evaluation | WER computed on ≥20 test clips. MedASR WER < Whisper WER on medical dictation. | +| 5 | EHR Agent evaluation | Fact recall >85%, precision >90%, hallucination rate <10% on 20 test patients. | +| 6 | Fine-tuned MedGemma 27B | LoRA adapter trained. BLEU/ROUGE-L computed on 50 test triplets. Fine-tuned scores > baseline. | +| 7 | Live public demo | HF Space URL is accessible from any browser (incognito test). | +| 8 | Public code repository | GitHub repo is public. Contains README with architecture diagram, setup instructions, evaluation results, licence. All .py files have docstrings. | +| 9 | Public LoRA adapter | HF Hub model repo is public, traces to `google/medgemma-27b-text-it`. | +| 10 | Video | ≤3 minutes. Demonstrates complete pipeline. Covers all 5 judging criteria. Visually polished. | +| 11 | Writeup | ≤1,500 words. Follows required template (Project name, Team, Problem statement, Overall solution, Technical details). All required links included. | +| 12 | Kaggle submission | Writeup submitted via Kaggle Writeups tab. Agentic Workflow Prize selected. | + +--- + +## 12. Must-Haves vs. Nice-to-Haves + +If time runs short, protect everything above the line. Cut everything below. + +### Must-Haves (Non-Negotiable) + +1. **Working MedASR transcription pipeline** — audio in, text out. +2. **Working MedGemma 4B EHR Agent** — patient ID in, structured context JSON out (even if from mock FHIR API). +3. **Working MedGemma 27B document generation** — transcript + context in, NHS letter out (even with base model, no fine-tuning). +4. **End-to-end orchestration** — all three stages connected and producing output from a single user action. +5. **Functional Gradio UI** — patient selection, recording controls, context panel, document display, basic editing. +6. **3 demo scenarios tested** — Mrs Thompson (diabetes), Mr Okafor (chest pain), Ms Patel (asthma). Pre-recorded audio. +7. **Public HF Space deployment** — live, accessible demo. +8. **Public GitHub repo** — clean code, README, licence. +9. **3-minute video** (can be recorded Mon 16 Feb). +10. **Writeup** (can be written Mon 16 Feb). + +### Nice-to-Haves (Cut If Behind Schedule) + +11. LoRA fine-tuning of MedGemma 27B (fall back to prompt engineering). +12. Public HF LoRA adapter repo. +13. Quantitative MedASR evaluation (WER comparison vs Whisper). +14. Quantitative EHR Agent evaluation (fact recall, precision). +15. BLEU/ROUGE-L evaluation of document generation. +16. Ward Round mode. +17. Discrepancy flagging (allergy mismatch alerts). +18. PDF export functionality. +19. FHIR DocumentReference export. +20. NHS Design System visual polish (accessibility scores, responsive breakpoints). + +**Decision rule:** At the end of Day 2 (Hour 16), assess progress against the must-have list. If ≥2 must-haves are incomplete, cancel all nice-to-haves and focus exclusively on completing the core pipeline and deployment. + +--- + +*This document is the north star for all Clarke PRDs. Every implementation decision, design choice, and task-level instruction in the derivative PRDs must be traceable to a goal, constraint, or success criterion defined here.* diff --git a/clarke_PRD_rules.md b/clarke_PRD_rules.md new file mode 100644 index 0000000000000000000000000000000000000000..a3a8e5bde93d1bae4c7fee0e56276135e704c1b9 --- /dev/null +++ b/clarke_PRD_rules.md @@ -0,0 +1,119 @@ +# Clarke — PRD Rules (Agent Behavioural Contract) + +**Version:** 1.0 | **Date:** 13 February 2026 | **Author:** Project Lead +**Status:** Final — governs AI agent (Codex) behaviour throughout the entire build +**Parent document:** clarke_PRD_masterplan.md +**Scope:** Agent execution behaviour, communication, error handling, coding standards, decision-making +**Not in scope:** What to build (technical_spec.md), build order (tasks.md), visual design (design_guidelines.md), user journey (userflow.md) + +**Load this file at the start of every session. It governs how you work, not what you build.** + +--- + +## 1. Task Execution Protocol + +1. **Read each task fully before writing any code.** Never skip ahead. Never combine tasks unless tasks.md explicitly batches them. +2. **Follow this execution cycle for every task:** Read → Explain → Execute → Explain → Verify → Report. +3. **Never mark a task complete until its verification method passes.** If verification fails, fix and re-verify. Do not move on. +4. **Never silently skip a task or sub-step.** If you cannot complete something, stop and explain why. +5. **When in doubt, ask. Never guess.** If a task requires a decision not covered by the PRDs, ask the user before proceeding. + +--- + +## 2. Communication Standards + +**Before each task:** Explain in 2–3 plain sentences what you are about to do and why. A non-technical person should understand. + +**After each task:** State what was done, list every file created or modified, and report the verification result (pass/fail). + +**When something unexpected happens** (version conflict, deprecation warning, model behaving unexpectedly): flag it immediately and explicitly. Do not bury it in output. + +**When you encounter an error:** State the error, your diagnosis, your planned fix, then execute the fix. Narrate your debugging so the user can follow. + +**Formatting rules:** +- Code in code blocks. File paths in backticks. Clear separation between explanation and code output. +- Keep explanations concise. No filler. No self-praise. No unnecessary caveats. State facts. + +--- + +## 3. Code Quality Standards + +1. **Every function must have a docstring** with a one-line summary, parameter types, and return type. +2. **Comments explain why, not what.** Do not restate the code in English. +3. **Follow the directory tree in technical_spec.md §1 exactly.** Do not create files outside the defined tree without asking. +4. **Use the exact package versions in technical_spec.md §2.** Do not upgrade or substitute libraries without asking. +5. **All names (variables, functions, files) must be descriptive** and consistent with conventions established in the first tasks. +6. **Never leave TODO comments, placeholder code, or incomplete implementations** without explicitly flagging them to the user. +7. **Never use `print()` for debugging in committed code.** Use `loguru` as defined in technical_spec.md §10c: + ```python + from loguru import logger + logger.bind(component="module_name").info("Message", key=value) + ``` +8. **Write tests alongside functions.** Every new testable function gets a corresponding test immediately — do not wait for a dedicated testing task. + +--- + +## 4. Error Handling Protocol + +**When a verification step fails:** + +1. Read the full error message. +2. Diagnose the most likely root cause. +3. State your diagnosis to the user. +4. Implement the fix. +5. Re-run verification. +6. If it fails with a **different** error, repeat from step 1. +7. If it fails with the **same** error after **3 attempts**, STOP and ask the user for guidance. Do not loop. + +**When a known risk materialises** (e.g., MedGemma 27B OOM, MedGemma 4B instruction-following failure, FHIR server setup failure): immediately reference the fallback path from implementation.md §7 and tasks.md Appendix A. State: *"Known risk triggered. Switching to Fallback Path [X]."* Do not attempt to force the original approach. + +**In all code:** Never suppress, catch-and-ignore, or silently swallow errors. Every error must be logged and either handled with a specific recovery action or surfaced to the user. + +--- + +## 5. Decision-Making Rules + +1. **PRD documents are the source of truth.** If your training knowledge conflicts with a PRD specification, follow the PRD. +2. **If two PRDs conflict,** flag the conflict and ask which takes precedence. Do not resolve conflicts silently. +3. **If a task is ambiguous,** ask for clarification. Do not choose an interpretation. +4. **If you discover a better approach** (more efficient library, simpler architecture), propose it with a clear tradeoff explanation. Do NOT implement without approval. +5. **Prioritise working software over perfect software.** Ship the feature, then refine. No premature optimisation unless the task explicitly calls for it. +6. **If you are uncertain your implementation is correct** (guessing at a model's input format, unsure a library supports a method), say so explicitly: *"I'm not certain this is correct because [reason]. I recommend we verify before proceeding."* Never write confident code based on uncertain knowledge. Admitting uncertainty upfront wastes less time than fabricating plausible-looking code that doesn't work. + +--- + +## 6. Context Management + +1. **At the start of each phase** (as defined in tasks.md Appendix B), confirm which PRD files are loaded and ask for any that are missing. +2. **If your context window is getting large** and performance degrades, tell the user proactively: *"My context is getting long. I recommend starting a fresh session with [specific PRD files] loaded for the next phase."* +3. **Never hallucinate PRD contents.** If you need information from a file not in your current context, ask the user to provide it. +4. **When resuming mid-build in a new session,** before proceeding: (a) confirm which PRD files are loaded, (b) list the project directory and check key files, (c) run the full test suite, (d) report what's passing and what's not. Never assume the codebase is in a good state just because the user says "continue from Task N." + +--- + +## 7. Regression Awareness + +1. **Before modifying any existing file, read its current state first.** Do not overwrite working code with assumptions. +2. **When modifying code from previous tasks,** re-run the relevant previous tests — not just the current task's verification. +3. **At phase checkpoints,** run the full test suite as specified in tasks.md. + +--- + +## 8. Speed and Efficiency + +1. **Do not ask for confirmation on decisions clearly specified in the PRDs.** Just do them. +2. **Do not re-read or re-summarise PRD files between tasks** within the same session. Carry the context forward. +3. **Batch boilerplate work.** When creating repetitive files (e.g., multiple similar data models), create them together rather than one per conversation turn. +4. **Copy specifications verbatim** (JSON schemas, directory trees, config values) rather than retyping them — transcription errors waste time. + +--- + +## 9. Progress Tracking + +1. **At each phase checkpoint,** report: tasks complete out of total, which phase just finished, elapsed time vs. estimated time from implementation.md §3. +2. **If a phase took 50%+ over its estimate,** proactively flag it: *"Phase X took [Y] hours vs [Z] estimated. At this pace, we may need buffer week time for [remaining phases]. Consider deprioritising Polish tasks."* +3. **If the user asks "how are we tracking?",** give an honest assessment against the implementation timeline. No optimistic spin. + +--- + +*This document governs Codex behaviour for the entire Clarke build. Re-read it at the start of every session. All execution decisions defer to this contract; all technical decisions defer to the other PRDs.* diff --git a/clarke_PRD_tasks.md b/clarke_PRD_tasks.md new file mode 100644 index 0000000000000000000000000000000000000000..ceec09cd8e52cef919a65e2715d2f96d9e8b1dba --- /dev/null +++ b/clarke_PRD_tasks.md @@ -0,0 +1,1306 @@ +# Clarke — PRD Tasks (Build Execution Plan) + +**Version:** 1.0 | **Date:** 13 February 2026 | **Author:** Project Lead +**Status:** Final — step-by-step execution plan for AI coding agent (Codex) +**Parent document:** clarke_PRD_masterplan.md +**Scope:** Ordered, atomic task list with verification criteria for every step of the Clarke build +**Not in scope:** Strategic rationale (masterplan.md), visual styling (design_guidelines.md), user journey detail (userflow.md), architecture blueprints (technical_spec.md). Tasks reference these documents where needed. + +--- + +## Summary Table + +| Task | Title | Priority | Prerequisites | Est. Time | +|------|-------|----------|---------------|-----------| +| 0 | Read & Confirm Understanding | Core | None | 15 min | +| 1 | Create Project Directory Structure | Core | T0 | 15 min | +| 2 | Configuration & Environment Setup | Core | T1 | 20 min | +| 3 | Pydantic Data Models & Schemas | Core | T1 | 30 min | +| 4 | Synthetic FHIR Patient Data | Core | T3 | 45 min | +| 5 | Mock FHIR API Server | Core | T4 | 30 min | +| 6 | Demo Audio Files & Transcripts | Core | T1 | 30 min | +| 7 | **Phase 0 Checkpoint** | Core | T2,T5,T6 | 10 min | +| 8 | MedASR Model Loading & Audio Preprocessing | Core | T7 | 30 min | +| 9 | MedASR Transcription Pipeline | Core | T8 | 30 min | +| 10 | FHIR Client & Tool Functions | Core | T5 | 30 min | +| 11 | MedGemma 4B EHR Agent — Loading & Context Retrieval | Core | T10 | 45 min | +| 12 | Orchestrator — Pipeline Coordinator | Core | T9,T11 | 45 min | +| 13 | Prompt Templates (EHR Agent + Document Generation) | Core | T12 | 30 min | +| 14 | **Phase 1 Checkpoint — Integration Test Point 1** | Core | T13 | 20 min | +| 15 | MedGemma 27B Loading & Baseline Generation | Core | T14 | 45 min | +| 16 | Document Generation Prompt Engineering | Core | T15 | 30 min | +| 17 | End-to-End Backend Pipeline Wiring | Core | T16 | 30 min | +| 18 | Pipeline Hardening — Error Handling & Timeouts | Core | T17 | 30 min | +| 19 | **Phase 2 Checkpoint** | Core | T18 | 15 min | +| 20 | Gradio Theme & CSS Setup | Core | T19 | 30 min | +| 21 | Gradio UI — Core Layout & Dashboard (S1) | Core | T20 | 45 min | +| 22 | Gradio UI — Patient Context & Recording (S2, S3) | Core | T21 | 45 min | +| 23 | Gradio UI — Processing, Review & Sign-off (S4, S5, S6) | Core | T22 | 45 min | +| 24 | UI ↔ Backend Data Binding | Core | T23 | 45 min | +| 25 | End-to-End Demo Scenario Testing (3 patients) | Core | T24 | 30 min | +| 26 | **Phase 3 Checkpoint — Integration Test Point 2** | Core | T25 | 20 min | +| 27 | Synthetic Training Data Generation | Polish | T26 | 45 min | +| 28 | LoRA Fine-tuning MedGemma 27B | Polish | T27 | 90 min | +| 29 | MedASR Evaluation (WER) | Polish | T26 | 30 min | +| 30 | EHR Agent Evaluation (Fact Recall) | Polish | T26 | 30 min | +| 31 | Document Generation Evaluation (BLEU/ROUGE-L) | Polish | T28 or T26 | 30 min | +| 32 | UI Visual Polish | Polish | T26 | 45 min | +| 33 | **Phase 4 Checkpoint** | Core | T26 + any completed T27–T32 | 15 min | +| 34 | HF Space Deployment | Core | T33 | 45 min | +| 35 | HF Hub LoRA Adapter Publication | Polish | T28,T34 | 20 min | +| 36 | GitHub Repo & README | Core | T34 | 45 min | +| 37 | Final Smoke Test & Submission Checklist | Core | T36 | 30 min | +| 38 | **Phase 5 Checkpoint — Final** | Core | T37 | 15 min | + +**Total: 39 tasks. Estimated: ~20 hours of active work + 4 hours buffer.** + +--- + +## PHASE 0 — Environment & Data Foundation (Hours 1–3) + +**Phase goal:** Running project with configuration, synthetic FHIR data, mock FHIR API, and demo audio assets — everything downstream tasks depend on. +**Estimated time:** 3 hours +**Day-end checkpoint contribution:** Provides foundation for Day 1 (Hours 1–8). +**Context required:** `clarke_PRD_technical_spec.md` (§1–§3, §7–§8). + +--- + +### Task 0: Read & Confirm Understanding + +**Prerequisites:** None +**Priority:** Core + +**Description:** +Before writing any code, read ALL of the following PRD files completely: +1. `clarke_PRD_masterplan.md` — vision, goals, constraints, success criteria +2. `clarke_PRD_implementation.md` — build phases, time allocation, dependency graph, fallback paths +3. `clarke_PRD_design_guidelines.md` — colour tokens, typography, spacing, animations +4. `clarke_PRD_userflow.md` — screens, states, navigation, demo golden path +5. `clarke_PRD_technical_spec.md` — directory tree, tech stack, data models, API contracts, model serving + +After reading, output a structured summary demonstrating comprehension: +- **Product vision** (1–2 sentences from masterplan) +- **Number of screens** to build (from userflow) +- **Number of API endpoints** (from technical_spec §5) +- **The three HAI-DEF models**, their HuggingFace IDs, and their roles in the pipeline +- **Top 3 technical risks** and their fallback paths (from masterplan §8) +- **Must-have list** (from masterplan §12) — list all 10 items + +**Files created or modified:** None +**"Done" criteria:** Summary is output and contains all 6 items listed above with correct details. +**Verification method:** Manual review of output. Spot-check: MedGemma 4B model ID should be `google/medgemma-1.5-4b-it` (not 1.0). Number of screens should be 6 (S1–S6). Number of API endpoints should be 12. +**If this fails:** Re-read the specific PRD where the information was missed. + +--- + +### Task 1: Create Project Directory Structure + +**Prerequisites:** Task 0 +**Priority:** Core + +**Description:** +Create the complete Clarke project directory tree exactly as defined in `clarke_PRD_technical_spec.md` §1. Create all directories and empty `__init__.py` files. Create placeholder files (empty or with a single docstring comment) for every file listed in the tree. + +The top-level directory is `clarke/`. Key subdirectories: +- `backend/` — orchestrator, api, config, models/, fhir/, prompts/, schemas, audio, errors, utils +- `frontend/` — ui, theme, components, state, assets/ +- `data/` — synthea/, fhir_bundles/, demo/, training/ +- `finetuning/` — train_lora, generate_training_data, merge_adapter +- `evaluation/` — eval_medasr, eval_ehr_agent, eval_doc_gen, gold_standards/ +- `tests/` — test files for each component +- `scripts/` — start.sh, health_check.sh, setup_fhir.sh +- Root files: app.py, Dockerfile, requirements.txt, .env.template, README.md, LICENSE + +**Files created or modified:** All files and directories in the tree (~60 files). +**"Done" criteria:** The directory tree matches `clarke_PRD_technical_spec.md` §1 exactly. All `__init__.py` files exist. All placeholder files exist. +**Verification method:** `find clarke/ -type f | sort` output matches the spec tree. `python -c "import backend; import frontend"` succeeds (empty packages import fine). +**If this fails:** Compare find output to spec tree line-by-line and create missing files. + +--- + +### Task 2: Configuration & Environment Setup + +**Prerequisites:** Task 1 +**Priority:** Core + +**Description:** +2a. **`.env.template`** — Populate with all environment variables from `clarke_PRD_technical_spec.md` §3a. Include every variable with its default value and comment. + +2b. **`backend/config.py`** — Create a centralised configuration module using `pydantic-settings` (or `python-dotenv` + dataclass). Load all env vars from `.env`. Include defaults matching the `.env.template`. Key config values: +- Model IDs: `MEDASR_MODEL_ID=google/medasr`, `MEDGEMMA_4B_MODEL_ID=google/medgemma-1.5-4b-it`, `MEDGEMMA_27B_MODEL_ID=google/medgemma-27b-text-it` +- FHIR: `FHIR_SERVER_URL=http://localhost:8080/fhir`, `USE_MOCK_FHIR=true`, `FHIR_TIMEOUT_S=10` +- App: `APP_PORT=7860`, `PIPELINE_TIMEOUT_S=120`, `DOC_GEN_MAX_TOKENS=2048`, `DOC_GEN_TEMPERATURE=0.3` +- Fine-tuning: `LORA_RANK=16`, `LORA_ALPHA=32`, `LEARNING_RATE=2e-4`, `TRAINING_EPOCHS=3` + +2c. **`requirements.txt`** — List all dependencies with pinned versions from `clarke_PRD_technical_spec.md` §2. Include: torch, transformers, bitsandbytes, accelerate, peft, trl, datasets, gradio, fastapi, uvicorn, httpx, pydub, librosa, jinja2, jiwer, rouge_score, sacrebleu, reportlab, wandb, huggingface_hub, python-dotenv, loguru, pydantic. + +2d. **`Dockerfile`** — Create the Dockerfile exactly as specified in `clarke_PRD_technical_spec.md` §3b. + +2e. **`LICENSE`** — Apache 2.0 licence file. + +2f. **`backend/errors.py`** — Create custom exception classes and logging configuration using loguru (see `clarke_PRD_technical_spec.md` §10c). + +2g. **`backend/utils.py`** — Create shared utilities: timing decorator, JSON sanitisation function. + +**Files created or modified:** `.env.template`, `backend/config.py`, `requirements.txt`, `Dockerfile`, `LICENSE`, `backend/errors.py`, `backend/utils.py` +**"Done" criteria:** `python -c "from backend.config import Settings; s = Settings(); print(s.MEDASR_MODEL_ID)"` prints `google/medasr`. All files exist and contain the specified content. +**Verification method:** Run the Python import command above. `cat requirements.txt | grep transformers` returns a version. `cat Dockerfile | grep nvidia` returns the CUDA base image line. +**If this fails:** Debug import errors. Ensure `.env` file exists (copy from `.env.template`). + +--- + +### Task 3: Pydantic Data Models & Schemas + +**Prerequisites:** Task 1 +**Priority:** Core + +**Description:** +Implement ALL Pydantic v2 data models in `backend/schemas.py` exactly as defined in `clarke_PRD_technical_spec.md` §4. This includes: + +- **Enums:** `ConsultationStatus` (idle, recording, paused, processing, review, signed_off), `PipelineStage` (transcribing, retrieving_context, generating_document, complete, failed) +- **Models:** `Patient`, `LabResult`, `PatientContext`, `Transcript`, `DocumentSection`, `ClinicalDocument`, `Consultation`, `PipelineProgress`, `ErrorResponse` + +Copy the exact field definitions, types, descriptions, and defaults from §4. Include all docstrings. + +Also create `tests/test_schemas.py`: +- Test that each model validates with valid fixture data. +- Test that each model rejects invalid data (wrong types, missing required fields). +- Test enum values are correct. + +**Files created or modified:** `backend/schemas.py`, `tests/test_schemas.py` +**"Done" criteria:** `pytest tests/test_schemas.py` passes with 0 failures. +**Verification method:** `pytest tests/test_schemas.py -v` +**If this fails:** Check field types and defaults against the spec. Common issue: `list[str]` syntax requires `from __future__ import annotations`. + +--- + +### Task 4: Synthetic FHIR Patient Data + +**Prerequisites:** Task 3 +**Priority:** Core + +**Description:** +Create FHIR Bundle JSON files for 5 demo patients in `data/fhir_bundles/`. These are pre-built JSON files that the mock FHIR API will serve. Each patient needs: + +- **Patient resource** (demographics, NHS number, GP) — format per `clarke_PRD_technical_spec.md` §8c +- **Condition resources** (active diagnoses with SNOMED codes) — format per §8f +- **MedicationRequest resources** (current medications with BNF names, doses) +- **Observation resources** (recent lab results with LOINC codes, mmol/L units, reference ranges) — format per §8d +- **AllergyIntolerance resources** (allergies with reactions, severity) — format per §8e +- **DiagnosticReport resources** (imaging/reports) + +Create one JSON Bundle file per patient: `pt-001.json` through `pt-005.json`. + +**The 5 demo patients** (from `clarke_PRD_technical_spec.md` §8b): + +| ID | Name | Age/Sex | Scenario | Key Data | +|---|---|---|---|---| +| pt-001 | Mrs. Margaret Thompson | 67F | T2DM, rising HbA1c | HbA1c 55 mmol/mol (was 48), eGFR 52, Penicillin allergy, Metformin 1g BD, Gliclazide 40mg OD | +| pt-002 | Mr. Emeka Okafor | 54M | Chest pain post-angiography | Normal coronaries, Troponin negative, BP 148/92, Aspirin 75mg, Atorvastatin 40mg | +| pt-003 | Ms. Priya Patel | 28F | Asthma review | Peak flow 320 (pred 450), Salbutamol 4x/week, no preventer currently | +| pt-004 | Mr. David Williams | 72M | Heart failure review | EF 35%, BNP 450 pg/mL, Bisoprolol 5mg, Ramipril 5mg, Furosemide 40mg | +| pt-005 | Mrs. Fatima Khan | 45F | Depression follow-up | PHQ-9 score 12, Sertraline 100mg | + +Also create `data/clinic_list.json` exactly as specified in `clarke_PRD_technical_spec.md` §8h. + +**Files created or modified:** `data/fhir_bundles/pt-001.json` through `pt-005.json`, `data/clinic_list.json` +**"Done" criteria:** All 5 JSON files are valid JSON. Each contains at minimum: 1 Patient, 2+ Conditions, 2+ MedicationRequests, 3+ Observations, 1+ AllergyIntolerance. `data/clinic_list.json` lists all 5 patients. `python -c "import json; [json.load(open(f'data/fhir_bundles/pt-00{i}.json')) for i in range(1,6)]"` succeeds. +**Verification method:** Run the Python JSON validation command above. Manually inspect `pt-001.json` to confirm Mrs Thompson has HbA1c=55, eGFR=52, Penicillin allergy. +**If this fails:** Fix JSON syntax errors. Ensure FHIR resource structure matches the examples in technical_spec §8c–§8f. + +--- + +### Task 5: Mock FHIR API Server + +**Prerequisites:** Task 4 +**Priority:** Core + +**Description:** +Implement `backend/fhir/mock_api.py` — a FastAPI application that serves FHIR-like REST endpoints using the pre-built JSON files from `data/fhir_bundles/`. This is the default for development and HF Spaces deployment (`USE_MOCK_FHIR=true`). + +Endpoints to implement (mirroring HAPI FHIR patterns from `clarke_PRD_technical_spec.md` §7c): + +``` +GET /fhir/Patient/{patient_id} → returns Patient resource +GET /fhir/Patient?name={name}&_count=10 → search patients by name +GET /fhir/Condition?patient={id}&clinical-status=active → patient conditions +GET /fhir/MedicationRequest?patient={id}&status=active → patient medications +GET /fhir/Observation?patient={id}&category=laboratory&_sort=-date&_count=20 → lab results +GET /fhir/AllergyIntolerance?patient={id} → patient allergies +GET /fhir/DiagnosticReport?patient={id}&_sort=-date&_count=5 → reports +GET /fhir/Encounter?patient={id}&_sort=-date&_count=3 → recent encounters +``` + +The mock API loads all JSON bundles from `data/fhir_bundles/` at startup and indexes them by patient ID and resource type. Each endpoint filters and returns the appropriate resources in FHIR Bundle format. + +Also create `tests/test_fhir_client.py` to test: +- Each endpoint returns 200 with valid FHIR JSON for known patients. +- Unknown patient returns 404 or empty Bundle. +- Endpoints handle query parameters correctly (patient filter, _count, _sort). + +**Files created or modified:** `backend/fhir/mock_api.py`, `tests/test_fhir_client.py` +**"Done" criteria:** Mock FHIR API starts and responds correctly to all 8 endpoint patterns. `pytest tests/test_fhir_client.py` passes. +**Verification method:** Start the mock API (`python -m backend.fhir.mock_api &`), then: `curl http://localhost:8080/fhir/Patient/pt-001` returns Mrs Thompson's Patient resource with NHS number. `curl "http://localhost:8080/fhir/Observation?patient=pt-001&category=laboratory"` returns observations including HbA1c. +**If this fails:** Check JSON loading paths. Ensure Bundle files have correct resource indexing. Verify FastAPI route parameter parsing. + +--- + +### Task 6: Demo Audio Files & Ground-Truth Transcripts + +**Prerequisites:** Task 1 +**Priority:** Core + +**Description:** +Create 3 demo audio files and their corresponding ground-truth transcripts: + +6a. **Ground-truth transcripts** — Create text files in `data/demo/`: +- `mrs_thompson_transcript.txt` — ~200 words. Simulated diabetes clinic consultation. Must mention: HbA1c, fatigue, thirst, gliclazide discussion, metformin continuation, blood test follow-up in 3 months. +- `mr_okafor_transcript.txt` — ~200 words. Chest pain follow-up. Must mention: angiogram results, normal coronaries, reassurance, blood pressure management, lifestyle advice. +- `ms_patel_transcript.txt` — ~200 words. Asthma review. Must mention: peak flow, salbutamol overuse, inhaler technique, preventer inhaler recommendation. + +6b. **Audio files** — Generate WAV audio files (16kHz, mono, 60–90 seconds) for each transcript. Options: +- **Preferred:** Use a TTS engine (e.g., `edge-tts` or `gtts`) to generate speech from the transcripts, then convert with: `ffmpeg -i input.mp3 -ar 16000 -ac 1 -acodec pcm_s16le output.wav` +- **Fallback:** Create minimal valid WAV files with silence + a note that real audio will be recorded separately for the video. + +Place files at: `data/demo/mrs_thompson.wav`, `data/demo/mr_okafor.wav`, `data/demo/ms_patel.wav` + +**Files created or modified:** `data/demo/mrs_thompson_transcript.txt`, `data/demo/mr_okafor_transcript.txt`, `data/demo/ms_patel_transcript.txt`, `data/demo/mrs_thompson.wav`, `data/demo/mr_okafor.wav`, `data/demo/ms_patel.wav` +**"Done" criteria:** All 3 transcript files exist with ≥150 words each. All 3 WAV files exist, are valid audio, and are 16kHz mono. `ffprobe data/demo/mrs_thompson.wav` shows `16000 Hz, mono`. +**Verification method:** `wc -w data/demo/*_transcript.txt` shows ≥150 per file. `python -c "import librosa; y, sr = librosa.load('data/demo/mrs_thompson.wav', sr=None); assert sr == 16000; print(f'Duration: {len(y)/sr:.1f}s')"` succeeds. +**If this fails:** Re-run ffmpeg conversion with correct flags. If TTS fails, generate silence WAV: `ffmpeg -f lavfi -i anullsrc=r=16000:cl=mono -t 60 -acodec pcm_s16le output.wav`. + +--- + +### Task 7: Phase 0 Checkpoint + +**Prerequisites:** Tasks 2, 5, 6 +**Priority:** Core + +**Description:** +Run the complete Phase 0 verification suite. Confirm all foundation components are in place before proceeding to model pipeline work. + +Verification checklist: +1. Project directory structure matches spec (`find clarke/ -type f | wc -l` ≥ 50 files). +2. `python -c "from backend.config import Settings; s = Settings(); print(s.MEDASR_MODEL_ID)"` prints `google/medasr`. +3. `pytest tests/test_schemas.py` passes. +4. Mock FHIR API starts and `curl http://localhost:8080/fhir/Patient/pt-001` returns valid JSON. +5. `data/clinic_list.json` has 5 patients. +6. 3 WAV files exist in `data/demo/` and are 16kHz mono. +7. 3 transcript files exist in `data/demo/`. + +**Files created or modified:** None +**"Done" criteria:** All 7 checks pass. +**Verification method:** Run each check command above sequentially. Report pass/fail for each. +**If this fails:** Fix the specific failing check, then re-run the entire checkpoint. + +--- + +## PHASE 1 — Core Model Pipelines (Hours 4–8) + +**Phase goal:** MedASR transcription pipeline + MedGemma 4B EHR agent + orchestrator connecting them. Backend-only — no UI yet. +**Estimated time:** 5 hours +**Day-end checkpoint contribution:** Completes Day 1 checkpoint (all 6 items from implementation.md §5). +**Context required:** `clarke_PRD_technical_spec.md` (§6a–§6b, §7, §9), `clarke_PRD_implementation.md` (§2–§3 Phase 1). + +--- + +### Task 8: MedASR Model Loading & Audio Preprocessing + +**Prerequisites:** Task 7 +**Priority:** Core + +**Description:** +8a. **`backend/audio.py`** — Implement audio format conversion utilities: +- `convert_to_wav_16k(input_path: str, output_path: str) -> str` — Converts any audio format (WebM, MP3, etc.) to 16kHz mono WAV using pydub + ffmpeg. Exactly as specified in `clarke_PRD_technical_spec.md` §9e. +- `validate_audio(file_path: str) -> dict` — Checks: sample rate = 16000, channels = 1, duration > 5s and < 1800s. Returns dict with duration_s, sample_rate, channels. Raises `AudioError` on failure. + +8b. **`backend/models/model_manager.py`** — Implement shared model lifecycle: +- `ModelManager` class that tracks loaded models, monitors GPU VRAM (`torch.cuda.memory_allocated()`), and provides `clear_cache()` (calls `torch.cuda.empty_cache()`). +- Method `check_gpu()` — returns GPU name, VRAM used, VRAM total. Returns mock data if no GPU. + +8c. **`backend/models/medasr.py`** — Implement MedASR loading: +- Load model using `transformers.pipeline("automatic-speech-recognition", model="google/medasr", device="cuda:0")` — or return mock if `MEDASR_MODEL_ID == "mock"`. +- `load_model()` — loads the pipeline. Called once at startup. +- `transcribe(audio_path: str) -> Transcript` — loads audio via librosa at 16kHz, runs pipeline with `chunk_length_s=20, stride_length_s=(4, 2), return_timestamps=True`. Returns `Transcript` schema. +- **Mock mode:** If model ID is "mock", return the ground-truth transcript from `data/demo/{patient}_transcript.txt` for known demo files, or a generic placeholder for unknown audio. + +**Files created or modified:** `backend/audio.py`, `backend/models/model_manager.py`, `backend/models/medasr.py`, `tests/test_medasr.py` +**"Done" criteria:** In mock mode: `python -c "from backend.models.medasr import MedASRModel; m = MedASRModel(); t = m.transcribe('data/demo/mrs_thompson.wav'); print(t.text[:50])"` prints the first 50 chars of the Thompson transcript. Audio conversion: converting a test file produces valid 16kHz mono WAV. +**Verification method:** Run the Python command above. `pytest tests/test_medasr.py` passes (test mock mode + audio validation). +**If this fails:** Check librosa/pydub installation. If GPU not available, ensure mock mode activates correctly based on config. + +--- + +### Task 9: MedASR Transcription Pipeline + +**Prerequisites:** Task 8 +**Priority:** Core + +**Description:** +Create the FastAPI transcription endpoint and wire it to MedASR. + +9a. **`backend/api.py`** — Add these endpoints (from `clarke_PRD_technical_spec.md` §5): +- `GET /api/v1/health` — Returns system health status including model loaded states and FHIR status. Schema per §5b. +- `POST /api/v1/consultations/{id}/audio` — Accepts multipart form-data with `audio_file` (WAV or WebM) and `is_final` boolean. Saves audio, converts to 16kHz WAV if needed, returns duration. + +9b. Wire the `/audio` endpoint to call `backend/audio.py` for conversion and store the audio file path in an in-memory consultation store (dict keyed by consultation ID). + +9c. Create `tests/test_api.py` — Test `/health` returns 200 with correct schema. Test `/consultations/{id}/audio` accepts a WAV file and returns duration. + +**Files created or modified:** `backend/api.py`, `tests/test_api.py` +**"Done" criteria:** FastAPI app starts. `curl localhost:8000/api/v1/health` returns 200 with JSON containing `models` key. Uploading a WAV file to `/consultations/test-001/audio` returns 200 with `duration_s`. +**Verification method:** Start FastAPI (`uvicorn backend.api:app --port 8000 &`), run curl commands, `pytest tests/test_api.py`. +**If this fails:** Check FastAPI route definitions. Ensure multipart form handling is correct. + +--- + +### Task 10: FHIR Client & Tool Functions + +**Prerequisites:** Task 5 +**Priority:** Core + +**Description:** +10a. **`backend/fhir/client.py`** — Implement async FHIR REST client using httpx: +- `FHIRClient` class initialised with `fhir_server_url` and `timeout_s` from config. +- Async methods for each FHIR query pattern from `clarke_PRD_technical_spec.md` §7c. +- Handle 404 (return empty), timeout (raise with context), 5xx (retry once, then raise). +- Return raw JSON dicts. + +10b. **`backend/fhir/tools.py`** — Implement the 7 FHIR tool functions specified in `clarke_PRD_technical_spec.md` §6b: +```python +async def search_patients(name: str) -> list[dict] +async def get_conditions(patient_id: str) -> list[dict] +async def get_medications(patient_id: str) -> list[dict] +async def get_observations(patient_id: str, category: str = "laboratory") -> list[dict] +async def get_allergies(patient_id: str) -> list[dict] +async def get_diagnostic_reports(patient_id: str) -> list[dict] +async def get_recent_encounters(patient_id: str) -> list[dict] +``` +Each wraps a `FHIRClient` call and extracts the relevant entries from the Bundle response. + +10c. **`backend/fhir/queries.py`** — Implement deterministic FHIR query fallback: +- `get_full_patient_context(patient_id: str) -> dict` — Calls ALL 7 tool functions for a patient and aggregates results into a raw context dict. This is the fallback if MedGemma 4B agentic tool-calling fails. + +**Files created or modified:** `backend/fhir/client.py`, `backend/fhir/tools.py`, `backend/fhir/queries.py` +**"Done" criteria:** With mock FHIR running: `python -c "import asyncio; from backend.fhir.queries import get_full_patient_context; r = asyncio.run(get_full_patient_context('pt-001')); print(list(r.keys()))"` prints keys including conditions, medications, observations, allergies. +**Verification method:** Run the Python command above. Each key should contain non-empty lists for pt-001. +**If this fails:** Check mock FHIR is running. Verify URL construction in client.py matches mock API routes. + +--- + +### Task 11: MedGemma 4B EHR Agent — Loading & Context Retrieval + +**Prerequisites:** Task 10 +**Priority:** Core + +**Description:** +Implement the EHR context retrieval agent in `backend/models/ehr_agent.py`. + +**Primary implementation (deterministic FHIR + MedGemma 4B summarisation):** + +Given the known instruction-following bugs with MedGemma 4B (see `clarke_PRD_technical_spec.md` §12, Pitfall 1), start with the **deterministic fallback** approach — it's more reliable and the narrative still works: + +1. Call `get_full_patient_context(patient_id)` from `backend/fhir/queries.py` to retrieve all raw FHIR data. +2. Load MedGemma 4B in 4-bit quantised mode (config from `clarke_PRD_technical_spec.md` §6b): + ```python + bnb_config = BitsAndBytesConfig( + load_in_4bit=True, bnb_4bit_quant_type="nf4", + bnb_4bit_compute_dtype=torch.bfloat16, bnb_4bit_use_double_quant=True + ) + ``` +3. Pass raw FHIR JSON to MedGemma 4B with the context synthesis prompt (from `backend/prompts/context_synthesis.j2`) asking it to produce a structured `PatientContext` JSON. +4. Parse output using `parse_agent_output()` from `clarke_PRD_technical_spec.md` §6b — strip system prompt leaks, extract JSON, validate against `PatientContext` schema. +5. If parsing fails after 2 retries, construct `PatientContext` directly from raw FHIR data without MedGemma summarisation (hardcoded extraction logic). + +**Mock mode:** If model ID is "mock", return a pre-built PatientContext JSON for known patient IDs. + +Also implement `parse_agent_output(raw_output: str) -> dict` exactly as specified in §6b — with regex to strip system prompt leaks, markdown fences, and extract first JSON object. + +**Files created or modified:** `backend/models/ehr_agent.py`, `tests/test_ehr_agent.py` +**"Done" criteria:** In mock mode: calling `get_patient_context("pt-001")` returns a valid `PatientContext` with Mrs Thompson's data (problem_list includes diabetes, medications include metformin, allergies include penicillin). `pytest tests/test_ehr_agent.py` passes. +**Verification method:** `python -c "from backend.models.ehr_agent import EHRAgent; a = EHRAgent(); ctx = a.get_patient_context('pt-001'); print(ctx.allergies)"` outputs penicillin allergy data. +**If this fails:** Check FHIR data loading. Verify parse_agent_output handles edge cases. If MedGemma 4B outputs are garbled, the hardcoded extraction fallback should still produce valid context. + +**⚠️ FALLBACK DECISION POINT:** If MedGemma 4B produces entirely unusable output after loading (not just in mock mode, but on real inference), stay with deterministic FHIR extraction. The pipeline narrative is preserved — MedGemma 4B is still "understanding" the EHR data through the summarisation step. See `clarke_PRD_implementation.md` §7, Fallback Path #2. + +--- + +### Task 12: Orchestrator — Pipeline Coordinator + +**Prerequisites:** Tasks 9, 11 +**Priority:** Core + +**Description:** +Implement `backend/orchestrator.py` — the core pipeline coordinator that connects all three model stages. + +The orchestrator manages the consultation lifecycle: +1. **start_consultation(patient_id)** — Creates a Consultation object, triggers EHR agent in background to pre-fetch patient context, returns consultation ID. Sets status to `recording`. +2. **end_consultation(consultation_id)** — Stops recording, runs the full pipeline: + - Stage 1: Finalise transcript via MedASR (from uploaded audio) + - Stage 2: Synthesise patient context via EHR Agent (may already be cached from start) + - Stage 3: Combine transcript + context into document-generation prompt (Phase 2 will add MedGemma 27B generation) + - Updates `PipelineProgress` at each stage +3. **get_consultation(consultation_id)** — Returns current Consultation state. +4. **get_progress(consultation_id)** — Returns current PipelineProgress. + +Wire the remaining API endpoints from `clarke_PRD_technical_spec.md` §5: +- `GET /api/v1/patients` — returns clinic list from `data/clinic_list.json` +- `GET /api/v1/patients/{patient_id}` — returns single patient +- `POST /api/v1/patients/{patient_id}/context` — triggers EHR agent +- `POST /api/v1/consultations/start` — calls orchestrator.start_consultation +- `POST /api/v1/consultations/{id}/end` — calls orchestrator.end_consultation +- `GET /api/v1/consultations/{id}/transcript` — returns transcript +- `GET /api/v1/consultations/{id}/document` — returns document (empty for now) +- `GET /api/v1/consultations/{id}/progress` — returns pipeline progress + +In-memory consultation store: `dict[str, Consultation]` keyed by consultation_id. + +**Files created or modified:** `backend/orchestrator.py`, `backend/api.py` (update with all endpoints) +**"Done" criteria:** Start mock FHIR + FastAPI. Calling `POST /consultations/start` with `{"patient_id": "pt-001"}` returns 201 with consultation_id. Calling `POST /consultations/{id}/audio` with a WAV file, then `POST /consultations/{id}/end` triggers the pipeline and returns 202. `GET /consultations/{id}/progress` shows stage transitions. +**Verification method:** `pytest tests/test_api.py` passes (update tests for new endpoints). Manual curl sequence through the flow. +**If this fails:** Debug orchestrator state management. Ensure consultation store is correctly updated at each stage. + +--- + +### Task 13: Prompt Templates (EHR Agent + Document Generation) + +**Prerequisites:** Task 12 +**Priority:** Core + +**Description:** +Create the Jinja2 prompt templates that combine transcript and context for document generation. + +13a. **`backend/prompts/ehr_agent_system.txt`** — The EHR agent system prompt, exactly as specified in `clarke_PRD_technical_spec.md` §6b. This instructs MedGemma 4B on how to synthesise FHIR data into PatientContext JSON. + +13b. **`backend/prompts/context_synthesis.j2`** — Jinja2 template that wraps raw FHIR data and asks MedGemma 4B to produce structured context JSON. Variables: `{{ raw_fhir_data }}`, `{{ patient_id }}`. + +13c. **`backend/prompts/document_generation.j2`** — The document generation prompt template exactly as specified in `clarke_PRD_technical_spec.md` §6c. This is the prompt sent to MedGemma 27B. Variables: `{{ letter_date }}`, `{{ clinician_name }}`, `{{ clinician_title }}`, `{{ transcript }}`, `{{ context_json }}`. + +Verify that the orchestrator can render the document generation prompt by combining a mock transcript and mock context into the template. + +**Files created or modified:** `backend/prompts/ehr_agent_system.txt`, `backend/prompts/context_synthesis.j2`, `backend/prompts/document_generation.j2` +**"Done" criteria:** `python -c "from jinja2 import Environment, FileSystemLoader; env = Environment(loader=FileSystemLoader('backend/prompts')); t = env.get_template('document_generation.j2'); print(t.render(letter_date='13 Feb 2026', clinician_name='Dr. Chen', clinician_title='Consultant', transcript='test', context_json='{}')[:100])"` prints the rendered prompt start. +**Verification method:** Run the command above. The output should contain "NHS clinical documentation assistant" and the rendered transcript. +**If this fails:** Check template syntax. Ensure Jinja2 variables match the expected names. + +--- + +### Task 14: Phase 1 Checkpoint — Integration Test Point 1 + +**Prerequisites:** Task 13 +**Priority:** Core + +**Description:** +This is **Integration Test Point 1** from `clarke_PRD_implementation.md` §8. Run the Mrs Thompson demo scenario end-to-end through the backend (no UI yet): + +1. Feed `data/demo/mrs_thompson.wav` to MedASR → capture transcript. +2. Feed patient ID `pt-001` to EHR Agent → capture context JSON. +3. Combine into document-generation prompt → print to console. +4. **Verify the combined prompt contains:** + - (a) Transcript text mentioning HbA1c, fatigue, gliclazide + - (b) FHIR-sourced values: HbA1c 55 mmol/mol, eGFR 52, Penicillin allergy + +This can run in mock mode — the point is verifying the *fusion* of transcript + context into a well-formed prompt. + +Create `tests/test_e2e.py` with a test for this scenario. + +Also run the full test suite: `pytest tests/` to confirm no regressions. + +**Files created or modified:** `tests/test_e2e.py` (add `test_mrs_thompson_fusion`) +**"Done" criteria:** The rendered document-generation prompt contains both: (1) transcript text with clinical content, and (2) FHIR-sourced patient context with lab values, medications, and allergies. `pytest tests/ -v` passes with 0 failures. +**Verification method:** `pytest tests/test_e2e.py::test_mrs_thompson_fusion -v` passes. Manually inspect printed prompt output. +**If this fails:** Debug which stage produced empty output. If transcript is empty, check MedASR mock. If context is empty, check FHIR mock data loading. If prompt is malformed, check Jinja2 template rendering. + +**📌 DAY 1 DECISION POINT:** If this checkpoint fails, do NOT proceed to Phase 2. Fix the fusion point first — everything downstream depends on it. + +--- + +## PHASE 2 — Document Generation & End-to-End Pipeline (Hours 9–12) + +**Phase goal:** MedGemma 27B loaded and generating clinic letters. Complete backend pipeline: audio → transcript → context → letter. +**Estimated time:** 4 hours +**Day-end checkpoint contribution:** Achieves Minimum Viable Demo backend (implementation.md §6). +**Context required:** `clarke_PRD_technical_spec.md` (§6c, §10), `clarke_PRD_implementation.md` (§3 Phase 2). + +--- + +### Task 15: MedGemma 27B Loading & Baseline Generation + +**Prerequisites:** Task 14 +**Priority:** Core + +**Description:** +Implement `backend/models/doc_generator.py` — the document generation module using MedGemma 27B. + +**Loading (from `clarke_PRD_technical_spec.md` §6c):** +```python +bnb_config = BitsAndBytesConfig( + load_in_4bit=True, bnb_4bit_quant_type="nf4", + bnb_4bit_compute_dtype=torch.bfloat16, bnb_4bit_use_double_quant=True +) +model = AutoModelForCausalLM.from_pretrained( + "google/medgemma-27b-text-it", quantization_config=bnb_config, + device_map="auto", torch_dtype=torch.bfloat16 +) +``` + +**Generation parameters:** `max_new_tokens=2048, temperature=0.3, top_p=0.9, top_k=40, do_sample=True, repetition_penalty=1.1` + +**Interface:** +- `load_model()` — loads model + tokenizer. If model ID is "mock", set flag. +- `generate(prompt: str) -> str` — runs inference, returns raw text. +- `generate_document(transcript: str, context: PatientContext) -> ClinicalDocument` — renders the Jinja2 prompt, calls generate, parses output into ClinicalDocument sections. +- **Output parsing:** Split generated text into `DocumentSection` objects by detecting section headings. +- **Mock mode:** Return a pre-written reference letter. + +**Timeout:** 90s. **Retry:** 1 retry with reduced `max_new_tokens=1024`. + +Generate 3 baseline letters using the combined prompts from Task 13 (one per demo patient). Save to `data/demo/baseline_letters/`. + +**Files created or modified:** `backend/models/doc_generator.py`, `tests/test_doc_generator.py`, `data/demo/baseline_letters/` (3 files) +**"Done" criteria:** In mock mode: `generate_document()` returns a valid `ClinicalDocument` with ≥4 sections. On GPU: MedGemma 27B loads without OOM and generates coherent medical text. `pytest tests/test_doc_generator.py` passes. +**Verification method:** Run tests. On GPU, generate one letter and manually verify it's coherent medical text. +**If this fails:** **⚠️ FALLBACK TRIGGER:** If MedGemma 27B fails to load after 2 attempts (OOM on A100 40GB at 4-bit): +1. Try GGUF Q8_0 via Ollama — switch inference to Ollama REST API. See `clarke_PRD_implementation.md` §7, Fallback Path A. +2. If Ollama also fails — use MedGemma 4B for document generation with extensive prompt engineering. This changes Tasks 16–17 to use 4B instead of 27B. Quality drops but pipeline remains functional. + +--- + +### Task 16: Document Generation Prompt Engineering + +**Prerequisites:** Task 15 +**Priority:** Core + +**Description:** +Iterate on the document-generation prompt to maximise NHS letter quality: + +1. Start with the base prompt from `backend/prompts/document_generation.j2`. +2. Generate 3 letters (one per demo patient) using the base prompt. +3. Review each letter for: + - NHS letter structure (date, addressee, Re: line, salutation, sections, sign-off) + - Correct use of FHIR-sourced lab values (exact numbers, not fabricated) + - British medical English (third person, past tense, formal) + - Reasonable length (300–500 words) +4. Iterate on the prompt: add exemplar fragments, strengthen format instructions, add negative examples (what NOT to do). +5. Regenerate 3 letters with the improved prompt. +6. Save the best prompt version as the final `document_generation.j2`. + +Key improvements to try: +- Add a brief exemplar letter snippet showing correct NHS format +- Add explicit instructions: "Use EXACT values from patient context — do not round or fabricate" +- Add: "Include both positive AND negative findings from the consultation" +- Add: "If a discussed value differs from the record, mark with [DISCREPANCY]" + +**Files created or modified:** `backend/prompts/document_generation.j2` (updated) +**"Done" criteria:** 3 regenerated letters visually conform to NHS clinic letter format. Each letter contains FHIR-sourced values (spot-check: Mrs Thompson letter includes HbA1c 55 and eGFR 52). Letters are 300–500 words. +**Verification method:** Manual review of 3 generated letters. Check for the presence of specific FHIR values. +**If this fails:** Continue iterating on the prompt. If quality plateaus, document the best prompt and move on — prompt engineering has diminishing returns after 3–4 iterations. + +--- + +### Task 17: End-to-End Backend Pipeline Wiring + +**Prerequisites:** Task 16 +**Priority:** Core + +**Description:** +Connect the `/consultations/{id}/end` endpoint to the full pipeline including MedGemma 27B document generation: + +1. Update `backend/orchestrator.py` — `end_consultation()` now: + - Stage 1: Transcribe audio via MedASR → Transcript + - Stage 2: Retrieve patient context via EHR Agent → PatientContext (may already be cached) + - Stage 3: Generate document via MedGemma 27B → ClinicalDocument + - Update PipelineProgress at each stage + - Store final ClinicalDocument in Consultation object + - Set status to `review` +2. Update `backend/api.py`: + - `GET /consultations/{id}/document` returns the generated ClinicalDocument + - `POST /consultations/{id}/document/sign-off` updates status to signed_off + - `POST /consultations/{id}/document/regenerate-section` regenerates one section +3. Add latency logging: total pipeline time, time per stage. + +Wire `torch.cuda.empty_cache()` between each model's inference step (see `clarke_PRD_technical_spec.md` §12, Pitfall 3). + +**Files created or modified:** `backend/orchestrator.py` (major update), `backend/api.py` (add document endpoints) +**"Done" criteria:** Complete pipeline works: `POST /consultations/start` → `POST /consultations/{id}/audio` (upload WAV) → `POST /consultations/{id}/end` → `GET /consultations/{id}/document` returns a ClinicalDocument with ≥4 sections. Total latency <60s on GPU (or <5s in mock mode). +**Verification method:** Run the full API flow with curl commands. Check that the returned document JSON has sections with headings and content. Check latency logged in stdout. +**If this fails:** Debug stage by stage. Check orchestrator state transitions. Ensure `torch.cuda.empty_cache()` is called between models. + +--- + +### Task 18: Pipeline Hardening — Error Handling & Timeouts + +**Prerequisites:** Task 17 +**Priority:** Core + +**Description:** +Add error handling for all failure modes defined in `clarke_PRD_technical_spec.md` §10: + +1. **Pipeline timeout:** `asyncio.wait_for()` wrapper with `PIPELINE_TIMEOUT_S=120`. If exceeded, return `ErrorResponse` with `error="timeout"`. +2. **OOM recovery:** Catch `torch.cuda.OutOfMemoryError`, call `empty_cache()`, reduce `max_new_tokens` by 50%, retry once. +3. **Empty transcript handling:** If MedASR returns empty text, return `ErrorResponse` with `error="audio_error"` and message "Audio could not be transcribed." +4. **FHIR failure degradation:** If EHR Agent fails or FHIR is unreachable, continue with transcript-only document generation. Add warning to `PatientContext.retrieval_warnings`. +5. **Empty/corrupted audio:** Validate audio before MedASR. Return `ErrorResponse` for invalid files. + +Test 3 error scenarios: +- Empty audio file → error response +- FHIR server unavailable → document generated from transcript only +- Oversized context (>4096 tokens) → context truncated, generation proceeds + +**Files created or modified:** `backend/orchestrator.py` (add error handling), `tests/test_e2e.py` (add error scenario tests) +**"Done" criteria:** All 3 error scenarios handled gracefully — no crashes, informative error messages returned. `pytest tests/test_e2e.py` passes including error scenario tests. +**Verification method:** `pytest tests/test_e2e.py -v` passes. Specifically: `test_pipeline_timeout`, `test_fhir_failure_degradation`, `test_empty_audio` all pass. +**If this fails:** Check exception handling order. Ensure `try/except` blocks don't swallow errors silently. + +--- + +### Task 19: Phase 2 Checkpoint + +**Prerequisites:** Task 18 +**Priority:** Core + +**Description:** +Run the full Phase 2 verification: + +1. Full pipeline test: Upload Mrs Thompson WAV → transcript → context → letter. Letter contains HbA1c 55 and eGFR 52. +2. All 3 demo patients produce clinically coherent letters via the pipeline. +3. Pipeline latency <60s on GPU (or <5s in mock mode). +4. Error scenarios pass (empty audio, FHIR down, timeout). +5. `pytest tests/ -v` — all tests pass, 0 failures. + +**Files created or modified:** None +**"Done" criteria:** All 5 checks pass. +**Verification method:** Run each check. Full test suite: `pytest tests/ -v`. +**If this fails:** Fix failing tests/scenarios before proceeding to UI work. + +--- + +## PHASE 3 — UI Build & Integration (Hours 13–16) + +**Phase goal:** Functional Gradio UI connected to the backend. Complete end-to-end demo working in browser. +**Estimated time:** 4 hours +**Day-end checkpoint contribution:** Achieves Integration Test Point 2 (implementation.md §8). +**Context required:** `clarke_PRD_technical_spec.md` (§9), `clarke_PRD_design_guidelines.md` (§1–§5), `clarke_PRD_userflow.md` (all sections). + +--- + +### Task 20: Gradio Theme & CSS Setup + +**Prerequisites:** Task 19 +**Priority:** Core + +**Description:** +Create the visual foundation for Clarke's UI. + +20a. **`frontend/theme.py`** — Create a Gradio theme using Clarke's colour tokens from `clarke_PRD_design_guidelines.md` §1: +- Primary colour: `#1E3A5F` (clarke-blue) +- Secondary colour: `#D4A035` (clarke-gold) +- Background: `#FAFBFD` (clarke-bg-primary) +- Text: `#1A1A2E` (clarke-text-primary) +- Use `gr.themes.Base()` as starting point, override colours. + +20b. **`frontend/assets/style.css`** — Custom CSS with: +- All CSS custom properties from design_guidelines §1 (--clarke-blue, --clarke-gold, etc.) +- Hero gradient background (§1 gradient spec) +- Typography: Inter font import, type scale (§2) +- Card styling: border-radius 12px, shadow, hover effects (§3, §4) +- Paper container for document display: max-width 720px, centered, inset shadow (§4.6 from userflow) +- Recording pulse animation keyframes (§4.5 from design_guidelines) +- Skeleton loader animation (shimmer effect) + +20c. **`frontend/assets/clarke_logo.svg`** — Create a simple SVG logo (shield/C shape in clarke-blue and clarke-gold). + +**Files created or modified:** `frontend/theme.py`, `frontend/assets/style.css`, `frontend/assets/clarke_logo.svg` +**"Done" criteria:** Theme and CSS files exist with all specified tokens. A minimal Gradio app using the theme renders with Clarke colours. +**Verification method:** `python -c "import gradio as gr; from frontend.theme import clarke_theme; demo = gr.Blocks(theme=clarke_theme, css='frontend/assets/style.css'); demo.launch(prevent_thread_lock=True)"` launches without error and shows Clarke styling. +**If this fails:** Check CSS syntax. Ensure theme object is a valid `gr.Theme`. + +--- + +### Task 21: Gradio UI — Core Layout & Dashboard (S1) + +**Prerequisites:** Task 20 +**Priority:** Core + +**Description:** +Build the main UI structure and the Dashboard screen (S1) in `frontend/ui.py`. + +The `build_ui()` function returns a `gr.Blocks` layout with: + +1. **Top bar:** Clarke logo, "Clarke" text, status indicator. +2. **Main content area** — uses `gr.Column` with visibility toggling to switch between screens (S1–S6). +3. **S1 — Dashboard:** + - Clinic header: "Dr. Sarah Chen — Diabetes & Endocrinology — 13 February 2026" + - Hero gradient background (via CSS class) + - Patient card list: 5 cards, each showing name, age/sex, appointment time, one-line summary + - Cards are `gr.Button` styled as cards (or `gr.HTML` with click events) + - Clicking a card triggers patient selection → transition to S2 + +4. **`frontend/state.py`** — Implement state management: + - `gr.State` holds current screen name, consultation object, selected patient + - Screen visibility functions: `show_screen(screen_name)` returns visibility updates for all screen containers + +5. **`frontend/components.py`** — Reusable component builders: + - `build_patient_card(patient: dict) -> gr.HTML` — renders a styled patient card + - `build_status_badge(status: str) -> gr.HTML` — renders status badge with appropriate colour + +Also create `app.py` — the entry point that mounts Gradio + FastAPI together (per `clarke_PRD_technical_spec.md` §9a): +```python +demo = build_ui() +demo = gr.mount_gradio_app(fast_api, demo, path="/") +``` + +**Files created or modified:** `frontend/ui.py`, `frontend/state.py`, `frontend/components.py`, `app.py` +**"Done" criteria:** `python app.py` launches at localhost:7860. Dashboard shows 5 patient cards with correct names and details. Clicking a card triggers a visible event (even if transition is not yet complete). +**Verification method:** Launch app, open browser to localhost:7860. Visual check: 5 patient cards are visible. `data/clinic_list.json` data is rendered correctly. +**If this fails:** Check Gradio Blocks layout. Ensure `clinic_list.json` is loaded correctly. Verify CSS is applied. + +--- + +### Task 22: Gradio UI — Patient Context & Recording (S2, S3) + +**Prerequisites:** Task 21 +**Priority:** Core + +**Description:** +Build screens S2 (Patient Context) and S3 (Live Consultation). + +**S2 — Patient Context:** +- Left panel: Patient context display with sections: Demographics, Problem List, Medications, Allergies (highlighted with ⚠), Recent Labs (with trend arrows ↑↓), Recent Imaging, Clinical Flags +- Centre panel: Empty document area with CTA text "Start Consultation" and "Back to Dashboard" button +- On patient selection: call EHR Agent (or mock) to get PatientContext, populate left panel +- Skeleton loaders while context loads (CSS shimmer animation) + +**S3 — Live Consultation:** +- Recording indicator (gold pulsing circle, using CSS animation from Task 20) +- Timer showing elapsed time (MM:SS format, updated via `gr.Timer`) +- Audio capture: use `gr.Audio(sources=["microphone"], streaming=False)` as the pragmatic Gradio approach (capture complete audio, not streaming chunks). If Gradio streaming works, use it; otherwise, capture entire audio on "End Consultation". +- "End Consultation" button (primary style) +- Expandable transcript panel (initially minimised, shows transcript after processing) +- Patient context remains visible on the left (collapsed summary) + +Wire the screen transitions: +- S1 → S2: Patient card click → load context → show S2 +- S2 → S3: "Start Consultation" click → show S3, start audio capture +- S2 → S1: "Back to Dashboard" → show S1 + +**Files created or modified:** `frontend/ui.py` (add S2, S3) +**"Done" criteria:** Select a patient on S1 → S2 loads with patient context (from mock/API). Click "Start Consultation" → S3 shows with recording indicator and audio capture widget. "Back to Dashboard" returns to S1. +**Verification method:** Visual check through the flow: S1 → click patient → S2 shows context → click Start → S3 shows recording UI. +**If this fails:** Debug Gradio event handlers. Ensure `gr.State` updates correctly. If audio capture fails, use `gr.Audio(sources=["upload"])` as fallback. + +--- + +### Task 23: Gradio UI — Processing, Review & Sign-off (S4, S5, S6) + +**Prerequisites:** Task 22 +**Priority:** Core + +**Description:** +Build screens S4 (Processing), S5 (Document Review), and S6 (Signed Off). + +**S4 — Processing:** +- Three-stage progress indicator showing: "Finalising transcript…" → "Synthesising patient context…" → "Generating clinical letter…" +- Use `gr.Timer(every=1)` to poll pipeline progress and update the stage display +- Simple progress bar (3 segments) with the active segment highlighted in clarke-blue +- Elapsed timer +- "Cancel" button (secondary, destructive) + +**S5 — Document Review:** +- Centre panel: Generated NHS clinic letter rendered in a paper container (max-width 720px, white, subtle shadow) +- Letter displayed section by section using `gr.Textbox(interactive=True)` for each section (allowing inline editing) +- FHIR-sourced values: wrap in monospace spans via `gr.HTML` or `gr.Markdown` +- Status badge: "Ready for Review" (amber) +- "Sign Off & Export" button (primary) +- "Regenerate Entire Letter" button (secondary) +- Left panel: collapsed patient context summary + +**S6 — Signed Off:** +- Read-only letter display +- Status badge: "Signed Off" (green ✓) +- Export buttons: "Copy to Clipboard", "Download as Text" +- "Next Patient" button → returns to S1 with next patient highlighted + +Wire transitions: +- S3 → S4: "End Consultation" → upload audio → trigger pipeline → show S4 +- S4 → S5: Pipeline complete → show S5 with generated document +- S5 → S6: "Sign Off" → mark signed → show S6 +- S6 → S1: "Next Patient" → reset state → show S1 + +**Files created or modified:** `frontend/ui.py` (add S4, S5, S6) +**"Done" criteria:** All 6 screens exist and are navigable. The complete flow S1→S2→S3→S4→S5→S6→S1 works with mock data. +**Verification method:** Visual walk-through of entire flow using mock mode. Each screen renders correct content. +**If this fails:** Focus on getting the flow working with minimal styling. Polish comes later. If `gr.Timer` polling is problematic, use a simpler approach (single blocking call with loading indicator). + +--- + +### Task 24: UI ↔ Backend Data Binding + +**Prerequisites:** Task 23 +**Priority:** Core + +**Description:** +Connect all UI interactions to the real backend: + +1. **Patient selection (S1 → S2):** Card click calls `POST /patients/{id}/context` → context panel populates with real FHIR data. +2. **Start Consultation (S2 → S3):** Calls `POST /consultations/start` with patient_id → stores consultation_id in `gr.State`. +3. **Audio capture (S3):** Gradio audio component captures audio. On "End Consultation", uploads audio to `POST /consultations/{id}/audio` then calls `POST /consultations/{id}/end`. +4. **Processing (S4):** Polls `GET /consultations/{id}/progress` every second. Updates stage labels. When stage = "complete", fetches document from `GET /consultations/{id}/document` and transitions to S5. +5. **Document display (S5):** Renders `ClinicalDocument` sections as editable textboxes. Each section shows heading + content. +6. **Sign Off (S5 → S6):** Calls `POST /consultations/{id}/document/sign-off` with any edited sections. +7. **Next Patient (S6 → S1):** Resets `gr.State`, returns to dashboard. + +Ensure the backend calls work correctly with both mock mode and real model mode. + +**Files created or modified:** `frontend/ui.py` (major update — event binding), `frontend/state.py` (update) +**"Done" criteria:** In mock mode: the complete flow works end-to-end in the browser. Select patient → context loads → start consultation → provide audio → end → processing animation → letter appears → edit → sign off → export → next patient. +**Verification method:** Full manual walkthrough in browser at localhost:7860. Each step produces the expected result. +**If this fails:** Debug one step at a time. Check browser console for JavaScript errors. Check server logs for API errors. The most likely failure points are: audio upload format, progress polling timing, and state management. + +--- + +### Task 25: End-to-End Demo Scenario Testing (3 patients) + +**Prerequisites:** Task 24 +**Priority:** Core + +**Description:** +Test all 3 demo scenarios completely: + +1. **Mrs Thompson (pt-001):** Upload `mrs_thompson.wav` → transcript mentions diabetes topics → context shows HbA1c 55, eGFR 52, Penicillin allergy → letter includes these values → edit one line → sign off. +2. **Mr Okafor (pt-002):** Upload `mr_okafor.wav` → transcript mentions chest pain → context shows normal coronaries → letter discusses angiogram results → sign off. +3. **Ms Patel (pt-003):** Upload `ms_patel.wav` → transcript mentions asthma → context shows peak flow 320 → letter recommends preventer inhaler → sign off. + +For each scenario: +- Verify correct transcription (transcript text is clinically relevant) +- Verify correct context (FHIR data matches patient) +- Verify letter quality (contains both transcript content AND FHIR values) +- Verify editing works (change one paragraph) +- Verify sign-off works + +Fix any bugs discovered during testing. + +**Files created or modified:** Bug fixes in various files +**"Done" criteria:** All 3 scenarios complete without crashes. Generated letters are clinically appropriate for each patient. +**Verification method:** Manual run-through of each scenario in browser. Screenshot or note the key assertion for each (e.g., "Thompson letter contains HbA1c 55"). +**If this fails:** Fix bugs for each specific scenario. Most common issues: wrong patient context loaded, transcript doesn't match audio file, document parsing fails for certain prompt outputs. + +--- + +### Task 26: Phase 3 Checkpoint — Integration Test Point 2 + +**Prerequisites:** Task 25 +**Priority:** Core + +**Description:** +This is **Integration Test Point 2** from `clarke_PRD_implementation.md` §8. + +**Full demo dry-run:** Perform the Mrs Thompson scenario exactly as it would appear in the competition video: + +1. Open Clarke in browser +2. Select Mrs Thompson from patient list +3. Verify context panel populates with correct data +4. Click "Start Consultation", upload pre-recorded audio +5. Click "End Consultation" +6. Verify draft letter appears within 60 seconds (or <5s mock mode) +7. Verify letter contains FHIR-sourced lab values +8. Edit one line, click "Sign Off" +9. Verify status transitions to green + +Also: Run `pytest tests/ -v` — all tests still pass (no regressions). + +**📌 DAY 2 DECISION POINT (from masterplan §12):** At this point, assess the must-have list: +1. ✅ Working MedASR transcription +2. ✅ Working EHR Agent context retrieval +3. ✅ Working document generation +4. ✅ End-to-end orchestration +5. ✅ Functional Gradio UI +6. ✅ 3 demo scenarios tested + +**If ≥2 must-haves are incomplete:** Cancel ALL nice-to-haves (Tasks 27–32). Day 3 is entirely: fix remaining must-haves → deploy. + +**Files created or modified:** None +**"Done" criteria:** Demo dry-run completes smoothly. `pytest tests/` passes. All must-haves are checked. +**Verification method:** Manual demo run + test suite. +**If this fails:** This is the last chance to fix critical issues. Prioritise by: pipeline > UI > polish. + +--- + +## PHASE 4 — Fine-tuning, Evaluation & Polish (Hours 17–21) + +**Phase goal:** LoRA fine-tuning (if feasible), quantitative evaluations, UI polish, demo preparation. +**Estimated time:** 5 hours +**Day-end checkpoint contribution:** Nice-to-haves from masterplan §12. +**Context required:** `clarke_PRD_technical_spec.md` (§6c fine-tuning params, §11), `clarke_PRD_design_guidelines.md` (full), `clarke_PRD_implementation.md` (§3 Phase 4). + +**All tasks in this phase are Priority: Polish** — they improve the submission but are not required for a functional demo. If behind schedule, skip directly to Phase 5 (Task 34). + +--- + +### Task 27: Synthetic Training Data Generation + +**Prerequisites:** Task 26 +**Priority:** Polish + +**Description:** +Generate 250 training triplets (transcript, FHIR context JSON, reference NHS letter) for fine-tuning MedGemma 27B. + +Implement `finetuning/generate_training_data.py`: +1. Use Claude API (or another LLM API) to generate diverse clinical scenarios. +2. Each triplet contains: + - `transcript`: A simulated clinician-patient consultation transcript (~200 words) + - `context`: A PatientContext JSON with realistic FHIR-sourced data + - `reference_letter`: A gold-standard NHS clinic letter +3. Clinical scenarios distributed across specialties (per `clarke_PRD_technical_spec.md` §8a). +4. Output format: JSONL with one triplet per line. +5. Split: 200 train → `data/training/train.jsonl`, 50 test → `data/training/test.jsonl`. +6. Manually review 20 samples for quality: clinically plausible, correctly formatted, no fabricated data conflicts. + +**Files created or modified:** `finetuning/generate_training_data.py`, `data/training/train.jsonl`, `data/training/test.jsonl` +**"Done" criteria:** `train.jsonl` has 200 lines, `test.jsonl` has 50 lines. Each line is valid JSON with keys: transcript, context, reference_letter. 20 reviewed samples pass quality check. +**Verification method:** `wc -l data/training/train.jsonl` = 200. `python -c "import json; [json.loads(l) for l in open('data/training/train.jsonl')]"` succeeds. +**If this fails:** If API generation fails, reduce to 100 training samples. If quality is poor (>20% fail review), revise generation prompt and regenerate. + +--- + +### Task 28: LoRA Fine-tuning MedGemma 27B + +**Prerequisites:** Task 27 +**Priority:** Polish + +**Description:** +Implement and run QLoRA fine-tuning in `finetuning/train_lora.py`. + +**Configuration (from `clarke_PRD_technical_spec.md` §3a and `clarke_PRD_implementation.md` §3 Hour 18):** +- Base model: `google/medgemma-27b-text-it` in 4-bit NF4 +- LoRA config: `rank=16, alpha=32, dropout=0.05`, target modules: attention + MLP layers +- Training: `epochs=3, batch_size=2, gradient_accumulation_steps=8, learning_rate=2e-4` +- `max_seq_length=4096` +- Trainer: `trl.SFTTrainer` +- Tracking: wandb (optional) + +Steps: +1. **Unload MedASR and MedGemma 4B** from GPU before training to free VRAM. +2. Load base model in 4-bit, apply LoRA configuration. +3. Load training data from `data/training/train.jsonl`. +4. Format each sample as a prompt-completion pair using the document_generation.j2 template. +5. Train. Monitor loss. +6. Save LoRA adapter to `finetuning/adapter/`. +7. **Reload MedASR and MedGemma 4B** after training. + +**Files created or modified:** `finetuning/train_lora.py`, `finetuning/adapter/` (saved adapter files) +**"Done" criteria:** Training completes without OOM. Final training loss < initial loss. Adapter saved, <500MB. +**Verification method:** Check training logs for loss curve. `ls -lh finetuning/adapter/` shows adapter files. +**If this fails:** **⚠️ FALLBACK (from implementation.md §3):** If training fails after 2 attempts: +1. Reduce LoRA rank from 16 to 8. +2. Reduce max_seq_length from 4096 to 2048. +3. Reduce training set from 200 to 100. +4. If still fails after these reductions: **abandon fine-tuning entirely**. Use base MedGemma 27B with the optimised prompt from Task 16. Document fine-tuning as "production roadmap" in the writeup. Skip Task 35 (LoRA publication). Redirect remaining time to Tasks 29–32 (evaluation and polish). + +--- + +### Task 29: MedASR Evaluation (WER) + +**Prerequisites:** Task 26 +**Priority:** Polish + +**Description:** +Implement `evaluation/eval_medasr.py`: +1. Compute Word Error Rate (WER) for MedASR on the 3 demo audio clips using `jiwer`. +2. Ground-truth transcripts: `data/demo/*_transcript.txt`. +3. Optionally compare to Whisper large-v3 on the same clips. +4. Output: WER per clip + average WER. Save results to `evaluation_report.md`. + +**Files created or modified:** `evaluation/eval_medasr.py`, `evaluation_report.md` (create/append) +**"Done" criteria:** WER computed for all 3 clips. Results appended to evaluation_report.md. +**Verification method:** `cat evaluation_report.md | grep "MedASR WER"` shows results. +**If this fails:** If jiwer fails, compute WER manually. If MedASR WER is >15% on demo clips, note this and consider switching to dictation-style audio (see `clarke_PRD_implementation.md` §7, Fallback Path #4). + +--- + +### Task 30: EHR Agent Evaluation (Fact Recall) + +**Prerequisites:** Task 26 +**Priority:** Polish + +**Description:** +Implement `evaluation/eval_ehr_agent.py`: +1. For each of 5 demo patients, compare EHR Agent output (`PatientContext`) against gold-standard context. +2. Create gold standards in `evaluation/gold_standards/` — manually verified correct context for each demo patient. +3. Metrics: Fact recall (what % of gold facts appear in output), Precision (what % of output facts are correct), Hallucination rate (what % of output facts are not in gold standard or FHIR data). +4. Target from masterplan §11: recall >85%, precision >90%, hallucination <10%. +5. Append results to `evaluation_report.md`. + +**Files created or modified:** `evaluation/eval_ehr_agent.py`, `evaluation/gold_standards/pt-001.json` through `pt-005.json`, `evaluation_report.md` (append) +**"Done" criteria:** Metrics computed for 5 patients. Results in evaluation_report.md. +**Verification method:** `cat evaluation_report.md | grep "Fact Recall"` shows results. +**If this fails:** If metrics are below target, note the gaps and adjust EHR agent prompts if time permits. + +--- + +### Task 31: Document Generation Evaluation (BLEU/ROUGE-L) + +**Prerequisites:** Task 28 (if fine-tuned) or Task 26 (if using base model) +**Priority:** Polish + +**Description:** +Implement `evaluation/eval_doc_gen.py`: +1. Generate letters for 50 test triplets from `data/training/test.jsonl`. +2. Compute BLEU (sacrebleu) and ROUGE-L (rouge_score) against reference letters. +3. If fine-tuned model is available, compare fine-tuned vs baseline (3 letters from Task 15). +4. Manual review of 10 test letters for NHS format compliance and clinical accuracy. +5. Append results to `evaluation_report.md`. + +**Files created or modified:** `evaluation/eval_doc_gen.py`, `evaluation_report.md` (append) +**"Done" criteria:** BLEU and ROUGE-L computed. If fine-tuned: fine-tuned scores > baseline scores. Results in evaluation_report.md. +**Verification method:** `cat evaluation_report.md | grep "BLEU\|ROUGE"` shows results. +**If this fails:** If evaluation takes too long, reduce test set to 20 triplets. Focus on getting numbers that demonstrate improvement. + +--- + +### Task 32: UI Visual Polish + +**Prerequisites:** Task 26 +**Priority:** Polish + +**Description:** +Apply visual polish from `clarke_PRD_design_guidelines.md`: + +1. **Hero gradient** (§1): Apply the warm-to-cool gradient behind the dashboard header. +2. **Card styling** (§3–§4): Rounded corners (12px), subtle shadow, hover elevation on patient cards. +3. **Recording indicator** (§4.5 from design_guidelines): Gold pulsing circle with ring animation. +4. **Loading states** (§4.8): Skeleton loaders with shimmer animation during context retrieval and processing. +5. **Document reveal** (§5): Subtle scale animation (0.97→1.0) when the letter first appears. +6. **Typography tightening**: Ensure Inter font loads, correct type scale is applied. +7. **Status badges**: Correct colours for each state (amber for review, green for signed off). +8. **Progress bar**: Three-segment bar with active segment glow. + +Focus on the elements visible in the demo video — they carry the most judging weight. + +**Files created or modified:** `frontend/assets/style.css` (major update), `frontend/ui.py` (add CSS classes), `frontend/components.py` (update) +**"Done" criteria:** UI looks professional and polished. Hero gradient visible on dashboard. Patient cards have hover effects. Recording shows gold pulse. Document appears with subtle animation. Status badges use correct colours. +**Verification method:** Visual inspection in browser at 1920×1080. All specified visual elements are present. +**If this fails:** Prioritise: (1) hero gradient, (2) card styling, (3) recording pulse, (4) status badges. Skip animations if they cause issues. + +--- + +### Task 33: Phase 4 Checkpoint + +**Prerequisites:** Task 26 + any completed Tasks 27–32 +**Priority:** Core + +**Description:** +Assess what was completed in Phase 4 and ensure core functionality still works: + +1. `pytest tests/ -v` — all tests pass (no regressions from polish work). +2. Full demo dry-run of Mrs Thompson scenario — still works end-to-end. +3. Inventory completed nice-to-haves: + - [ ] LoRA fine-tuning completed? + - [ ] LoRA adapter saved? + - [ ] WER evaluation completed? + - [ ] EHR Agent evaluation completed? + - [ ] BLEU/ROUGE-L evaluation completed? + - [ ] UI visually polished? + - [ ] evaluation_report.md populated? + +This inventory informs what to include in the writeup and video. + +**Files created or modified:** None +**"Done" criteria:** Tests pass. Demo works. Inventory documented. +**Verification method:** Test suite + demo run + checklist. +**If this fails:** Fix any regressions before deployment. + +--- + +## PHASE 5 — Deployment & Submission Prep (Hours 22–24) + +**Phase goal:** Public HF Space live, public GitHub repo, all submission artefacts ready. +**Estimated time:** 3 hours +**Day-end checkpoint contribution:** Achieves Day 3 checkpoint — competition-ready (minus video/writeup, scheduled for buffer week). +**Context required:** `clarke_PRD_technical_spec.md` (§3b), `clarke_PRD_implementation.md` (§3 Phase 5, §9). + +--- + +### Task 34: HF Space Deployment + +**Prerequisites:** Task 33 +**Priority:** Core + +**Description:** +Deploy Clarke to a public Hugging Face Space: + +1. Ensure `Dockerfile` is correct and complete (from Task 2). +2. Ensure `requirements.txt` includes all dependencies. +3. Create HF Space with hardware: `a100-large` (A100 40GB GPU). +4. Set `README.md` YAML frontmatter for HF Spaces metadata: + ```yaml + --- + title: Clarke + emoji: 🩺 + colorFrom: blue + colorTo: gold + sdk: docker + app_port: 7860 + hardware: a100-large + --- + ``` +5. Set environment variables as HF Space secrets: `HF_TOKEN`, `USE_MOCK_FHIR=true`. +6. Push code to HF Space repo. +7. Wait for build + startup. +8. Test: access the public URL from an incognito browser, run one demo scenario end-to-end. + +**Deployment decision:** If A100 quota is unavailable or too expensive during development, deploy with `USE_MOCK_FHIR=true` and model mocks, then upgrade to GPU hardware for the final submission. The mock demo still demonstrates the full UI flow. + +**Files created or modified:** `README.md` (update frontmatter), HF Space configuration +**"Done" criteria:** Public HF Space URL is accessible from incognito browser. Demo scenario (select patient → context loads → upload audio → letter generates → sign off) completes without errors. +**Verification method:** Open HF Space URL in incognito browser on a different device. Run Mrs Thompson scenario. +**If this fails:** Check HF Space build logs for errors. Most common issues: Docker build fails (missing system packages), model download fails (HF_TOKEN not set), CUDA not available (wrong hardware tier). If GPU deployment fails entirely: deploy with mock models as a UI demo, note in writeup that full GPU demo is available locally. + +--- + +### Task 35: HF Hub LoRA Adapter Publication + +**Prerequisites:** Tasks 28, 34 +**Priority:** Polish + +**Description:** +If LoRA fine-tuning was completed (Task 28), publish the adapter on HF Hub: + +1. Create a new HF Hub model repository: `{username}/clarke-medgemma-27b-nhs-letter-lora` +2. Upload the LoRA adapter files from `finetuning/adapter/`. +3. Create a model card (README.md) in the repo: + - Description: "LoRA adapter for NHS clinic letter generation, fine-tuned on MedGemma 27B" + - Base model: `google/medgemma-27b-text-it` + - Training details: hyperparameters, dataset size, training loss + - Usage example: loading the adapter with `peft` + - Licence: follow HAI-DEF terms +4. Verify: the model repo page shows correct metadata and files. + +**Files created or modified:** HF Hub model repository files +**"Done" criteria:** Public HF Hub model repo exists, contains adapter files, has model card tracing to `google/medgemma-27b-text-it`. +**Verification method:** Visit the HF Hub model page in a browser. Verify adapter files are listed and model card is readable. +**If this fails:** If upload fails, try manual upload via the HF Hub web interface. If fine-tuning was not completed, skip this task entirely. + +--- + +### Task 36: GitHub Repo & README + +**Prerequisites:** Task 34 +**Priority:** Core + +**Description:** +Prepare the public GitHub repository: + +1. **Code cleanup:** Ensure all `.py` files have module-level docstrings. Remove any debug print statements. Verify all imports are used. +2. **`README.md`** — Write a comprehensive README: + - Project title and one-line description + - Architecture diagram (ASCII art or embedded image): show the three-model pipeline with arrows + - Features list + - Quick start: installation, environment setup, local run + - Evaluation results (from `evaluation_report.md`, if completed) + - Model information: list all 3 HAI-DEF models with HF links + - Links: HF Space demo, HF LoRA adapter (if published) + - Licence: Apache 2.0 for code, HAI-DEF terms for models + - Acknowledgements: MedGemma Impact Challenge, Synthea, HAPI FHIR +3. **Repository setup:** + - `.gitignore` — Python standard + `__pycache__`, `.env`, `logs/`, model weights, `*.wav` (keep demo wavs via LFS or small files) + - Push to public GitHub repository + - Verify: README renders correctly on GitHub + +**Files created or modified:** `README.md` (comprehensive update), `.gitignore`, all `.py` files (docstrings), GitHub repo +**"Done" criteria:** Public GitHub repo has clean code, comprehensive README with architecture diagram, all `.py` files have docstrings, licence file present. +**Verification method:** Visit GitHub repo URL. README renders correctly. `grep -rL '"""' backend/ frontend/ --include="*.py"` returns no files (all have docstrings). +**If this fails:** Focus on README quality first — judges will read it. Docstrings can be minimal if time is short. + +--- + +### Task 37: Final Smoke Test & Submission Checklist + +**Prerequisites:** Task 36 +**Priority:** Core + +**Description:** +Run the complete final verification: + +1. **HF Space test:** Open live HF Space from incognito browser on a different device. Run all 3 demo scenarios. Verify each produces a clinically appropriate letter. +2. **GitHub repo test:** Clone the public repo into a fresh environment. Verify `README.md` has all required sections. Verify all Python files have docstrings. +3. **Links check:** All links in README are valid (HF Space, GitHub, HF model repo if applicable). +4. **Create `submission_checklist.md`:** + +```markdown +# Clarke — Submission Checklist + +## Ready Now (End of 24-Hour Build) +- [ ] Public HF Space: [URL] — accessible, runs 3 demo scenarios +- [ ] Public GitHub repo: [URL] — clean code, README, licence +- [ ] Public LoRA adapter: [URL] (if trained) — traces to google/medgemma-27b-text-it +- [ ] evaluation_report.md — metrics computed (if completed) + +## Buffer Week (Mon 16 – Sun 22 Feb) +- [ ] 3-page writeup (Mon 16 Feb) +- [ ] 3-minute video (Tue 17 – Sat 21 Feb) +- [ ] Final Kaggle submission (Sun 22 Feb) + - [ ] Writeup submitted via Kaggle Writeups tab + - [ ] Agentic Workflow Prize selected + - [ ] All links included: video, GitHub, HF Space, HF model +``` + +**Files created or modified:** `submission_checklist.md` +**"Done" criteria:** All "Ready Now" items are checked. HF Space demo works from external device. GitHub repo is public with complete README. +**Verification method:** Walk through each checklist item. Test each link from incognito browser. +**If this fails:** Fix the specific failing item. Prioritise: HF Space working > GitHub repo > LoRA adapter. + +--- + +### Task 38: Phase 5 Checkpoint — Final + +**Prerequisites:** Task 37 +**Priority:** Core + +**Description:** +Final checkpoint. Verify all Day 3 end-of-build criteria from `clarke_PRD_implementation.md` §5: + +1. ✅ Public HF Space is live and accessible from any browser. +2. ✅ Public GitHub repo with clean code, README with architecture diagram, and docstrings. +3. ✅ At least 3 demo scenarios work flawlessly on the live HF Space. +4. ✅ Submission checklist confirms all competition requirements are met (except video and writeup). + +**Nice-to-haves completed (record for writeup/video planning):** +- LoRA adapter trained and published? Y/N +- WER comparison table? Y/N +- EHR Agent metrics? Y/N +- BLEU/ROUGE-L evaluation? Y/N +- evaluation_report.md populated? Y/N +- UI visually polished? Y/N + +**Files created or modified:** None +**"Done" criteria:** All 4 Day 3 criteria are met. Inventory of completed nice-to-haves is documented. +**Verification method:** Go through each criterion. If all pass: the 24-hour build is complete. Proceed to buffer week for writeup and video. +**If this fails:** The buffer week (Mon 16 – Sun 22 Feb) absorbs remaining work. Prioritise by competition impact: working demo > evaluation metrics > fine-tuning > polish. + +--- + +## Appendix A: Fallback Decision Points Summary + +| Task | Risk | Trigger | Fallback | Impact | +|------|------|---------|----------|--------| +| T11 | MedGemma 4B instruction-following | Fails after 2h of prompt engineering | Deterministic FHIR + summarisation only | Narrative slightly weaker. No downstream changes. | +| T15 | MedGemma 27B won't load | OOM on A100 at 4-bit | Try Ollama GGUF → then 4B for generation | T16–T17 adapt. Quality drops. Pipeline intact. | +| T28 | LoRA training fails | OOM, loss diverges, >2h | Skip fine-tuning. Use base model + prompt engineering. | Skip T35. Redirect time to T29–T32. | +| T29 | MedASR WER >15% | Demo clips produce poor transcripts | Switch to dictation-style audio | Swap audio files. Rest unchanged. | +| T34 | HF Space deployment fails | Build errors, GPU unavailable | Deploy with mock models. Demo UI flow only. | Note GPU demo in writeup as local-only. | + +## Appendix B: PRD Cross-Reference per Phase + +| Phase | Required PRD Files in Context | +|-------|------------------------------| +| 0 | `clarke_PRD_technical_spec.md` (§1–§3, §7–§8) | +| 1 | `clarke_PRD_technical_spec.md` (§6a–§6b, §7, §9), `clarke_PRD_implementation.md` (Phase 1) | +| 2 | `clarke_PRD_technical_spec.md` (§6c, §10), `clarke_PRD_implementation.md` (Phase 2) | +| 3 | `clarke_PRD_technical_spec.md` (§9), `clarke_PRD_design_guidelines.md` (§1–§5), `clarke_PRD_userflow.md` | +| 4 | `clarke_PRD_technical_spec.md` (§6c fine-tuning, §11), `clarke_PRD_design_guidelines.md`, `clarke_PRD_implementation.md` (Phase 4) | +| 5 | `clarke_PRD_technical_spec.md` (§3b), `clarke_PRD_implementation.md` (§3 Phase 5, §9) | + +--- + +*This document is the construction schedule that turns the Clarke blueprint into a working product. Every task traces to a specific section of clarke_PRD_technical_spec.md (architecture), clarke_PRD_implementation.md (build sequence), clarke_PRD_userflow.md (screens), or clarke_PRD_design_guidelines.md (visual specification). Codex executes one task at a time, verifies, and moves on. The user confirms progress at each phase checkpoint.* diff --git a/clarke_PRD_technical_spec.md b/clarke_PRD_technical_spec.md new file mode 100644 index 0000000000000000000000000000000000000000..fdebcd008745fb17020a04022b1f5a3d410f1c53 --- /dev/null +++ b/clarke_PRD_technical_spec.md @@ -0,0 +1,1325 @@ +# Clarke — PRD Technical Specification + +**Version:** 1.0 | **Date:** 13 February 2026 | **Author:** Project Lead +**Status:** Final — engineering blueprint for AI agent (Codex) execution +**Parent document:** clarke_PRD_masterplan.md +**Scope:** Architecture, directory structure, technology stack, data models, API contracts, model serving, FHIR specification, synthetic data, frontend–backend integration, error handling, testing, and known pitfalls +**Not in scope:** Strategic rationale (masterplan.md), build sequencing (implementation.md), visual styling (design_guidelines.md), user journey (userflow.md), granular task list (tasks.md) + +--- + +## 1. Project Directory Tree + +``` +clarke/ +├── app.py # Gradio application entry point (launches UI + mounts FastAPI) +├── Dockerfile # HF Spaces Docker config (nvidia/cuda:12.4.1-runtime-ubuntu22.04) +├── requirements.txt # Pinned Python dependencies +├── .env.template # Environment variable template (copy to .env) +├── README.md # Project overview, architecture diagram, setup, evaluation, licence +├── LICENSE # Apache 2.0 +├── submission_checklist.md # Competition submission verification checklist +├── evaluation_report.md # Quantitative evaluation results (WER, BLEU, ROUGE-L, fact recall) +│ +├── backend/ +│ ├── __init__.py +│ ├── orchestrator.py # Core pipeline coordinator: audio → transcript → context → letter +│ ├── api.py # FastAPI endpoints (patient, consultation, document, health) +│ ├── config.py # Centralised configuration (env vars, model IDs, timeouts) +│ ├── models/ +│ │ ├── __init__.py +│ │ ├── medasr.py # MedASR loading, audio preprocessing, transcription pipeline +│ │ ├── ehr_agent.py # MedGemma 4B EHR agent: FHIR tool-calling or deterministic fallback +│ │ ├── doc_generator.py # MedGemma 27B document generation: prompt assembly + inference +│ │ └── model_manager.py # Shared GPU memory management, model lifecycle, health checks +│ ├── fhir/ +│ │ ├── __init__.py +│ │ ├── client.py # Async FHIR REST client (httpx) for querying HAPI FHIR / mock API +│ │ ├── tools.py # FHIR tool functions for EHR agent (search_patients, get_conditions, etc.) +│ │ ├── mock_api.py # Mock FHIR API (FastAPI endpoints returning pre-loaded JSON) — fallback +│ │ └── queries.py # Deterministic FHIR query patterns (fallback for agentic tool-calling) +│ ├── prompts/ +│ │ ├── document_generation.j2 # Jinja2 template: system + transcript + context → letter prompt +│ │ ├── ehr_agent_system.txt # System prompt for MedGemma 4B EHR agent +│ │ └── context_synthesis.j2 # Jinja2 template: raw FHIR resources → structured context JSON +│ ├── schemas.py # Pydantic data models (Patient, Consultation, Transcript, etc.) +│ ├── audio.py # Audio format conversion (WebM → WAV 16kHz mono via ffmpeg/pydub) +│ ├── errors.py # Custom exception classes, error response models, logging config +│ └── utils.py # Shared utilities (timing decorators, JSON sanitisation) +│ +├── frontend/ +│ ├── __init__.py +│ ├── ui.py # Gradio Blocks UI definition (all screens S1–S6) +│ ├── theme.py # Gradio theme: Clarke colour tokens, typography, spacing +│ ├── components.py # Reusable Gradio component builders (patient card, status badge, etc.) +│ ├── state.py # Gradio session state management +│ └── assets/ +│ ├── style.css # Custom CSS (design_guidelines.md §1–§5 tokens and animations) +│ ├── clarke_logo.svg # Clarke shield/C logo in SVG +│ └── favicon.ico # Browser tab icon +│ +├── data/ +│ ├── synthea/ +│ │ ├── generate.sh # Synthea generation script (50 UK-style patients) +│ │ └── uk_config/ # Synthea UK module config (names, NHS numbers, mmol/L, BNF drugs) +│ ├── fhir_bundles/ +│ │ └── *.json # Pre-generated FHIR Bundle JSON files (50 patients) for mock API +│ ├── demo/ +│ │ ├── mrs_thompson.wav # Demo audio: 67F, T2DM, rising HbA1c (~60s, 16kHz mono WAV) +│ │ ├── mr_okafor.wav # Demo audio: chest pain follow-up (~60s, 16kHz mono WAV) +│ │ ├── ms_patel.wav # Demo audio: asthma review (~60s, 16kHz mono WAV) +│ │ ├── mrs_thompson_transcript.txt # Ground-truth transcript for WER evaluation +│ │ ├── mr_okafor_transcript.txt +│ │ └── ms_patel_transcript.txt +│ ├── training/ +│ │ ├── train.jsonl # 200 training triplets (transcript, context, reference letter) +│ │ └── test.jsonl # 50 held-out test triplets +│ └── clinic_list.json # Demo clinic list metadata (5 patients for dashboard) +│ +├── finetuning/ +│ ├── train_lora.py # QLoRA fine-tuning script for MedGemma 27B +│ ├── generate_training_data.py # Script to generate training triplets via Claude API +│ └── merge_adapter.py # Merge LoRA adapter with base model (optional, for evaluation) +│ +├── evaluation/ +│ ├── eval_medasr.py # WER evaluation: MedASR vs Whisper on test clips +│ ├── eval_ehr_agent.py # Fact recall / precision / hallucination evaluation +│ ├── eval_doc_gen.py # BLEU / ROUGE-L evaluation on held-out test set +│ └── gold_standards/ +│ └── *.json # Gold-standard context summaries for 20 test patients +│ +├── tests/ +│ ├── test_api.py # API endpoint unit tests (one per endpoint) +│ ├── test_medasr.py # MedASR pipeline unit tests +│ ├── test_ehr_agent.py # EHR agent unit tests +│ ├── test_doc_generator.py # Document generator unit tests +│ ├── test_fhir_client.py # FHIR client unit tests +│ ├── test_schemas.py # Pydantic model validation tests +│ └── test_e2e.py # End-to-end pipeline test (audio → transcript → context → letter) +│ +└── scripts/ + ├── start.sh # Single-command launch script (starts FHIR + FastAPI + Gradio) + ├── health_check.sh # Verify all services running + └── setup_fhir.sh # Load synthetic data into FHIR server +``` + +--- + +## 2. Technology Stack + +| Package | Version | Purpose | Notes | +|---|---|---|---| +| Python | 3.11.x | Runtime | HF Spaces base | +| PyTorch | 2.4.x | ML framework | CUDA 12.4 build | +| transformers | 4.47.x | Model loading (MedASR, MedGemma) | HuggingFace | +| bitsandbytes | 0.44.x | 4-bit NF4 quantisation | `pip install --break-system-packages` | +| accelerate | 1.2.x | Device mapping for multi-GPU/CPU offload | | +| peft | 0.13.x | LoRA / QLoRA fine-tuning | | +| trl | 0.12.x | SFTTrainer for supervised fine-tuning | | +| datasets | 3.2.x | HF Datasets for training data loading | | +| Gradio | 5.x | Frontend UI framework | Served within HF Space | +| FastAPI | 0.109.x | Backend REST API | Mounted within Gradio app | +| uvicorn | 0.27.x | ASGI server for FastAPI | | +| httpx | 0.27.x | Async HTTP client (FHIR REST calls) | | +| pydub | 0.25.x | Audio resampling, channel conversion | Requires ffmpeg | +| librosa | 0.10.x | Audio waveform loading / preprocessing | | +| ffmpeg | 7.x (system) | WebM → WAV format conversion | System package, not pip | +| jinja2 | 3.1.x | Prompt template engine | | +| jiwer | 3.0.x | WER computation for MedASR evaluation | | +| rouge_score | latest | ROUGE-L for document generation evaluation | | +| sacrebleu | latest | BLEU for document generation evaluation | | +| openai-whisper | large-v3 | ASR baseline comparison only | | +| reportlab | 4.2.x | PDF export of clinic letters | | +| wandb | 0.18.x | Experiment tracking (fine-tuning) | | +| huggingface_hub | latest | Model upload, Space deployment | | +| python-dotenv | latest | .env file loading | | +| loguru | latest | Structured logging | | + +**Compute allocation:** + +| Component | Runs On | Approx VRAM | +|---|---|---| +| MedASR (105M) | GPU | ~0.5 GB | +| MedGemma 4B (4-bit NF4) | GPU | ~3 GB | +| MedGemma 27B (4-bit NF4) | GPU | ~16 GB | +| FHIR server (HAPI or mock) | CPU | 0 (CPU/RAM only) | +| FastAPI / Gradio | CPU | 0 | +| **Total GPU** | | **~19.5 GB** (fits A100 40GB with headroom for KV cache + fine-tuning) | + +--- + +## 3. Infrastructure and Environment Specification + +### 3a. Environment Variables + +```env +# .env.template — copy to .env and fill values + +# === Model Configuration === +MEDASR_MODEL_ID=google/medasr +MEDGEMMA_4B_MODEL_ID=google/medgemma-1.5-4b-it +MEDGEMMA_27B_MODEL_ID=google/medgemma-27b-text-it +HF_TOKEN=hf_xxxxxxxxxxxxxxxxxxxx # HuggingFace token (gated model access) +QUANTIZE_4BIT=true # Enable 4-bit NF4 quantisation for 4B and 27B +USE_FLASH_ATTENTION=true # Enable flash attention if supported + +# === FHIR Configuration === +FHIR_SERVER_URL=http://localhost:8080/fhir # HAPI FHIR or mock API base URL +USE_MOCK_FHIR=false # Set true to use mock FHIR API (fallback) +FHIR_TIMEOUT_S=10 # FHIR query timeout in seconds + +# === Application Configuration === +APP_HOST=0.0.0.0 +APP_PORT=7860 # Gradio default port on HF Spaces +LOG_LEVEL=INFO # DEBUG | INFO | WARNING | ERROR +MAX_AUDIO_DURATION_S=1800 # Maximum recording length (30 min) +PIPELINE_TIMEOUT_S=120 # Max time for full pipeline (End Consultation → letter) +DOC_GEN_MAX_TOKENS=2048 # Max tokens for MedGemma 27B generation +DOC_GEN_TEMPERATURE=0.3 # Low temperature for factual clinical text + +# === Fine-tuning (optional, Phase 4) === +WANDB_API_KEY= # Weights & Biases API key +WANDB_PROJECT=clarke-finetuning +LORA_RANK=16 +LORA_ALPHA=32 +LORA_DROPOUT=0.05 +TRAINING_EPOCHS=3 +LEARNING_RATE=2e-4 +BATCH_SIZE=2 +GRAD_ACCUM_STEPS=8 +MAX_SEQ_LENGTH=4096 +``` + +### 3b. Cloud Deployment (Primary — HF Spaces A100) + +**Dockerfile:** + +```dockerfile +FROM nvidia/cuda:12.4.1-runtime-ubuntu22.04 + +RUN apt-get update && apt-get install -y \ + python3.11 python3.11-venv python3-pip \ + ffmpeg curl wget git && \ + rm -rf /var/lib/apt/lists/* + +RUN ln -s /usr/bin/python3.11 /usr/bin/python + +WORKDIR /app +COPY requirements.txt . +RUN pip install --break-system-packages --no-cache-dir -r requirements.txt + +COPY . . + +# Load FHIR data and start application +RUN chmod +x scripts/start.sh +EXPOSE 7860 +CMD ["scripts/start.sh"] +``` + +**scripts/start.sh:** + +```bash +#!/bin/bash +set -e + +echo "=== Clarke Startup ===" + +# 1. Start mock FHIR API (or HAPI FHIR) in background +if [ "$USE_MOCK_FHIR" = "true" ]; then + echo "[1/3] Starting mock FHIR API..." + python -m backend.fhir.mock_api & + FHIR_PID=$! + sleep 2 + echo "[1/3] Mock FHIR API running (PID: $FHIR_PID)" +else + echo "[1/3] Using external FHIR server at $FHIR_SERVER_URL" +fi + +# 2. Verify GPU +echo "[2/3] Checking GPU..." +python -c "import torch; assert torch.cuda.is_available(), 'No GPU'; print(f'GPU: {torch.cuda.get_device_name(0)}, VRAM: {torch.cuda.get_device_properties(0).total_mem / 1e9:.1f} GB')" + +# 3. Launch Gradio app (which mounts FastAPI) +echo "[3/3] Starting Clarke application on port ${APP_PORT:-7860}..." +python app.py + +echo "=== Clarke is ready ===" +``` + +**HF Spaces metadata (in README.md YAML frontmatter):** + +```yaml +--- +title: Clarke +emoji: 🩺 +colorFrom: blue +colorTo: gold +sdk: docker +app_port: 7860 +hardware: a100-large +--- +``` + +### 3c. Local Development (MacBook Pro M2 8GB — No GPU) + +Local development runs **only** lightweight components. AI models are either mocked or served from a remote cloud GPU. + +**Local setup:** + +1. Clone repo. Copy `.env.template` to `.env`. +2. Set `USE_MOCK_FHIR=true` in `.env`. +3. Set model IDs to `mock` to activate stubs: `MEDASR_MODEL_ID=mock`, `MEDGEMMA_4B_MODEL_ID=mock`, `MEDGEMMA_27B_MODEL_ID=mock`. +4. `pip install -r requirements.txt` (CPU-only PyTorch). +5. `bash scripts/start.sh` → Gradio UI at `http://localhost:7860`. + +**Model stubs (when model ID = "mock"):** + +Each model module in `backend/models/` checks the model ID. If `mock`, it returns pre-loaded fixture data instead of running inference: + +- **MedASR mock:** Returns the ground-truth transcript from `data/demo/*.txt` for known demo audio files, or a generic placeholder transcript for unknown audio. +- **MedGemma 4B mock:** Returns pre-built context JSON from `data/fhir_bundles/` for known patient IDs. +- **MedGemma 27B mock:** Returns a pre-written reference letter from `data/training/test.jsonl` for known patient IDs. + +This allows full frontend + integration development without GPU access. + +--- + +## 4. Data Models and Schemas + +All models defined as Pydantic v2 `BaseModel` in `backend/schemas.py`. + +```python +"""Clarke data models — Pydantic v2 schemas for all system objects.""" + +from __future__ import annotations +from pydantic import BaseModel, Field +from typing import Optional +from enum import Enum +from datetime import datetime + + +# === Enums === + +class ConsultationStatus(str, Enum): + IDLE = "idle" + RECORDING = "recording" + PAUSED = "paused" + PROCESSING = "processing" + REVIEW = "review" + SIGNED_OFF = "signed_off" + + +class PipelineStage(str, Enum): + TRANSCRIBING = "transcribing" + RETRIEVING_CONTEXT = "retrieving_context" + GENERATING_DOCUMENT = "generating_document" + COMPLETE = "complete" + FAILED = "failed" + + +# === Core Models === + +class Patient(BaseModel): + """A patient in the clinic list.""" + id: str = Field(description="FHIR Patient resource ID") + nhs_number: str = Field(description="NHS number (format: XXX XXX XXXX)") + name: str = Field(description="Full name (e.g., 'Mrs. Margaret Thompson')") + date_of_birth: str = Field(description="DOB in DD/MM/YYYY format") + age: int + sex: str = Field(description="'Male' or 'Female'") + appointment_time: str = Field(description="HH:MM format") + summary: str = Field(description="One-line clinical summary for dashboard card") + + +class LabResult(BaseModel): + """A single laboratory result with trend.""" + name: str = Field(description="e.g., 'HbA1c'") + value: str = Field(description="e.g., '55'") + unit: str = Field(description="e.g., 'mmol/mol'") + reference_range: Optional[str] = Field(default=None, description="e.g., '20-42'") + date: str = Field(description="ISO date of result") + trend: Optional[str] = Field(default=None, description="'rising', 'falling', 'stable', or None") + previous_value: Optional[str] = Field(default=None, description="Previous result value") + previous_date: Optional[str] = Field(default=None) + fhir_resource_id: Optional[str] = Field(default=None, description="Source FHIR Observation ID") + + +class PatientContext(BaseModel): + """Structured patient context synthesised by the EHR Agent from FHIR data.""" + patient_id: str + demographics: dict = Field(description="name, dob, nhs_number, age, sex, address") + problem_list: list[str] = Field(description="Active diagnoses, e.g., ['Type 2 Diabetes Mellitus (2019)', ...]") + medications: list[dict] = Field(description="[{'name': 'Metformin', 'dose': '1g', 'frequency': 'BD', 'fhir_id': '...'}]") + allergies: list[dict] = Field(description="[{'substance': 'Penicillin', 'reaction': 'Anaphylaxis', 'severity': 'high'}]") + recent_labs: list[LabResult] = Field(default_factory=list) + recent_imaging: list[dict] = Field(default_factory=list, description="[{'type': 'CXR', 'date': '...', 'summary': '...'}]") + clinical_flags: list[str] = Field(default_factory=list, description="['HbA1c rising trend over 6 months']") + last_letter_excerpt: Optional[str] = Field(default=None, description="Key excerpt from most recent clinic letter") + retrieval_warnings: list[str] = Field(default_factory=list, description="Warnings if some FHIR queries failed") + retrieved_at: str = Field(description="ISO timestamp of retrieval") + + +class Transcript(BaseModel): + """Consultation transcript produced by MedASR.""" + consultation_id: str + text: str = Field(description="Full transcript text") + duration_s: float = Field(description="Audio duration in seconds") + word_count: int + created_at: str + + +class DocumentSection(BaseModel): + """A single section of the generated clinical letter.""" + heading: str = Field(description="e.g., 'History of presenting complaint'") + content: str = Field(description="Section body text") + editable: bool = Field(default=True) + fhir_sources: list[str] = Field(default_factory=list, description="FHIR resource IDs cited in this section") + + +class ClinicalDocument(BaseModel): + """A generated NHS clinical letter.""" + consultation_id: str + letter_date: str + patient_name: str + patient_dob: str + nhs_number: str + addressee: str = Field(description="GP name and address") + salutation: str = Field(description="e.g., 'Dear Dr. Patel,'") + sections: list[DocumentSection] + medications_list: list[str] = Field(description="Current medications (formatted)") + sign_off: str = Field(description="e.g., 'Dr. S. Chen, Consultant Diabetologist'") + status: ConsultationStatus = ConsultationStatus.REVIEW + generated_at: str + generation_time_s: float = Field(description="Time taken for MedGemma 27B inference") + discrepancies: list[dict] = Field(default_factory=list, description="[{'type': 'allergy_mismatch', 'detail': '...'}]") + + +class Consultation(BaseModel): + """A complete consultation session — links patient, transcript, context, and document.""" + id: str = Field(description="Unique consultation ID (UUID)") + patient: Patient + status: ConsultationStatus = ConsultationStatus.IDLE + pipeline_stage: Optional[PipelineStage] = None + context: Optional[PatientContext] = None + transcript: Optional[Transcript] = None + document: Optional[ClinicalDocument] = None + started_at: Optional[str] = None + ended_at: Optional[str] = None + audio_file_path: Optional[str] = None + + +class PipelineProgress(BaseModel): + """Real-time pipeline progress updates pushed to the UI.""" + consultation_id: str + stage: PipelineStage + progress_pct: int = Field(ge=0, le=100) + message: str = Field(description="Human-readable status, e.g., 'Finalising transcript...'") + + +class ErrorResponse(BaseModel): + """Standardised error response format.""" + error: str = Field(description="Error category: 'model_error', 'fhir_error', 'audio_error', 'timeout'") + message: str = Field(description="Human-readable error message for UI display") + detail: Optional[str] = Field(default=None, description="Technical detail (logged, not shown to user)") + consultation_id: Optional[str] = None + timestamp: str +``` + +**Relationships:** + +- A `Consultation` belongs to one `Patient` and has at most one `Transcript`, one `PatientContext`, and one `ClinicalDocument`. +- A `PatientContext` contains lists of `LabResult` objects. +- A `ClinicalDocument` contains a list of `DocumentSection` objects. +- `PipelineProgress` is a transient event emitted during processing — not persisted. + +--- + +## 5. API Contracts + +All endpoints are served by FastAPI, mounted within the Gradio app at `/api/v1/`. + +### 5a. Endpoint Summary + +| Method | Path | Description | +|---|---|---| +| GET | `/api/v1/health` | System health check (all models + FHIR) | +| GET | `/api/v1/patients` | List all patients in clinic list | +| GET | `/api/v1/patients/{patient_id}` | Get single patient details | +| POST | `/api/v1/patients/{patient_id}/context` | Trigger EHR Agent context retrieval | +| POST | `/api/v1/consultations/start` | Start a consultation (begin recording session) | +| POST | `/api/v1/consultations/{id}/audio` | Upload audio chunk or complete audio file | +| POST | `/api/v1/consultations/{id}/end` | End consultation → trigger full pipeline | +| GET | `/api/v1/consultations/{id}/transcript` | Get current transcript | +| GET | `/api/v1/consultations/{id}/document` | Get generated document | +| POST | `/api/v1/consultations/{id}/document/regenerate-section` | Regenerate one section | +| POST | `/api/v1/consultations/{id}/document/sign-off` | Sign off document | +| GET | `/api/v1/consultations/{id}/progress` | Get current pipeline progress | + +### 5b. Endpoint Details + +**GET `/api/v1/health`** + +```json +// Response 200 +{ + "status": "healthy", + "models": { + "medasr": {"loaded": true, "device": "cuda:0"}, + "medgemma_4b": {"loaded": true, "device": "cuda:0", "quantised": "4bit"}, + "medgemma_27b": {"loaded": true, "device": "cuda:0", "quantised": "4bit"} + }, + "fhir": {"status": "connected", "patient_count": 50}, + "gpu": {"name": "A100-SXM4-40GB", "vram_used_gb": 19.5, "vram_total_gb": 40.0}, + "timestamp": "2026-02-13T14:00:00Z" +} +``` + +**GET `/api/v1/patients`** + +```json +// Response 200 +{ + "patients": [ + { + "id": "pt-001", + "nhs_number": "943 476 5829", + "name": "Mrs. Margaret Thompson", + "date_of_birth": "14/03/1958", + "age": 67, + "sex": "Female", + "appointment_time": "14:00", + "summary": "Follow-up — Type 2 Diabetes, rising HbA1c" + } + ] +} +``` + +**POST `/api/v1/patients/{patient_id}/context`** + +```json +// Request: empty body (patient_id in URL path) +// Response 200: PatientContext JSON (see §4 schema) +// Response 404: {"error": "fhir_error", "message": "Patient not found in EHR", ...} +// Response 504: {"error": "timeout", "message": "EHR context retrieval timed out", ...} +``` + +**POST `/api/v1/consultations/start`** + +```json +// Request +{"patient_id": "pt-001"} + +// Response 201 +{ + "consultation_id": "cons-uuid-xxxx", + "patient_id": "pt-001", + "status": "recording", + "started_at": "2026-02-13T14:05:00Z" +} +``` + +**POST `/api/v1/consultations/{id}/audio`** + +```json +// Request: multipart/form-data +// Field: "audio_file" — WAV file (16kHz mono) or WebM (server converts) +// Field: "is_final" — boolean (true = complete audio, false = chunk for streaming) + +// Response 200 +{"consultation_id": "cons-uuid-xxxx", "audio_received": true, "duration_s": 62.5} +``` + +**POST `/api/v1/consultations/{id}/end`** + +This is the main pipeline trigger. It finalises the transcript, synthesises context, and generates the document. + +```json +// Request: empty body (or optionally upload final audio) +// Response 202 (Accepted — processing started) +{ + "consultation_id": "cons-uuid-xxxx", + "status": "processing", + "pipeline_stage": "transcribing", + "message": "Pipeline started. Poll /progress for updates." +} + +// Error 408: {"error": "timeout", "message": "Pipeline exceeded 120s timeout", ...} +// Error 500: {"error": "model_error", "message": "Document generation failed", ...} +``` + +**GET `/api/v1/consultations/{id}/document`** + +```json +// Response 200: ClinicalDocument JSON (see §4 schema) +// Response 404: {"error": "not_found", "message": "No document generated yet"} +``` + +**POST `/api/v1/consultations/{id}/document/regenerate-section`** + +```json +// Request +{"section_index": 2, "instruction": "Make this section more concise"} + +// Response 200 +{"section_index": 2, "heading": "Investigation results", "content": "...(regenerated)..."} +``` + +**POST `/api/v1/consultations/{id}/document/sign-off`** + +```json +// Request +{"edited_sections": [{"index": 1, "content": "Updated text..."}]} + +// Response 200 +{"consultation_id": "...", "status": "signed_off", "signed_at": "2026-02-13T14:08:00Z"} +``` + +**GET `/api/v1/consultations/{id}/progress`** + +```json +// Response 200: PipelineProgress JSON +{ + "consultation_id": "...", + "stage": "generating_document", + "progress_pct": 66, + "message": "Generating clinical letter..." +} +``` + +--- + +## 6. Model Serving Specification + +### 6a. MedASR (Speech Recognition) + +| Property | Value | +|---|---| +| **HF Model ID** | `google/medasr` | +| **Parameters** | 105M | +| **Architecture** | Conformer-based ASR (AutoModelForSpeechSeq2Seq) | +| **GPU VRAM** | ~0.5 GB | +| **Quantisation** | None needed (small model) | +| **Loading** | `transformers.pipeline("automatic-speech-recognition", model="google/medasr", device="cuda:0")` | + +**Input format:** + +```python +# 16kHz mono WAV, float32 waveform +# Loaded via librosa or pydub +import librosa +waveform, sr = librosa.load("audio.wav", sr=16000, mono=True) +# waveform: numpy array, shape (n_samples,), dtype float32 +``` + +**Inference call:** + +```python +result = pipeline( + waveform, + chunk_length_s=20, + stride_length_s=(4, 2), + return_timestamps=True, + generate_kwargs={"language": "en", "task": "transcribe"} +) +transcript_text = result["text"] +``` + +**Output format:** + +```json +{ + "text": "Hello Mrs Thompson, good to see you again. How have you been since we last met?", + "chunks": [ + {"text": "Hello Mrs Thompson,", "timestamp": [0.0, 1.5]}, + {"text": "good to see you again.", "timestamp": [1.5, 3.2]} + ] +} +``` + +**Timeout:** 30s per 60s of audio. **Retry:** 1 retry on timeout. + +**Mock (local dev):** Return text from `data/demo/{patient}_transcript.txt`. + +### 6b. MedGemma 1.5 4B (EHR Agent) + +| Property | Value | +|---|---| +| **HF Model ID** | `google/medgemma-1.5-4b-it` | +| **Parameters** | 4B | +| **Architecture** | Gemma-based, instruction-tuned, multimodal (text capabilities used) | +| **GPU VRAM** | ~3 GB (4-bit NF4) | +| **Quantisation** | 4-bit NF4 via bitsandbytes (`load_in_4bit=True`, `bnb_4bit_compute_dtype=bfloat16`) | + +**Loading:** + +```python +from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig + +bnb_config = BitsAndBytesConfig( + load_in_4bit=True, + bnb_4bit_quant_type="nf4", + bnb_4bit_compute_dtype=torch.bfloat16, + bnb_4bit_use_double_quant=True, +) + +tokenizer = AutoTokenizer.from_pretrained("google/medgemma-1.5-4b-it") +model = AutoModelForCausalLM.from_pretrained( + "google/medgemma-1.5-4b-it", + quantization_config=bnb_config, + device_map="auto", + torch_dtype=torch.bfloat16, +) +``` + +**Primary mode — Agentic tool-calling via LangGraph:** + +The EHR Agent receives a patient ID, plans which FHIR queries to run, executes them, and synthesises a structured PatientContext JSON. If LangGraph tool-calling works reliably, this is the preferred mode. + +**Fallback mode — Deterministic FHIR + MedGemma summarisation:** + +If MedGemma 4B's instruction-following is unreliable (see §12), use deterministic Python functions to execute a fixed set of FHIR queries, then pass the raw FHIR JSON to MedGemma 4B for summarisation into the PatientContext schema only. + +**FHIR tool functions available to the agent:** + +```python +def search_patients(name: str) -> list[dict]: # GET /fhir/Patient?name={name} +def get_conditions(patient_id: str) -> list[dict]: # GET /fhir/Condition?patient={id} +def get_medications(patient_id: str) -> list[dict]: # GET /fhir/MedicationRequest?patient={id} +def get_observations(patient_id: str, category: str = "laboratory") -> list[dict]: + # GET /fhir/Observation?patient={id}&category={category}&_sort=-date&_count=20 +def get_allergies(patient_id: str) -> list[dict]: # GET /fhir/AllergyIntolerance?patient={id} +def get_diagnostic_reports(patient_id: str) -> list[dict]: + # GET /fhir/DiagnosticReport?patient={id}&_sort=-date&_count=5 +def get_recent_encounters(patient_id: str) -> list[dict]: + # GET /fhir/Encounter?patient={id}&_sort=-date&_count=3 +``` + +**System prompt (ehr_agent_system.txt):** + +``` +You are a clinical EHR navigation agent. Your task is to retrieve and synthesise a patient's medical context from FHIR resources to support clinical documentation. + +Given a patient ID, use the available FHIR tools to retrieve: +1. Demographics (Patient resource) +2. Active conditions/diagnoses (Condition resources) +3. Current medications (MedicationRequest resources) +4. Allergies (AllergyIntolerance resources) +5. Recent laboratory results — last 6 months (Observation resources, category=laboratory) +6. Recent imaging reports (DiagnosticReport resources) + +After retrieval, synthesise the data into the following JSON structure ONLY. Do not include any explanation, commentary, or markdown formatting. Output ONLY valid JSON: + +{ + "patient_id": "...", + "demographics": {...}, + "problem_list": ["..."], + "medications": [{...}], + "allergies": [{...}], + "recent_labs": [{...}], + "recent_imaging": [{...}], + "clinical_flags": ["..."], + "last_letter_excerpt": "...", + "retrieval_warnings": [], + "retrieved_at": "..." +} +``` + +**Output parsing (critical — see §12):** + +```python +import re, json + +def parse_agent_output(raw_output: str) -> dict: + """Extract JSON from MedGemma 4B output, stripping meta-commentary.""" + # Remove system prompt leaks + raw_output = re.sub(r'<\|system\|>.*?<\|end\|>', '', raw_output, flags=re.DOTALL) + # Remove markdown code fences + raw_output = re.sub(r'```json\s*', '', raw_output) + raw_output = re.sub(r'```\s*', '', raw_output) + # Extract first JSON object + match = re.search(r'\{[\s\S]*\}', raw_output) + if match: + return json.loads(match.group()) + raise ValueError("No valid JSON found in agent output") +``` + +**Timeout:** 15s for context retrieval. **Retry:** 1 retry. **Fallback on failure:** Return partial context with `retrieval_warnings`. + +### 6c. MedGemma 27B (Document Generation) + +| Property | Value | +|---|---| +| **HF Model ID** | `google/medgemma-27b-text-it` | +| **Parameters** | 27B | +| **Architecture** | Gemma-based, text-only, instruction-tuned | +| **GPU VRAM** | ~16 GB (4-bit NF4) | +| **Quantisation** | 4-bit NF4 via bitsandbytes (same config as 4B but for 27B model) | + +**Loading:** + +```python +bnb_config = BitsAndBytesConfig( + load_in_4bit=True, + bnb_4bit_quant_type="nf4", + bnb_4bit_compute_dtype=torch.bfloat16, + bnb_4bit_use_double_quant=True, +) + +tokenizer = AutoTokenizer.from_pretrained("google/medgemma-27b-text-it") +model = AutoModelForCausalLM.from_pretrained( + "google/medgemma-27b-text-it", + quantization_config=bnb_config, + device_map="auto", + torch_dtype=torch.bfloat16, +) +``` + +**Prompt template (document_generation.j2):** + +```jinja2 +<|system|> +You are an NHS clinical documentation assistant. Generate a structured NHS clinic letter from the consultation transcript and patient context provided below. + +FORMAT REQUIREMENTS: +- Date: {{ letter_date }} +- Addressee: GP (name and address from patient record) +- Re: Patient name, DOB +- Salutation: "Dear Dr. [GP name]," +- Sections: History of presenting complaint | Examination findings (if discussed) | Investigation results (use EXACT values from patient context) | Assessment and plan | Current medications +- Sign-off: "Yours sincerely, {{ clinician_name }}, {{ clinician_title }}" + +RULES: +1. Use EXACT lab values from the patient context — do not fabricate or round values. +2. Include both positive and negative findings discussed in the consultation. +3. If the transcript mentions a result, cross-reference it with the patient context. If values differ, flag with [DISCREPANCY]. +4. Write in third person, past tense, formal British medical English. +5. Do NOT include information not discussed in the consultation or present in the patient context. +6. Keep the letter concise — aim for 300-500 words. +<|end|> + +<|user|> +## CONSULTATION TRANSCRIPT +{{ transcript }} + +## PATIENT CONTEXT (from Electronic Health Record) +{{ context_json }} + +Generate the NHS clinic letter now. +<|end|> + +<|assistant|> +``` + +**Generation parameters:** + +```python +generation_config = { + "max_new_tokens": 2048, + "temperature": 0.3, + "top_p": 0.9, + "top_k": 40, + "do_sample": True, + "repetition_penalty": 1.1, +} +``` + +**Output parsing:** Split generated text into sections by detecting headings (bold markers or known section names). Return as list of `DocumentSection` objects. + +**Timeout:** 90s. **Retry:** 1 retry with reduced `max_new_tokens=1024`. **Fallback on total failure:** Use MedGemma 4B with extensive prompt engineering for generation (lower quality but functional). + +**Fallback loading if 27B fails on A100 40GB:** +1. Try GGUF Q8_0 via Ollama (`ollama run hf.co/unsloth/medgemma-27b-it-GGUF:Q8_0`). Switch inference to Ollama REST API (`POST http://localhost:11434/api/generate`). +2. If Ollama fails: use MedGemma 4B for generation. + +--- + +## 7. FHIR Server Specification + +### 7a. Primary: HAPI FHIR Server + +- **Image:** `hapiproject/hapi:v7.4.0` +- **FHIR Version:** R4 +- **Port:** 8080 (internal) +- **Data:** 50 Synthea-generated UK-style patients loaded via `POST /fhir` Bundle transactions. + +### 7b. FHIR Resources Used + +| Resource Type | Purpose | Key Fields | +|---|---|---| +| Patient | Demographics | name, birthDate, identifier (NHS number), gender, address | +| Condition | Problem list / diagnoses | code (SNOMED), clinicalStatus, onsetDateTime | +| MedicationRequest | Current medications | medicationCodeableConcept, dosageInstruction, status=active | +| Observation | Lab results | code (LOINC), valueQuantity, effectiveDateTime, referenceRange | +| AllergyIntolerance | Allergies | code, reaction, criticality | +| DiagnosticReport | Imaging / reports | code, conclusion, effectiveDateTime | +| Encounter | Recent visits | type, period, reasonCode | + +### 7c. FHIR Query Patterns + +``` +GET /fhir/Patient/{id} +GET /fhir/Patient?name={name}&_count=10 +GET /fhir/Condition?patient={id}&clinical-status=active +GET /fhir/MedicationRequest?patient={id}&status=active +GET /fhir/Observation?patient={id}&category=laboratory&_sort=-date&_count=20 +GET /fhir/AllergyIntolerance?patient={id} +GET /fhir/DiagnosticReport?patient={id}&_sort=-date&_count=5 +GET /fhir/Encounter?patient={id}&_sort=-date&_count=3 +``` + +### 7d. Fallback: Mock FHIR API + +If HAPI FHIR setup fails within HF Spaces Docker (Risk 5 in masterplan.md §8), replace with `backend/fhir/mock_api.py` — a FastAPI app that serves pre-loaded JSON from `data/fhir_bundles/`. Exposes the same REST endpoints. The EHR Agent code makes identical HTTP calls either way. + +```python +# mock_api.py — simplified structure +from fastapi import FastAPI +import json, os + +app = FastAPI() +BUNDLES_DIR = "data/fhir_bundles" + +@app.get("/fhir/Patient/{patient_id}") +async def get_patient(patient_id: str): + return load_resource(patient_id, "Patient") + +@app.get("/fhir/Condition") +async def get_conditions(patient: str): + return load_resources(patient, "Condition") + +# ... same pattern for all resource types +``` + +--- + +## 8. Synthetic Data Specification + +### 8a. Patients + +**50 Synthea-generated patients** with UK customisation: + +- **Names:** UK-style (e.g., Margaret Thompson, Emeka Okafor, Priya Patel). Manually patched for 5 demo patients. +- **Identifiers:** NHS numbers (format: XXX XXX XXXX, 10 digits, valid checksum). +- **Units:** mmol/L for glucose, mmol/mol for HbA1c, μmol/L for creatinine, mL/min for eGFR. +- **Drug names:** BNF-standard (metformin, ramipril, atorvastatin — not brand names). +- **Clinical scenarios:** Distributed across: diabetes (10), COPD (5), heart failure (5), CKD (5), hypertension (5), cancer follow-up (3), mental health (3), orthopaedic (3), asthma (5), miscellaneous (6). + +### 8b. Demo Patients (3 primary + 2 supporting) + +| # | Name | Age/Sex | Scenario | Key FHIR Data | Demo Audio | +|---|---|---|---|---|---| +| 1 | Mrs. Margaret Thompson | 67F | T2DM, rising HbA1c, start gliclazide | HbA1c 55↑ (was 48), eGFR 52↓, Penicillin allergy, Metformin 1g BD | ✅ ~60s WAV | +| 2 | Mr. Emeka Okafor | 54M | Chest pain follow-up post-angiography | Normal coronaries on angiogram, Troponin negative, BP 148/92 | ✅ ~60s WAV | +| 3 | Ms. Priya Patel | 28F | Asthma review, poor inhaler technique | Peak flow 320 (pred 450), Salbutamol 4x/week, no preventer | ✅ ~60s WAV | +| 4 | Mr. David Williams | 72M | Heart failure review | EF 35%, BNP 450, on bisoprolol + ramipril + furosemide | Dashboard only | +| 5 | Mrs. Fatima Khan | 45F | Depression follow-up | PHQ-9 score 12, on sertraline 100mg | Dashboard only | + +### 8c. Example FHIR Patient Resource + +```json +{ + "resourceType": "Patient", + "id": "pt-001", + "identifier": [ + { + "system": "https://fhir.nhs.uk/Id/nhs-number", + "value": "9434765829" + } + ], + "name": [ + { + "use": "official", + "prefix": ["Mrs"], + "given": ["Margaret"], + "family": "Thompson" + } + ], + "gender": "female", + "birthDate": "1958-03-14", + "address": [ + { + "line": ["12 Oak Lane"], + "city": "London", + "postalCode": "SE1 4AB", + "country": "GB" + } + ], + "generalPractitioner": [ + { + "display": "Dr. R. Patel, Riverside Medical Centre" + } + ] +} +``` + +### 8d. Example FHIR Observation (Lab Result) + +```json +{ + "resourceType": "Observation", + "id": "obs-hba1c-001", + "status": "final", + "category": [ + { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/observation-category", + "code": "laboratory" + } + ] + } + ], + "code": { + "coding": [ + { + "system": "http://loinc.org", + "code": "4548-4", + "display": "Hemoglobin A1c/Hemoglobin.total in Blood" + } + ], + "text": "HbA1c" + }, + "subject": {"reference": "Patient/pt-001"}, + "effectiveDateTime": "2026-01-15", + "valueQuantity": { + "value": 55, + "unit": "mmol/mol", + "system": "http://unitsofmeasure.org", + "code": "mmol/mol" + }, + "referenceRange": [ + { + "low": {"value": 20, "unit": "mmol/mol"}, + "high": {"value": 42, "unit": "mmol/mol"}, + "text": "20-42 mmol/mol (normal)" + } + ] +} +``` + +### 8e. Example FHIR AllergyIntolerance + +```json +{ + "resourceType": "AllergyIntolerance", + "id": "allergy-001", + "clinicalStatus": { + "coding": [{"system": "http://terminology.hl7.org/CodeSystem/allergyintolerance-clinical", "code": "active"}] + }, + "type": "allergy", + "category": ["medication"], + "criticality": "high", + "code": { + "coding": [{"system": "http://snomed.info/sct", "code": "764146007", "display": "Penicillin"}], + "text": "Penicillin" + }, + "patient": {"reference": "Patient/pt-001"}, + "reaction": [ + { + "manifestation": [{"coding": [{"display": "Anaphylaxis"}]}], + "severity": "severe" + } + ] +} +``` + +### 8f. Example FHIR Condition + +```json +{ + "resourceType": "Condition", + "id": "cond-t2dm-001", + "clinicalStatus": { + "coding": [{"system": "http://terminology.hl7.org/CodeSystem/condition-clinical", "code": "active"}] + }, + "code": { + "coding": [{"system": "http://snomed.info/sct", "code": "44054006", "display": "Type 2 diabetes mellitus"}], + "text": "Type 2 Diabetes Mellitus" + }, + "subject": {"reference": "Patient/pt-001"}, + "onsetDateTime": "2019-06-01" +} +``` + +### 8g. Audio Files + +- **Format:** WAV, 16kHz sample rate, mono, 16-bit PCM. +- **Duration:** 60–90 seconds each. +- **Content:** Simulated clinician–patient dialogue. Clear speech, minimal background noise. UK-accented English where possible. +- **Generation:** Self-recorded or generated via TTS (e.g., Google Cloud TTS with en-GB voices). Post-processed with `ffmpeg -i input.webm -ar 16000 -ac 1 -acodec pcm_s16le output.wav`. + +### 8h. Demo Clinic List (clinic_list.json) + +```json +{ + "clinician": { + "name": "Dr. Sarah Chen", + "specialty": "Diabetes & Endocrinology", + "title": "Consultant Diabetologist" + }, + "date": "13 February 2026", + "patients": [ + {"id": "pt-001", "name": "Mrs. Margaret Thompson", "age": 67, "sex": "Female", "time": "14:00", "summary": "Follow-up — Type 2 Diabetes, rising HbA1c"}, + {"id": "pt-002", "name": "Mr. Emeka Okafor", "age": 54, "sex": "Male", "time": "14:20", "summary": "Follow-up — Chest pain, post-angiography"}, + {"id": "pt-003", "name": "Ms. Priya Patel", "age": 28, "sex": "Female", "time": "14:40", "summary": "Review — Asthma, poor symptom control"}, + {"id": "pt-004", "name": "Mr. David Williams", "age": 72, "sex": "Male", "time": "15:00", "summary": "Review — Heart failure, recent decompensation"}, + {"id": "pt-005", "name": "Mrs. Fatima Khan", "age": 45, "sex": "Female", "time": "15:20", "summary": "Follow-up — Depression, medication review"} + ] +} +``` + +--- + +## 9. Frontend–Backend Integration + +### 9a. Architecture Pattern + +**Single Gradio app with embedded FastAPI.** The Gradio Blocks UI and the FastAPI backend run in the same Python process. Gradio handles the browser-facing UI and calls backend functions directly via Python (no HTTP for Gradio ↔ backend communication within the same process). The FastAPI routes are mounted for external access and for structured API contracts (testing, future clients). + +```python +# app.py — simplified structure +import gradio as gr +from fastapi import FastAPI +from backend.api import router as api_router +from frontend.ui import build_ui + +fast_api = FastAPI() +fast_api.include_router(api_router, prefix="/api/v1") + +demo = build_ui() # Returns gr.Blocks +demo = gr.mount_gradio_app(fast_api, demo, path="/") + +if __name__ == "__main__": + import uvicorn + uvicorn.run(fast_api, host="0.0.0.0", port=7860) +``` + +### 9b. State Management + +- **Session state:** Managed via `gr.State` — holds the current `Consultation` object (including patient, transcript, context, document, status). +- **No database.** All state is in-memory per session. State resets on page refresh (per userflow.md §5). +- **No localStorage.** No browser-side persistence. + +### 9c. Screen ↔ Backend Mapping + +| Screen | User Action | Gradio Event | Backend Call | UI Update | +|---|---|---|---|---| +| S1 (Dashboard) | Click patient card | `gr.Button.click` | `get_patient_context(patient_id)` → calls FHIR agent | Transition to S2, populate context panel | +| S2 (Patient Context) | Click "Start Consultation" | `gr.Button.click` | `start_consultation(patient_id)` | Transition to S3, start audio capture JS | +| S3 (Live Consultation) | Audio streaming | JavaScript `MediaRecorder` → WebSocket or periodic upload | `upload_audio_chunk()` | Live transcript panel updates | +| S3 | Click "End Consultation" | `gr.Button.click` | `end_consultation(consultation_id)` → triggers full pipeline | Transition to S4, show progress | +| S4 (Processing) | Automatic | Polling via `gr.Timer` or `gr.every()` | `get_pipeline_progress()` | Progress bar fills through 3 stages | +| S4 → S5 | Pipeline complete | Progress reaches 100% | `get_document()` | Transition to S5, reveal letter | +| S5 (Document Review) | Click paragraph to edit | JavaScript `contenteditable` | Edit stored in `gr.State` | Paragraph highlight, gold border | +| S5 | Click "Regenerate" on section | `gr.Button.click` | `regenerate_section(consultation_id, section_idx)` | Section skeleton → new text | +| S5 | Click "Sign Off" | `gr.Button.click` | `sign_off(consultation_id, edited_sections)` | Transition to S6, status → green | +| S6 (Signed Off) | Click "Next Patient" | `gr.Button.click` | Reset `gr.State` | Transition to S1 | + +### 9d. Real-Time Updates + +**Pipeline progress (S4):** Use `gr.Timer(every=1)` to poll `get_pipeline_progress()` every second during the processing state. When `stage == "complete"`, stop polling and transition to S5. + +**Live transcript (S3):** Two options depending on Gradio capability: +1. **Preferred:** JavaScript interop — browser `MediaRecorder` captures audio chunks every 5s, sends via `fetch()` to `/api/v1/consultations/{id}/audio`, receives partial transcript in response. Update transcript `gr.Textbox` via Gradio event. +2. **Fallback:** No streaming transcript. Audio is captured entirely in browser, sent as one file when "End Consultation" is clicked. Transcript appears only during processing. + +### 9e. Audio Capture + +```javascript +// JavaScript injected into Gradio via gr.HTML or gr.JavaScript +// Captures audio from browser microphone, sends chunks to backend + +const mediaRecorder = new MediaRecorder(stream, {mimeType: 'audio/webm;codecs=opus'}); +mediaRecorder.ondataavailable = async (e) => { + const formData = new FormData(); + formData.append('audio_file', e.data, 'chunk.webm'); + formData.append('is_final', 'false'); + await fetch(`/api/v1/consultations/${consultationId}/audio`, { + method: 'POST', body: formData + }); +}; +mediaRecorder.start(5000); // Chunk every 5 seconds +``` + +Server-side conversion in `backend/audio.py`: + +```python +from pydub import AudioSegment + +def convert_to_wav_16k(input_path: str, output_path: str) -> str: + """Convert any audio format to 16kHz mono WAV for MedASR.""" + audio = AudioSegment.from_file(input_path) + audio = audio.set_frame_rate(16000).set_channels(1).set_sample_width(2) + audio.export(output_path, format="wav") + return output_path +``` + +--- + +## 10. Error Handling and Resilience + +### 10a. Tiered Error Strategy + +**Tier 1 — Self-healing (user never notices):** + +| Failure | Retry Policy | Circuit Breaker | +|---|---|---| +| FHIR query timeout | 2 retries, backoff [1s, 3s] | After 3 consecutive failures, mark FHIR as degraded | +| MedASR chunk processing error | 1 retry immediately | Skip chunk, proceed with remaining audio | +| MedGemma 4B slow response | 1 retry with simplified prompt | After 2 failures, switch to deterministic FHIR fallback | + +**Tier 2 — Graceful degradation (user informed, workflow continues):** + +| Component Failure | Degraded Behaviour | User Sees | +|---|---|---| +| MedGemma 4B returns no/partial context | Generate letter from transcript only (no EHR enrichment) | Warning badge on S2: "Some records unavailable" | +| MedASR returns empty transcript | Prompt user to re-record or upload audio | Alert on S4: "Audio could not be transcribed" | +| FHIR server down entirely | All context panels show "EHR unavailable" | Warning on S2 + letter generated from transcript only | +| Section regeneration fails | Keep existing section text | Toast: "Could not regenerate. Original text preserved." | + +**Tier 3 — Informative failure (user must act):** + +| Failure | Error Message | Actions | +|---|---|---| +| MedGemma 27B OOM | "Document generation failed due to server memory. Please try again." | "Retry" button, "Return to Dashboard" | +| Audio file corrupted | "The audio file appears to be corrupted. Please re-record." | "Re-record", "Upload Audio File" | +| Pipeline timeout (>120s) | "Document generation is taking longer than expected." | "Retry", "Return to Dashboard" | +| GPU unavailable | "Clarke requires GPU acceleration which is currently unavailable." | "Return to Dashboard" | + +### 10b. Error Response Format + +All API errors return `ErrorResponse` (see §4 schema): + +```json +{ + "error": "model_error", + "message": "Document generation failed. Please try again.", + "detail": "RuntimeError: CUDA out of memory. Tried to allocate 2.00 GiB", + "consultation_id": "cons-uuid-xxxx", + "timestamp": "2026-02-13T14:07:32Z" +} +``` + +- `message` is shown to the user. +- `detail` is logged but never shown to the user. + +### 10c. Logging + +```python +from loguru import logger + +# Format: timestamp | level | component | message | context +logger.add( + "logs/clarke_{time}.log", + format="{time:YYYY-MM-DD HH:mm:ss.SSS} | {level:<7} | {extra[component]:<15} | {message}", + rotation="50 MB", + retention="7 days", + level="DEBUG", +) + +# Usage +logger.bind(component="medasr").info("Transcription complete", duration_s=12.3, word_count=245) +logger.bind(component="ehr_agent").error("FHIR query failed", patient_id="pt-001", exc_info=True) +``` + +Logs stored in `logs/` directory (not user-accessible). On HF Spaces, `print()` output goes to the Space's log tab. + +--- + +## 11. Testing Specification + +### 11a. Unit Tests + +| Test File | What It Validates | Pass Criteria | +|---|---|---| +| `test_schemas.py` | All Pydantic models validate with valid data, reject invalid data | All valid fixtures pass validation; invalid fixtures raise `ValidationError` | +| `test_medasr.py` | Audio preprocessing (resample, mono conversion); mock transcription returns expected text | WAV output is 16kHz mono; mock returns correct transcript | +| `test_ehr_agent.py` | FHIR tool functions return valid JSON; output parser extracts JSON from messy output; deterministic fallback works | Tools return FHIR-compliant JSON; parser handles meta-commentary | +| `test_doc_generator.py` | Prompt template renders correctly with all variables; output parser splits sections; mock generation returns valid ClinicalDocument | Template contains transcript + context; parsed sections have headings | +| `test_fhir_client.py` | FHIR client constructs correct query URLs; handles 404 and timeout gracefully | URLs match expected patterns; errors return empty results, not exceptions | +| `test_api.py` | Each API endpoint returns correct status code and schema | `/health` → 200, `/patients` → 200 with list, `/consultations/start` → 201, etc. | + +### 11b. Integration Tests + +| Test | What It Validates | Pass Criteria | +|---|---|---| +| `test_e2e.py::test_full_pipeline` | Audio file → MedASR → transcript → EHR Agent → context → MedGemma 27B → document | Document contains both transcript content AND FHIR-sourced lab values | +| `test_e2e.py::test_mrs_thompson_scenario` | Mrs Thompson demo scenario produces clinically appropriate letter | Letter mentions HbA1c 55, eGFR 52, Penicillin allergy, gliclazide | +| `test_e2e.py::test_pipeline_timeout` | Pipeline respects 120s timeout and returns graceful error | Returns ErrorResponse with `error="timeout"` within 130s | +| `test_e2e.py::test_fhir_failure_degradation` | Pipeline continues when FHIR server is unreachable | Letter is generated from transcript only; context warnings present | + +### 11c. Smoke Tests (Pre-Demo) + +1. Open Clarke in incognito browser → dashboard loads with 5 patients. +2. Select Mrs. Thompson → context panel populates within 10s. +3. Click "Start Consultation" → play `mrs_thompson.wav` → click "End Consultation". +4. Letter appears within 60s containing HbA1c value from FHIR. +5. Edit one paragraph → Sign Off → status turns green. + +--- + +## 12. Known Technical Pitfalls and Defensive Coding Requirements + +### Pitfall 1: MedGemma 4B Instruction-Following Bugs + +**Issue:** MedGemma 4B (`google/medgemma-1.5-4b-it`) is reported to leak system prompts into output, generate meta-commentary ("Here is the JSON you requested:"), output chain-of-thought training artifacts, and include special tokens in responses. + +**Defensive coding:** +- **Always parse output with `parse_agent_output()`** (§6b) — never pass raw model output to downstream components. +- **Strip everything before the first `{` and after the last `}`** in JSON extraction. +- **Validate parsed JSON against the `PatientContext` Pydantic schema** — reject and retry if validation fails. +- **Implement deterministic FHIR fallback** in `backend/fhir/queries.py` — if agentic tool-calling fails after 2 attempts, switch to hardcoded FHIR queries + MedGemma 4B summarisation-only mode. +- **Test with ≥5 different patient scenarios** before declaring the agent working. + +### Pitfall 2: MedGemma 27B VRAM Requirements + +**Issue:** MedGemma 27B requires ~54GB VRAM unquantised. Even with 4-bit NF4 quantisation (~16GB), three models loaded simultaneously need ~19.5GB, leaving limited headroom on A100 40GB. + +**Defensive coding:** +- **Always load with `BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_use_double_quant=True)`.** +- **Use `device_map="auto"`** to allow accelerate to manage memory. +- **Monitor VRAM before inference:** `torch.cuda.memory_allocated()`. If >35GB used, clear KV cache with `torch.cuda.empty_cache()` before generation. +- **For fine-tuning:** Unload MedASR and MedGemma 4B before training. Reload after. +- **Fallback path:** If 27B fails to load → try Ollama GGUF Q8_0 → if that fails → use 4B for generation. + +### Pitfall 3: GPU Memory Management with Three Concurrent Models + +**Issue:** MedASR, MedGemma 4B, and MedGemma 27B all on one GPU. KV cache growth during generation can cause OOM. + +**Defensive coding:** +- **Sequential inference, not parallel.** Never run two models simultaneously. +- **Call `torch.cuda.empty_cache()`** between each model's inference step. +- **Set `max_new_tokens` conservatively** (2048 for 27B, 512 for 4B). +- **Implement OOM recovery in orchestrator:** catch `torch.cuda.OutOfMemoryError`, clear cache, reduce `max_new_tokens` by 50%, retry once. + +### Pitfall 4: Gradio-Specific Limitations + +**Issue:** Gradio has constraints around JavaScript interop, WebSocket support, and custom CSS injection. + +**Defensive coding:** +- **Audio capture:** Use `gr.Audio(source="microphone")` as primary method. If JavaScript `MediaRecorder` interop is unreliable in Gradio 5.x, fall back to Gradio's native audio component (records complete audio, no streaming). +- **Custom CSS:** Inject via `gr.Blocks(css="frontend/assets/style.css")`. Test that CSS custom properties (`--clarke-blue`, etc.) apply correctly. +- **State management:** Use `gr.State` for consultation state. Test that state persists across event callbacks within a single session. +- **Inline editing:** Gradio doesn't natively support `contenteditable`. Use `gr.Textbox(interactive=True)` per section, or inject custom HTML with JavaScript for inline editing. Test editing works before committing to a pattern. + +### Pitfall 5: HAPI FHIR Server in Docker-in-Docker + +**Issue:** HF Spaces runs inside Docker. Running HAPI FHIR (another Docker container) inside that may not work. + +**Defensive coding:** +- **Default to mock FHIR API** (`USE_MOCK_FHIR=true`) for HF Spaces deployment. The mock API serves identical data. +- **If HAPI FHIR is used:** Run as a separate process (not Docker-in-Docker). Use HAPI FHIR's embedded mode (Java JAR) or the Python mock as primary. +- **Decision point:** If FHIR server isn't running by end of Hour 2, switch to mock immediately. + +### Pitfall 6: Audio Format Compatibility + +**Issue:** Browser `MediaRecorder` outputs WebM/Opus. MedASR expects 16kHz mono WAV. + +**Defensive coding:** +- **Always convert server-side** via `backend/audio.py` using pydub + ffmpeg. +- **Validate audio before passing to MedASR:** check sample rate = 16000, channels = 1, duration > 5s. +- **Handle empty/corrupted audio:** Return `ErrorResponse` with actionable message, not a raw exception. + +--- + +*This document is the engineering blueprint for Clarke. Every directory, schema, endpoint, model configuration, and error path is defined here with enough specificity for Codex to implement without ambiguity. When a value can be specified exactly, it is. All specifications are consistent with clarke_PRD_masterplan.md (goals, constraints, risks), clarke_PRD_implementation.md (build sequence), clarke_PRD_design_guidelines.md (visual tokens referenced by frontend), and clarke_PRD_userflow.md (every screen and interaction mapped to a backend call). Uncertain decisions are flagged with fallback paths.* diff --git a/clarke_PRD_userflow.md b/clarke_PRD_userflow.md new file mode 100644 index 0000000000000000000000000000000000000000..3863f4398b4ff23f9f06ac92e84d0ac5d87577f7 --- /dev/null +++ b/clarke_PRD_userflow.md @@ -0,0 +1,204 @@ +# Clarke — PRD User Flow + +**Version:** 1.0 | **Date:** 13 February 2026 | **Author:** Project Lead +**Status:** Final — user experience specification for all Clarke UI work +**Derives from:** clarke_PRD_masterplan.md, Clarke_Product_Specification_V2.md +**References:** clarke_PRD_design_guidelines.md (visual styling), clarke_PRD_implementation.md (build sequence) +**Scope:** What the user sees and does at every moment. Does NOT cover visual styling (see design guidelines), build sequence, backend API contracts, or granular coding tasks. + +--- + +## 1. Screen Inventory + +Clarke has six distinct screens. The user moves through them in a linear wizard flow (see §5). + +| # | Screen | Purpose | Displays | User Actions | +|---|--------|---------|----------|--------------| +| S1 | **Dashboard** | Entry point. Shows today's clinic list. | Clinic header (clinician name, specialty, date), list of patient cards with name, age/sex, time, one-line summary. | Click a patient card to select. | +| S2 | **Patient Context** | Pre-consultation briefing. Shows EHR data retrieved by MedGemma 4B. | Left panel: structured context (diagnoses, medications, allergies, recent labs with trends, recent imaging, flags). Centre panel: empty document area with prompt to start. | Review context. Click "Start Consultation." Click "Back to Dashboard" to return. | +| S3 | **Live Consultation** | Active recording. MedASR transcribes in real-time. | Recording indicator (pulse animation per design guidelines §4.5). Expandable live transcript panel. Patient context still visible on left. Timer showing elapsed recording time. | Pause/resume recording. Expand/collapse transcript. Click "End Consultation." | +| S4 | **Processing** | Pipeline executes: transcription finalisation → context synthesis → document generation. | Three-stage progress bar (per design guidelines §4.8) with stage labels. Elapsed timer. No user actions required — wait state. | None (wait). Cancel button returns to S2 with a confirmation dialog. | +| S5 | **Document Review** | Core screen. Clinician reviews, edits, and approves the generated letter. | Left panel: patient context (collapsed summary). Centre panel: generated NHS clinic letter in paper container (design guidelines §4.6). FHIR-sourced values highlighted in monospace. Discrepancy flags (if any) shown as inline alert badges. Status badge: "Ready for Review." | Inline edit any paragraph. Regenerate a section. View FHIR source for any cited value. Click "Sign Off & Export." Click "Regenerate Entire Letter." Click "Discard Draft" (destructive). | +| S6 | **Signed Off** | Confirmation. Document is approved. Export options available. | Document preview (read-only). Status badge: "Signed Off" (green). Export buttons: PDF, Copy to Clipboard, FHIR DocumentReference. "Next Patient" button. | Export via any method. Click "Next Patient" to return to S1 with next patient highlighted. | + +--- + +## 2. System States + +Clarke exists in one of eight states at any time. Each state maps to exactly one screen. + +| State | Screen | User Sees | Background Activity | Available Actions | Visual Indicator | +|-------|--------|-----------|--------------------|--------------------|------------------| +| **Idle** | S1 | Dashboard with clinic list. Hero gradient background (design guidelines §1). | None. | Select patient. | No status badge. Warm gradient background. | +| **Patient Selected** | S2 | Patient context loading → populated. | MedGemma 4B queries FHIR server (5–10s). | Start Consultation. Back to Dashboard. | Skeleton loaders during load (design guidelines §4.8) → populated cards on completion. | +| **Recording** | S3 | Recording pulse animation. Live transcript streaming. | MedASR processes audio chunks in real-time. | Pause, Resume, End Consultation. | Gold pulse + rotating ring (design guidelines §4.5). "Recording" status badge. | +| **Paused** | S3 | Pulse animation stops. "Paused" label replaces "Recording…" | Audio capture paused. Transcript preserved. | Resume, End Consultation. | Static gold circle (no pulse). "Paused" badge replaces "Recording" badge. | +| **Processing** | S4 | Three-stage progress bar filling sequentially. | MedASR finalises transcript → MedGemma 4B synthesises context → MedGemma 27B generates letter. ~15–30s total. | Cancel (with confirmation). | Progress bar + "Processing" badge (spinner, blue). Stage labels update. | +| **Review** | S5 | Generated letter in paper container. | None. | Edit, Regenerate section, Sign Off, Discard. | "Ready for Review" badge (amber, pencil icon). Gold left-border on editable sections. | +| **Editing** | S5 | Active paragraph highlighted with edit background (`#FEFDF5`). Cursor active. | None. | Type changes, click away to deselect. | Paragraph highlight + gold left border. | +| **Signed Off** | S6 | Read-only letter. Export buttons. | None. | Export, Next Patient. | "Signed Off" badge (green, checkmark). Document generation reveal animation (design guidelines §5). | + +--- + +## 3. Complete Happy-Path User Journey + +Each step below includes: screen, what the user sees, what they do, what happens, and approximate duration. + +**Step 1 — Open Clarke (S1, ~3s)** +User opens Clarke in their browser. The dashboard loads with the hero gradient (design guidelines §1). Their clinic list appears with scroll entrance animation (design guidelines §5). Five patient cards are listed. System is in Idle state. + +**Step 2 — Select Patient (S1 → S2, ~1s transition)** +User clicks Mrs. Thompson's patient card. Card hover shadow deepens (design guidelines §4.2). On click, ripple-shine fires (design guidelines §4.1). Panel transition animation (design guidelines §5) slides dashboard out left and patient context in from right. + +**Step 3 — Context Loads (S2, ~5–10s)** +Skeleton loaders appear in the patient context panel. MedGemma 4B queries FHIR. Skeletons resolve to structured data: diagnoses, medications, allergies (with ⚠ flag), recent labs (HbA1c 55 ↑, eGFR 52 ↓), and clinical flags. The centre panel shows an empty document area with the CTA: "Start Consultation." + +**Step 4 — Start Consultation (S2 → S3, ~1s)** +User clicks "Start Consultation" (primary button, ripple-shine). Browser requests microphone permission (see §6a). Recording indicator transitions from idle (64px, blue mic) to recording (80px, gold mic, pulse + ring animation). Timer begins at 00:00. State transitions to Recording. + +**Step 5 — Consultation Happens (S3, ~1–30min)** +The clinician talks to their patient. Live transcript text streams in the expandable transcript panel (minimised by default). Patient context remains visible on the left for reference. The recording pulse continues. The timer increments. + +**Step 6 — End Consultation (S3 → S4, ~1s)** +User clicks "End Consultation" (primary button). Recording stops. Recording indicator shrinks to 64px, becomes blue spinner. State transitions to Processing. + +**Step 7 — Pipeline Processes (S4, ~15–30s)** +Three-stage progress bar fills sequentially. Stage captions update: "Finalising transcript…" → "Synthesising patient context…" → "Generating clinical letter…" Each segment fills with `--clarke-blue` with pulse glow on the active segment. The user waits. + +**Step 8 — Letter Appears (S4 → S5, ~1s)** +Document generation reveal animation fires (design guidelines §5): gold sparkle flash on document card border, then paper container scales 0.97→1.0 with upward drift and opacity fade-in over 800ms. This is the "ta-da" moment. The NHS-format clinic letter is now visible. Status badge: "Ready for Review." + +**Step 9 — Review and Edit (S5, ~30–120s)** +User reads the letter. FHIR-sourced values (lab results, medication names) appear in monospace font with a subtle blue background tint, indicating they came from the record. User clicks a paragraph to edit inline — the paragraph highlights with gold left border and `#FEFDF5` background. User types their edit. Clicks away to confirm. + +**Step 10 — Sign Off (S5 → S6, ~2s)** +User clicks "Sign Off & Export" (primary button, ripple-shine). A brief confirmation toast appears: "Document approved." Status badge transitions to "Signed Off" (green, checkmark). Export buttons appear: PDF, Copy to Clipboard, FHIR DocumentReference. Document becomes read-only. + +**Step 11 — Export and Move On (S6 → S1, ~5s)** +User clicks an export button (e.g., "Copy to Clipboard"). Success toast: "Copied to clipboard." User clicks "Next Patient." Panel transition slides back to the dashboard with the next patient highlighted. + +**Total elapsed time for happy path: ~2–35 minutes** (dominated by the consultation itself; Clarke adds ~60–90 seconds of overhead). + +--- + +## 4. Demo Golden Path (3-Minute Video) + +This is the exact sequence shown in the competition video. Pre-loaded synthetic data: Mrs. Margaret Thompson, 67F, Type 2 Diabetes, in HAPI FHIR. Pre-recorded 60-second audio clip of a simulated clinician-patient consultation. + +| Timestamp | Screen | On Screen | Narration (voiceover) | Purpose | +|-----------|--------|-----------|----------------------|---------| +| 0:00–0:05 | — | Title card: Clarke logo on hero gradient. Tagline: "3 models. 1 pipeline. Zero data leaves." | *"This is Clarke."* | First impression. Hero gradient moment (design guidelines §8). | +| 0:05–0:15 | S1 | Dashboard. Five patient cards. Warm gradient. | *"NHS doctors spend four hours on admin for every hour with patients. Clarke changes that."* | Problem statement. Visual: polished dashboard. | +| 0:15–0:25 | S1→S2 | Click Mrs. Thompson → context loads via skeleton → structured data appears. | *"Select a patient. Clarke's EHR agent — MedGemma 4B — retrieves their full record from the hospital's FHIR server in seconds."* | Demonstrate Model 1 (MedGemma 4B). | +| 0:25–0:35 | S2→S3 | Click "Start Consultation." Recording pulse activates. | *"Start the consultation. Clarke listens using MedASR, a purpose-built medical speech recognition model."* | Demonstrate Model 2 (MedASR). Recording pulse moment (design guidelines §8). | +| 0:35–1:25 | S3 | Pre-recorded audio plays (~50s). Live transcript streams. Patient context visible. | *"The clinician has their normal conversation. Real-time transcription runs in the background. The patient context panel is always available for reference."* (then silence over audio clip) | Show ambient transcription + EHR context side by side. | +| 1:25–1:35 | S3→S4 | Click "End Consultation." Progress bar fills through three stages. | *"When the consultation ends, Clarke's three-model pipeline activates. Transcript and patient context are fused and sent to MedGemma 27B."* | Demonstrate Model 3 (MedGemma 27B). Pipeline stages visible. | +| 1:35–1:50 | S4→S5 | Gold sparkle → letter reveals. NHS-format clinic letter fills the screen. | *"In under 30 seconds, a complete NHS clinic letter — populated with actual lab values and the current medication list — is ready for review."* Pause narration briefly for the reveal. | Document reveal moment (design guidelines §8). The most important visual beat. | +| 1:50–2:25 | S5 | Scroll through letter. Point out: hyperlinked FHIR values, allergy preserved, assessment + plan from conversation. | *"Every investigation result is hyperlinked to its source record. The letter contains both what was discussed and what exists in the patient's record. No other ambient scribe does this."* | Demonstrate the fusion value — conversation + record context. | +| 2:25–2:45 | S5 | Click a paragraph → inline edit → type an addition → click Sign Off. Status badge turns green. Export buttons appear. | *"The clinician reviews, makes any edits, and signs off. The letter is ready — before the next patient walks in."* | Demonstrate clinician-in-the-loop workflow. | +| 2:45–3:00 | S6→Card | Closing card: "Clarke: 3 HAI-DEF models. 1 pipeline. Zero patient data leaves the building." Links: GitHub, HF Space, HF LoRA. | *"Clarke. Open-source. Privacy-preserving. Built for the NHS."* | Closing. Links for judges to click. | + +--- + +## 5. Navigation Structure + +**Pattern: Linear wizard with escape hatches.** + +Clarke uses a linear flow (S1 → S2 → S3 → S4 → S5 → S6 → S1) because the clinical workflow is inherently sequential: you pick a patient, consult, document, move on. A hub-and-spoke pattern would add cognitive overhead for a clinician mid-clinic. + +**Forward navigation:** Driven by primary action buttons ("Start Consultation," "End Consultation," "Sign Off & Export," "Next Patient"). Each button advances to the next screen. + +**Backward navigation:** +- S2 → S1: "Back to Dashboard" secondary button. No data loss. +- S3 → S2: "End Consultation" + discard. Confirmation dialog: "End recording without generating a letter? The recording will be lost." Two options: "End & Discard" (destructive), "Continue Recording" (secondary). +- S5 → S2: "Discard Draft" destructive button. Confirmation dialog: "Discard this draft and start over?" Two options: "Discard" (destructive), "Keep Editing" (secondary). +- S4 → S2: "Cancel" during processing. Confirmation dialog: "Cancel document generation? You can re-record the consultation." + +**Abandoning a consultation:** At any point from S2–S5, the sidebar "Dashboard" link is available. Clicking it during an active consultation triggers the appropriate confirmation dialog. No silent data loss. + +**No deep linking.** Clarke does not support URL-based navigation to specific screens. The state is held in `gr.State` (Gradio) and resets on page refresh. + +--- + +## 6. Error States and Edge Cases + +Each error follows the design guidelines' emotional principle: "Help Has Arrived" — errors are reassuring, not alarming. Error cards use standard card styling with `--clarke-red-light` background tint and `--clarke-red` left border. + +| # | Scenario | User Sees | Recovery | +|---|----------|-----------|----------| +| a | **Microphone permission denied / mic not detected** | Inline alert card on S2 (below "Start Consultation" button): "Clarke needs microphone access to record the consultation. Please allow microphone access in your browser settings." Icon: mic-off (Lucide). Button: "Try Again" (re-requests permission). | Retry, or use pre-recorded audio upload fallback (secondary button: "Upload Audio File"). | +| b | **Recording fails / audio quality too poor** | On S4, if MedASR returns empty or near-empty transcript: alert card replaces progress bar: "The audio could not be transcribed. This may be due to background noise or microphone issues." | Two buttons: "Re-record Consultation" (returns to S3), "Upload Audio File." | +| c | **Patient not found in FHIR** | On S2, if FHIR query returns no results: context panel shows empty state card: "No records found for this patient in the EHR system. You can still record a consultation — Clarke will generate a letter from the conversation alone (without EHR context)." | "Start Consultation" remains available. Clarke operates in documentation-only mode. | +| d | **MedGemma 4B returns incomplete context** | On S2, partial context loads with a warning badge at the top: "Some patient records could not be retrieved. Available data is shown below." Missing sections show "Not available" in `--clarke-text-disabled`. | Proceed normally. Document generation uses whatever context was retrieved. | +| e | **MedGemma 27B generates flagged inconsistencies** | On S5, inline discrepancy badges appear within the letter. E.g., a red alert badge next to a sentence: "⚠ Conversation says 'no allergies' but record shows Penicillin allergy." Badge uses `--clarke-red` text on `--clarke-red-light` background. | Clinician reviews and edits the relevant section before signing off. Discrepancy badges must be resolved (edited or dismissed) before "Sign Off" is clickable. | +| f | **Network / model timeout during processing** | On S4, progress bar stalls. After 90 seconds, an alert card replaces the progress bar: "Document generation is taking longer than expected. This may be due to server load." | Two buttons: "Retry" (re-triggers pipeline), "Return to Dashboard." | +| g | **User wants to restart from scratch** | Available on S3 and S5 via destructive actions (see §5 backward navigation). Confirmation dialogs prevent accidental loss. | Confirmation → return to S2 with patient context preserved. | + +--- + +## 7. Loading and Waiting States + +| Wait Point | Screen | Duration | User Sees | User Can Act? | +|------------|--------|----------|-----------|---------------| +| **FHIR context retrieval** | S2 | 5–10s | Skeleton loaders matching context panel layout (design guidelines §4.8). Shimmer animation (1.5s cycle). | No. Wait for context. Can click "Back to Dashboard" to abort. | +| **Pipeline processing** | S4 | 15–30s | Three-segment progress bar. Each segment fills as its stage completes. Caption updates: "Finalising transcript…" → "Synthesising patient context…" → "Generating clinical letter…" Active segment pulses with `--clarke-blue` glow. | No active actions. Cancel button available. | +| **Section regeneration** | S5 | 5–10s | The regenerating section shows a skeleton loader in place of the text. Rest of letter remains visible and readable. | Yes — can continue reading/editing other sections while one regenerates. | + +--- + +## 8. Document Review and Editing Interaction + +**Document presentation:** The generated letter renders in a paper container (design guidelines §4.6) — max-width 720px, centred, inset shadow. The letter uses NHS clinic letter structure: date, addressee, patient demographics, Re: line, salutation, body sections (HPC, examination, investigations, assessment, plan, medications), sign-off. + +**Visual distinction of data sources:** +- **FHIR-sourced values** (lab results, medication names, allergy entries): rendered in monospace font (`JetBrains Mono`, design guidelines §2) with a subtle blue-tinted background (`rgba(43, 94, 167, 0.06)`). On hover, a tooltip shows: "Source: FHIR [Resource Type] / [Date]". +- **AI-generated prose** (narrative text from MedGemma 27B): standard body font. No special marking. +- **Discrepancy flags**: inline `--clarke-red` alert badges (see §6e). + +**Editing model: inline editing.** +- Click any paragraph → it becomes editable (contenteditable). Background changes to `#FEFDF5`. Gold left border (3px) appears. +- Type freely. Standard text editing (select, delete, type). +- Click outside the paragraph to save. No explicit save button — changes are immediate. +- "Regenerate" button appears on hover at the right edge of each section header. Clicking it replaces the section content via MedGemma 27B re-generation (see §7 for loading state). + +**Sign-off flow:** +1. User clicks "Sign Off & Export." +2. If unresolved discrepancy flags exist → a blocking dialog: "Please review the flagged discrepancies before signing off." Button: "Review Flags" (scrolls to first flag). +3. If no flags → document status transitions to Signed Off. Export buttons appear. Document becomes read-only. + +--- + +## 9. Interaction Micro-Details + +| Interaction | Click Target | Immediate Feedback | Next Event | +|-------------|-------------|-------------------|------------| +| **Select patient** (S1) | Patient card | Card shadow deepens + translateY(-2px) on hover. Ripple-shine on click (200ms). | Panel transition to S2 (~300ms). FHIR retrieval begins. | +| **Start Consultation** (S2) | Primary button | Ripple-shine (600ms). Button text changes to "Starting…" briefly. | Recording indicator transitions to active state (64px→80px, pulse begins). Screen transitions to S3. | +| **Pause Recording** (S3) | Pause icon button (44×44px, secondary style) | Pulse animation stops. Icon toggles to play. "Paused" label fades in (200ms). | Audio capture pauses. Timer stops. | +| **Resume Recording** (S3) | Play icon button | Pulse animation resumes. Icon toggles to pause. "Recording…" label fades in. | Audio capture resumes. Timer resumes. | +| **End Consultation** (S3) | Primary button "End Consultation" | Ripple-shine. Recording indicator shrinks (80px→64px, 300ms). Pulse stops. | Transition to S4. Pipeline begins. | +| **Inline edit** (S5) | Any paragraph in the letter | Paragraph background changes to `#FEFDF5`. Gold left border appears (150ms fade-in). Text cursor activates. | User types. Changes saved on click-away. | +| **Regenerate section** (S5) | "Regenerate" icon button (on hover of section header) | Section text replaced by skeleton loader. | MedGemma 27B re-generates section (~5–10s). New text fades in. | +| **Sign Off** (S5) | Primary button "Sign Off & Export" | Ripple-shine. Success toast: "Document approved" (slides down from top, 3s auto-dismiss). Status badge transitions green. | Export buttons appear (fade-in, 300ms). Document becomes read-only. | +| **Export PDF** (S6) | Secondary button "PDF" | Button shows spinner briefly. | PDF generated and downloaded via browser. | +| **Next Patient** (S6) | Primary button | Ripple-shine. | Panel transition back to S1. Next patient in list is highlighted. | + +--- + +## 10. Accessibility Considerations + +**Touch targets:** Minimum 44×44px for all interactive elements (per WCAG 2.1 AA and design guidelines §3). Buttons, patient cards, sidebar links, and the recording indicator all meet this minimum. + +**Keyboard navigation:** All screens are navigable via Tab (forward) and Shift+Tab (backward). Focus indicators: 3px `--clarke-blue` outline with 2px offset. Enter/Space activates buttons. Escape closes dialogs and exits inline editing. + +**Screen readers:** All interactive elements have `aria-label` attributes. Status badges have `role="status"` with `aria-live="polite"` to announce state changes. The recording indicator announces "Recording started" / "Recording paused" / "Recording stopped" via `aria-live`. Progress bar has `role="progressbar"` with `aria-valuenow`. + +**Clinical environment considerations:** +- **Gloves:** All targets ≥44px. No precision gestures (no drag-and-drop, no small toggles). +- **Shared workstation:** No persistent login state beyond the browser session. Clarke does not store credentials or patient data locally. +- **Noisy ward:** The UI does not rely on audio feedback. All state changes are communicated visually and via screen reader announcements. +- **Arm's length readability:** Minimum text size 13px (label). All body text ≥16px (design guidelines §2). Key status indicators use colour + icon + text (never colour alone). + +--- + +*This document defines every screen, state, transition, and interaction in Clarke. Implementation details (how to build it) are in clarke_PRD_implementation.md and clarke_PRD_technical_spec.md. Visual styling (what it looks like) is in clarke_PRD_design_guidelines.md. Every interaction described here must trace to those specifications.* diff --git a/data/.DS_Store b/data/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..1f3e1c748ea243b9ff9988eedc10670267ff487d Binary files /dev/null and b/data/.DS_Store differ diff --git a/data/clinic_list.json b/data/clinic_list.json new file mode 100644 index 0000000000000000000000000000000000000000..fc9fe62cd2a1830ff81f55335082a18537ff7cd5 --- /dev/null +++ b/data/clinic_list.json @@ -0,0 +1,50 @@ +{ + "clinician": { + "name": "Dr. Sarah Chen", + "specialty": "General Practice", + "title": "Consultant Diabetologist" + }, + "date": "13 February 2026", + "patients": [ + { + "id": "pt-001", + "name": "Mrs. Margaret Thompson", + "age": 67, + "sex": "Female", + "time": "14:00", + "summary": "Follow-up \u2014 Type 2 Diabetes, rising HbA1c" + }, + { + "id": "pt-002", + "name": "Mr. Emeka Okafor", + "age": 54, + "sex": "Male", + "time": "14:20", + "summary": "Follow-up \u2014 Chest pain, post-angiography" + }, + { + "id": "pt-003", + "name": "Ms. Priya Patel", + "age": 28, + "sex": "Female", + "time": "14:40", + "summary": "Review \u2014 Asthma, poor symptom control" + }, + { + "id": "pt-004", + "name": "Mr. David Williams", + "age": 72, + "sex": "Male", + "time": "15:00", + "summary": "Review \u2014 Heart failure, recent decompensation" + }, + { + "id": "pt-005", + "name": "Mrs. Fatima Khan", + "age": 45, + "sex": "Female", + "time": "15:20", + "summary": "Follow-up \u2014 Depression, medication review" + } + ] +} diff --git a/data/demo/baseline_letters/pt-001_baseline.txt b/data/demo/baseline_letters/pt-001_baseline.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb757de3e7716ec16b6458d40022f5547f87d311 --- /dev/null +++ b/data/demo/baseline_letters/pt-001_baseline.txt @@ -0,0 +1,14 @@ +History Of Presenting Complaint +Mrs Thompson reported worsening fatigue and reduced exercise tolerance over the last three months. She confirmed she is taking metformin and gliclazide but occasionally misses evening doses. + +Examination Findings +No acute distress was described during the consultation. She denied chest pain, syncope, or focal neurological symptoms. + +Investigation Results +Recent blood results showed HbA1c 55 mmol/mol with eGFR 52 mL/min/1.73m². Penicillin allergy with previous anaphylaxis was reconfirmed. + +Assessment And Plan +Overall picture is suboptimal glycaemic control with associated fatigue. Plan is lifestyle reinforcement, medicine adherence review, repeat renal profile in 3 months, and consideration of treatment escalation if HbA1c remains above target. + +Current Medications +Metformin 1 g twice daily; Gliclazide 80 mg twice daily. diff --git a/data/demo/baseline_letters/pt-002_baseline.txt b/data/demo/baseline_letters/pt-002_baseline.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb757de3e7716ec16b6458d40022f5547f87d311 --- /dev/null +++ b/data/demo/baseline_letters/pt-002_baseline.txt @@ -0,0 +1,14 @@ +History Of Presenting Complaint +Mrs Thompson reported worsening fatigue and reduced exercise tolerance over the last three months. She confirmed she is taking metformin and gliclazide but occasionally misses evening doses. + +Examination Findings +No acute distress was described during the consultation. She denied chest pain, syncope, or focal neurological symptoms. + +Investigation Results +Recent blood results showed HbA1c 55 mmol/mol with eGFR 52 mL/min/1.73m². Penicillin allergy with previous anaphylaxis was reconfirmed. + +Assessment And Plan +Overall picture is suboptimal glycaemic control with associated fatigue. Plan is lifestyle reinforcement, medicine adherence review, repeat renal profile in 3 months, and consideration of treatment escalation if HbA1c remains above target. + +Current Medications +Metformin 1 g twice daily; Gliclazide 80 mg twice daily. diff --git a/data/demo/baseline_letters/pt-003_baseline.txt b/data/demo/baseline_letters/pt-003_baseline.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb757de3e7716ec16b6458d40022f5547f87d311 --- /dev/null +++ b/data/demo/baseline_letters/pt-003_baseline.txt @@ -0,0 +1,14 @@ +History Of Presenting Complaint +Mrs Thompson reported worsening fatigue and reduced exercise tolerance over the last three months. She confirmed she is taking metformin and gliclazide but occasionally misses evening doses. + +Examination Findings +No acute distress was described during the consultation. She denied chest pain, syncope, or focal neurological symptoms. + +Investigation Results +Recent blood results showed HbA1c 55 mmol/mol with eGFR 52 mL/min/1.73m². Penicillin allergy with previous anaphylaxis was reconfirmed. + +Assessment And Plan +Overall picture is suboptimal glycaemic control with associated fatigue. Plan is lifestyle reinforcement, medicine adherence review, repeat renal profile in 3 months, and consideration of treatment escalation if HbA1c remains above target. + +Current Medications +Metformin 1 g twice daily; Gliclazide 80 mg twice daily. diff --git a/data/demo/mr_okafor.aiff b/data/demo/mr_okafor.aiff new file mode 100644 index 0000000000000000000000000000000000000000..c5eecad0b915ed803341f72f4d39c2ab6a65f1c3 --- /dev/null +++ b/data/demo/mr_okafor.aiff @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:634005328f52376426b8f2bf4e286966845a5cf5128677cf59ce564e598bc543 +size 3528446 diff --git a/data/demo/mr_okafor.wav b/data/demo/mr_okafor.wav new file mode 100644 index 0000000000000000000000000000000000000000..90d57dc6932aebb012e5978b8e4de479373bab6d --- /dev/null +++ b/data/demo/mr_okafor.wav @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:70e69202687bc30bbc0efdf12203048ac30bf4ed632e043c28c520c43c5032dd +size 2080044 diff --git a/data/demo/mr_okafor_transcript.txt b/data/demo/mr_okafor_transcript.txt new file mode 100644 index 0000000000000000000000000000000000000000..eab08478e521b314e4fde255476d73afd5fca581 --- /dev/null +++ b/data/demo/mr_okafor_transcript.txt @@ -0,0 +1 @@ +Hello Mr Okafor, thank you for coming in for your chest pain follow-up appointment. I know the recent symptoms have been worrying, so I want to go through the angiogram results carefully. The good news is that your angiogram showed normal coronaries, with no significant blockages, and your hospital blood tests including troponin were negative. That means there is no evidence of a heart attack from this episode, which should be reassuring. We discussed how chest discomfort can still occur from non-cardiac causes, including chest wall strain, reflux, and stress, and we agreed to keep monitoring symptoms. Your blood pressure today remains a little high, and we reviewed blood pressure management in detail, including reducing salt, improving sleep, maintaining regular exercise, and checking readings at home. You should continue aspirin seventy-five milligrams and atorvastatin forty milligrams as prescribed while we optimise cardiovascular risk factors. We also covered lifestyle advice balanced diet, gradual weight control, limiting alcohol, and stopping smoking if relevant. If pain becomes severe, prolonged, or associated with breathlessness or sweating, seek urgent care immediately. Otherwise, we will review your blood pressure trend and symptoms at your next routine follow-up in eight weeks. diff --git a/data/demo/mrs_thompson.aiff b/data/demo/mrs_thompson.aiff new file mode 100644 index 0000000000000000000000000000000000000000..2ea2b58e40e1a8ed8135016747ac7d5a93e8de68 --- /dev/null +++ b/data/demo/mrs_thompson.aiff @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5b47fe53ef5eb2bbed3e343cf01ead82c149aa34e63f34c2f0738ce3fcfd7a01 +size 3077226 diff --git a/data/demo/mrs_thompson.wav b/data/demo/mrs_thompson.wav new file mode 100644 index 0000000000000000000000000000000000000000..90d57dc6932aebb012e5978b8e4de479373bab6d --- /dev/null +++ b/data/demo/mrs_thompson.wav @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:70e69202687bc30bbc0efdf12203048ac30bf4ed632e043c28c520c43c5032dd +size 2080044 diff --git a/data/demo/mrs_thompson_transcript.txt b/data/demo/mrs_thompson_transcript.txt new file mode 100644 index 0000000000000000000000000000000000000000..d12f52060fcdd22865b4a2cb3397c080d01be3fb --- /dev/null +++ b/data/demo/mrs_thompson_transcript.txt @@ -0,0 +1 @@ +Good morning Mrs Thompson, it is nice to see you again for your diabetes review. I have looked through your recent blood results and I want to talk them through clearly. Your HbA1c has risen to 55 millimoles per mole from 48 at your last check, so your glucose control has drifted up over the past few months. You also mentioned feeling more fatigue in the afternoons and increased thirst, which can happen when blood sugars are running high. We discussed your current tablets, and you confirmed you are taking metformin one gram twice daily with meals and gliclazide forty milligrams once daily in the morning. We agreed to increase the gliclazide to eighty milligrams to help bring your HbA1c back down. I also want to check your kidney function as your eGFR was fifty-two last time, so we will repeat that with your next blood test in three months. Please continue all your other medications as before and keep up the good work with your walking. If you notice any episodes of feeling shaky, sweaty or faint, that could be a sign of low blood sugar and you should eat something sugary straight away and contact us. We will review everything again in three months when we have the new blood results back. diff --git a/data/demo/ms_patel.aiff b/data/demo/ms_patel.aiff new file mode 100644 index 0000000000000000000000000000000000000000..76eee1d25c7999292f79cf08806f9368fa6d8147 --- /dev/null +++ b/data/demo/ms_patel.aiff @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f7eae07a518979d38a34145d7f7b38cf65eb8eef7c702c4fbe78e78527b4dbc8 +size 3226218 diff --git a/data/demo/ms_patel.wav b/data/demo/ms_patel.wav new file mode 100644 index 0000000000000000000000000000000000000000..90d57dc6932aebb012e5978b8e4de479373bab6d --- /dev/null +++ b/data/demo/ms_patel.wav @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:70e69202687bc30bbc0efdf12203048ac30bf4ed632e043c28c520c43c5032dd +size 2080044 diff --git a/data/demo/ms_patel_transcript.txt b/data/demo/ms_patel_transcript.txt new file mode 100644 index 0000000000000000000000000000000000000000..a90e170f79c8ef4ea372c44053dbc49f56feed55 --- /dev/null +++ b/data/demo/ms_patel_transcript.txt @@ -0,0 +1 @@ +Good afternoon Ms Patel, thank you for coming in for your asthma review today. I can see from your records that you have been using your salbutamol reliever inhaler quite frequently, about four to five times per week, which suggests your asthma is not as well controlled as we would like. Your peak flow today is three hundred and twenty litres per minute, which is about eighty percent of your predicted best, so there is room for improvement. We talked about your inhaler technique and I watched you use your inhaler, and I noticed you were not holding your breath long enough after inhaling, which means some of the medication is not reaching your lungs properly. I have demonstrated the correct technique and I would like you to practise this at home. We also discussed starting a regular preventer inhaler, beclometasone two hundred micrograms twice daily, which will reduce the inflammation in your airways and should mean you need your salbutamol less often. It is important to use the preventer every day even when you feel well. I would also like you to keep a peak flow diary for the next four weeks and bring it to your next appointment. Please come back if your symptoms worsen or if you are using salbutamol more than three times a week despite the preventer. We will review again in six weeks to see how you are getting on. diff --git a/data/fhir_bundles/pt-001.json b/data/fhir_bundles/pt-001.json new file mode 100644 index 0000000000000000000000000000000000000000..ab553d7c5888785e00cbde37329c0dbaa92d0cf8 --- /dev/null +++ b/data/fhir_bundles/pt-001.json @@ -0,0 +1,326 @@ +{ + "resourceType": "Bundle", + "type": "collection", + "entry": [ + { + "resource": { + "resourceType": "Patient", + "id": "pt-001", + "identifier": [ + { + "system": "https://fhir.nhs.uk/Id/nhs-number", + "value": "9434762185" + } + ], + "name": [ + { + "use": "official", + "prefix": [ + "Mrs" + ], + "given": [ + "Margaret" + ], + "family": "Thompson" + } + ], + "gender": "female", + "birthDate": "1958-03-15", + "generalPractitioner": [ + { + "display": "Dr Helen Carter" + } + ] + } + }, + { + "resource": { + "resourceType": "Condition", + "id": "cond-pt001-1", + "subject": { + "reference": "Patient/pt-001" + }, + "clinicalStatus": { + "coding": [ + { + "code": "active" + } + ] + }, + "code": { + "text": "Type 2 Diabetes Mellitus (E11.9)" + } + } + }, + { + "resource": { + "resourceType": "Condition", + "id": "cond-pt001-2", + "subject": { + "reference": "Patient/pt-001" + }, + "clinicalStatus": { + "coding": [ + { + "code": "active" + } + ] + }, + "code": { + "text": "Essential Hypertension (I10)" + } + } + }, + { + "resource": { + "resourceType": "AllergyIntolerance", + "id": "allergy-pt001-1", + "patient": { + "reference": "Patient/pt-001" + }, + "code": { + "text": "Penicillin" + }, + "criticality": "high", + "reaction": [ + { + "manifestation": [ + { + "text": "Anaphylaxis" + } + ] + } + ] + } + }, + { + "resource": { + "resourceType": "DiagnosticReport", + "id": "report-pt001-1", + "subject": { + "reference": "Patient/pt-001" + }, + "effectiveDateTime": "2026-01-26", + "conclusion": "Diabetes blood panel reviewed" + } + }, + { + "resource": { + "resourceType": "Encounter", + "id": "enc-pt001-1", + "subject": { + "reference": "Patient/pt-001" + }, + "period": { + "start": "2026-01-26" + }, + "status": "finished" + } + }, + { + "fullUrl": "urn:uuid:med-pt001-1", + "resource": { + "resourceType": "MedicationRequest", + "id": "med-pt001-1", + "status": "active", + "intent": "order", + "subject": { + "reference": "Patient/pt-001" + }, + "medicationCodeableConcept": { + "text": "Metformin" + }, + "dosageInstruction": [ + { + "text": "1g BD" + } + ] + } + }, + { + "fullUrl": "urn:uuid:med-pt001-2", + "resource": { + "resourceType": "MedicationRequest", + "id": "med-pt001-2", + "status": "active", + "intent": "order", + "subject": { + "reference": "Patient/pt-001" + }, + "medicationCodeableConcept": { + "text": "Lisinopril" + }, + "dosageInstruction": [ + { + "text": "10mg OD" + } + ] + } + }, + { + "fullUrl": "urn:uuid:med-pt001-3", + "resource": { + "resourceType": "MedicationRequest", + "id": "med-pt001-3", + "status": "active", + "intent": "order", + "subject": { + "reference": "Patient/pt-001" + }, + "medicationCodeableConcept": { + "text": "Atorvastatin" + }, + "dosageInstruction": [ + { + "text": "20mg ON" + } + ] + } + }, + { + "fullUrl": "urn:uuid:obs-pt001-hba1c-latest", + "resource": { + "resourceType": "Observation", + "id": "obs-pt001-hba1c-latest", + "status": "final", + "category": [ + { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/observation-category", + "code": "laboratory" + } + ] + } + ], + "code": { + "text": "HbA1c" + }, + "subject": { + "reference": "Patient/pt-001" + }, + "effectiveDateTime": "2026-02-01T09:00:00Z", + "valueQuantity": { + "value": 8.2, + "unit": "%" + } + } + }, + { + "fullUrl": "urn:uuid:obs-pt001-hba1c-prev", + "resource": { + "resourceType": "Observation", + "id": "obs-pt001-hba1c-prev", + "status": "final", + "category": [ + { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/observation-category", + "code": "laboratory" + } + ] + } + ], + "code": { + "text": "HbA1c" + }, + "subject": { + "reference": "Patient/pt-001" + }, + "effectiveDateTime": "2025-11-01T09:00:00Z", + "valueQuantity": { + "value": 7.8, + "unit": "%" + } + } + }, + { + "fullUrl": "urn:uuid:obs-pt001-egfr-latest", + "resource": { + "resourceType": "Observation", + "id": "obs-pt001-egfr-latest", + "status": "final", + "category": [ + { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/observation-category", + "code": "laboratory" + } + ] + } + ], + "code": { + "text": "eGFR" + }, + "subject": { + "reference": "Patient/pt-001" + }, + "effectiveDateTime": "2026-02-01T09:00:00Z", + "valueQuantity": { + "value": 68, + "unit": "mL/min" + } + } + }, + { + "fullUrl": "urn:uuid:obs-pt001-egfr-prev", + "resource": { + "resourceType": "Observation", + "id": "obs-pt001-egfr-prev", + "status": "final", + "category": [ + { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/observation-category", + "code": "laboratory" + } + ] + } + ], + "code": { + "text": "eGFR" + }, + "subject": { + "reference": "Patient/pt-001" + }, + "effectiveDateTime": "2025-11-01T09:00:00Z", + "valueQuantity": { + "value": 72, + "unit": "mL/min" + } + } + }, + { + "fullUrl": "urn:uuid:obs-pt001-creatinine", + "resource": { + "resourceType": "Observation", + "id": "obs-pt001-creatinine", + "status": "final", + "category": [ + { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/observation-category", + "code": "laboratory" + } + ] + } + ], + "code": { + "text": "Creatinine" + }, + "subject": { + "reference": "Patient/pt-001" + }, + "effectiveDateTime": "2026-02-01T09:00:00Z", + "valueQuantity": { + "value": 98, + "unit": "\u00b5mol/L" + } + } + } + ] +} diff --git a/data/fhir_bundles/pt-002.json b/data/fhir_bundles/pt-002.json new file mode 100644 index 0000000000000000000000000000000000000000..6e291d4a05d5bddcbba9355305093750885fd3e4 --- /dev/null +++ b/data/fhir_bundles/pt-002.json @@ -0,0 +1,360 @@ +{ + "resourceType": "Bundle", + "id": "bundle-pt-002", + "type": "collection", + "entry": [ + { + "resource": { + "resourceType": "Patient", + "id": "pt-002", + "identifier": [ + { + "system": "https://fhir.nhs.uk/Id/nhs-number", + "value": "4015927384" + } + ], + "name": [ + { + "use": "official", + "prefix": [ + "Mr" + ], + "given": [ + "Emeka" + ], + "family": "Okafor" + } + ], + "gender": "male", + "birthDate": "1971-11-22", + "address": [ + { + "line": [ + "8 Maple Court" + ], + "city": "London", + "postalCode": "SE1 4AB", + "country": "GB" + } + ], + "generalPractitioner": [ + { + "display": "Dr. A. Green, City Health Practice" + } + ] + } + }, + { + "resource": { + "resourceType": "Condition", + "id": "cond-angina-002", + "clinicalStatus": { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/condition-clinical", + "code": "active" + } + ] + }, + "code": { + "coding": [ + { + "system": "http://snomed.info/sct", + "code": "194828000", + "display": "Angina pectoris" + } + ], + "text": "Angina pectoris" + }, + "subject": { + "reference": "Patient/pt-002" + }, + "onsetDateTime": "2025-11-02" + } + }, + { + "resource": { + "resourceType": "Condition", + "id": "cond-hypertension-002", + "clinicalStatus": { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/condition-clinical", + "code": "active" + } + ] + }, + "code": { + "coding": [ + { + "system": "http://snomed.info/sct", + "code": "38341003", + "display": "Hypertensive disorder" + } + ], + "text": "Hypertensive disorder" + }, + "subject": { + "reference": "Patient/pt-002" + }, + "onsetDateTime": "2021-08-14" + } + }, + { + "resource": { + "resourceType": "MedicationRequest", + "id": "med-aspirin-002", + "status": "active", + "intent": "order", + "medicationCodeableConcept": { + "text": "Aspirin" + }, + "subject": { + "reference": "Patient/pt-002" + }, + "dosageInstruction": [ + { + "text": "75 mg once daily" + } + ] + } + }, + { + "resource": { + "resourceType": "MedicationRequest", + "id": "med-atorvastatin-002", + "status": "active", + "intent": "order", + "medicationCodeableConcept": { + "text": "Atorvastatin" + }, + "subject": { + "reference": "Patient/pt-002" + }, + "dosageInstruction": [ + { + "text": "40 mg at night" + } + ] + } + }, + { + "resource": { + "resourceType": "Observation", + "id": "obs-trop-002", + "status": "final", + "category": [ + { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/observation-category", + "code": "laboratory" + } + ] + } + ], + "code": { + "coding": [ + { + "system": "http://loinc.org", + "code": "6598-7", + "display": "Troponin I.cardiac [Mass/volume] in Serum or Plasma" + } + ], + "text": "Troponin I" + }, + "subject": { + "reference": "Patient/pt-002" + }, + "effectiveDateTime": "2026-01-20", + "valueQuantity": { + "value": 8, + "unit": "ng/L", + "system": "http://unitsofmeasure.org", + "code": "ng/L" + }, + "referenceRange": [ + { + "low": { + "value": 0, + "unit": "ng/L" + }, + "high": { + "value": 14, + "unit": "ng/L" + }, + "text": "0-14 ng/L" + } + ] + } + }, + { + "resource": { + "resourceType": "Observation", + "id": "obs-sbp-002", + "status": "final", + "category": [ + { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/observation-category", + "code": "laboratory" + } + ] + } + ], + "code": { + "coding": [ + { + "system": "http://loinc.org", + "code": "8480-6", + "display": "Systolic blood pressure" + } + ], + "text": "Systolic BP" + }, + "subject": { + "reference": "Patient/pt-002" + }, + "effectiveDateTime": "2026-01-20", + "valueQuantity": { + "value": 148, + "unit": "mm[Hg]", + "system": "http://unitsofmeasure.org", + "code": "mm[Hg]" + }, + "referenceRange": [ + { + "low": { + "value": 90, + "unit": "mm[Hg]" + }, + "high": { + "value": 140, + "unit": "mm[Hg]" + }, + "text": "90-140 mm[Hg]" + } + ] + } + }, + { + "resource": { + "resourceType": "Observation", + "id": "obs-dbp-002", + "status": "final", + "category": [ + { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/observation-category", + "code": "laboratory" + } + ] + } + ], + "code": { + "coding": [ + { + "system": "http://loinc.org", + "code": "8462-4", + "display": "Diastolic blood pressure" + } + ], + "text": "Diastolic BP" + }, + "subject": { + "reference": "Patient/pt-002" + }, + "effectiveDateTime": "2026-01-20", + "valueQuantity": { + "value": 92, + "unit": "mm[Hg]", + "system": "http://unitsofmeasure.org", + "code": "mm[Hg]" + }, + "referenceRange": [ + { + "low": { + "value": 60, + "unit": "mm[Hg]" + }, + "high": { + "value": 90, + "unit": "mm[Hg]" + }, + "text": "60-90 mm[Hg]" + } + ] + } + }, + { + "resource": { + "resourceType": "AllergyIntolerance", + "id": "allergy-002", + "clinicalStatus": { + "coding": [ + { + "system": "http://terminology.hl7.org/CodeSystem/allergyintolerance-clinical", + "code": "active" + } + ] + }, + "type": "allergy", + "category": [ + "medication" + ], + "criticality": "low", + "code": { + "coding": [ + { + "system": "http://snomed.info/sct", + "code": "91936005", + "display": "Ibuprofen" + } + ], + "text": "Ibuprofen" + }, + "patient": { + "reference": "Patient/pt-002" + }, + "reaction": [ + { + "manifestation": [ + { + "coding": [ + { + "display": "Rash" + } + ] + } + ], + "severity": "moderate" + } + ] + } + }, + { + "resource": { + "resourceType": "DiagnosticReport", + "id": "dr-angio-002", + "status": "final", + "code": { + "coding": [ + { + "system": "http://loinc.org", + "code": "18748-4", + "display": "Coronary angiography report" + } + ], + "text": "Coronary angiography report" + }, 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"Consultation note" + }, + "subject": { + "reference": "Patient/pt-005" + }, + "effectiveDateTime": "2026-01-19", + "conclusion": "Mood improved slightly since last review; persistent anhedonia." + } + } + ] +} \ No newline at end of file diff --git a/data/training/test.jsonl b/data/training/test.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f467588a83d651a0d20257335370662954b6fe6d --- /dev/null +++ b/data/training/test.jsonl @@ -0,0 +1,50 @@ +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 90.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0201", "demographics": {"name": "Patient 201", "dob": "1973-02-27", "nhs_number": "397 143 5712", "age": 53, "sex": "Male", "address": "20 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0201"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "90.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-18", "trend": "falling", "previous_value": "95.8", "previous_date": "2025-11-04", "fhir_resource_id": "obs-0201"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 201 (1973-02-27), NHS 397 143 5712\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 90.9 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 23.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0202", "demographics": {"name": "Patient 202", "dob": "1951-03-05", "nhs_number": "377 675 5450", "age": 75, "sex": "Male", "address": "27 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0202"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "23.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-03", "trend": "falling", "previous_value": "29.1", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0202"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 202 (1951-03-05), NHS 377 675 5450\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 23.9 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 62.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0203", "demographics": {"name": "Patient 203", "dob": "1995-02-22", "nhs_number": "523 438 8739", "age": 31, "sex": "Female", "address": "22 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0203"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "62.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "rising", "previous_value": "55.0", "previous_date": "2025-12-30", "fhir_resource_id": "obs-0203"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 203 (1995-02-22), NHS 523 438 8739\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 62.2 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 47.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0204", "demographics": {"name": "Patient 204", "dob": "1972-02-28", "nhs_number": "394 428 5676", "age": 54, "sex": "Male", "address": "92 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0204"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "47.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-06", "trend": "rising", "previous_value": "42.9", "previous_date": "2025-12-19", "fhir_resource_id": "obs-0204"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 204 (1972-02-28), NHS 394 428 5676\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 47.7 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 87.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0205", "demographics": {"name": "Patient 205", "dob": "1964-03-01", "nhs_number": "957 280 1595", "age": 62, "sex": "Female", "address": "60 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0205"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "87.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "rising", "previous_value": "81.9", "previous_date": "2025-12-07", "fhir_resource_id": "obs-0205"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 205 (1964-03-01), NHS 957 280 1595\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 87.1 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 31.5 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0206", "demographics": {"name": "Patient 206", "dob": "1996-02-22", "nhs_number": "443 391 8444", "age": 30, "sex": "Female", "address": "92 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0206"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "31.5", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "33.1", "previous_date": "2025-10-24", "fhir_resource_id": "obs-0206"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 206 (1996-02-22), NHS 443 391 8444\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 31.5 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 29.2 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0207", "demographics": {"name": "Patient 207", "dob": "1990-02-23", "nhs_number": "438 266 8518", "age": 36, "sex": "Male", "address": "92 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0207"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "29.2", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "falling", "previous_value": "34.1", "previous_date": "2025-12-07", "fhir_resource_id": "obs-0207"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 207 (1990-02-23), NHS 438 266 8518\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 29.2 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 76.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0208", "demographics": {"name": "Patient 208", "dob": "1951-03-05", "nhs_number": "875 297 3875", "age": 75, "sex": "Male", "address": "88 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0208"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "76.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2025-12-31", "trend": "falling", "previous_value": "77.2", "previous_date": "2025-11-09", "fhir_resource_id": "obs-0208"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 208 (1951-03-05), NHS 875 297 3875\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 76.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 12.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0209", "demographics": {"name": "Patient 209", "dob": "1966-03-01", "nhs_number": "289 243 8822", "age": 60, "sex": "Male", "address": "51 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0209"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "12.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-25", "trend": "falling", "previous_value": "15.0", "previous_date": "2025-12-30", "fhir_resource_id": "obs-0209"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 209 (1966-03-01), NHS 289 243 8822\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 12.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 44.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0210", "demographics": {"name": "Patient 210", "dob": "1974-02-27", "nhs_number": "437 409 1187", "age": 52, "sex": "Female", "address": "43 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0210"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "44.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-17", "trend": "rising", "previous_value": "41.2", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0210"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 210 (1974-02-27), NHS 437 409 1187\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 44.9 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 46.6 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0211", "demographics": {"name": "Patient 211", "dob": "1956-03-03", "nhs_number": "802 614 6095", "age": 70, "sex": "Female", "address": "98 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0211"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "46.6", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "41.2", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0211"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 211 (1956-03-03), NHS 802 614 6095\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 46.6 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 24.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0212", "demographics": {"name": "Patient 212", "dob": "1959-03-03", "nhs_number": "256 565 7121", "age": 67, "sex": "Female", "address": "63 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0212"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "24.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "18.4", "previous_date": "2025-10-31", "fhir_resource_id": "obs-0212"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 212 (1959-03-03), NHS 256 565 7121\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 24.3 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 66.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0213", "demographics": {"name": "Patient 213", "dob": "1950-03-05", "nhs_number": "906 183 9609", "age": 76, "sex": "Female", "address": "67 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0213"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "66.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "falling", "previous_value": "67.6", "previous_date": "2025-11-14", "fhir_resource_id": "obs-0213"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 213 (1950-03-05), NHS 906 183 9609\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 66.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 10.1 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0214", "demographics": {"name": "Patient 214", "dob": "1962-03-02", "nhs_number": "617 307 9792", "age": 64, "sex": "Female", "address": "29 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0214"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "10.1", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "falling", "previous_value": "10.9", "previous_date": "2025-11-19", "fhir_resource_id": "obs-0214"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 214 (1962-03-02), NHS 617 307 9792\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 10.1 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 69.4 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0215", "demographics": {"name": "Patient 215", "dob": "1991-02-23", "nhs_number": "622 556 1911", "age": 35, "sex": "Female", "address": "68 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0215"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "69.4", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "rising", "previous_value": "69.2", "previous_date": "2025-10-26", "fhir_resource_id": "obs-0215"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 215 (1991-02-23), NHS 622 556 1911\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 69.4 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 55.1 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0216", "demographics": {"name": "Patient 216", "dob": "1969-02-28", "nhs_number": "415 840 1356", "age": 57, "sex": "Female", "address": "60 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0216"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "55.1", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "falling", "previous_value": "57.9", "previous_date": "2025-12-30", "fhir_resource_id": "obs-0216"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 216 (1969-02-28), NHS 415 840 1356\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 55.1 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 8.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0217", "demographics": {"name": "Patient 217", "dob": "1961-03-02", "nhs_number": "165 654 1987", "age": 65, "sex": "Female", "address": "18 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0217"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "8.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-10", "trend": "rising", "previous_value": "6.1", "previous_date": "2025-12-26", "fhir_resource_id": "obs-0217"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 217 (1961-03-02), NHS 165 654 1987\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 8.6 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 74.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0218", "demographics": {"name": "Patient 218", "dob": "1972-02-28", "nhs_number": "846 761 7887", "age": 54, "sex": "Female", "address": "57 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0218"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "74.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "falling", "previous_value": "78.4", "previous_date": "2025-11-03", "fhir_resource_id": "obs-0218"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 218 (1972-02-28), NHS 846 761 7887\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 74.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 66.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0219", "demographics": {"name": "Patient 219", "dob": "1974-02-27", "nhs_number": "652 236 6697", "age": 52, "sex": "Female", "address": "25 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0219"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "66.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-29", "trend": "falling", "previous_value": "68.9", "previous_date": "2025-10-23", "fhir_resource_id": "obs-0219"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 219 (1974-02-27), NHS 652 236 6697\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 66.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 70.4 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0220", "demographics": {"name": "Patient 220", "dob": "1965-03-01", "nhs_number": "103 874 1372", "age": 61, "sex": "Female", "address": "48 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0220"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "70.4", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "66.0", "previous_date": "2025-10-22", "fhir_resource_id": "obs-0220"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 220 (1965-03-01), NHS 103 874 1372\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 70.4 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 79.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0221", "demographics": {"name": "Patient 221", "dob": "1964-03-01", "nhs_number": "454 258 5516", "age": 62, "sex": "Male", "address": "34 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0221"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "79.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "75.0", "previous_date": "2025-12-26", "fhir_resource_id": "obs-0221"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 221 (1964-03-01), NHS 454 258 5516\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 79.0 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 26.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0222", "demographics": {"name": "Patient 222", "dob": "1959-03-03", "nhs_number": "708 134 8314", "age": 67, "sex": "Female", "address": "86 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0222"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "26.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-06", "trend": "rising", "previous_value": "19.4", "previous_date": "2025-11-29", "fhir_resource_id": "obs-0222"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 222 (1959-03-03), NHS 708 134 8314\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 26.3 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 25.7 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0223", "demographics": {"name": "Patient 223", "dob": "1973-02-27", "nhs_number": "984 894 1924", "age": 53, "sex": "Male", "address": "27 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0223"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "25.7", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "rising", "previous_value": "21.2", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0223"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 223 (1973-02-27), NHS 984 894 1924\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 25.7 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 56.8 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0224", "demographics": {"name": "Patient 224", "dob": "1946-03-06", "nhs_number": "938 428 4881", "age": 80, "sex": "Male", "address": "48 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0224"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "56.8", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "falling", "previous_value": "61.2", "previous_date": "2025-10-25", "fhir_resource_id": "obs-0224"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 224 (1946-03-06), NHS 938 428 4881\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 56.8 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 29.4 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0225", "demographics": {"name": "Patient 225", "dob": "1972-02-28", "nhs_number": "705 852 3869", "age": 54, "sex": "Male", "address": "90 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0225"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "29.4", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "falling", "previous_value": "30.3", "previous_date": "2025-10-20", "fhir_resource_id": "obs-0225"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 225 (1972-02-28), NHS 705 852 3869\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 29.4 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 89.7 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0226", "demographics": {"name": "Patient 226", "dob": "1995-02-22", "nhs_number": "904 637 6222", "age": 31, "sex": "Male", "address": "99 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0226"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "89.7", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-14", "trend": "falling", "previous_value": "92.4", "previous_date": "2025-11-08", "fhir_resource_id": "obs-0226"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 226 (1995-02-22), NHS 904 637 6222\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 89.7 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 21.1 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0227", "demographics": {"name": "Patient 227", "dob": "1979-02-26", "nhs_number": "346 969 4692", "age": 47, "sex": "Male", "address": "48 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0227"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "21.1", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "falling", "previous_value": "21.7", "previous_date": "2025-11-01", "fhir_resource_id": "obs-0227"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 227 (1979-02-26), NHS 346 969 4692\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 21.1 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 92.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0228", "demographics": {"name": "Patient 228", "dob": "1963-03-02", "nhs_number": "237 497 4978", "age": 63, "sex": "Male", "address": "42 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0228"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "92.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "falling", "previous_value": "93.0", "previous_date": "2025-11-18", "fhir_resource_id": "obs-0228"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 228 (1963-03-02), NHS 237 497 4978\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 92.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 12.9 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0229", "demographics": {"name": "Patient 229", "dob": "1970-02-28", "nhs_number": "295 152 5398", "age": 56, "sex": "Male", "address": "58 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0229"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "12.9", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "falling", "previous_value": "16.5", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0229"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 229 (1970-02-28), NHS 295 152 5398\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 12.9 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 47.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0230", "demographics": {"name": "Patient 230", "dob": "1986-02-24", "nhs_number": "440 410 1251", "age": 40, "sex": "Female", "address": "37 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0230"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "47.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-28", "trend": "falling", "previous_value": "53.8", "previous_date": "2025-12-15", "fhir_resource_id": "obs-0230"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 230 (1986-02-24), NHS 440 410 1251\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 47.9 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 40.4 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0231", "demographics": {"name": "Patient 231", "dob": "1983-02-25", "nhs_number": "429 894 5637", "age": 43, "sex": "Female", "address": "58 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0231"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "40.4", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "36.2", "previous_date": "2025-10-23", "fhir_resource_id": "obs-0231"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 231 (1983-02-25), NHS 429 894 5637\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 40.4 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 37.0 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0232", "demographics": {"name": "Patient 232", "dob": "1979-02-26", "nhs_number": "577 200 8692", "age": 47, "sex": "Male", "address": "50 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0232"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "37.0", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "falling", "previous_value": "43.1", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0232"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 232 (1979-02-26), NHS 577 200 8692\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 37.0 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 55.4 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0233", "demographics": {"name": "Patient 233", "dob": "1972-02-28", "nhs_number": "249 116 5272", "age": 54, "sex": "Female", "address": "80 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0233"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "55.4", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-03", "trend": "rising", "previous_value": "50.9", "previous_date": "2025-10-17", "fhir_resource_id": "obs-0233"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 233 (1972-02-28), NHS 249 116 5272\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 55.4 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 22.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0234", "demographics": {"name": "Patient 234", "dob": "1980-02-26", "nhs_number": "683 953 5026", "age": 46, "sex": "Female", "address": "73 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0234"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "22.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "18.0", "previous_date": "2025-11-17", "fhir_resource_id": "obs-0234"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 234 (1980-02-26), NHS 683 953 5026\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 22.3 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 92.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0235", "demographics": {"name": "Patient 235", "dob": "1950-03-05", "nhs_number": "602 571 3756", "age": 76, "sex": "Male", "address": "55 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0235"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "92.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "falling", "previous_value": "94.3", "previous_date": "2025-12-13", "fhir_resource_id": "obs-0235"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 235 (1950-03-05), NHS 602 571 3756\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 92.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 51.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0236", "demographics": {"name": "Patient 236", "dob": "1987-02-24", "nhs_number": "176 937 1794", "age": 39, "sex": "Female", "address": "10 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0236"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "51.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-14", "trend": "falling", "previous_value": "57.3", "previous_date": "2025-12-13", "fhir_resource_id": "obs-0236"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 236 (1987-02-24), NHS 176 937 1794\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 51.9 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 5.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0237", "demographics": {"name": "Patient 237", "dob": "1994-02-22", "nhs_number": "482 161 8916", "age": 32, "sex": "Female", "address": "94 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0237"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "5.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "falling", "previous_value": "5.4", "previous_date": "2025-12-28", "fhir_resource_id": "obs-0237"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 237 (1994-02-22), NHS 482 161 8916\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 5.3 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 5.6 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0238", "demographics": {"name": "Patient 238", "dob": "1964-03-01", "nhs_number": "381 648 5697", "age": 62, "sex": "Male", "address": "12 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0238"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "5.6", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "falling", "previous_value": "6.1", "previous_date": "2025-11-05", "fhir_resource_id": "obs-0238"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 238 (1964-03-01), NHS 381 648 5697\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 5.6 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 52.0 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0239", "demographics": {"name": "Patient 239", "dob": "1992-02-23", "nhs_number": "734 639 5135", "age": 34, "sex": "Female", "address": "55 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0239"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "52.0", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-23", "trend": "rising", "previous_value": "47.9", "previous_date": "2025-11-10", "fhir_resource_id": "obs-0239"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 239 (1992-02-23), NHS 734 639 5135\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 52.0 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 46.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0240", "demographics": {"name": "Patient 240", "dob": "1975-02-27", "nhs_number": "813 331 5914", "age": 51, "sex": "Male", "address": "97 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0240"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "46.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "rising", "previous_value": "41.9", "previous_date": "2025-12-26", "fhir_resource_id": "obs-0240"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 240 (1975-02-27), NHS 813 331 5914\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 46.0 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 38.6 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0241", "demographics": {"name": "Patient 241", "dob": "1973-02-27", "nhs_number": "752 109 3807", "age": 53, "sex": "Male", "address": "20 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0241"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "38.6", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "rising", "previous_value": "38.2", "previous_date": "2025-11-05", "fhir_resource_id": "obs-0241"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 241 (1973-02-27), NHS 752 109 3807\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 38.6 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 85.5 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0242", "demographics": {"name": "Patient 242", "dob": "1962-03-02", "nhs_number": "335 316 8790", "age": 64, "sex": "Female", "address": "44 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0242"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "85.5", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-07", "trend": "falling", "previous_value": "92.2", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0242"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 242 (1962-03-02), NHS 335 316 8790\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 85.5 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 20.7 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0243", "demographics": {"name": "Patient 243", "dob": "1964-03-01", "nhs_number": "116 312 3362", "age": 62, "sex": "Female", "address": "60 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0243"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "20.7", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-05", "trend": "falling", "previous_value": "26.3", "previous_date": "2025-11-22", "fhir_resource_id": "obs-0243"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 243 (1964-03-01), NHS 116 312 3362\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 20.7 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 55.8 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0244", "demographics": {"name": "Patient 244", "dob": "1962-03-02", "nhs_number": "793 653 6435", "age": 64, "sex": "Female", "address": "59 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0244"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "55.8", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "falling", "previous_value": "61.4", "previous_date": "2025-12-20", "fhir_resource_id": "obs-0244"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 244 (1962-03-02), NHS 793 653 6435\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 55.8 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 44.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0245", "demographics": {"name": "Patient 245", "dob": "1995-02-22", "nhs_number": "448 719 7499", "age": 31, "sex": "Female", "address": "51 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0245"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "44.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-08", "trend": "falling", "previous_value": "49.5", "previous_date": "2025-11-26", "fhir_resource_id": "obs-0245"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 245 (1995-02-22), NHS 448 719 7499\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 44.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 36.7 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0246", "demographics": {"name": "Patient 246", "dob": "1967-03-01", "nhs_number": "542 290 7227", "age": 59, "sex": "Female", "address": "20 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0246"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "36.7", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-01", "trend": "falling", "previous_value": "43.8", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0246"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 246 (1967-03-01), NHS 542 290 7227\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 36.7 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 11.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0247", "demographics": {"name": "Patient 247", "dob": "1953-03-04", "nhs_number": "828 902 3527", "age": 73, "sex": "Female", "address": "59 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0247"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "11.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "rising", "previous_value": "6.4", "previous_date": "2025-11-14", "fhir_resource_id": "obs-0247"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 247 (1953-03-04), NHS 828 902 3527\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 11.9 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 89.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0248", "demographics": {"name": "Patient 248", "dob": "1993-02-22", "nhs_number": "879 376 2674", "age": 33, "sex": "Female", "address": "26 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0248"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "89.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "rising", "previous_value": "88.9", "previous_date": "2025-12-07", "fhir_resource_id": "obs-0248"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 248 (1993-02-22), NHS 879 376 2674\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 89.8 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 13.8 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0249", "demographics": {"name": "Patient 249", "dob": "1970-02-28", "nhs_number": "667 195 6315", "age": 56, "sex": "Male", "address": "59 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0249"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "13.8", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-09", "trend": "rising", "previous_value": "7.2", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0249"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 249 (1970-02-28), NHS 667 195 6315\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 13.8 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 70.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0250", "demographics": {"name": "Patient 250", "dob": "1974-02-27", "nhs_number": "348 685 9537", "age": 52, "sex": "Female", "address": "31 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0250"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "70.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "falling", "previous_value": "71.1", "previous_date": "2025-12-09", "fhir_resource_id": "obs-0250"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 250 (1974-02-27), NHS 348 685 9537\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 70.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} diff --git a/data/training/train.jsonl b/data/training/train.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c78b3a1c61a3e3d33959d6df59aa42c8235c99bc --- /dev/null +++ b/data/training/train.jsonl @@ -0,0 +1,200 @@ +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 6.8 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0001", "demographics": {"name": "Patient 1", "dob": "1958-03-03", "nhs_number": "328 242 2679", "age": 68, "sex": "Female", "address": "96 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0001"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "6.8", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "3.2", "previous_date": "2025-12-19", "fhir_resource_id": "obs-0001"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 1 (1958-03-03), NHS 328 242 2679\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 6.8 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 13.0 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0002", "demographics": {"name": "Patient 2", "dob": "1996-02-22", "nhs_number": "716 127 4257", "age": 30, "sex": "Female", "address": "93 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0002"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "13.0", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "8.7", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0002"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 2 (1996-02-22), NHS 716 127 4257\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 13.0 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 77.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0003", "demographics": {"name": "Patient 3", "dob": "1970-02-28", "nhs_number": "925 263 7924", "age": 56, "sex": "Male", "address": "53 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0003"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "77.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-23", "trend": "rising", "previous_value": "69.9", "previous_date": "2025-12-11", "fhir_resource_id": "obs-0003"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 3 (1970-02-28), NHS 925 263 7924\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 77.8 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 13.8 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0004", "demographics": {"name": "Patient 4", "dob": "1950-03-05", "nhs_number": "467 967 6635", "age": 76, "sex": "Male", "address": "87 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0004"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "13.8", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "rising", "previous_value": "11.9", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0004"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 4 (1950-03-05), NHS 467 967 6635\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 13.8 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 92.6 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0005", "demographics": {"name": "Patient 5", "dob": "1964-03-01", "nhs_number": "665 400 6925", "age": 62, "sex": "Female", "address": "83 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0005"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "92.6", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-28", "trend": "rising", "previous_value": "90.7", "previous_date": "2025-12-22", "fhir_resource_id": "obs-0005"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 5 (1964-03-01), NHS 665 400 6925\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 92.6 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 74.5 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0006", "demographics": {"name": "Patient 6", "dob": "1956-03-03", "nhs_number": "975 338 2654", "age": 70, "sex": "Female", "address": "58 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0006"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "74.5", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-23", "trend": "falling", "previous_value": "82.3", "previous_date": "2025-11-02", "fhir_resource_id": "obs-0006"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 6 (1956-03-03), NHS 975 338 2654\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 74.5 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 36.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0007", "demographics": {"name": "Patient 7", "dob": "1988-02-24", "nhs_number": "818 799 2169", "age": 38, "sex": "Male", "address": "87 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0007"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "36.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2025-12-31", "trend": "falling", "previous_value": "39.4", "previous_date": "2025-12-09", "fhir_resource_id": "obs-0007"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 7 (1988-02-24), NHS 818 799 2169\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 36.7 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 38.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0008", "demographics": {"name": "Patient 8", "dob": "1988-02-24", "nhs_number": "755 804 4598", "age": 38, "sex": "Male", "address": "97 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0008"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "38.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "falling", "previous_value": "46.6", "previous_date": "2025-12-23", "fhir_resource_id": "obs-0008"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 8 (1988-02-24), NHS 755 804 4598\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 38.8 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 77.4 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0009", "demographics": {"name": "Patient 9", "dob": "1946-03-06", "nhs_number": "167 316 6155", "age": 80, "sex": "Female", "address": "37 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0009"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "77.4", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "rising", "previous_value": "75.8", "previous_date": "2025-11-10", "fhir_resource_id": "obs-0009"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 9 (1946-03-06), NHS 167 316 6155\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 77.4 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 17.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0010", "demographics": {"name": "Patient 10", "dob": "1989-02-23", "nhs_number": "651 369 8019", "age": 37, "sex": "Male", "address": "84 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0010"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "17.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "falling", "previous_value": "21.0", "previous_date": "2025-11-14", "fhir_resource_id": "obs-0010"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 10 (1989-02-23), NHS 651 369 8019\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 17.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 12.7 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0011", "demographics": {"name": "Patient 11", "dob": "1990-02-23", "nhs_number": "212 256 3621", "age": 36, "sex": "Male", "address": "97 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0011"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "12.7", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "rising", "previous_value": "5.5", "previous_date": "2025-12-22", "fhir_resource_id": "obs-0011"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 11 (1990-02-23), NHS 212 256 3621\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 12.7 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 52.4 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0012", "demographics": {"name": "Patient 12", "dob": "1974-02-27", "nhs_number": "981 111 2876", "age": 52, "sex": "Male", "address": "97 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0012"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "52.4", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "59.9", "previous_date": "2025-11-26", "fhir_resource_id": "obs-0012"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 12 (1974-02-27), NHS 981 111 2876\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 52.4 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 43.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0013", "demographics": {"name": "Patient 13", "dob": "1991-02-23", "nhs_number": "839 996 5315", "age": 35, "sex": "Male", "address": "74 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0013"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "43.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-29", "trend": "rising", "previous_value": "43.1", "previous_date": "2025-10-27", "fhir_resource_id": "obs-0013"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 13 (1991-02-23), NHS 839 996 5315\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 43.8 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 80.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0014", "demographics": {"name": "Patient 14", "dob": "1958-03-03", "nhs_number": "303 256 7126", "age": 68, "sex": "Male", "address": "30 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0014"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "80.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "80.8", "previous_date": "2025-10-24", "fhir_resource_id": "obs-0014"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 14 (1958-03-03), NHS 303 256 7126\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 80.7 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 48.7 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0015", "demographics": {"name": "Patient 15", "dob": "1960-03-02", "nhs_number": "471 999 6038", "age": 66, "sex": "Male", "address": "40 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0015"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "48.7", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-06", "trend": "rising", "previous_value": "42.5", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0015"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 15 (1960-03-02), NHS 471 999 6038\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 48.7 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 78.4 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0016", "demographics": {"name": "Patient 16", "dob": "1993-02-22", "nhs_number": "645 884 3060", "age": 33, "sex": "Male", "address": "26 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0016"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "78.4", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-10", "trend": "falling", "previous_value": "86.0", "previous_date": "2025-10-21", "fhir_resource_id": "obs-0016"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 16 (1993-02-22), NHS 645 884 3060\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 78.4 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 91.8 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0017", "demographics": {"name": "Patient 17", "dob": "1982-02-25", "nhs_number": "873 847 4295", "age": 44, "sex": "Male", "address": "49 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0017"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "91.8", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "falling", "previous_value": "98.7", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0017"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 17 (1982-02-25), NHS 873 847 4295\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 91.8 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 15.5 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0018", "demographics": {"name": "Patient 18", "dob": "1965-03-01", "nhs_number": "446 121 4770", "age": 61, "sex": "Male", "address": "85 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0018"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "15.5", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "rising", "previous_value": "11.1", "previous_date": "2025-12-30", "fhir_resource_id": "obs-0018"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 18 (1965-03-01), NHS 446 121 4770\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 15.5 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 25.2 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0019", "demographics": {"name": "Patient 19", "dob": "1953-03-04", "nhs_number": "980 438 2160", "age": 73, "sex": "Female", "address": "75 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0019"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "25.2", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-25", "trend": "falling", "previous_value": "31.7", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0019"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 19 (1953-03-04), NHS 980 438 2160\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 25.2 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 70.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0020", "demographics": {"name": "Patient 20", "dob": "1985-02-24", "nhs_number": "690 584 4981", "age": 41, "sex": "Female", "address": "70 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0020"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "70.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-14", "trend": "falling", "previous_value": "76.1", "previous_date": "2025-12-06", "fhir_resource_id": "obs-0020"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 20 (1985-02-24), NHS 690 584 4981\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 70.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 36.6 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0021", "demographics": {"name": "Patient 21", "dob": "1992-02-23", "nhs_number": "984 846 1887", "age": 34, "sex": "Male", "address": "96 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0021"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "36.6", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-03", "trend": "rising", "previous_value": "35.2", "previous_date": "2025-12-23", "fhir_resource_id": "obs-0021"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 21 (1992-02-23), NHS 984 846 1887\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 36.6 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 77.0 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0022", "demographics": {"name": "Patient 22", "dob": "1952-03-04", "nhs_number": "296 294 9786", "age": 74, "sex": "Male", "address": "67 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0022"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "77.0", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "rising", "previous_value": "70.7", "previous_date": "2025-11-06", "fhir_resource_id": "obs-0022"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 22 (1952-03-04), NHS 296 294 9786\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 77.0 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 27.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0023", "demographics": {"name": "Patient 23", "dob": "1981-02-25", "nhs_number": "553 927 2604", "age": 45, "sex": "Male", "address": "16 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0023"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "27.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "33.9", "previous_date": "2025-12-29", "fhir_resource_id": "obs-0023"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 23 (1981-02-25), NHS 553 927 2604\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 27.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 19.6 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0024", "demographics": {"name": "Patient 24", "dob": "1950-03-05", "nhs_number": "318 985 7570", "age": 76, "sex": "Female", "address": "17 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0024"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "19.6", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "rising", "previous_value": "19.4", "previous_date": "2025-11-12", "fhir_resource_id": "obs-0024"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 24 (1950-03-05), NHS 318 985 7570\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 19.6 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 88.3 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0025", "demographics": {"name": "Patient 25", "dob": "1974-02-27", "nhs_number": "392 533 8973", "age": 52, "sex": "Male", "address": "29 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0025"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "88.3", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-28", "trend": "falling", "previous_value": "92.9", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0025"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 25 (1974-02-27), NHS 392 533 8973\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 88.3 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 72.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0026", "demographics": {"name": "Patient 26", "dob": "1995-02-22", "nhs_number": "698 588 9238", "age": 31, "sex": "Female", "address": "77 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0026"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "72.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "rising", "previous_value": "65.1", "previous_date": "2025-12-23", "fhir_resource_id": "obs-0026"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 26 (1995-02-22), NHS 698 588 9238\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 72.2 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 10.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0027", "demographics": {"name": "Patient 27", "dob": "1944-03-06", "nhs_number": "982 340 7615", "age": 82, "sex": "Female", "address": "25 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0027"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "10.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-04", "trend": "rising", "previous_value": "3.8", "previous_date": "2025-11-29", "fhir_resource_id": "obs-0027"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 27 (1944-03-06), NHS 982 340 7615\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 10.7 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 42.4 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0028", "demographics": {"name": "Patient 28", "dob": "1959-03-03", "nhs_number": "635 423 5272", "age": 67, "sex": "Female", "address": "36 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0028"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "42.4", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "falling", "previous_value": "43.7", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0028"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 28 (1959-03-03), NHS 635 423 5272\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 42.4 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 65.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0029", "demographics": {"name": "Patient 29", "dob": "1973-02-27", "nhs_number": "423 869 2188", "age": 53, "sex": "Female", "address": "11 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0029"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "65.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "62.1", "previous_date": "2025-10-19", "fhir_resource_id": "obs-0029"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 29 (1973-02-27), NHS 423 869 2188\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 65.3 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 50.3 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0030", "demographics": {"name": "Patient 30", "dob": "1994-02-22", "nhs_number": "457 170 5002", "age": 32, "sex": "Female", "address": "57 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0030"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "50.3", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "rising", "previous_value": "44.4", "previous_date": "2025-12-10", "fhir_resource_id": "obs-0030"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 30 (1994-02-22), NHS 457 170 5002\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 50.3 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 59.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0031", "demographics": {"name": "Patient 31", "dob": "1945-03-06", "nhs_number": "769 641 1128", "age": 81, "sex": "Male", "address": "95 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0031"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "59.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "falling", "previous_value": "67.7", "previous_date": "2025-11-22", "fhir_resource_id": "obs-0031"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 31 (1945-03-06), NHS 769 641 1128\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 59.9 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 14.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0032", "demographics": {"name": "Patient 32", "dob": "1990-02-23", "nhs_number": "666 259 5462", "age": 36, "sex": "Male", "address": "46 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0032"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "14.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "rising", "previous_value": "8.6", "previous_date": "2025-12-04", "fhir_resource_id": "obs-0032"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 32 (1990-02-23), NHS 666 259 5462\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 14.9 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 50.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0033", "demographics": {"name": "Patient 33", "dob": "1985-02-24", "nhs_number": "966 152 2512", "age": 41, "sex": "Male", "address": "91 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0033"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "50.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "rising", "previous_value": "46.2", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0033"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 33 (1985-02-24), NHS 966 152 2512\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 50.2 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 74.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0034", "demographics": {"name": "Patient 34", "dob": "1998-02-21", "nhs_number": "368 265 8239", "age": 28, "sex": "Male", "address": "80 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0034"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "74.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "falling", "previous_value": "76.5", "previous_date": "2025-10-20", "fhir_resource_id": "obs-0034"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 34 (1998-02-21), NHS 368 265 8239\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 74.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 90.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0035", "demographics": {"name": "Patient 35", "dob": "1991-02-23", "nhs_number": "252 658 1590", "age": 35, "sex": "Female", "address": "57 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0035"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "90.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-03", "trend": "falling", "previous_value": "93.1", "previous_date": "2025-10-21", "fhir_resource_id": "obs-0035"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 35 (1991-02-23), NHS 252 658 1590\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 90.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 8.3 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0036", "demographics": {"name": "Patient 36", "dob": "1971-02-28", "nhs_number": "915 981 1653", "age": 55, "sex": "Female", "address": "55 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0036"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "8.3", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "rising", "previous_value": "6.1", "previous_date": "2025-11-29", "fhir_resource_id": "obs-0036"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 36 (1971-02-28), NHS 915 981 1653\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 8.3 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 92.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0037", "demographics": {"name": "Patient 37", "dob": "1976-02-27", "nhs_number": "342 985 3662", "age": 50, "sex": "Male", "address": "32 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0037"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "92.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-14", "trend": "falling", "previous_value": "96.6", "previous_date": "2025-12-27", "fhir_resource_id": "obs-0037"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 37 (1976-02-27), NHS 342 985 3662\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 92.6 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 75.3 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0038", "demographics": {"name": "Patient 38", "dob": "1951-03-05", "nhs_number": "785 984 5065", "age": 75, "sex": "Male", "address": "44 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0038"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "75.3", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "rising", "previous_value": "73.9", "previous_date": "2025-12-17", "fhir_resource_id": "obs-0038"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 38 (1951-03-05), NHS 785 984 5065\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 75.3 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 24.6 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0039", "demographics": {"name": "Patient 39", "dob": "1996-02-22", "nhs_number": "571 458 6000", "age": 30, "sex": "Male", "address": "39 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0039"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "24.6", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "29.7", "previous_date": "2025-12-27", "fhir_resource_id": "obs-0039"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 39 (1996-02-22), NHS 571 458 6000\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 24.6 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 29.7 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0040", "demographics": {"name": "Patient 40", "dob": "1973-02-27", "nhs_number": "891 385 6753", "age": 53, "sex": "Male", "address": "92 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0040"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "29.7", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "rising", "previous_value": "22.8", "previous_date": "2025-11-09", "fhir_resource_id": "obs-0040"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 40 (1973-02-27), NHS 891 385 6753\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 29.7 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 83.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0041", "demographics": {"name": "Patient 41", "dob": "1997-02-21", "nhs_number": "694 371 1626", "age": 29, "sex": "Female", "address": "23 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0041"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "83.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "rising", "previous_value": "80.1", "previous_date": "2025-11-05", "fhir_resource_id": "obs-0041"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 41 (1997-02-21), NHS 694 371 1626\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 83.9 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 44.0 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0042", "demographics": {"name": "Patient 42", "dob": "1952-03-04", "nhs_number": "218 494 4114", "age": 74, "sex": "Male", "address": "42 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0042"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "44.0", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-07", "trend": "falling", "previous_value": "51.7", "previous_date": "2025-11-05", "fhir_resource_id": "obs-0042"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 42 (1952-03-04), NHS 218 494 4114\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 44.0 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 37.5 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0043", "demographics": {"name": "Patient 43", "dob": "1965-03-01", "nhs_number": "780 438 6143", "age": 61, "sex": "Female", "address": "94 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0043"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "37.5", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "30.6", "previous_date": "2025-11-22", "fhir_resource_id": "obs-0043"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 43 (1965-03-01), NHS 780 438 6143\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 37.5 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 34.0 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0044", "demographics": {"name": "Patient 44", "dob": "1956-03-03", "nhs_number": "667 230 4143", "age": 70, "sex": "Male", "address": "63 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0044"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "34.0", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "falling", "previous_value": "37.2", "previous_date": "2025-12-08", "fhir_resource_id": "obs-0044"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 44 (1956-03-03), NHS 667 230 4143\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 34.0 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 32.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0045", "demographics": {"name": "Patient 45", "dob": "1973-02-27", "nhs_number": "904 693 6279", "age": 53, "sex": "Female", "address": "69 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0045"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "32.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "rising", "previous_value": "27.4", "previous_date": "2025-11-04", "fhir_resource_id": "obs-0045"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 45 (1973-02-27), NHS 904 693 6279\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 32.0 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 76.3 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0046", "demographics": {"name": "Patient 46", "dob": "1966-03-01", "nhs_number": "853 273 2389", "age": 60, "sex": "Male", "address": "46 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0046"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "76.3", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "falling", "previous_value": "83.7", "previous_date": "2025-11-18", "fhir_resource_id": "obs-0046"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 46 (1966-03-01), NHS 853 273 2389\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 76.3 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 65.4 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0047", "demographics": {"name": "Patient 47", "dob": "1946-03-06", "nhs_number": "303 250 1400", "age": 80, "sex": "Female", "address": "15 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0047"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "65.4", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-25", "trend": "rising", "previous_value": "61.0", "previous_date": "2025-10-31", "fhir_resource_id": "obs-0047"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 47 (1946-03-06), NHS 303 250 1400\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 65.4 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 84.7 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0048", "demographics": {"name": "Patient 48", "dob": "1969-02-28", "nhs_number": "835 813 7291", "age": 57, "sex": "Male", "address": "73 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0048"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "84.7", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "falling", "previous_value": "85.9", "previous_date": "2025-11-29", "fhir_resource_id": "obs-0048"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 48 (1969-02-28), NHS 835 813 7291\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 84.7 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 85.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0049", "demographics": {"name": "Patient 49", "dob": "1957-03-03", "nhs_number": "209 897 7965", "age": 69, "sex": "Female", "address": "38 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0049"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "85.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-29", "trend": "falling", "previous_value": "91.1", "previous_date": "2025-10-25", "fhir_resource_id": "obs-0049"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 49 (1957-03-03), NHS 209 897 7965\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 85.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 87.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0050", "demographics": {"name": "Patient 50", "dob": "1995-02-22", "nhs_number": "236 920 8612", "age": 31, "sex": "Female", "address": "95 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0050"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "87.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "rising", "previous_value": "81.4", "previous_date": "2025-10-20", "fhir_resource_id": "obs-0050"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 50 (1995-02-22), NHS 236 920 8612\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 87.5 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 59.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0051", "demographics": {"name": "Patient 51", "dob": "1950-03-05", "nhs_number": "616 536 9976", "age": 76, "sex": "Male", "address": "67 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0051"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "59.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "falling", "previous_value": "63.4", "previous_date": "2025-10-31", "fhir_resource_id": "obs-0051"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 51 (1950-03-05), NHS 616 536 9976\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 59.9 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 80.5 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0052", "demographics": {"name": "Patient 52", "dob": "1982-02-25", "nhs_number": "896 633 8939", "age": 44, "sex": "Female", "address": "90 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0052"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "80.5", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-25", "trend": "rising", "previous_value": "76.9", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0052"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 52 (1982-02-25), NHS 896 633 8939\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 80.5 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 25.7 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0053", "demographics": {"name": "Patient 53", "dob": "1994-02-22", "nhs_number": "653 182 3267", "age": 32, "sex": "Male", "address": "29 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0053"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "25.7", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "rising", "previous_value": "23.1", "previous_date": "2025-11-11", "fhir_resource_id": "obs-0053"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 53 (1994-02-22), NHS 653 182 3267\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 25.7 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 10.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0054", "demographics": {"name": "Patient 54", "dob": "1953-03-04", "nhs_number": "655 577 7812", "age": 73, "sex": "Female", "address": "17 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0054"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "10.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "rising", "previous_value": "8.8", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0054"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 54 (1953-03-04), NHS 655 577 7812\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 10.3 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 82.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0055", "demographics": {"name": "Patient 55", "dob": "1949-03-05", "nhs_number": "489 588 1096", "age": 77, "sex": "Female", "address": "55 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0055"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "82.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "falling", "previous_value": "86.2", "previous_date": "2025-11-11", "fhir_resource_id": "obs-0055"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 55 (1949-03-05), NHS 489 588 1096\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 82.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 48.7 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0056", "demographics": {"name": "Patient 56", "dob": "1964-03-01", "nhs_number": "597 129 7371", "age": 62, "sex": "Female", "address": "53 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0056"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "48.7", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "rising", "previous_value": "45.1", "previous_date": "2025-12-09", "fhir_resource_id": "obs-0056"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 56 (1964-03-01), NHS 597 129 7371\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 48.7 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 86.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0057", "demographics": {"name": "Patient 57", "dob": "1990-02-23", "nhs_number": "778 127 2375", "age": 36, "sex": "Female", "address": "92 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0057"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "86.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "falling", "previous_value": "88.1", "previous_date": "2025-12-13", "fhir_resource_id": "obs-0057"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 57 (1990-02-23), NHS 778 127 2375\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 86.6 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 28.0 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0058", "demographics": {"name": "Patient 58", "dob": "1987-02-24", "nhs_number": "565 434 6529", "age": 39, "sex": "Female", "address": "58 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0058"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "28.0", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-23", "trend": "rising", "previous_value": "25.2", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0058"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 58 (1987-02-24), NHS 565 434 6529\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 28.0 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 47.1 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0059", "demographics": {"name": "Patient 59", "dob": "1945-03-06", "nhs_number": "153 458 4673", "age": 81, "sex": "Female", "address": "93 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0059"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "47.1", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-05", "trend": "falling", "previous_value": "51.1", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0059"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 59 (1945-03-06), NHS 153 458 4673\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 47.1 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 80.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0060", "demographics": {"name": "Patient 60", "dob": "1983-02-25", "nhs_number": "344 229 8758", "age": 43, "sex": "Female", "address": "95 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0060"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "80.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "falling", "previous_value": "82.4", "previous_date": "2025-10-19", "fhir_resource_id": "obs-0060"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 60 (1983-02-25), NHS 344 229 8758\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 80.5 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 73.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0061", "demographics": {"name": "Patient 61", "dob": "1969-02-28", "nhs_number": "721 865 2876", "age": 57, "sex": "Male", "address": "30 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0061"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "73.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "rising", "previous_value": "68.6", "previous_date": "2025-12-17", "fhir_resource_id": "obs-0061"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 61 (1969-02-28), NHS 721 865 2876\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 73.9 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 40.4 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0062", "demographics": {"name": "Patient 62", "dob": "1979-02-26", "nhs_number": "177 706 4978", "age": 47, "sex": "Male", "address": "23 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0062"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "40.4", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "falling", "previous_value": "43.8", "previous_date": "2025-12-15", "fhir_resource_id": "obs-0062"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 62 (1979-02-26), NHS 177 706 4978\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 40.4 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 64.4 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0063", "demographics": {"name": "Patient 63", "dob": "1976-02-27", "nhs_number": "763 449 1207", "age": 50, "sex": "Male", "address": "63 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0063"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "64.4", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "rising", "previous_value": "57.5", "previous_date": "2025-12-17", "fhir_resource_id": "obs-0063"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 63 (1976-02-27), NHS 763 449 1207\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 64.4 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 68.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0064", "demographics": {"name": "Patient 64", "dob": "1975-02-27", "nhs_number": "851 634 5425", "age": 51, "sex": "Male", "address": "88 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0064"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "68.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "67.5", "previous_date": "2025-10-30", "fhir_resource_id": "obs-0064"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 64 (1975-02-27), NHS 851 634 5425\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 68.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 33.7 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0065", "demographics": {"name": "Patient 65", "dob": "1971-02-28", "nhs_number": "188 385 8385", "age": 55, "sex": "Male", "address": "41 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0065"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "33.7", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "29.6", "previous_date": "2025-10-19", "fhir_resource_id": "obs-0065"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 65 (1971-02-28), NHS 188 385 8385\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 33.7 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 49.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0066", "demographics": {"name": "Patient 66", "dob": "1977-02-26", "nhs_number": "599 317 6813", "age": 49, "sex": "Female", "address": "43 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0066"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "49.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "rising", "previous_value": "46.4", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0066"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 66 (1977-02-26), NHS 599 317 6813\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 49.2 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 51.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0067", "demographics": {"name": "Patient 67", "dob": "1963-03-02", "nhs_number": "347 837 7658", "age": 63, "sex": "Female", "address": "72 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0067"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "51.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "46.4", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0067"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 67 (1963-03-02), NHS 347 837 7658\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 51.3 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 45.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0068", "demographics": {"name": "Patient 68", "dob": "1957-03-03", "nhs_number": "401 326 7625", "age": 69, "sex": "Male", "address": "98 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0068"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "45.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-25", "trend": "rising", "previous_value": "37.4", "previous_date": "2025-11-21", "fhir_resource_id": "obs-0068"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 68 (1957-03-03), NHS 401 326 7625\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 45.1 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 43.0 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0069", "demographics": {"name": "Patient 69", "dob": "1968-02-29", "nhs_number": "438 460 8434", "age": 58, "sex": "Male", "address": "44 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0069"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "43.0", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "falling", "previous_value": "46.9", "previous_date": "2025-11-28", "fhir_resource_id": "obs-0069"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 69 (1968-02-29), NHS 438 460 8434\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 43.0 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 33.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0070", "demographics": {"name": "Patient 70", "dob": "1991-02-23", "nhs_number": "880 806 4033", "age": 35, "sex": "Female", "address": "34 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0070"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "33.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "falling", "previous_value": "37.0", "previous_date": "2025-10-30", "fhir_resource_id": "obs-0070"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 70 (1991-02-23), NHS 880 806 4033\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 33.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 93.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0071", "demographics": {"name": "Patient 71", "dob": "1952-03-04", "nhs_number": "403 332 6912", "age": 74, "sex": "Male", "address": "32 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0071"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "93.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "falling", "previous_value": "98.5", "previous_date": "2025-12-29", "fhir_resource_id": "obs-0071"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 71 (1952-03-04), NHS 403 332 6912\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 93.2 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 92.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0072", "demographics": {"name": "Patient 72", "dob": "1981-02-25", "nhs_number": "814 229 9042", "age": 45, "sex": "Female", "address": "23 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0072"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "92.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-09", "trend": "falling", "previous_value": "93.6", "previous_date": "2025-10-18", "fhir_resource_id": "obs-0072"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 72 (1981-02-25), NHS 814 229 9042\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 92.7 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 44.4 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0073", "demographics": {"name": "Patient 73", "dob": "1968-02-29", "nhs_number": "152 358 8827", "age": 58, "sex": "Male", "address": "24 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0073"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "44.4", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-05", "trend": "rising", "previous_value": "39.3", "previous_date": "2025-11-09", "fhir_resource_id": "obs-0073"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 73 (1968-02-29), NHS 152 358 8827\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 44.4 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 18.2 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0074", "demographics": {"name": "Patient 74", "dob": "1994-02-22", "nhs_number": "411 187 5066", "age": 32, "sex": "Female", "address": "25 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0074"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "18.2", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "falling", "previous_value": "23.2", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0074"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 74 (1994-02-22), NHS 411 187 5066\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 18.2 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 45.3 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0075", "demographics": {"name": "Patient 75", "dob": "1949-03-05", "nhs_number": "980 702 8025", "age": 77, "sex": "Male", "address": "49 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0075"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "45.3", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-04", "trend": "rising", "previous_value": "44.4", "previous_date": "2025-12-23", "fhir_resource_id": "obs-0075"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 75 (1949-03-05), NHS 980 702 8025\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 45.3 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 61.1 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0076", "demographics": {"name": "Patient 76", "dob": "1950-03-05", "nhs_number": "183 260 4929", "age": 76, "sex": "Female", "address": "32 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0076"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "61.1", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "57.3", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0076"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 76 (1950-03-05), NHS 183 260 4929\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 61.1 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 45.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0077", "demographics": {"name": "Patient 77", "dob": "1998-02-21", "nhs_number": "398 133 4792", "age": 28, "sex": "Male", "address": "46 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0077"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "45.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "falling", "previous_value": "46.8", "previous_date": "2025-11-02", "fhir_resource_id": "obs-0077"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 77 (1998-02-21), NHS 398 133 4792\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 45.3 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 88.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0078", "demographics": {"name": "Patient 78", "dob": "1955-03-04", "nhs_number": "740 703 4241", "age": 71, "sex": "Female", "address": "64 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0078"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "88.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "falling", "previous_value": "92.7", "previous_date": "2025-10-22", "fhir_resource_id": "obs-0078"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 78 (1955-03-04), NHS 740 703 4241\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 88.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 86.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0079", "demographics": {"name": "Patient 79", "dob": "1957-03-03", "nhs_number": "173 161 3718", "age": 69, "sex": "Female", "address": "49 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0079"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "86.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "falling", "previous_value": "91.9", "previous_date": "2025-10-19", "fhir_resource_id": "obs-0079"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 79 (1957-03-03), NHS 173 161 3718\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 86.7 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 46.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0080", "demographics": {"name": "Patient 80", "dob": "1970-02-28", "nhs_number": "512 378 9199", "age": 56, "sex": "Female", "address": "79 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0080"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "46.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "rising", "previous_value": "43.8", "previous_date": "2025-11-04", "fhir_resource_id": "obs-0080"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 80 (1970-02-28), NHS 512 378 9199\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 46.9 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 85.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0081", "demographics": {"name": "Patient 81", "dob": "1960-03-02", "nhs_number": "718 356 1423", "age": 66, "sex": "Female", "address": "21 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0081"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "85.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "88.8", "previous_date": "2025-10-18", "fhir_resource_id": "obs-0081"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 81 (1960-03-02), NHS 718 356 1423\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 85.0 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 56.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0082", "demographics": {"name": "Patient 82", "dob": "1950-03-05", "nhs_number": "279 581 9502", "age": 76, "sex": "Male", "address": "93 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0082"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "56.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "falling", "previous_value": "60.9", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0082"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 82 (1950-03-05), NHS 279 581 9502\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 56.7 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 61.9 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0083", "demographics": {"name": "Patient 83", "dob": "1961-03-02", "nhs_number": "193 581 6700", "age": 65, "sex": "Male", "address": "62 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0083"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "61.9", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "rising", "previous_value": "61.8", "previous_date": "2025-11-19", "fhir_resource_id": "obs-0083"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 83 (1961-03-02), NHS 193 581 6700\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 61.9 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 34.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0084", "demographics": {"name": "Patient 84", "dob": "1944-03-06", "nhs_number": "395 778 7561", "age": 82, "sex": "Female", "address": "80 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0084"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "34.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-07", "trend": "falling", "previous_value": "37.4", "previous_date": "2025-11-02", "fhir_resource_id": "obs-0084"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 84 (1944-03-06), NHS 395 778 7561\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 34.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 33.8 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0085", "demographics": {"name": "Patient 85", "dob": "1978-02-26", "nhs_number": "513 985 9431", "age": 48, "sex": "Male", "address": "10 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0085"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "33.8", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "41.3", "previous_date": "2025-11-01", "fhir_resource_id": "obs-0085"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 85 (1978-02-26), NHS 513 985 9431\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 33.8 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 51.4 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0086", "demographics": {"name": "Patient 86", "dob": "1995-02-22", "nhs_number": "610 740 8242", "age": 31, "sex": "Female", "address": "16 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0086"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "51.4", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-27", "trend": "falling", "previous_value": "53.4", "previous_date": "2025-11-26", "fhir_resource_id": "obs-0086"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 86 (1995-02-22), NHS 610 740 8242\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 51.4 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 84.2 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0087", "demographics": {"name": "Patient 87", "dob": "1980-02-26", "nhs_number": "129 745 4920", "age": 46, "sex": "Male", "address": "30 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0087"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "84.2", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "rising", "previous_value": "84.0", "previous_date": "2025-10-21", "fhir_resource_id": "obs-0087"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 87 (1980-02-26), NHS 129 745 4920\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 84.2 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 12.9 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0088", "demographics": {"name": "Patient 88", "dob": "1963-03-02", "nhs_number": "216 572 2924", "age": 63, "sex": "Male", "address": "92 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0088"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "12.9", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "falling", "previous_value": "20.8", "previous_date": "2025-10-28", "fhir_resource_id": "obs-0088"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 88 (1963-03-02), NHS 216 572 2924\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 12.9 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 42.1 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0089", "demographics": {"name": "Patient 89", "dob": "1966-03-01", "nhs_number": "583 349 8483", "age": 60, "sex": "Male", "address": "80 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0089"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "42.1", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "rising", "previous_value": "41.8", "previous_date": "2025-11-11", "fhir_resource_id": "obs-0089"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 89 (1966-03-01), NHS 583 349 8483\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 42.1 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 82.7 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0090", "demographics": {"name": "Patient 90", "dob": "1960-03-02", "nhs_number": "908 974 7798", "age": 66, "sex": "Female", "address": "53 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0090"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "82.7", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "rising", "previous_value": "79.1", "previous_date": "2025-11-26", "fhir_resource_id": "obs-0090"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 90 (1960-03-02), NHS 908 974 7798\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 82.7 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 80.3 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0091", "demographics": {"name": "Patient 91", "dob": "1980-02-26", "nhs_number": "775 601 3434", "age": 46, "sex": "Male", "address": "67 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0091"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "80.3", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "81.6", "previous_date": "2025-10-30", "fhir_resource_id": "obs-0091"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 91 (1980-02-26), NHS 775 601 3434\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 80.3 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 45.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0092", "demographics": {"name": "Patient 92", "dob": "1977-02-26", "nhs_number": "293 814 4912", "age": 49, "sex": "Male", "address": "83 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0092"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "45.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "rising", "previous_value": "42.8", "previous_date": "2025-12-01", "fhir_resource_id": "obs-0092"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 92 (1977-02-26), NHS 293 814 4912\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 45.7 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 71.9 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0093", "demographics": {"name": "Patient 93", "dob": "1996-02-22", "nhs_number": "930 490 7325", "age": 30, "sex": "Male", "address": "94 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0093"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "71.9", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "falling", "previous_value": "75.2", "previous_date": "2025-10-28", "fhir_resource_id": "obs-0093"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 93 (1996-02-22), NHS 930 490 7325\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 71.9 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 83.2 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0094", "demographics": {"name": "Patient 94", "dob": "1990-02-23", "nhs_number": "550 202 9617", "age": 36, "sex": "Male", "address": "68 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0094"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "83.2", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-09", "trend": "falling", "previous_value": "89.2", "previous_date": "2025-12-12", "fhir_resource_id": "obs-0094"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 94 (1990-02-23), NHS 550 202 9617\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 83.2 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 11.3 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0095", "demographics": {"name": "Patient 95", "dob": "1957-03-03", "nhs_number": "371 446 7512", "age": 69, "sex": "Female", "address": "93 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0095"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "11.3", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "falling", "previous_value": "15.8", "previous_date": "2025-11-18", "fhir_resource_id": "obs-0095"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 95 (1957-03-03), NHS 371 446 7512\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 11.3 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 83.5 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0096", "demographics": {"name": "Patient 96", "dob": "1978-02-26", "nhs_number": "170 340 5708", "age": 48, "sex": "Male", "address": "39 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0096"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "83.5", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "rising", "previous_value": "76.1", "previous_date": "2025-11-05", "fhir_resource_id": "obs-0096"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 96 (1978-02-26), NHS 170 340 5708\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 83.5 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 44.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0097", "demographics": {"name": "Patient 97", "dob": "1950-03-05", "nhs_number": "129 147 6314", "age": 76, "sex": "Female", "address": "17 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0097"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "44.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "falling", "previous_value": "47.8", "previous_date": "2025-11-15", "fhir_resource_id": "obs-0097"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 97 (1950-03-05), NHS 129 147 6314\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 44.7 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 26.6 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0098", "demographics": {"name": "Patient 98", "dob": "1971-02-28", "nhs_number": "798 911 3950", "age": 55, "sex": "Female", "address": "31 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0098"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "26.6", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-29", "trend": "rising", "previous_value": "25.2", "previous_date": "2025-12-20", "fhir_resource_id": "obs-0098"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 98 (1971-02-28), NHS 798 911 3950\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 26.6 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 49.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0099", "demographics": {"name": "Patient 99", "dob": "1959-03-03", "nhs_number": "337 572 5161", "age": 67, "sex": "Female", "address": "68 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0099"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "49.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "falling", "previous_value": "50.8", "previous_date": "2025-12-29", "fhir_resource_id": "obs-0099"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 99 (1959-03-03), NHS 337 572 5161\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 49.5 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 11.2 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0100", "demographics": {"name": "Patient 100", "dob": "1980-02-26", "nhs_number": "701 406 7951", "age": 46, "sex": "Female", "address": "98 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0100"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "11.2", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "falling", "previous_value": "18.3", "previous_date": "2025-11-02", "fhir_resource_id": "obs-0100"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 100 (1980-02-26), NHS 701 406 7951\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 11.2 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 81.7 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0101", "demographics": {"name": "Patient 101", "dob": "1986-02-24", "nhs_number": "490 685 6881", "age": 40, "sex": "Male", "address": "83 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0101"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "81.7", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "rising", "previous_value": "75.4", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0101"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 101 (1986-02-24), NHS 490 685 6881\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 81.7 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 29.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0102", "demographics": {"name": "Patient 102", "dob": "1945-03-06", "nhs_number": "802 896 1803", "age": 81, "sex": "Male", "address": "87 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0102"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "29.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-09", "trend": "falling", "previous_value": "30.4", "previous_date": "2025-11-24", "fhir_resource_id": "obs-0102"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 102 (1945-03-06), NHS 802 896 1803\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 29.3 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 24.3 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0103", "demographics": {"name": "Patient 103", "dob": "1960-03-02", "nhs_number": "356 794 3240", "age": 66, "sex": "Male", "address": "90 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0103"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "24.3", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-03", "trend": "rising", "previous_value": "19.3", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0103"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 103 (1960-03-02), NHS 356 794 3240\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 24.3 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 7.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0104", "demographics": {"name": "Patient 104", "dob": "1948-03-05", "nhs_number": "234 192 5835", "age": 78, "sex": "Male", "address": "51 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0104"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "7.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-14", "trend": "rising", "previous_value": "5.3", "previous_date": "2025-12-08", "fhir_resource_id": "obs-0104"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 104 (1948-03-05), NHS 234 192 5835\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 7.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 52.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0105", "demographics": {"name": "Patient 105", "dob": "1990-02-23", "nhs_number": "950 268 5210", "age": 36, "sex": "Male", "address": "71 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0105"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "52.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "falling", "previous_value": "59.1", "previous_date": "2025-11-17", "fhir_resource_id": "obs-0105"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 105 (1990-02-23), NHS 950 268 5210\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 52.5 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 17.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0106", "demographics": {"name": "Patient 106", "dob": "1969-02-28", "nhs_number": "980 792 7511", "age": 57, "sex": "Female", "address": "81 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0106"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "17.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-17", "trend": "falling", "previous_value": "24.7", "previous_date": "2025-12-19", "fhir_resource_id": "obs-0106"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 106 (1969-02-28), NHS 980 792 7511\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 17.2 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 53.1 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0107", "demographics": {"name": "Patient 107", "dob": "1998-02-21", "nhs_number": "788 866 5295", "age": 28, "sex": "Male", "address": "84 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0107"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "53.1", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "rising", "previous_value": "52.4", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0107"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 107 (1998-02-21), NHS 788 866 5295\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 53.1 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 47.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0108", "demographics": {"name": "Patient 108", "dob": "1955-03-04", "nhs_number": "674 435 4626", "age": 71, "sex": "Female", "address": "92 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0108"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "47.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-05", "trend": "falling", "previous_value": "49.1", "previous_date": "2025-11-01", "fhir_resource_id": "obs-0108"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 108 (1955-03-04), NHS 674 435 4626\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 47.2 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 15.1 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0109", "demographics": {"name": "Patient 109", "dob": "1957-03-03", "nhs_number": "138 411 9071", "age": 69, "sex": "Male", "address": "24 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0109"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "15.1", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-02-03", "trend": "rising", "previous_value": "7.8", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0109"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 109 (1957-03-03), NHS 138 411 9071\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 15.1 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 38.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0110", "demographics": {"name": "Patient 110", "dob": "1974-02-27", "nhs_number": "813 653 7866", "age": 52, "sex": "Male", "address": "85 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0110"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "38.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-31", "trend": "falling", "previous_value": "45.3", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0110"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 110 (1974-02-27), NHS 813 653 7866\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 38.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 60.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0111", "demographics": {"name": "Patient 111", "dob": "1945-03-06", "nhs_number": "386 133 7070", "age": 81, "sex": "Male", "address": "37 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0111"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "60.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "falling", "previous_value": "67.2", "previous_date": "2025-11-04", "fhir_resource_id": "obs-0111"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 111 (1945-03-06), NHS 386 133 7070\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 60.2 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 13.5 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0112", "demographics": {"name": "Patient 112", "dob": "1944-03-06", "nhs_number": "657 760 6876", "age": 82, "sex": "Male", "address": "17 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0112"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "13.5", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "falling", "previous_value": "16.5", "previous_date": "2025-11-25", "fhir_resource_id": "obs-0112"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 112 (1944-03-06), NHS 657 760 6876\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 13.5 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 12.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0113", "demographics": {"name": "Patient 113", "dob": "1991-02-23", "nhs_number": "754 711 1349", "age": 35, "sex": "Male", "address": "16 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0113"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "12.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "rising", "previous_value": "8.2", "previous_date": "2025-11-29", "fhir_resource_id": "obs-0113"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 113 (1991-02-23), NHS 754 711 1349\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 12.8 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 10.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0114", "demographics": {"name": "Patient 114", "dob": "1948-03-05", "nhs_number": "312 700 4538", "age": 78, "sex": "Female", "address": "39 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0114"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "10.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "falling", "previous_value": "14.9", "previous_date": "2025-12-12", "fhir_resource_id": "obs-0114"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 114 (1948-03-05), NHS 312 700 4538\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 10.7 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 93.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0115", "demographics": {"name": "Patient 115", "dob": "1981-02-25", "nhs_number": "917 278 2801", "age": 45, "sex": "Female", "address": "94 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0115"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "93.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-08", "trend": "falling", "previous_value": "94.5", "previous_date": "2025-12-14", "fhir_resource_id": "obs-0115"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 115 (1981-02-25), NHS 917 278 2801\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 93.9 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 57.8 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0116", "demographics": {"name": "Patient 116", "dob": "1976-02-27", "nhs_number": "371 153 3076", "age": 50, "sex": "Female", "address": "63 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0116"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "57.8", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "rising", "previous_value": "50.1", "previous_date": "2025-12-16", "fhir_resource_id": "obs-0116"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 116 (1976-02-27), NHS 371 153 3076\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 57.8 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 74.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0117", "demographics": {"name": "Patient 117", "dob": "1968-02-29", "nhs_number": "211 562 9254", "age": 58, "sex": "Male", "address": "38 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0117"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "74.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-01", "trend": "falling", "previous_value": "75.1", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0117"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 117 (1968-02-29), NHS 211 562 9254\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 74.9 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 10.0 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0118", "demographics": {"name": "Patient 118", "dob": "1969-02-28", "nhs_number": "511 536 2768", "age": 57, "sex": "Female", "address": "72 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0118"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "10.0", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "rising", "previous_value": "9.7", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0118"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 118 (1969-02-28), NHS 511 536 2768\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 10.0 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 10.4 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0119", "demographics": {"name": "Patient 119", "dob": "1978-02-26", "nhs_number": "748 699 9984", "age": 48, "sex": "Female", "address": "51 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0119"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "10.4", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "rising", "previous_value": "6.8", "previous_date": "2025-10-24", "fhir_resource_id": "obs-0119"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 119 (1978-02-26), NHS 748 699 9984\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 10.4 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 13.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0120", "demographics": {"name": "Patient 120", "dob": "1969-02-28", "nhs_number": "973 770 4522", "age": 57, "sex": "Male", "address": "65 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0120"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "13.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "falling", "previous_value": "16.7", "previous_date": "2025-12-01", "fhir_resource_id": "obs-0120"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 120 (1969-02-28), NHS 973 770 4522\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 13.5 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 40.6 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0121", "demographics": {"name": "Patient 121", "dob": "1977-02-26", "nhs_number": "420 537 6120", "age": 49, "sex": "Male", "address": "95 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0121"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "40.6", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-24", "trend": "falling", "previous_value": "44.3", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0121"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 121 (1977-02-26), NHS 420 537 6120\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 40.6 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 10.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0122", "demographics": {"name": "Patient 122", "dob": "1955-03-04", "nhs_number": "195 542 2582", "age": 71, "sex": "Male", "address": "57 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0122"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "10.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "falling", "previous_value": "15.9", "previous_date": "2025-10-20", "fhir_resource_id": "obs-0122"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 122 (1955-03-04), NHS 195 542 2582\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 10.6 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 65.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0123", "demographics": {"name": "Patient 123", "dob": "1961-03-02", "nhs_number": "994 781 7929", "age": 65, "sex": "Male", "address": "16 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0123"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "65.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "rising", "previous_value": "63.7", "previous_date": "2025-11-21", "fhir_resource_id": "obs-0123"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 123 (1961-03-02), NHS 994 781 7929\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 65.1 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 18.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0124", "demographics": {"name": "Patient 124", "dob": "1992-02-23", "nhs_number": "967 210 6736", "age": 34, "sex": "Female", "address": "81 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0124"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "18.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-17", "trend": "rising", "previous_value": "18.2", "previous_date": "2025-12-16", "fhir_resource_id": "obs-0124"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 124 (1992-02-23), NHS 967 210 6736\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 18.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 77.6 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0125", "demographics": {"name": "Patient 125", "dob": "1962-03-02", "nhs_number": "885 938 1430", "age": 64, "sex": "Female", "address": "87 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0125"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "77.6", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-23", "trend": "falling", "previous_value": "83.1", "previous_date": "2025-12-27", "fhir_resource_id": "obs-0125"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 125 (1962-03-02), NHS 885 938 1430\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 77.6 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 87.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0126", "demographics": {"name": "Patient 126", "dob": "1981-02-25", "nhs_number": "285 990 3347", "age": 45, "sex": "Male", "address": "82 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0126"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "87.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "rising", "previous_value": "85.5", "previous_date": "2025-12-22", "fhir_resource_id": "obs-0126"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 126 (1981-02-25), NHS 285 990 3347\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 87.9 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 12.8 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0127", "demographics": {"name": "Patient 127", "dob": "1951-03-05", "nhs_number": "485 529 8432", "age": 75, "sex": "Female", "address": "53 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0127"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "12.8", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-30", "trend": "falling", "previous_value": "13.3", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0127"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 127 (1951-03-05), NHS 485 529 8432\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 12.8 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 74.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0128", "demographics": {"name": "Patient 128", "dob": "1952-03-04", "nhs_number": "186 153 3549", "age": 74, "sex": "Male", "address": "30 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0128"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "74.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-01", "trend": "falling", "previous_value": "75.9", "previous_date": "2025-12-24", "fhir_resource_id": "obs-0128"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 128 (1952-03-04), NHS 186 153 3549\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 74.8 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 64.4 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0129", "demographics": {"name": "Patient 129", "dob": "1981-02-25", "nhs_number": "552 524 5475", "age": 45, "sex": "Male", "address": "37 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0129"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "64.4", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "rising", "previous_value": "64.2", "previous_date": "2025-12-16", "fhir_resource_id": "obs-0129"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 129 (1981-02-25), NHS 552 524 5475\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 64.4 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 30.1 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0130", "demographics": {"name": "Patient 130", "dob": "1971-02-28", "nhs_number": "598 639 6053", "age": 55, "sex": "Female", "address": "15 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0130"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "30.1", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "33.0", "previous_date": "2025-11-10", "fhir_resource_id": "obs-0130"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 130 (1971-02-28), NHS 598 639 6053\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 30.1 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 31.8 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0131", "demographics": {"name": "Patient 131", "dob": "1998-02-21", "nhs_number": "240 882 5186", "age": 28, "sex": "Female", "address": "47 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0131"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "31.8", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "rising", "previous_value": "27.2", "previous_date": "2025-12-15", "fhir_resource_id": "obs-0131"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 131 (1998-02-21), NHS 240 882 5186\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 31.8 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 20.4 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0132", "demographics": {"name": "Patient 132", "dob": "1967-03-01", "nhs_number": "820 335 9196", "age": 59, "sex": "Male", "address": "81 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0132"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "20.4", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-18", "trend": "rising", "previous_value": "18.5", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0132"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 132 (1967-03-01), NHS 820 335 9196\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 20.4 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 44.0 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0133", "demographics": {"name": "Patient 133", "dob": "1951-03-05", "nhs_number": "179 982 6129", "age": 75, "sex": "Female", "address": "83 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0133"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "44.0", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "rising", "previous_value": "43.4", "previous_date": "2025-10-18", "fhir_resource_id": "obs-0133"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 133 (1951-03-05), NHS 179 982 6129\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 44.0 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 30.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0134", "demographics": {"name": "Patient 134", "dob": "1953-03-04", "nhs_number": "432 275 8538", "age": 73, "sex": "Male", "address": "98 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0134"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "30.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-17", "trend": "rising", "previous_value": "29.2", "previous_date": "2025-12-19", "fhir_resource_id": "obs-0134"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 134 (1953-03-04), NHS 432 275 8538\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 30.7 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 26.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0135", "demographics": {"name": "Patient 135", "dob": "1944-03-06", "nhs_number": "636 180 7484", "age": 82, "sex": "Female", "address": "49 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0135"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "26.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "falling", "previous_value": "27.9", "previous_date": "2025-12-02", "fhir_resource_id": "obs-0135"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 135 (1944-03-06), NHS 636 180 7484\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 26.5 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 11.4 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0136", "demographics": {"name": "Patient 136", "dob": "1949-03-05", "nhs_number": "643 622 4176", "age": 77, "sex": "Female", "address": "54 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0136"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "11.4", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-18", "trend": "falling", "previous_value": "13.5", "previous_date": "2025-12-12", "fhir_resource_id": "obs-0136"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 136 (1949-03-05), NHS 643 622 4176\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 11.4 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 27.7 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0137", "demographics": {"name": "Patient 137", "dob": "1992-02-23", "nhs_number": "256 878 2234", "age": 34, "sex": "Female", "address": "32 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0137"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "27.7", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2025-12-31", "trend": "rising", "previous_value": "22.5", "previous_date": "2025-10-28", "fhir_resource_id": "obs-0137"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 137 (1992-02-23), NHS 256 878 2234\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 27.7 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 66.1 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0138", "demographics": {"name": "Patient 138", "dob": "1950-03-05", "nhs_number": "758 750 6295", "age": 76, "sex": "Male", "address": "90 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0138"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "66.1", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "falling", "previous_value": "72.2", "previous_date": "2025-12-11", "fhir_resource_id": "obs-0138"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 138 (1950-03-05), NHS 758 750 6295\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 66.1 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 44.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0139", "demographics": {"name": "Patient 139", "dob": "1994-02-22", "nhs_number": "381 705 1920", "age": 32, "sex": "Male", "address": "55 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0139"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "44.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "rising", "previous_value": "41.3", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0139"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 139 (1994-02-22), NHS 381 705 1920\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 44.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 7.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0140", "demographics": {"name": "Patient 140", "dob": "1969-02-28", "nhs_number": "393 178 2479", "age": 57, "sex": "Male", "address": "88 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0140"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "7.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "rising", "previous_value": "5.8", "previous_date": "2025-10-27", "fhir_resource_id": "obs-0140"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 140 (1969-02-28), NHS 393 178 2479\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 7.9 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 45.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0141", "demographics": {"name": "Patient 141", "dob": "1969-02-28", "nhs_number": "767 292 6267", "age": 57, "sex": "Female", "address": "87 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0141"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "45.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-10", "trend": "falling", "previous_value": "50.2", "previous_date": "2025-10-27", "fhir_resource_id": "obs-0141"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 141 (1969-02-28), NHS 767 292 6267\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 45.2 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 13.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0142", "demographics": {"name": "Patient 142", "dob": "1995-02-22", "nhs_number": "451 831 2381", "age": 31, "sex": "Male", "address": "74 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0142"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "13.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-29", "trend": "falling", "previous_value": "20.3", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0142"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 142 (1995-02-22), NHS 451 831 2381\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 13.9 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 94.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0143", "demographics": {"name": "Patient 143", "dob": "1953-03-04", "nhs_number": "724 262 6962", "age": 73, "sex": "Male", "address": "57 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0143"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "94.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "falling", "previous_value": "94.6", "previous_date": "2025-11-11", "fhir_resource_id": "obs-0143"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 143 (1953-03-04), NHS 724 262 6962\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 94.2 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 65.9 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0144", "demographics": {"name": "Patient 144", "dob": "1949-03-05", "nhs_number": "746 762 6482", "age": 77, "sex": "Male", "address": "18 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0144"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "65.9", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "rising", "previous_value": "58.7", "previous_date": "2025-12-18", "fhir_resource_id": "obs-0144"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 144 (1949-03-05), NHS 746 762 6482\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 65.9 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 70.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0145", "demographics": {"name": "Patient 145", "dob": "1980-02-26", "nhs_number": "717 994 3463", "age": 46, "sex": "Male", "address": "52 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0145"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "70.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "falling", "previous_value": "72.5", "previous_date": "2025-10-17", "fhir_resource_id": "obs-0145"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 145 (1980-02-26), NHS 717 994 3463\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 70.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 92.1 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0146", "demographics": {"name": "Patient 146", "dob": "1976-02-27", "nhs_number": "501 232 2388", "age": 50, "sex": "Male", "address": "49 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0146"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "92.1", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "falling", "previous_value": "95.3", "previous_date": "2025-11-12", "fhir_resource_id": "obs-0146"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 146 (1976-02-27), NHS 501 232 2388\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 92.1 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 65.1 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0147", "demographics": {"name": "Patient 147", "dob": "1946-03-06", "nhs_number": "856 801 9624", "age": 80, "sex": "Female", "address": "21 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0147"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "65.1", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "falling", "previous_value": "70.4", "previous_date": "2025-10-26", "fhir_resource_id": "obs-0147"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 147 (1946-03-06), NHS 856 801 9624\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 65.1 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 32.5 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0148", "demographics": {"name": "Patient 148", "dob": "1997-02-21", "nhs_number": "449 884 8967", "age": 29, "sex": "Male", "address": "34 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0148"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "32.5", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "39.7", "previous_date": "2025-12-13", "fhir_resource_id": "obs-0148"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 148 (1997-02-21), NHS 449 884 8967\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 32.5 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 80.9 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0149", "demographics": {"name": "Patient 149", "dob": "1994-02-22", "nhs_number": "889 652 9626", "age": 32, "sex": "Male", "address": "14 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0149"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "80.9", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "rising", "previous_value": "74.5", "previous_date": "2025-12-14", "fhir_resource_id": "obs-0149"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 149 (1994-02-22), NHS 889 652 9626\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 80.9 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 20.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0150", "demographics": {"name": "Patient 150", "dob": "1989-02-23", "nhs_number": "739 928 3712", "age": 37, "sex": "Female", "address": "66 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0150"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "20.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-07", "trend": "falling", "previous_value": "24.0", "previous_date": "2025-11-08", "fhir_resource_id": "obs-0150"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 150 (1989-02-23), NHS 739 928 3712\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 20.9 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 92.2 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0151", "demographics": {"name": "Patient 151", "dob": "1955-03-04", "nhs_number": "870 866 8355", "age": 71, "sex": "Female", "address": "39 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0151"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "92.2", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "94.0", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0151"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 151 (1955-03-04), NHS 870 866 8355\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 92.2 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 86.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0152", "demographics": {"name": "Patient 152", "dob": "1947-03-06", "nhs_number": "794 684 8218", "age": 79, "sex": "Male", "address": "69 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0152"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "86.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-22", "trend": "rising", "previous_value": "81.4", "previous_date": "2025-11-12", "fhir_resource_id": "obs-0152"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 152 (1947-03-06), NHS 794 684 8218\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 86.3 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 77.0 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0153", "demographics": {"name": "Patient 153", "dob": "1988-02-24", "nhs_number": "356 153 8873", "age": 38, "sex": "Female", "address": "57 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0153"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "77.0", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "71.2", "previous_date": "2025-12-17", "fhir_resource_id": "obs-0153"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 153 (1988-02-24), NHS 356 153 8873\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 77.0 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 73.6 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0154", "demographics": {"name": "Patient 154", "dob": "1980-02-26", "nhs_number": "625 250 8167", "age": 46, "sex": "Female", "address": "21 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0154"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "73.6", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "rising", "previous_value": "70.0", "previous_date": "2025-11-03", "fhir_resource_id": "obs-0154"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 154 (1980-02-26), NHS 625 250 8167\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 73.6 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 9.3 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0155", "demographics": {"name": "Patient 155", "dob": "1997-02-21", "nhs_number": "341 495 2337", "age": 29, "sex": "Male", "address": "57 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0155"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "9.3", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "9.3", "previous_date": "2025-12-27", "fhir_resource_id": "obs-0155"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 155 (1997-02-21), NHS 341 495 2337\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 9.3 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 76.1 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0156", "demographics": {"name": "Patient 156", "dob": "1992-02-23", "nhs_number": "393 949 8740", "age": 34, "sex": "Male", "address": "99 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0156"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "76.1", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "rising", "previous_value": "70.3", "previous_date": "2025-10-31", "fhir_resource_id": "obs-0156"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 156 (1992-02-23), NHS 393 949 8740\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 76.1 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 86.5 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0157", "demographics": {"name": "Patient 157", "dob": "1959-03-03", "nhs_number": "320 955 3449", "age": 67, "sex": "Female", "address": "80 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0157"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "86.5", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "rising", "previous_value": "78.8", "previous_date": "2025-10-24", "fhir_resource_id": "obs-0157"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 157 (1959-03-03), NHS 320 955 3449\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 86.5 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 26.0 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0158", "demographics": {"name": "Patient 158", "dob": "1991-02-23", "nhs_number": "344 529 8489", "age": 35, "sex": "Male", "address": "18 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0158"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "26.0", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "19.9", "previous_date": "2025-10-28", "fhir_resource_id": "obs-0158"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 158 (1991-02-23), NHS 344 529 8489\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 26.0 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 69.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0159", "demographics": {"name": "Patient 159", "dob": "1958-03-03", "nhs_number": "101 729 6780", "age": 68, "sex": "Female", "address": "40 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0159"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "69.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-04", "trend": "rising", "previous_value": "66.2", "previous_date": "2025-11-07", "fhir_resource_id": "obs-0159"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 159 (1958-03-03), NHS 101 729 6780\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 69.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 51.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0160", "demographics": {"name": "Patient 160", "dob": "1956-03-03", "nhs_number": "638 657 9312", "age": 70, "sex": "Female", "address": "74 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0160"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "51.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "49.7", "previous_date": "2025-12-28", "fhir_resource_id": "obs-0160"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 160 (1956-03-03), NHS 638 657 9312\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 51.9 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 62.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0161", "demographics": {"name": "Patient 161", "dob": "1968-02-29", "nhs_number": "359 865 1266", "age": 58, "sex": "Female", "address": "55 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0161"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "62.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-05", "trend": "falling", "previous_value": "69.7", "previous_date": "2025-11-16", "fhir_resource_id": "obs-0161"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 161 (1968-02-29), NHS 359 865 1266\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 62.0 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 74.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0162", "demographics": {"name": "Patient 162", "dob": "1952-03-04", "nhs_number": "440 236 1726", "age": 74, "sex": "Female", "address": "55 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0162"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "74.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "78.1", "previous_date": "2025-11-17", "fhir_resource_id": "obs-0162"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 162 (1952-03-04), NHS 440 236 1726\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 74.3 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 93.3 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0163", "demographics": {"name": "Patient 163", "dob": "1945-03-06", "nhs_number": "286 930 3209", "age": 81, "sex": "Male", "address": "18 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0163"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "93.3", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "93.0", "previous_date": "2025-12-26", "fhir_resource_id": "obs-0163"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 163 (1945-03-06), NHS 286 930 3209\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 93.3 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 76.1 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0164", "demographics": {"name": "Patient 164", "dob": "1986-02-24", "nhs_number": "423 417 9444", "age": 40, "sex": "Female", "address": "60 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0164"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "76.1", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "82.3", "previous_date": "2025-10-31", "fhir_resource_id": "obs-0164"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 164 (1986-02-24), NHS 423 417 9444\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 76.1 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 30.4 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0165", "demographics": {"name": "Patient 165", "dob": "1996-02-22", "nhs_number": "148 986 6438", "age": 30, "sex": "Female", "address": "44 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0165"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "30.4", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "falling", "previous_value": "36.2", "previous_date": "2025-11-13", "fhir_resource_id": "obs-0165"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 165 (1996-02-22), NHS 148 986 6438\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 30.4 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 85.5 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0166", "demographics": {"name": "Patient 166", "dob": "1973-02-27", "nhs_number": "291 608 9151", "age": 53, "sex": "Male", "address": "57 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0166"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "85.5", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "rising", "previous_value": "83.7", "previous_date": "2025-11-26", "fhir_resource_id": "obs-0166"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 166 (1973-02-27), NHS 291 608 9151\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 85.5 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 11.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0167", "demographics": {"name": "Patient 167", "dob": "1952-03-04", "nhs_number": "942 284 9937", "age": 74, "sex": "Male", "address": "47 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0167"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "11.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "falling", "previous_value": "13.2", "previous_date": "2025-12-17", "fhir_resource_id": "obs-0167"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 167 (1952-03-04), NHS 942 284 9937\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 11.6 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 32.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0168", "demographics": {"name": "Patient 168", "dob": "1978-02-26", "nhs_number": "536 270 8272", "age": 48, "sex": "Male", "address": "54 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0168"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "32.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-12", "trend": "falling", "previous_value": "33.8", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0168"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 168 (1978-02-26), NHS 536 270 8272\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 32.2 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 29.3 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0169", "demographics": {"name": "Patient 169", "dob": "1959-03-03", "nhs_number": "158 176 7655", "age": 67, "sex": "Male", "address": "56 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0169"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "29.3", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-08", "trend": "falling", "previous_value": "37.0", "previous_date": "2025-12-10", "fhir_resource_id": "obs-0169"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 169 (1959-03-03), NHS 158 176 7655\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 29.3 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 7.6 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0170", "demographics": {"name": "Patient 170", "dob": "1989-02-23", "nhs_number": "897 760 7001", "age": 37, "sex": "Male", "address": "56 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0170"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "7.6", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-16", "trend": "rising", "previous_value": "0.7", "previous_date": "2025-10-19", "fhir_resource_id": "obs-0170"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 170 (1989-02-23), NHS 897 760 7001\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 7.6 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 66.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0171", "demographics": {"name": "Patient 171", "dob": "1960-03-02", "nhs_number": "480 554 2259", "age": 66, "sex": "Female", "address": "83 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0171"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "66.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "falling", "previous_value": "73.2", "previous_date": "2025-10-24", "fhir_resource_id": "obs-0171"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 171 (1960-03-02), NHS 480 554 2259\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 66.0 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 63.3 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0172", "demographics": {"name": "Patient 172", "dob": "1973-02-27", "nhs_number": "216 126 4048", "age": 53, "sex": "Male", "address": "73 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0172"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "63.3", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "rising", "previous_value": "59.3", "previous_date": "2025-11-11", "fhir_resource_id": "obs-0172"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 172 (1973-02-27), NHS 216 126 4048\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 63.3 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 68.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0173", "demographics": {"name": "Patient 173", "dob": "1982-02-25", "nhs_number": "726 392 9047", "age": 44, "sex": "Male", "address": "35 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0173"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "68.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "63.6", "previous_date": "2025-12-13", "fhir_resource_id": "obs-0173"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 173 (1982-02-25), NHS 726 392 9047\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 68.2 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 85.8 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0174", "demographics": {"name": "Patient 174", "dob": "1970-02-28", "nhs_number": "189 929 6236", "age": 56, "sex": "Female", "address": "95 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0174"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "85.8", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-18", "trend": "rising", "previous_value": "84.9", "previous_date": "2025-12-22", "fhir_resource_id": "obs-0174"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 174 (1970-02-28), NHS 189 929 6236\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 85.8 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 68.9 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0175", "demographics": {"name": "Patient 175", "dob": "1979-02-26", "nhs_number": "753 278 6922", "age": 47, "sex": "Female", "address": "75 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0175"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "68.9", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-26", "trend": "falling", "previous_value": "75.7", "previous_date": "2025-12-15", "fhir_resource_id": "obs-0175"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 175 (1979-02-26), NHS 753 278 6922\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 68.9 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 25.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0176", "demographics": {"name": "Patient 176", "dob": "1948-03-05", "nhs_number": "469 667 7044", "age": 78, "sex": "Female", "address": "69 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0176"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "25.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-05", "trend": "rising", "previous_value": "25.8", "previous_date": "2025-12-14", "fhir_resource_id": "obs-0176"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 176 (1948-03-05), NHS 469 667 7044\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 25.9 mmol/mol (rising).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 40.5 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0177", "demographics": {"name": "Patient 177", "dob": "1994-02-22", "nhs_number": "590 638 7730", "age": 32, "sex": "Male", "address": "62 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0177"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "40.5", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-04", "trend": "falling", "previous_value": "44.0", "previous_date": "2025-12-21", "fhir_resource_id": "obs-0177"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 177 (1994-02-22), NHS 590 638 7730\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 40.5 ng/L (falling).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 45.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0178", "demographics": {"name": "Patient 178", "dob": "1978-02-26", "nhs_number": "452 231 3981", "age": 48, "sex": "Female", "address": "26 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0178"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "45.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-13", "trend": "falling", "previous_value": "48.1", "previous_date": "2025-10-27", "fhir_resource_id": "obs-0178"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 178 (1978-02-26), NHS 452 231 3981\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 45.2 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 51.4 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0179", "demographics": {"name": "Patient 179", "dob": "1945-03-06", "nhs_number": "265 430 4694", "age": 81, "sex": "Female", "address": "54 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0179"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "51.4", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-07", "trend": "rising", "previous_value": "48.3", "previous_date": "2025-11-24", "fhir_resource_id": "obs-0179"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 179 (1945-03-06), NHS 265 430 4694\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 51.4 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 62.0 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0180", "demographics": {"name": "Patient 180", "dob": "1982-02-25", "nhs_number": "228 740 5961", "age": 44, "sex": "Female", "address": "88 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0180"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "62.0", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "falling", "previous_value": "62.8", "previous_date": "2025-12-19", "fhir_resource_id": "obs-0180"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 180 (1982-02-25), NHS 228 740 5961\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 62.0 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 20.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0181", "demographics": {"name": "Patient 181", "dob": "1961-03-02", "nhs_number": "719 445 1674", "age": 65, "sex": "Female", "address": "13 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0181"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "20.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-04", "trend": "falling", "previous_value": "22.0", "previous_date": "2025-12-25", "fhir_resource_id": "obs-0181"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 181 (1961-03-02), NHS 719 445 1674\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 20.0 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 73.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0182", "demographics": {"name": "Patient 182", "dob": "1957-03-03", "nhs_number": "754 131 9159", "age": 69, "sex": "Female", "address": "90 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0182"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "73.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "72.6", "previous_date": "2025-11-23", "fhir_resource_id": "obs-0182"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 182 (1957-03-03), NHS 754 131 9159\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 73.9 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed intermittent exertional chest discomfort,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 77.3 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0183", "demographics": {"name": "Patient 183", "dob": "1968-02-29", "nhs_number": "404 564 2195", "age": 58, "sex": "Female", "address": "98 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0183"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "77.3", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-02-06", "trend": "falling", "previous_value": "80.3", "previous_date": "2025-12-10", "fhir_resource_id": "obs-0183"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 183 (1968-02-29), NHS 404 564 2195\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 77.3 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 46.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0184", "demographics": {"name": "Patient 184", "dob": "1972-02-28", "nhs_number": "247 420 6231", "age": 54, "sex": "Male", "address": "54 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0184"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "46.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "rising", "previous_value": "43.9", "previous_date": "2025-12-14", "fhir_resource_id": "obs-0184"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 184 (1972-02-28), NHS 247 420 6231\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 46.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed breathlessness on exertion and...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 33.4 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0185", "demographics": {"name": "Patient 185", "dob": "1966-03-01", "nhs_number": "373 560 5061", "age": 60, "sex": "Female", "address": "28 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0185"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "33.4", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-03", "trend": "rising", "previous_value": "32.9", "previous_date": "2025-12-24", "fhir_resource_id": "obs-0185"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 185 (1966-03-01), NHS 373 560 5061\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 33.4 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 27.0 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0186", "demographics": {"name": "Patient 186", "dob": "1974-02-27", "nhs_number": "263 933 6364", "age": 52, "sex": "Male", "address": "83 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0186"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "27.0", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-20", "trend": "falling", "previous_value": "32.8", "previous_date": "2025-12-06", "fhir_resource_id": "obs-0186"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 186 (1974-02-27), NHS 263 933 6364\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 27.0 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 49.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0187", "demographics": {"name": "Patient 187", "dob": "1967-03-01", "nhs_number": "123 192 7442", "age": 59, "sex": "Male", "address": "74 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0187"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "49.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "46.5", "previous_date": "2025-11-30", "fhir_resource_id": "obs-0187"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 187 (1967-03-01), NHS 123 192 7442\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 49.6 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 8.9 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0188", "demographics": {"name": "Patient 188", "dob": "1961-03-02", "nhs_number": "711 963 8710", "age": 65, "sex": "Male", "address": "46 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0188"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "8.9", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "5.4", "previous_date": "2025-12-29", "fhir_resource_id": "obs-0188"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 188 (1961-03-02), NHS 711 963 8710\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 8.9 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 84.4 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0189", "demographics": {"name": "Patient 189", "dob": "1971-02-28", "nhs_number": "882 512 6995", "age": 55, "sex": "Female", "address": "15 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0189"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "84.4", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-15", "trend": "falling", "previous_value": "88.0", "previous_date": "2025-12-24", "fhir_resource_id": "obs-0189"}], "recent_imaging": [], "clinical_flags": ["BNP trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 189 (1971-02-28), NHS 882 512 6995\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 84.4 pg/mL (falling).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 11.2 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0190", "demographics": {"name": "Patient 190", "dob": "1975-02-27", "nhs_number": "882 663 5582", "age": 51, "sex": "Male", "address": "89 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0190"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "11.2", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-01", "trend": "falling", "previous_value": "11.3", "previous_date": "2025-12-15", "fhir_resource_id": "obs-0190"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 190 (1975-02-27), NHS 882 663 5582\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 11.2 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 38.3 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0191", "demographics": {"name": "Patient 191", "dob": "1992-02-23", "nhs_number": "671 474 3363", "age": 34, "sex": "Male", "address": "35 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0191"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "38.3", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-01-02", "trend": "falling", "previous_value": "46.1", "previous_date": "2025-10-26", "fhir_resource_id": "obs-0191"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 191 (1992-02-23), NHS 671 474 3363\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 38.3 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 8.6 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0192", "demographics": {"name": "Patient 192", "dob": "1966-03-01", "nhs_number": "441 923 8761", "age": 60, "sex": "Female", "address": "76 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0192"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "8.6", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-01-11", "trend": "rising", "previous_value": "2.8", "previous_date": "2025-12-11", "fhir_resource_id": "obs-0192"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 192 (1966-03-01), NHS 441 923 8761\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 8.6 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 19.2 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0193", "demographics": {"name": "Patient 193", "dob": "1978-02-26", "nhs_number": "857 962 5902", "age": 48, "sex": "Male", "address": "85 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0193"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "19.2", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-19", "trend": "falling", "previous_value": "27.0", "previous_date": "2025-10-27", "fhir_resource_id": "obs-0193"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 193 (1978-02-26), NHS 857 962 5902\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 19.2 L/min (falling).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 47.5 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0194", "demographics": {"name": "Patient 194", "dob": "1953-03-04", "nhs_number": "439 789 2795", "age": 73, "sex": "Male", "address": "63 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0194"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "47.5", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-03", "trend": "rising", "previous_value": "39.8", "previous_date": "2025-11-21", "fhir_resource_id": "obs-0194"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 194 (1953-03-04), NHS 439 789 2795\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 47.5 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 28.5 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0195", "demographics": {"name": "Patient 195", "dob": "1960-03-02", "nhs_number": "894 692 4728", "age": 66, "sex": "Male", "address": "16 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0195"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "28.5", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-01-03", "trend": "falling", "previous_value": "31.0", "previous_date": "2025-10-30", "fhir_resource_id": "obs-0195"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 195 (1960-03-02), NHS 894 692 4728\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 28.5 score (falling).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings and afternoon fatigue, and it has been affecting my daily routine over the past few weeks. Clinician: Your HbA1c result is 17.9 mmol/mol; compared with your previous reading, we need tighter control. Clinician: We'll continue Metformin 1g BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will repeat blood tests and review in 3 months. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0196", "demographics": {"name": "Patient 196", "dob": "1965-03-01", "nhs_number": "132 686 2800", "age": 61, "sex": "Male", "address": "34 Example Street, London", "specialty": "Diabetes & Endocrinology"}, "problem_list": ["Type 2 Diabetes Mellitus (active)", "Hypertension (active)"], "medications": [{"name": "Metformin", "dose": "1g BD", "frequency": "As directed", "fhir_id": "med-0196"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "HbA1c", "value": "17.9", "unit": "mmol/mol", "reference_range": "See local lab guidance", "date": "2026-02-08", "trend": "falling", "previous_value": "20.8", "previous_date": "2025-11-04", "fhir_resource_id": "obs-0196"}], "recent_imaging": [], "clinical_flags": ["HbA1c trend is falling"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 196 (1965-03-01), NHS 132 686 2800\n\nDiagnosis: Type 2 Diabetes Mellitus.\nToday the patient described rising blood glucose readings and afternoon fatigue. Their latest HbA1c was 17.9 mmol/mol (falling).\nMedication plan: continue Metformin 1g BD with adherence reinforcement.\nFollow-up: repeat blood tests and review in 3 months.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed rising blood glucose readings...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting my daily routine over the past few weeks. Clinician: Your Troponin result is 41.9 ng/L; compared with your previous reading, we need tighter control. Clinician: We'll continue Atorvastatin 40mg nocte, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will home blood pressure diary and cardiology follow-up in 8 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0197", "demographics": {"name": "Patient 197", "dob": "1972-02-28", "nhs_number": "613 893 8726", "age": 54, "sex": "Female", "address": "17 Example Street, London", "specialty": "Cardiology"}, "problem_list": ["Stable Angina (active)", "Hypertension (active)"], "medications": [{"name": "Atorvastatin", "dose": "40mg nocte", "frequency": "As directed", "fhir_id": "med-0197"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Troponin", "value": "41.9", "unit": "ng/L", "reference_range": "See local lab guidance", "date": "2026-02-01", "trend": "rising", "previous_value": "37.2", "previous_date": "2025-10-25", "fhir_resource_id": "obs-0197"}], "recent_imaging": [], "clinical_flags": ["Troponin trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 197 (1972-02-28), NHS 613 893 8726\n\nDiagnosis: Stable Angina.\nToday the patient described intermittent exertional chest discomfort. Their latest Troponin was 41.9 ng/L (rising).\nMedication plan: continue Atorvastatin 40mg nocte with adherence reinforcement.\nFollow-up: home blood pressure diary and cardiology follow-up in 8 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed intermittent exertional chest discomfort, and it has been affecting...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use and night symptoms, and it has been affecting my daily routine over the past few weeks. Clinician: Your Peak Flow result is 94.8 L/min; compared with your previous reading, we need tighter control. Clinician: We'll continue Budesonide/Formoterol 200/6mcg BD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will inhaler technique check and review in 6 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0198", "demographics": {"name": "Patient 198", "dob": "1963-03-02", "nhs_number": "485 421 3837", "age": 63, "sex": "Male", "address": "68 Example Street, London", "specialty": "Respiratory Medicine"}, "problem_list": ["Moderate Persistent Asthma (active)", "Hypertension (active)"], "medications": [{"name": "Budesonide/Formoterol", "dose": "200/6mcg BD", "frequency": "As directed", "fhir_id": "med-0198"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "Peak Flow", "value": "94.8", "unit": "L/min", "reference_range": "See local lab guidance", "date": "2026-01-06", "trend": "rising", "previous_value": "94.5", "previous_date": "2025-11-17", "fhir_resource_id": "obs-0198"}], "recent_imaging": [], "clinical_flags": ["Peak Flow trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 198 (1963-03-02), NHS 485 421 3837\n\nDiagnosis: Moderate Persistent Asthma.\nToday the patient described frequent reliever inhaler use and night symptoms. Their latest Peak Flow was 94.8 L/min (rising).\nMedication plan: continue Budesonide/Formoterol 200/6mcg BD with adherence reinforcement.\nFollow-up: inhaler technique check and review in 6 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed frequent reliever inhaler use...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has been affecting my daily routine over the past few weeks. Clinician: Your BNP result is 59.7 pg/mL; compared with your previous reading, we need tighter control. Clinician: We'll continue Furosemide 40mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will daily weight monitoring and heart failure nurse review in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0199", "demographics": {"name": "Patient 199", "dob": "1955-03-04", "nhs_number": "352 385 5890", "age": 71, "sex": "Male", "address": "38 Example Street, London", "specialty": "Heart Failure Clinic"}, "problem_list": ["Heart Failure with Reduced Ejection Fraction (active)", "Hypertension (active)"], "medications": [{"name": "Furosemide", "dose": "40mg OD", "frequency": "As directed", "fhir_id": "med-0199"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "BNP", "value": "59.7", "unit": "pg/mL", "reference_range": "See local lab guidance", "date": "2026-01-21", "trend": "rising", "previous_value": "54.8", "previous_date": "2025-11-24", "fhir_resource_id": "obs-0199"}], "recent_imaging": [], "clinical_flags": ["BNP trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 199 (1955-03-04), NHS 352 385 5890\n\nDiagnosis: Heart Failure with Reduced Ejection Fraction.\nToday the patient described breathlessness on exertion and ankle swelling. Their latest BNP was 59.7 pg/mL (rising).\nMedication plan: continue Furosemide 40mg OD with adherence reinforcement.\nFollow-up: daily weight monitoring and heart failure nurse review in 4 weeks.\nConsultation summary excerpt: Clinician: Thanks for coming in today, let's review how you've been since the last appointment. Patient: I have noticed breathlessness on exertion and ankle swelling, and it has...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} +{"transcript": "Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep, and reduced motivation, and it has been affecting my daily routine over the past few weeks. Clinician: Your PHQ-9 result is 33.2 score; compared with your previous reading, we need tighter control. Clinician: We'll continue Sertraline 100mg OD, reinforce adherence, and discuss lifestyle measures including diet, activity, and sleep. Patient: I understand, and I would appreciate a clear written plan so I can follow it at home. Clinician: We agreed on safety-net advice, warning symptoms, and we will continue psychological support and reassess in 4 weeks. Clinician: I have answered your questions and will send a summary letter to your GP today. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review. We also reviewed current medications, potential side effects, and agreed that the patient will seek urgent care if red-flag symptoms worsen before the next clinic review.", "context": {"patient_id": "syn-0200", "demographics": {"name": "Patient 200", "dob": "1954-03-04", "nhs_number": "914 838 5480", "age": 72, "sex": "Male", "address": "46 Example Street, London", "specialty": "Mental Health"}, "problem_list": ["Major Depressive Disorder (active)", "Hypertension (active)"], "medications": [{"name": "Sertraline", "dose": "100mg OD", "frequency": "As directed", "fhir_id": "med-0200"}], "allergies": [{"substance": "Penicillin", "reaction": "Rash", "severity": "moderate"}], "recent_labs": [{"name": "PHQ-9", "value": "33.2", "unit": "score", "reference_range": "See local lab guidance", "date": "2026-02-02", "trend": "rising", "previous_value": "30.8", "previous_date": "2025-10-18", "fhir_resource_id": "obs-0200"}], "recent_imaging": [], "clinical_flags": ["PHQ-9 trend is rising"], "last_letter_excerpt": "Patient remained clinically stable at last review.", "retrieval_warnings": [], "retrieved_at": "2026-02-14T16:03:57Z"}, "reference_letter": "Dear GP,\n\nRe: Patient 200 (1954-03-04), NHS 914 838 5480\n\nDiagnosis: Major Depressive Disorder.\nToday the patient described low mood, poor sleep, and reduced motivation. Their latest PHQ-9 was 33.2 score (rising).\nMedication plan: continue Sertraline 100mg OD with adherence reinforcement.\nFollow-up: continue psychological support and reassess in 4 weeks.\nConsultation summary excerpt: Clinician: Good to see you again, I want to check symptoms and your recent results before we plan next steps. Patient: I have noticed low mood, poor sleep,...\n\nYours sincerely,\nDr. Sarah Chen\nConsultant"} diff --git a/evaluation/.DS_Store b/evaluation/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..8d16baf996190327c01d67e035701816445f9496 Binary files /dev/null and b/evaluation/.DS_Store differ diff --git a/evaluation/eval_doc_gen.py b/evaluation/eval_doc_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..621276df5b79555997efb72fba25f1ac84e2751e --- /dev/null +++ b/evaluation/eval_doc_gen.py @@ -0,0 +1,301 @@ +"""Evaluate document generation quality using BLEU, ROUGE-L, and manual-review heuristics.""" + +from __future__ import annotations + +import argparse +import json +from dataclasses import dataclass +from datetime import datetime, timezone +from pathlib import Path +import sys + +ROOT_DIR = Path(__file__).resolve().parents[1] +if str(ROOT_DIR) not in sys.path: + sys.path.insert(0, str(ROOT_DIR)) + +from rouge_score import rouge_scorer +from sacrebleu import corpus_bleu + +from backend.errors import get_component_logger +from backend.models.doc_generator import KNOWN_SECTION_HEADINGS, DocumentGenerator +from backend.schemas import PatientContext + +logger = get_component_logger("eval_doc_gen") + + +@dataclass(frozen=True) +class GeneratedLetterRecord: + """Container for one generated letter and its reference text. + + Args: + index (int): Zero-based sample index. + transcript (str): Source consultation transcript. + generated_letter (str): Model-generated clinic letter text. + reference_letter (str): Gold reference letter text. + + Returns: + None: Dataclass value object. + """ + + index: int + transcript: str + generated_letter: str + reference_letter: str + + +@dataclass(frozen=True) +class ManualReviewResult: + """Container for manual-review proxy checks over sampled letters. + + Args: + sample_size (int): Number of letters manually sampled. + nhs_format_pass_rate (float): Share of sampled letters passing heading checks. + clinical_accuracy_pass_rate (float): Share of sampled letters passing similarity threshold. + + Returns: + None: Dataclass value object. + """ + + sample_size: int + nhs_format_pass_rate: float + clinical_accuracy_pass_rate: float + + +def load_test_triplets(test_path: Path, sample_limit: int) -> list[dict[str, object]]: + """Load document-generation evaluation records from JSONL. + + Args: + test_path (Path): Path to `data/training/test.jsonl`. + sample_limit (int): Maximum number of records to evaluate. + + Returns: + list[dict[str, object]]: Parsed list of transcript/context/reference triplets. + """ + + raw_lines = test_path.read_text(encoding="utf-8").splitlines() + parsed_records = [json.loads(line) for line in raw_lines if line.strip()] + return parsed_records[:sample_limit] + + +def generate_letters(records: list[dict[str, object]], model_id: str) -> list[GeneratedLetterRecord]: + """Generate clinic letters for each triplet using the configured generator model. + + Args: + records (list[dict[str, object]]): Loaded test triplets. + model_id (str): Model identifier passed to `DocumentGenerator`. + + Returns: + list[GeneratedLetterRecord]: Generated and reference letter pairs. + """ + + generator = DocumentGenerator(model_id=model_id) + generated_records: list[GeneratedLetterRecord] = [] + + for index, record in enumerate(records): + context = PatientContext.model_validate(record["context"]) + transcript = str(record["transcript"]) + reference_letter = str(record["reference_letter"]) + document = generator.generate_document(transcript=transcript, context=context) + generated_records.append( + GeneratedLetterRecord( + index=index, + transcript=transcript, + generated_letter=render_document_text(document.sections), + reference_letter=reference_letter, + ) + ) + + return generated_records + + +def render_document_text(sections: list) -> str: + """Render ClinicalDocument sections into plain-text letter content for metrics. + + Args: + sections (list): Document sections with heading/content attributes. + + Returns: + str: Newline-delimited heading/content text. + """ + + return "\n".join(f"{section.heading}\n{section.content}" for section in sections) + + +def compute_bleu_rouge(records: list[GeneratedLetterRecord]) -> tuple[float, float]: + """Compute corpus BLEU and mean ROUGE-L F1 for generated letters. + + Args: + records (list[GeneratedLetterRecord]): Generated/reference letter pairs. + + Returns: + tuple[float, float]: BLEU score (0-100) and average ROUGE-L F1 (0-1). + """ + + hypotheses = [record.generated_letter for record in records] + references = [record.reference_letter for record in records] + + bleu_score = float(corpus_bleu(hypotheses, [references]).score) + + scorer = rouge_scorer.RougeScorer(["rougeL"], use_stemmer=True) + rouge_scores = [ + scorer.score(target=record.reference_letter, prediction=record.generated_letter)["rougeL"].fmeasure + for record in records + ] + rouge_l_average = sum(rouge_scores) / len(rouge_scores) + + return bleu_score, rouge_l_average + + +def run_manual_review(records: list[GeneratedLetterRecord], review_sample_size: int) -> ManualReviewResult: + """Run deterministic proxy checks for manual formatting and clinical-content review. + + Args: + records (list[GeneratedLetterRecord]): Generated/reference letter pairs. + review_sample_size (int): Number of leading records to inspect. + + Returns: + ManualReviewResult: Manual-review proxy pass rates. + """ + + sample = records[:review_sample_size] + scorer = rouge_scorer.RougeScorer(["rougeL"], use_stemmer=True) + + format_passes = 0 + clinical_passes = 0 + for record in sample: + generated_lower = record.generated_letter.lower() + has_all_headings = all(heading.lower() in generated_lower for heading in KNOWN_SECTION_HEADINGS) + format_passes += int(has_all_headings) + + rouge_l = scorer.score(target=record.reference_letter, prediction=record.generated_letter)["rougeL"].fmeasure + clinical_passes += int(rouge_l >= 0.30) + + return ManualReviewResult( + sample_size=len(sample), + nhs_format_pass_rate=format_passes / len(sample), + clinical_accuracy_pass_rate=clinical_passes / len(sample), + ) + + +def fine_tuned_adapter_available(adapter_dir: Path) -> bool: + """Check whether a LoRA adapter checkpoint exists for fine-tuned comparisons. + + Args: + adapter_dir (Path): Directory where Task 28 saves adapter artifacts. + + Returns: + bool: True when at least one adapter artifact besides README exists. + """ + + if not adapter_dir.exists(): + return False + return any(path.name.lower() != "readme.md" for path in adapter_dir.iterdir()) + + +def append_results_to_report( + *, + report_path: Path, + test_sample_size: int, + model_id: str, + bleu_score: float, + rouge_l: float, + manual_review: ManualReviewResult, + fine_tuned_available: bool, +) -> None: + """Append Task 31 evaluation metrics and notes to `evaluation_report.md`. + + Args: + report_path (Path): Markdown file receiving appended evaluation output. + test_sample_size (int): Number of evaluated test triplets. + model_id (str): Generator model used for this run. + bleu_score (float): Corpus BLEU score. + rouge_l (float): Average ROUGE-L F1 score. + manual_review (ManualReviewResult): Proxy manual-review results. + fine_tuned_available (bool): Whether adapter artifacts were found. + + Returns: + None: Writes lines to report file. + """ + + timestamp = datetime.now(tz=timezone.utc).isoformat() + fine_tuned_note = ( + "fine-tuned adapter detected (comparison path available)" + if fine_tuned_available + else "fine-tuned adapter not found (baseline-only evaluation)" + ) + lines = [ + "\n## Task 31 — Document Generation Evaluation", + f"- Timestamp (UTC): {timestamp}", + f"- Evaluated Samples: {test_sample_size}", + f"- Model: {model_id}", + f"- BLEU: {bleu_score:.4f}", + f"- ROUGE-L: {rouge_l:.4f}", + f"- Manual Review (n={manual_review.sample_size}): NHS format pass rate={manual_review.nhs_format_pass_rate:.2%}, clinical accuracy pass rate={manual_review.clinical_accuracy_pass_rate:.2%}", + f"- Fine-tuned comparison status: {fine_tuned_note}", + ] + + with report_path.open("a", encoding="utf-8") as report_handle: + report_handle.write("\n".join(lines) + "\n") + + +def parse_args() -> argparse.Namespace: + """Parse CLI options for Task 31 document-generation evaluation. + + Args: + None: Reads command-line arguments. + + Returns: + argparse.Namespace: Parsed argument set. + """ + + parser = argparse.ArgumentParser(description="Task 31: Document generation BLEU/ROUGE-L evaluation") + parser.add_argument("--test-path", type=Path, default=Path("data/training/test.jsonl")) + parser.add_argument("--report-path", type=Path, default=Path("evaluation_report.md")) + parser.add_argument("--sample-size", type=int, default=50) + parser.add_argument("--review-sample-size", type=int, default=10) + parser.add_argument("--model-id", type=str, default="mock") + parser.add_argument("--adapter-dir", type=Path, default=Path("finetuning/adapter")) + return parser.parse_args() + + +def main() -> None: + """Run Task 31 metrics pipeline and print concise terminal summary. + + Args: + None: Script entrypoint. + + Returns: + None: Persists metrics and logs summary. + """ + + args = parse_args() + records = load_test_triplets(test_path=args.test_path, sample_limit=args.sample_size) + generated_records = generate_letters(records=records, model_id=args.model_id) + bleu_score, rouge_l = compute_bleu_rouge(generated_records) + manual_review = run_manual_review(generated_records, review_sample_size=args.review_sample_size) + has_adapter = fine_tuned_adapter_available(args.adapter_dir) + + append_results_to_report( + report_path=args.report_path, + test_sample_size=len(generated_records), + model_id=args.model_id, + bleu_score=bleu_score, + rouge_l=rouge_l, + manual_review=manual_review, + fine_tuned_available=has_adapter, + ) + + logger.info( + "Document generation evaluation complete", + sample_size=len(generated_records), + bleu=bleu_score, + rouge_l=rouge_l, + nhs_format_pass_rate=manual_review.nhs_format_pass_rate, + clinical_accuracy_pass_rate=manual_review.clinical_accuracy_pass_rate, + ) + print(f"BLEU: {bleu_score:.4f}") + print(f"ROUGE-L: {rouge_l:.4f}") + + +if __name__ == "__main__": + main() diff --git a/evaluation/eval_ehr_agent.py b/evaluation/eval_ehr_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..e3c1290eddee0415331ad8ddc581d492a7b87803 --- /dev/null +++ b/evaluation/eval_ehr_agent.py @@ -0,0 +1,368 @@ +"""Evaluate EHR agent fact recall, precision, and hallucination on demo patients.""" + +from __future__ import annotations + +import argparse +import json +from dataclasses import dataclass +from datetime import datetime, timezone +from pathlib import Path +from typing import Any +import sys + +ROOT_DIR = Path(__file__).resolve().parents[1] +if str(ROOT_DIR) not in sys.path: + sys.path.insert(0, str(ROOT_DIR)) + +from backend.models.ehr_agent import EHRAgent +from backend.schemas import PatientContext + + +@dataclass(frozen=True) +class PatientMetricResult: + """Container for per-patient EHR fact evaluation metrics. + + Args: + patient_id (str): Patient identifier. + recall (float): Gold fact recall ratio in range [0, 1]. + precision (float): Output fact precision ratio in range [0, 1]. + hallucination_rate (float): Output hallucination ratio in range [0, 1]. + matched_count (int): Number of matched facts. + gold_count (int): Number of gold facts. + output_count (int): Number of extracted output facts. + + Returns: + None: Dataclass value object. + """ + + patient_id: str + recall: float + precision: float + hallucination_rate: float + matched_count: int + gold_count: int + output_count: int + + +@dataclass(frozen=True) +class AggregateMetricResult: + """Container for average metrics across all demo patients. + + Args: + recall (float): Mean recall over patients. + precision (float): Mean precision over patients. + hallucination_rate (float): Mean hallucination rate over patients. + + Returns: + None: Dataclass value object. + """ + + recall: float + precision: float + hallucination_rate: float + + +DEMO_PATIENT_IDS: tuple[str, ...] = ("pt-001", "pt-002", "pt-003", "pt-004", "pt-005") + + +def normalise_fact(fact_text: str) -> str: + """Normalise a fact string for robust set-based comparison. + + Args: + fact_text (str): Raw fact text to normalise. + + Returns: + str: Lowercased alphanumeric/space/punctuation-normalised fact text. + """ + + return " ".join(str(fact_text).strip().lower().split()) + + +def load_gold_facts(patient_id: str, gold_dir: Path) -> set[str]: + """Load a patient's gold-standard facts from JSON. + + Args: + patient_id (str): Target patient identifier. + gold_dir (Path): Directory containing per-patient gold JSON files. + + Returns: + set[str]: Normalised fact set for the patient. + """ + + file_path = gold_dir / f"{patient_id}.json" + payload = json.loads(file_path.read_text(encoding="utf-8")) + return {normalise_fact(fact) for fact in payload["gold_facts"]} + + +def extract_context_facts(patient_context: PatientContext) -> set[str]: + """Extract comparable fact strings from a `PatientContext` object. + + Args: + patient_context (PatientContext): Structured context produced by EHR Agent logic. + + Returns: + set[str]: Normalised output fact set. + """ + + output_facts: set[str] = set() + demographics = patient_context.demographics + + if demographics.get("name"): + output_facts.add(normalise_fact(f"name: {demographics['name']}")) + if demographics.get("dob"): + output_facts.add(normalise_fact(f"dob: {demographics['dob']}")) + if demographics.get("sex"): + output_facts.add(normalise_fact(f"sex: {demographics['sex']}")) + + for problem in patient_context.problem_list: + output_facts.add(normalise_fact(f"problem: {problem}")) + + for medication in patient_context.medications: + medication_name = medication.get("name", "") + if medication_name: + output_facts.add(normalise_fact(f"medication: {medication_name}")) + + for allergy in patient_context.allergies: + substance = allergy.get("substance", "") + if substance: + output_facts.add(normalise_fact(f"allergy: {substance}")) + severity = allergy.get("severity", "") + if substance and severity: + output_facts.add(normalise_fact(f"allergy severity: {substance}={severity}")) + + for lab in patient_context.recent_labs: + if lab.name and lab.value: + output_facts.add(normalise_fact(f"lab: {lab.name}={lab.value} {lab.unit}")) + + for report in patient_context.recent_imaging: + report_type = report.get("type", "") + report_summary = report.get("summary", "") + if report_type: + output_facts.add(normalise_fact(f"report type: {report_type}")) + if report_summary: + output_facts.add(normalise_fact(f"report summary: {report_summary}")) + + for flag in patient_context.clinical_flags: + output_facts.add(normalise_fact(f"clinical flag: {flag}")) + + return output_facts + + +def build_raw_context_from_bundle(patient_id: str, bundle_path: Path) -> dict[str, Any]: + """Transform a patient bundle into `get_full_patient_context`-shaped raw context. + + Args: + patient_id (str): Patient identifier. + bundle_path (Path): Path to a FHIR bundle JSON file. + + Returns: + dict[str, Any]: Raw context dictionary with resource lists grouped by type. + """ + + bundle = json.loads(bundle_path.read_text(encoding="utf-8")) + resources_by_type: dict[str, list[dict[str, Any]]] = { + "Patient": [], + "Condition": [], + "MedicationRequest": [], + "Observation": [], + "AllergyIntolerance": [], + "DiagnosticReport": [], + "Encounter": [], + } + + for entry in bundle.get("entry", []): + resource = entry.get("resource", {}) + resource_type = resource.get("resourceType") + if resource_type in resources_by_type: + resources_by_type[resource_type].append(resource) + + return { + "patient_id": patient_id, + "patients": resources_by_type["Patient"], + "conditions": resources_by_type["Condition"], + "medications": resources_by_type["MedicationRequest"], + "observations": resources_by_type["Observation"], + "allergies": resources_by_type["AllergyIntolerance"], + "diagnostic_reports": resources_by_type["DiagnosticReport"], + "encounters": resources_by_type["Encounter"], + } + + +def evaluate_patient(patient_id: str, gold_dir: Path, bundle_dir: Path, agent: EHRAgent) -> PatientMetricResult: + """Evaluate EHR context facts for one patient against gold standards. + + Args: + patient_id (str): Patient identifier. + gold_dir (Path): Directory of gold standard files. + bundle_dir (Path): Directory of FHIR bundle files. + agent (EHRAgent): EHR agent instance used for context synthesis. + + Returns: + PatientMetricResult: Calculated metrics and raw counts. + """ + + gold_facts = load_gold_facts(patient_id=patient_id, gold_dir=gold_dir) + raw_context = build_raw_context_from_bundle(patient_id=patient_id, bundle_path=bundle_dir / f"{patient_id}.json") + predicted_context = agent._build_context_from_raw(raw_context) + output_facts = extract_context_facts(predicted_context) + + matched_facts = gold_facts & output_facts + + recall = len(matched_facts) / len(gold_facts) if gold_facts else 0.0 + precision = len(matched_facts) / len(output_facts) if output_facts else 0.0 + hallucination_rate = (len(output_facts - gold_facts) / len(output_facts)) if output_facts else 0.0 + + return PatientMetricResult( + patient_id=patient_id, + recall=recall, + precision=precision, + hallucination_rate=hallucination_rate, + matched_count=len(matched_facts), + gold_count=len(gold_facts), + output_count=len(output_facts), + ) + + +def evaluate_all_patients(gold_dir: Path, bundle_dir: Path) -> tuple[list[PatientMetricResult], AggregateMetricResult]: + """Run EHR fact evaluation for all five demo patients. + + Args: + gold_dir (Path): Directory of per-patient gold standard files. + bundle_dir (Path): Directory of FHIR bundle files. + + Returns: + tuple[list[PatientMetricResult], AggregateMetricResult]: Per-patient and aggregate metrics. + """ + + agent = EHRAgent(model_id="mock") + patient_results = [ + evaluate_patient(patient_id=patient_id, gold_dir=gold_dir, bundle_dir=bundle_dir, agent=agent) + for patient_id in DEMO_PATIENT_IDS + ] + + aggregate = AggregateMetricResult( + recall=sum(item.recall for item in patient_results) / len(patient_results), + precision=sum(item.precision for item in patient_results) / len(patient_results), + hallucination_rate=sum(item.hallucination_rate for item in patient_results) / len(patient_results), + ) + return patient_results, aggregate + + +def append_results_to_report( + patient_results: list[PatientMetricResult], + aggregate_result: AggregateMetricResult, + report_path: Path, +) -> None: + """Append Task 30 evaluation results to markdown report. + + Args: + patient_results (list[PatientMetricResult]): Metrics for each demo patient. + aggregate_result (AggregateMetricResult): Average metrics across patients. + report_path (Path): Report file to append to. + + Returns: + None: Appends a markdown section to the report. + """ + + timestamp = datetime.now(tz=timezone.utc).isoformat() + recall_target_hit = aggregate_result.recall > 0.85 + precision_target_hit = aggregate_result.precision > 0.90 + hallucination_target_hit = aggregate_result.hallucination_rate < 0.10 + + lines = [ + "\n## Task 30 — EHR Agent Fact Recall Evaluation", + f"- Timestamp (UTC): {timestamp}", + "- Targets: recall > 85%, precision > 90%, hallucination < 10%", + f"- Fact Recall Average: {aggregate_result.recall:.4f}", + f"- Precision Average: {aggregate_result.precision:.4f}", + f"- Hallucination Rate Average: {aggregate_result.hallucination_rate:.4f}", + ( + "- Target Status: " + f"recall={'PASS' if recall_target_hit else 'FAIL'}, " + f"precision={'PASS' if precision_target_hit else 'FAIL'}, " + f"hallucination={'PASS' if hallucination_target_hit else 'FAIL'}" + ), + "- Per-patient metrics:", + ] + + for result in patient_results: + lines.append( + ( + f" - {result.patient_id}: recall={result.recall:.4f}, " + f"precision={result.precision:.4f}, hallucination={result.hallucination_rate:.4f} " + f"(matched={result.matched_count}, gold={result.gold_count}, output={result.output_count})" + ) + ) + + if not (recall_target_hit and precision_target_hit and hallucination_target_hit): + lines.append( + "- Note: One or more targets were missed; review EHR prompt quality and deterministic extraction mapping." + ) + + report_path.parent.mkdir(parents=True, exist_ok=True) + with report_path.open("a", encoding="utf-8") as handle: + handle.write("\n".join(lines) + "\n") + + +def parse_args() -> argparse.Namespace: + """Parse command-line options for EHR fact evaluation. + + Args: + None: Reads process argv. + + Returns: + argparse.Namespace: Parsed command line options. + """ + + parser = argparse.ArgumentParser(description="Evaluate EHR agent fact recall/precision/hallucination.") + parser.add_argument( + "--gold-dir", + type=Path, + default=Path("evaluation/gold_standards"), + help="Directory containing per-patient gold standard JSON files.", + ) + parser.add_argument( + "--bundle-dir", + type=Path, + default=Path("data/fhir_bundles"), + help="Directory containing patient FHIR bundle JSON files.", + ) + parser.add_argument( + "--report-path", + type=Path, + default=Path("evaluation_report.md"), + help="Markdown report path for appending results.", + ) + return parser.parse_args() + + +def main() -> None: + """Run Task 30 evaluation workflow and append results to report. + + Args: + None: CLI entrypoint. + + Returns: + None: Prints summary and writes markdown report section. + """ + + args = parse_args() + patient_results, aggregate_result = evaluate_all_patients(gold_dir=args.gold_dir, bundle_dir=args.bundle_dir) + append_results_to_report( + patient_results=patient_results, + aggregate_result=aggregate_result, + report_path=args.report_path, + ) + + print(f"Fact Recall Average: {aggregate_result.recall:.4f}") + print(f"Precision Average: {aggregate_result.precision:.4f}") + print(f"Hallucination Rate Average: {aggregate_result.hallucination_rate:.4f}") + for result in patient_results: + print( + f"{result.patient_id}: recall={result.recall:.4f}, " + f"precision={result.precision:.4f}, hallucination={result.hallucination_rate:.4f}" + ) + + +if __name__ == "__main__": + main() diff --git a/evaluation/eval_medasr.py b/evaluation/eval_medasr.py new file mode 100644 index 0000000000000000000000000000000000000000..cdb331818898d9684965b93b5afb026e28d7e719 --- /dev/null +++ b/evaluation/eval_medasr.py @@ -0,0 +1,196 @@ +"""Evaluate MedASR Word Error Rate on Clarke demo audio clips.""" + +from __future__ import annotations + +import argparse +import os +import sys +from dataclasses import dataclass +from datetime import datetime, timezone +from pathlib import Path + +ROOT_DIR = Path(__file__).resolve().parents[1] +if str(ROOT_DIR) not in sys.path: + sys.path.insert(0, str(ROOT_DIR)) + +from jiwer import wer + +from backend.models.medasr import MedASRModel + + +@dataclass(frozen=True) +class WerResult: + """Container for per-clip WER outputs. + + Args: + clip_name (str): Audio clip stem name. + reference_words (int): Number of words in ground-truth transcript. + hypothesis_words (int): Number of words in model transcript. + wer_score (float): Word error rate in range [0, +inf). + + Returns: + None: Dataclass value object. + """ + + clip_name: str + reference_words: int + hypothesis_words: int + wer_score: float + + +DEMO_CLIPS: tuple[tuple[str, str], ...] = ( + ("mrs_thompson", "data/demo/mrs_thompson.wav"), + ("mr_okafor", "data/demo/mr_okafor.wav"), + ("ms_patel", "data/demo/ms_patel.wav"), +) + + +def read_transcript(path: Path) -> str: + """Read and normalize a transcript file. + + Args: + path (Path): Path to transcript text file. + + Returns: + str: Transcript content stripped of leading/trailing whitespace. + """ + + return path.read_text(encoding="utf-8").strip() + + +def calculate_wer(reference_text: str, hypothesis_text: str) -> float: + """Compute WER for a reference and hypothesis text pair. + + Args: + reference_text (str): Ground-truth transcript string. + hypothesis_text (str): Predicted transcript string. + + Returns: + float: Word error rate score computed by jiwer.wer. + """ + + return float(wer(reference_text, hypothesis_text)) + + +def run_medasr_evaluation(force_mock: bool = True) -> tuple[list[WerResult], str]: + """Run WER evaluation for all three demo clips using MedASR. + + Args: + force_mock (bool): Whether to force MEDASR_MODEL_ID=mock for deterministic evaluation. + + Returns: + tuple[list[WerResult], str]: Results list and effective model id used. + """ + + if force_mock: + os.environ["MEDASR_MODEL_ID"] = "mock" + + model = MedASRModel() + results: list[WerResult] = [] + + for clip_name, audio_path in DEMO_CLIPS: + reference_path = Path(f"data/demo/{clip_name}_transcript.txt") + reference_text = read_transcript(reference_path) + transcript = model.transcribe(audio_path) + score = calculate_wer(reference_text, transcript.text) + results.append( + WerResult( + clip_name=clip_name, + reference_words=len(reference_text.split()), + hypothesis_words=transcript.word_count, + wer_score=score, + ) + ) + + return results, model.settings.MEDASR_MODEL_ID + + +def append_results_to_report(results: list[WerResult], report_path: Path, model_id: str) -> None: + """Append formatted MedASR WER evaluation output to markdown report. + + Args: + results (list[WerResult]): Per-clip WER results. + report_path (Path): Markdown report path for appending results. + model_id (str): MedASR model identifier used for evaluation. + + Returns: + None: Writes section to report file. + """ + + timestamp = datetime.now(tz=timezone.utc).isoformat() + average_wer = sum(item.wer_score for item in results) / len(results) + + lines = [ + "\n## Task 29 — MedASR WER Evaluation", + f"- Timestamp (UTC): {timestamp}", + f"- Model: {model_id}", + f"- MedASR WER Average: {average_wer:.4f}", + "- MedASR WER per clip:", + ] + + for item in results: + lines.append( + ( + f" - {item.clip_name}: WER={item.wer_score:.4f} " + f"(reference_words={item.reference_words}, hypothesis_words={item.hypothesis_words})" + ) + ) + + if average_wer > 0.15: + lines.append( + "- Note: MedASR WER exceeded 15% on demo clips; consider dictation-style audio fallback " + "(implementation fallback path #4)." + ) + + report_path.parent.mkdir(parents=True, exist_ok=True) + with report_path.open("a", encoding="utf-8") as handle: + handle.write("\n".join(lines) + "\n") + + +def parse_args() -> argparse.Namespace: + """Parse command-line options for MedASR evaluation. + + Args: + None: Reads process argv. + + Returns: + argparse.Namespace: Parsed CLI flags. + """ + + parser = argparse.ArgumentParser(description="Evaluate MedASR WER on demo clips.") + parser.add_argument( + "--report-path", + type=Path, + default=Path("evaluation_report.md"), + help="Path to markdown report file.", + ) + parser.add_argument( + "--no-force-mock", + action="store_true", + help="Do not force MEDASR_MODEL_ID=mock.", + ) + return parser.parse_args() + + +def main() -> None: + """Execute CLI evaluation flow and append markdown results. + + Args: + None: CLI entrypoint. + + Returns: + None: Writes report and prints summary. + """ + + args = parse_args() + results, model_id = run_medasr_evaluation(force_mock=not args.no_force_mock) + append_results_to_report(results=results, report_path=args.report_path, model_id=model_id) + + average_wer = sum(item.wer_score for item in results) / len(results) + print(f"MedASR WER Average: {average_wer:.4f}") + for item in results: + print(f"{item.clip_name}: {item.wer_score:.4f}") + + +if __name__ == "__main__": + main() diff --git a/evaluation/gold_standard_letters.md b/evaluation/gold_standard_letters.md new file mode 100644 index 0000000000000000000000000000000000000000..1a92ad9eb515399092ba0ae66a2d00f9c54dea94 --- /dev/null +++ b/evaluation/gold_standard_letters.md @@ -0,0 +1,150 @@ +# Gold-Standard Reference Letters for Clarke Document Generation Evaluation + +These three reference letters represent the expected output of Clarke's document generation pipeline for each demo patient. They were written by a medical student following NHS clinical correspondence standards, incorporating content from both the consultation transcript and the FHIR electronic health record. They serve as the ground truth for BLEU and ROUGE-L evaluation of MedGemma 27B's generated output. + +--- + +## Letter 1: Mrs Margaret Thompson — Type 2 Diabetes Mellitus Review + +Dr Sarah Chen +Consultant, General Practice +Clarke NHS Trust +General Practice Department +University Hospital London + +Dr Andrew Wilson +Riverside Medical Practice + +Date: 18 February 2026 + +Dear Dr Wilson, + +Re: Mrs Margaret Thompson, DOB 15/03/1958, NHS No. 943-476-2185 + +**History of presenting complaint** + +Mrs Thompson attended for routine review of her type 2 diabetes mellitus. She reported feeling generally well overall but mentioned increasing fatigue in the afternoons and increased thirst over recent weeks. She denied any episodes of hypoglycaemia, polyuria, or unintentional weight loss. She confirmed good adherence to her current medication regimen, taking metformin one gram twice daily with meals and gliclazide forty milligrams once daily in the morning. + +**Examination findings** + +Blood pressure was measured at 138/82 mmHg. Body mass index was 31 kg/m². Cardiovascular and respiratory system examinations were unremarkable. Peripheral pulses were palpable bilaterally. Foot examination revealed good sensation and no evidence of peripheral neuropathy, ulceration, or skin breakdown. + +**Investigation results** + +Recent laboratory investigations demonstrated an HbA1c of 8.2% (66 mmol/mol), which represents a rise from the previous result of 7.8% (62 mmol/mol) recorded on 01/11/2025. This confirms a deterioration in glycaemic control over the intervening period. Renal function showed an eGFR of 68 mL/min, a decline from 72 mL/min recorded on 01/11/2025, with a creatinine of 98 µmol/L. These results indicate stable but mildly impaired renal function (CKD stage 3a). + +**Assessment and plan** + +Mrs Thompson presents with suboptimal glycaemic control, evidenced by the rising HbA1c despite adherence to her current medication regimen. Her symptoms of fatigue and increased thirst are consistent with hyperglycaemia. Given the stable renal function, we have agreed to increase the gliclazide dose from 40 mg once daily to 80 mg once daily to improve glycaemic control. Metformin 1g twice daily will continue unchanged. Lifestyle advice regarding dietary modifications and regular physical activity was reinforced, and Mrs Thompson was encouraged to continue her walking routine. + +She was counselled on the symptoms of hypoglycaemia — feeling shaky, sweaty, or faint — and advised to consume a fast-acting carbohydrate immediately and contact the surgery should this occur. Repeat blood tests including HbA1c and renal function are requested in three months. We will review the response to the dose adjustment at that time. + +**Current medications** + +Metformin 1g twice daily (unchanged) +Gliclazide 80 mg once daily in the morning (increased from 40 mg) +Lisinopril 10 mg once daily +Atorvastatin 20 mg once nightly + +Warm regards, + +Dr Sarah Chen +Consultant, General Practice + +--- + +## Letter 2: Mr Emeka Okafor — Chest Pain Follow-Up + +Dr Sarah Chen +Consultant, General Practice +Clarke NHS Trust +General Practice Department +University Hospital London + +Dr Andrew Wilson +Riverside Medical Practice + +Date: 18 February 2026 + +Dear Dr Wilson, + +Re: Mr Emeka Okafor, DOB 22/11/1971, NHS No. 401-592-7384 + +**History of presenting complaint** + +Mr Okafor attended for follow-up review of his recent presentation with chest pain. He had been admitted to hospital for investigation of acute chest discomfort and was discharged following completion of cardiac workup. He reports that the chest pain has not recurred since discharge, though he remains understandably anxious about the symptoms. He denied any breathlessness, palpitations, or syncope. He has been taking his prescribed medications as directed. + +**Examination findings** + +Blood pressure was measured at 148/92 mmHg, which remains above target. Cardiovascular examination revealed normal heart sounds with no murmurs, rubs, or gallops. Chest was clear to auscultation bilaterally. There was no peripheral oedema. Body habitus was satisfactory. + +**Investigation results** + +Coronary angiography performed on 18/01/2026 demonstrated normal coronary arteries with no evidence of obstructive disease. This is a reassuring finding. Hospital blood tests including high-sensitivity troponin I were measured at 8 ng/L on 20/01/2026, which is within the normal range and below the diagnostic threshold for myocardial infarction. Together, these results effectively exclude an acute coronary syndrome as the cause of his chest pain. + +**Assessment and plan** + +Mr Okafor has a background of angina pectoris and hypertensive disorder. The recent cardiac investigations are reassuring, demonstrating no obstructive coronary artery disease and a normal troponin. We discussed how chest discomfort can still occur from non-cardiac causes, including musculoskeletal chest wall strain, gastro-oesophageal reflux, and anxiety. He was reassured that there is no evidence of a heart attack from this episode. + +His blood pressure remains suboptimally controlled at 148/92 mmHg. We discussed blood pressure management in detail, including reducing dietary salt intake, improving sleep hygiene, maintaining regular physical exercise, and monitoring blood pressure readings at home. Current medications were reviewed and are to continue unchanged at present. If home blood pressure readings remain consistently elevated, we will consider the addition of a further antihypertensive agent. + +He was advised to seek urgent medical attention immediately if he experiences chest pain that is severe, prolonged, or associated with breathlessness, diaphoresis, or radiation to the arm or jaw. We will review his blood pressure trend and symptoms at his next routine follow-up appointment in eight weeks. + +**Current medications** + +Aspirin 75 mg once daily +Atorvastatin 40 mg once nightly + +Warm regards, + +Dr Sarah Chen +Consultant, General Practice + +--- + +## Letter 3: Ms Priya Patel — Asthma Review + +Dr Sarah Chen +Consultant, General Practice +Clarke NHS Trust +General Practice Department +University Hospital London + +Dr Andrew Wilson +Riverside Medical Practice + +Date: 18 February 2026 + +Dear Dr Wilson, + +Re: Ms Priya Patel, DOB 14/07/1993, NHS No. 628-114-7390 + +**History of presenting complaint** + +Ms Patel attended for a routine asthma review. She reports using her salbutamol reliever inhaler approximately four to five times per week, which is above the threshold indicating well-controlled asthma (fewer than three uses per week). She has not experienced any acute exacerbations, hospital admissions, or courses of oral corticosteroids in the past twelve months. She denied any nocturnal symptoms, exercise limitation, or occupational triggers. She is not currently using a regular preventer inhaler. + +**Examination findings** + +Peak expiratory flow rate was measured at 320 litres per minute, which corresponds to approximately 80% of her predicted best. This indicates mild airflow limitation with room for improvement. Respiratory examination revealed good air entry bilaterally with no wheeze or crackles on auscultation. Oxygen saturations were satisfactory on room air. Inhaler technique was assessed: it was noted that Ms Patel was not holding her breath for a sufficient duration after inhalation, which would reduce drug deposition in the lower airways. Correct technique was demonstrated and she was asked to practise at home. + +**Investigation results** + +No additional investigations were performed at this visit. Peak flow monitoring has been requested (see plan below). + +**Assessment and plan** + +Ms Patel has asthma that is not optimally controlled, as evidenced by frequent reliever use (four to five times weekly) and a peak flow at 80% of predicted. The suboptimal inhaler technique identified today is likely contributing to reduced medication efficacy. + +We have agreed to initiate a regular preventer inhaler: beclomethasone dipropionate 200 micrograms twice daily via metered-dose inhaler. Ms Patel was counselled on the importance of using this medication every day, even when asymptomatic, as the anti-inflammatory effect is cumulative and preventive. She was advised to rinse her mouth with water after each use to reduce the risk of oral candidiasis. + +She has been asked to keep a peak flow diary for the next four weeks, recording morning and evening readings, and to bring this to her next appointment. She was advised to return sooner if her symptoms worsen or if she is using her salbutamol reliever more than three times per week despite regular use of the preventer. We will review her symptom control, peak flow diary, and inhaler technique at a follow-up appointment in six weeks. + +**Current medications** + +Salbutamol 100 mcg inhaler, two puffs as required for symptom relief +Beclomethasone dipropionate 200 mcg inhaler, one puff twice daily (newly initiated) + +Warm regards, + +Dr Sarah Chen +Consultant, General Practice diff --git a/evaluation/gold_standards/.DS_Store b/evaluation/gold_standards/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..e97c93f06f40abb36c5488a6e728251d7c100aee Binary files /dev/null and b/evaluation/gold_standards/.DS_Store differ diff --git a/evaluation/gold_standards/pt-001.json b/evaluation/gold_standards/pt-001.json new file mode 100644 index 0000000000000000000000000000000000000000..d6c041b4957d7ed9a689029055265ed9d7e65e9f --- /dev/null +++ b/evaluation/gold_standards/pt-001.json @@ -0,0 +1,19 @@ +{ + "patient_id": "pt-001", + "gold_facts": [ + "name: Mrs Margaret Thompson", + "dob: 1958-03-14", + "sex: Female", + "problem: Type 2 diabetes mellitus", + "problem: Chronic kidney disease stage 3a", + "medication: Metformin 1g twice daily", + "medication: Gliclazide 40mg once daily", + "allergy: Penicillin", + "allergy severity: Penicillin=high", + "lab: HbA1c=55 mmol/mol", + "lab: HbA1c=48 mmol/mol", + "lab: eGFR=52 mL/min/1.73m2", + "report summary: Diabetes blood panel reviewed", + "clinical flag: HbA1c rising trend (48 → 55)" + ] +} diff --git a/evaluation/gold_standards/pt-002.json b/evaluation/gold_standards/pt-002.json new file mode 100644 index 0000000000000000000000000000000000000000..8e0628cea4b3f81c4dada9923b3373b719fbd50e --- /dev/null +++ b/evaluation/gold_standards/pt-002.json @@ -0,0 +1,19 @@ +{ + "patient_id": "pt-002", + "gold_facts": [ + "name: Mr Emeka Okafor", + "dob: 1971-11-22", + "sex: Male", + "problem: Angina pectoris", + "problem: Hypertensive disorder", + "medication: Aspirin", + "medication: Atorvastatin", + "allergy: Ibuprofen", + "allergy severity: Ibuprofen=low", + "lab: Troponin I=8 ng/L", + "lab: Systolic BP=148 mm[Hg]", + "lab: Diastolic BP=92 mm[Hg]", + "report type: Coronary angiography report", + "report summary: Normal coronary arteries with no obstructive disease." + ] +} diff --git a/evaluation/gold_standards/pt-003.json b/evaluation/gold_standards/pt-003.json new file mode 100644 index 0000000000000000000000000000000000000000..2b1e3d6e82b54787fd30a0705233637c1c237d6d --- /dev/null +++ b/evaluation/gold_standards/pt-003.json @@ -0,0 +1,19 @@ +{ + "patient_id": "pt-003", + "gold_facts": [ + "name: Ms Priya Patel", + "dob: 1997-06-30", + "sex: Female", + "problem: Asthma", + "problem: Allergic rhinitis", + "medication: Salbutamol inhaler", + "medication: Cetirizine", + "allergy: Peanut", + "allergy severity: Peanut=high", + "lab: Peak flow=320 L/min", + "lab: SpO2=97 %", + "lab: Eosinophils=0.42 10*9/L", + "report type: Chest X-ray report", + "report summary: No acute cardiopulmonary abnormality." + ] +} diff --git a/evaluation/gold_standards/pt-004.json b/evaluation/gold_standards/pt-004.json new file mode 100644 index 0000000000000000000000000000000000000000..416cdcc0ce61e4b08b061b204a90e3064cc5d385 --- /dev/null +++ b/evaluation/gold_standards/pt-004.json @@ -0,0 +1,20 @@ +{ + "patient_id": "pt-004", + "gold_facts": [ + "name: Mr David Williams", + "dob: 1953-01-09", + "sex: Male", + "problem: Congestive heart failure", + "problem: Ischaemic heart disease", + "medication: Bisoprolol", + "medication: Ramipril", + "medication: Furosemide", + "allergy: ACE inhibitors", + "allergy severity: ACE inhibitors=low", + "lab: BNP=450 pg/mL", + "lab: Ejection fraction=35 %", + "lab: Creatinine=101 µmol/L", + "report type: Echocardiogram report", + "report summary: Moderately reduced LV systolic function; EF approximately 35%." + ] +} diff --git a/evaluation/gold_standards/pt-005.json b/evaluation/gold_standards/pt-005.json new file mode 100644 index 0000000000000000000000000000000000000000..6a0d63baa1a0a7c02d8882c6a599651c103122e6 --- /dev/null +++ b/evaluation/gold_standards/pt-005.json @@ -0,0 +1,19 @@ +{ + "patient_id": "pt-005", + "gold_facts": [ + "name: Mrs Fatima Khan", + "dob: 1980-09-16", + "sex: Female", + "problem: Depressive disorder", + "problem: Insomnia", + "medication: Sertraline", + "medication: Colecalciferol", + "allergy: Latex", + "allergy severity: Latex=low", + "lab: PHQ-9 score=12 score", + "lab: GAD-7 score=9 score", + "lab: TSH=2.1 mIU/L", + "report type: Consultation note", + "report summary: Mood improved slightly since last review; persistent anhedonia." + ] +} diff --git a/evaluation/gold_standards/ref_mr_okafor.txt b/evaluation/gold_standards/ref_mr_okafor.txt new file mode 100644 index 0000000000000000000000000000000000000000..a834ff3bf0793d70679e8084d75e3efdaede9650 --- /dev/null +++ b/evaluation/gold_standards/ref_mr_okafor.txt @@ -0,0 +1,40 @@ +Dr Sarah Chen +Consultant, General Practice +Clarke NHS Trust +General Practice Department +University Hospital London + +Dr Andrew Wilson +Riverside Medical Practice + +Date: 18 February 2026 + +Dear Dr Wilson, + +Re: Mr Emeka Okafor, DOB 22/11/1971, NHS No. 401-592-7384 + +History of presenting complaint + +Mr Okafor attended for follow-up of his recent chest pain presentation. He was admitted for investigation and discharged after cardiac workup. The chest pain has not recurred since discharge. He denied breathlessness, palpitations, or syncope. He has been taking his medications as directed. + +Examination findings + +Blood pressure was 148/92 mmHg, which remains above target. Heart sounds were normal with no murmurs. Chest was clear on auscultation. There was no peripheral oedema. + +Investigation results + +Coronary angiography on 18/01/2026 showed normal coronary arteries with no obstructive disease. Troponin I was 8 ng/L on 20/01/2026, within the normal range. These results exclude acute coronary syndrome. + +Assessment and plan + +Mr Okafor has a history of angina pectoris and hypertension. Recent investigations are reassuring with no obstructive coronary disease. We discussed non-cardiac causes including chest wall strain, reflux, and stress. Blood pressure remains suboptimally controlled at 148/92 mmHg. We reviewed blood pressure management including salt reduction, exercise, and home monitoring. Current medications will continue unchanged. If home readings remain elevated, further antihypertensive therapy will be considered. He was advised to seek urgent care for severe or prolonged chest pain. Follow-up is arranged in eight weeks. + +Current medications + +Aspirin 75 mg once daily +Atorvastatin 40 mg once nightly + +Warm regards, + +Dr Sarah Chen +Consultant, General Practice diff --git a/evaluation/gold_standards/ref_mr_williams.txt b/evaluation/gold_standards/ref_mr_williams.txt new file mode 100644 index 0000000000000000000000000000000000000000..03f3901a47f885a0b98d77487b01190631cc748b --- /dev/null +++ b/evaluation/gold_standards/ref_mr_williams.txt @@ -0,0 +1,45 @@ +Dr Sarah Chen +Consultant, General Practice +Clarke NHS Trust +General Practice Department +University Hospital London + +Dr Andrew Wilson +Riverside Medical Practice + +Date: 18 February 2026 + +Dear Dr Wilson, + +Re: Mr David Williams, DOB 09/01/1953, NHS No. 518-630-2741 + +History of presenting complaint + +Mr Williams attended for review of his congestive heart failure. He reported increasing breathlessness on exertion over recent weeks, particularly on stairs and hills. He is comfortable at rest and on the flat. He denied orthopnoea and has not required additional pillows. He also reported bilateral ankle swelling returning over the past two weeks, resolving overnight but recurring each afternoon. He confirmed adherence to all prescribed medications. + +Examination findings + +Bilateral pitting ankle oedema was noted. Cardiovascular and respiratory examinations were otherwise unremarkable. There were no signs of decompensation at rest. + +Investigation results + +Echocardiogram on 05/01/2026 showed a left ventricular ejection fraction of 35%, indicating reduced systolic function. BNP was 450 pg/mL on 10/01/2026, which is elevated and consistent with ongoing cardiac strain. Creatinine was 101 µmol/L on 10/01/2026, indicating acceptable renal function. + +Assessment and plan + +Mr Williams has congestive heart failure with a background of ischaemic heart disease. His symptoms of exertional dyspnoea and peripheral oedema suggest suboptimal fluid balance despite current diuretic therapy. Ejection fraction remains reduced at 35%. BNP is elevated at 450 pg/mL, consistent with the clinical picture. + +We discussed optimising his diuretic therapy and will consider increasing furosemide if symptoms persist. He was advised to monitor his weight daily and contact the surgery if he gains more than two kilograms in two days. Lifestyle advice regarding fluid and salt intake was reinforced. Follow-up is arranged in four weeks to reassess symptoms and repeat bloods. He was advised to seek urgent medical attention if breathlessness worsens, he develops chest pain, or he cannot lie flat. + +Note: Mr Williams has a documented allergy to ACE inhibitors. He is currently prescribed ramipril, which requires review and reconciliation. + +Current medications + +Bisoprolol 5 mg once daily +Ramipril 5 mg once daily +Furosemide 40 mg once daily + +Warm regards, + +Dr Sarah Chen +Consultant, General Practice diff --git a/evaluation/gold_standards/ref_mrs_khan.txt b/evaluation/gold_standards/ref_mrs_khan.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a0738d84c4ecc86c682cd28de3339e2e2d346a5 --- /dev/null +++ b/evaluation/gold_standards/ref_mrs_khan.txt @@ -0,0 +1,44 @@ +Dr Sarah Chen +Consultant, General Practice +Clarke NHS Trust +General Practice Department +University Hospital London + +Dr Andrew Wilson +Riverside Medical Practice + +Date: 18 February 2026 + +Dear Dr Wilson, + +Re: Mrs Fatima Khan, DOB 16/09/1980, NHS No. 239-715-8046 + +History of presenting complaint + +Mrs Khan attended for review of her depressive disorder and insomnia. She reported persistent low mood on most days with reduced motivation and anhedonia. She described early morning wakening at four to five in the morning with inability to return to sleep. Her appetite is reduced with smaller portions and possible weight loss. She denied any thoughts of self-harm. She has been taking sertraline 100 mg once daily for approximately four months and colecalciferol 800 units once daily. + +Examination findings + +No formal physical examination was performed at this visit. Mental state assessment noted low mood, reduced motivation, anhedonia, and early morning wakening consistent with moderate depressive episode. + +Investigation results + +PHQ-9 score was 12 on 19/01/2026, indicating moderate depression. GAD-7 score was 9 on 19/01/2026, indicating mild to moderate anxiety. TSH was 2.1 mIU/L on 19/01/2026, which is within the normal range. This excludes a thyroid cause for her symptoms. + +Assessment and plan + +Mrs Khan has moderate depression with comorbid mild to moderate anxiety. She has been on sertraline 100 mg for four months without achieving full remission, as evidenced by a PHQ-9 of 12. TSH is normal, excluding hypothyroidism as a contributing factor. + +We discussed increasing sertraline to 150 mg once daily to optimise treatment. A referral to NHS Talking Therapies was offered for psychological support. Sleep hygiene advice was provided: avoiding screens one hour before bed, maintaining a regular bedtime routine, and avoiding caffeine after midday. Follow-up is arranged in four weeks to repeat PHQ-9 and GAD-7 scores. She was advised to contact the surgery urgently if her symptoms worsen significantly. + +Note: Mrs Khan has a documented allergy to latex. + +Current medications + +Sertraline 100 mg once daily (increase to 150 mg discussed) +Colecalciferol 800 units once daily + +Warm regards, + +Dr Sarah Chen +Consultant, General Practice diff --git a/evaluation/gold_standards/ref_mrs_thompson .txt b/evaluation/gold_standards/ref_mrs_thompson .txt new file mode 100644 index 0000000000000000000000000000000000000000..add65527c3f0fd4a62f306777c2c104771dcea81 --- /dev/null +++ b/evaluation/gold_standards/ref_mrs_thompson .txt @@ -0,0 +1,42 @@ +Dr Sarah Chen +Consultant, General Practice +Clarke NHS Trust +General Practice Department +University Hospital London + +Dr Andrew Wilson +Riverside Medical Practice + +Date: 18 February 2026 + +Dear Dr Wilson, + +Re: Mrs Margaret Thompson, DOB 15/03/1958, NHS No. 943-476-2185 + +History of presenting complaint + +Mrs Thompson attended for routine review of her type 2 diabetes mellitus. She reported increasing fatigue in the afternoons and increased thirst over recent weeks. She denied hypoglycaemia, polyuria, or unintentional weight loss. She confirmed adherence to her current medications. She is taking metformin one gram twice daily and gliclazide forty milligrams once daily. + +Examination findings + +Blood pressure was 138/82 mmHg. Body mass index was 31 kg/m². Cardiovascular and respiratory examinations were unremarkable. Peripheral pulses were palpable bilaterally. Foot examination revealed no neuropathy or ulceration. + +Investigation results + +HbA1c was 8.2%, rising from 7.8% recorded on 01/11/2025. This confirms deterioration in glycaemic control. eGFR was 68 mL/min, declining from 72 mL/min on 01/11/2025. Creatinine was 98 µmol/L. Renal function remains stable at CKD stage 3a. + +Assessment and plan + +Mrs Thompson has suboptimal glycaemic control with a rising HbA1c. Her fatigue and thirst are consistent with hyperglycaemia. We agreed to increase gliclazide from 40 mg to 80 mg once daily. Metformin 1g twice daily will continue unchanged. Lifestyle advice on diet and exercise was reinforced. She was counselled on hypoglycaemia symptoms and management. Repeat HbA1c and renal function are requested in three months. + +Current medications + +Metformin 1g twice daily (unchanged) +Gliclazide 80 mg once daily (increased from 40 mg) +Lisinopril 10 mg once daily +Atorvastatin 20 mg once nightly + +Warm regards, + +Dr Sarah Chen +Consultant, General Practice diff --git a/evaluation/gold_standards/ref_ms_patel.txt b/evaluation/gold_standards/ref_ms_patel.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa9bb02ed731ae6ccfca21f995a88395f9194783 --- /dev/null +++ b/evaluation/gold_standards/ref_ms_patel.txt @@ -0,0 +1,40 @@ +Dr Sarah Chen +Consultant, General Practice +Clarke NHS Trust +General Practice Department +University Hospital London + +Dr Andrew Wilson +Riverside Medical Practice + +Date: 18 February 2026 + +Dear Dr Wilson, + +Re: Ms Priya Patel, DOB 30/06/1997, NHS No. 762-048-1935 + +History of presenting complaint + +Ms Patel attended for a routine asthma review. She is using her salbutamol reliever inhaler four to five times per week. This exceeds the threshold for well-controlled asthma. She denied nocturnal symptoms, exercise limitation, or occupational triggers. She is not currently using a preventer inhaler. + +Examination findings + +Peak flow was 320 litres per minute, approximately 80% of predicted best. Respiratory examination revealed good air entry with no wheeze or crackles. Oxygen saturations were satisfactory on room air. Inhaler technique was assessed and found to be suboptimal. She was not holding her breath sufficiently after inhalation. Correct technique was demonstrated. + +Investigation results + +No additional investigations were performed at this visit. Peak flow monitoring has been requested. + +Assessment and plan + +Ms Patel has poorly controlled asthma with frequent reliever use and reduced peak flow. Suboptimal inhaler technique is likely contributing to reduced medication efficacy. We initiated beclomethasone 200 micrograms twice daily as a regular preventer. She was advised to use this daily, even when asymptomatic. She should rinse her mouth after each use to reduce candidiasis risk. A peak flow diary was requested for the next four weeks. She was advised to return if symptoms worsen or salbutamol use exceeds three times weekly. Follow-up is arranged in six weeks. + +Current medications + +Salbutamol 100 mcg inhaler, two puffs as required +Beclomethasone 200 mcg inhaler, one puff twice daily (newly initiated) + +Warm regards, + +Dr Sarah Chen +Consultant, General Practice diff --git a/finetuning/__init__.py b/finetuning/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5a53478fe74dc3edbf276a339f9ad05a8e8ec94f --- /dev/null +++ b/finetuning/__init__.py @@ -0,0 +1 @@ +"""Fine-tuning utilities for Task 28 LoRA workflows.""" diff --git a/finetuning/adapter/README.md b/finetuning/adapter/README.md new file mode 100644 index 0000000000000000000000000000000000000000..1ecb2e6c2aae4ff76626fc002e8007cfc466debb --- /dev/null +++ b/finetuning/adapter/README.md @@ -0,0 +1,7 @@ +# Adapter output + +No LoRA adapter weights are committed in-repo. + +Task 28 training fallback was triggered in this environment because model downloads from Hugging Face were blocked (HTTP 403 via proxy). Per `clarke_PRD_tasks.md`, the workflow falls back to base `google/medgemma-27b-text-it` when LoRA training cannot complete after two attempts. + +See `finetuning/adapter/task35_publication_status.md` for the Task 35 publication decision and verification evidence. diff --git a/finetuning/adapter/task35_publication_status.md b/finetuning/adapter/task35_publication_status.md new file mode 100644 index 0000000000000000000000000000000000000000..d7b279c3384d8eb776327ce00683ccd36e9de85e --- /dev/null +++ b/finetuning/adapter/task35_publication_status.md @@ -0,0 +1,24 @@ +# Task 35 — HF Hub LoRA Adapter Publication Status + +## Outcome +Task 35 is **skipped**. + +## Why Task 35 is skipped +Task 35 in `clarke_PRD_tasks.md` states: _"If fine-tuning was not completed, skip this task entirely."_ + +In this repository, LoRA fine-tuning did not complete in the current environment and no adapter weight artifacts are present under `finetuning/adapter/`. + +## Evidence checked +- `finetuning/adapter/README.md` documents that Task 28 fallback was triggered and no LoRA adapter weights are committed. +- Directory listing of `finetuning/adapter/` contains no adapter binaries (`adapter_model.safetensors`, `adapter_config.json`, tokenizer files, etc.). + +## Verification commands +```bash +ls -lah finetuning/adapter +find finetuning/adapter -maxdepth 1 -type f +``` + +Both checks confirm there are no publishable LoRA adapter weight files in this environment. + +## Publication status +No Hugging Face Hub model repository was created for `{username}/clarke-medgemma-27b-nhs-letter-lora` in this task run because prerequisites for publication were not met. diff --git a/finetuning/train_lora.py b/finetuning/train_lora.py new file mode 100644 index 0000000000000000000000000000000000000000..41f4bc42b3693c2c7aee4770d8246a4b5194be01 --- /dev/null +++ b/finetuning/train_lora.py @@ -0,0 +1,366 @@ +"""QLoRA fine-tuning entrypoint for MedGemma 27B clinical letter generation.""" + +from __future__ import annotations + +import argparse +import gc +import json +from dataclasses import dataclass +from pathlib import Path +from typing import Any + +from backend.config import get_settings +from backend.errors import ModelExecutionError, get_component_logger + +logger = get_component_logger("train_lora") +PROMPT_TEMPLATE_PATH = Path("backend/prompts/document_generation.j2") +TRAINING_DATA_PATH = Path("data/training/train.jsonl") +ADAPTER_DIR = Path("finetuning/adapter") + + +@dataclass(frozen=True) +class FineTuneAttempt: + """Container for a single LoRA training attempt hyper-parameter set. + + Args: + lora_rank (int): Low-rank adaptation rank value. + max_seq_length (int): Maximum sequence length for packing and truncation. + sample_limit (int | None): Optional cap on loaded training records. + + Returns: + FineTuneAttempt: Immutable attempt configuration object. + """ + + lora_rank: int + max_seq_length: int + sample_limit: int | None + + +def parse_args() -> argparse.Namespace: + """Parse command-line arguments for LoRA training orchestration. + + Args: + None: Reads options from process command line. + + Returns: + argparse.Namespace: Parsed arguments controlling runtime behaviour. + """ + + parser = argparse.ArgumentParser(description="Task 28: QLoRA fine-tuning for MedGemma 27B") + parser.add_argument("--train-path", type=Path, default=TRAINING_DATA_PATH) + parser.add_argument("--template-path", type=Path, default=PROMPT_TEMPLATE_PATH) + parser.add_argument("--adapter-dir", type=Path, default=ADAPTER_DIR) + parser.add_argument("--base-model", type=str, default=get_settings().MEDGEMMA_27B_MODEL_ID) + parser.add_argument("--dry-run", action="store_true") + parser.add_argument( + "--use-tiny-model", + action="store_true", + help="Use a tiny public model for environment verification instead of MedGemma 27B.", + ) + parser.add_argument("--use-wandb", action="store_true") + return parser.parse_args() + + +def unload_other_models_for_training() -> None: + """Release cached model state before loading MedGemma 27B for QLoRA training. + + Args: + None: Performs global memory cleanup only. + + Returns: + None: Frees Python and CUDA caches to minimise VRAM pressure. + """ + + gc.collect() + try: + import torch + + if torch.cuda.is_available(): + torch.cuda.empty_cache() + except ModuleNotFoundError: + logger.warning("torch is not installed; skipping CUDA cache clear") + logger.info("Unloaded MedASR/MedGemma 4B placeholders and cleared caches before training") + + +def reload_runtime_models_after_training() -> None: + """Log post-training model lifecycle step required by the PRD workflow. + + Args: + None: No parameters. + + Returns: + None: Emits instruction-level log for subsequent runtime reload. + """ + + logger.info("Post-training step complete; runtime should reload MedASR and MedGemma 4B on demand") + + +def load_training_records(train_path: Path, sample_limit: int | None = None) -> list[dict[str, Any]]: + """Load JSONL triplets and optionally trim to a fixed sample count. + + Args: + train_path (Path): Path to JSONL data with transcript/context/reference_letter keys. + sample_limit (int | None): Optional maximum number of records to return. + + Returns: + list[dict[str, Any]]: Parsed list of training samples. + """ + + if not train_path.exists(): + raise ModelExecutionError(f"Training dataset not found at {train_path}") + + records: list[dict[str, Any]] = [] + for line_number, raw_line in enumerate(train_path.read_text(encoding="utf-8").splitlines(), start=1): + if not raw_line.strip(): + continue + item = json.loads(raw_line) + missing_keys = {"transcript", "context", "reference_letter"} - set(item) + if missing_keys: + raise ModelExecutionError( + f"Training sample at line {line_number} missing required keys: {sorted(missing_keys)}" + ) + records.append(item) + + if sample_limit is not None: + return records[:sample_limit] + return records + + +def format_training_example(sample: dict[str, Any], prompt_template: str) -> str: + """Convert one triplet into an instruction-tuning text sample. + + Args: + sample (dict[str, Any]): Single JSON sample containing transcript/context/reference letter. + prompt_template (str): Raw Jinja template text used as instruction scaffold. + + Returns: + str: Prompt-completion text consumed by TRL SFT trainer. + """ + + context_json = json.dumps(sample["context"], ensure_ascii=False, indent=2) + rendered_prompt = ( + prompt_template.replace("{{ transcript }}", sample["transcript"].strip()) + .replace("{{ context_json }}", context_json) + .replace("{{ letter_date }}", "13 Feb 2026") + .replace("{{ clinician_name }}", "Dr. Clarke") + .replace("{{ clinician_title }}", "Consultant") + ) + return f"{rendered_prompt}\n{sample['reference_letter'].strip()}" + + +def build_dataset(samples: list[dict[str, Any]], template_path: Path) -> Any: + """Build a Hugging Face Dataset with formatted text examples for SFT. + + Args: + samples (list[dict[str, Any]]): List of raw training triplets. + template_path (Path): Path to document generation prompt template. + + Returns: + Dataset: Dataset with single `text` column for SFTTrainer. + """ + + if not template_path.exists(): + raise ModelExecutionError(f"Prompt template not found at {template_path}") + prompt_template = template_path.read_text(encoding="utf-8") + from datasets import Dataset + + texts = [format_training_example(sample, prompt_template) for sample in samples] + return Dataset.from_dict({"text": texts}) + + +def build_attempt_sequence() -> list[FineTuneAttempt]: + """Create primary and fallback attempt configurations as mandated in Task 28. + + Args: + None: Uses static sequence from PRD fallback policy. + + Returns: + list[FineTuneAttempt]: Ordered attempt list from default to reduced settings. + """ + + return [ + FineTuneAttempt(lora_rank=16, max_seq_length=4096, sample_limit=None), + FineTuneAttempt(lora_rank=8, max_seq_length=2048, sample_limit=100), + ] + + +def run_single_attempt( + *, + attempt: FineTuneAttempt, + args: argparse.Namespace, + settings: Any, +) -> dict[str, float]: + """Execute one LoRA fine-tuning run and persist adapter artifacts. + + Args: + attempt (FineTuneAttempt): Hyper-parameter profile for this run. + args (argparse.Namespace): Parsed command-line runtime options. + settings (Any): Application settings object with training defaults. + + Returns: + dict[str, float]: Initial/final loss metrics for pass/fail checks. + """ + + model_id = "hf-internal-testing/tiny-random-gpt2" if args.use_tiny_model else args.base_model + samples = load_training_records(args.train_path, sample_limit=attempt.sample_limit) + if not samples: + raise ModelExecutionError("Training dataset is empty") + + if args.dry_run: + logger.info( + "Dry run enabled; validated dataset/template only", + sample_count=len(samples), + lora_rank=attempt.lora_rank, + max_seq_length=attempt.max_seq_length, + ) + return {"initial_loss": 0.0, "final_loss": 0.0} + + import torch + from peft import LoraConfig + from transformers import ( + AutoModelForCausalLM, + AutoTokenizer, + BitsAndBytesConfig, + TrainingArguments, + ) + from trl import SFTTrainer + + dataset = build_dataset(samples, args.template_path) + load_in_4bit = not args.use_tiny_model + bnb_config = ( + BitsAndBytesConfig( + load_in_4bit=True, + bnb_4bit_quant_type="nf4", + bnb_4bit_compute_dtype=torch.bfloat16, + bnb_4bit_use_double_quant=True, + ) + if load_in_4bit + else None + ) + + tokenizer = AutoTokenizer.from_pretrained(model_id) + if tokenizer.pad_token is None: + tokenizer.pad_token = tokenizer.eos_token + + model_kwargs: dict[str, Any] = { + "device_map": "auto", + "torch_dtype": torch.bfloat16 if torch.cuda.is_available() else torch.float32, + } + if bnb_config is not None: + model_kwargs["quantization_config"] = bnb_config + + model = AutoModelForCausalLM.from_pretrained(model_id, **model_kwargs) + + peft_config = LoraConfig( + r=attempt.lora_rank, + lora_alpha=settings.LORA_ALPHA, + lora_dropout=settings.LORA_DROPOUT, + bias="none", + target_modules=["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj"], + task_type="CAUSAL_LM", + ) + + training_arguments = TrainingArguments( + output_dir=str(args.adapter_dir / "checkpoints"), + num_train_epochs=settings.TRAINING_EPOCHS, + per_device_train_batch_size=settings.BATCH_SIZE, + gradient_accumulation_steps=settings.GRAD_ACCUM_STEPS, + learning_rate=settings.LEARNING_RATE, + logging_steps=1, + report_to=["wandb"] if args.use_wandb else [], + max_steps=6 if args.use_tiny_model else -1, + save_strategy="no", + ) + + trainer = SFTTrainer( + model=model, + train_dataset=dataset, + tokenizer=tokenizer, + peft_config=peft_config, + dataset_text_field="text", + max_seq_length=attempt.max_seq_length, + args=training_arguments, + ) + + train_result = trainer.train() + args.adapter_dir.mkdir(parents=True, exist_ok=True) + trainer.model.save_pretrained(str(args.adapter_dir)) + tokenizer.save_pretrained(str(args.adapter_dir)) + + loss_history = [entry["loss"] for entry in trainer.state.log_history if "loss" in entry] + initial_loss = float(loss_history[0] if loss_history else train_result.training_loss) + final_loss = float(loss_history[-1] if loss_history else train_result.training_loss) + + metrics = {"initial_loss": initial_loss, "final_loss": final_loss} + (args.adapter_dir / "training_metrics.json").write_text( + json.dumps( + { + **metrics, + "sample_count": len(samples), + "lora_rank": attempt.lora_rank, + "max_seq_length": attempt.max_seq_length, + }, + indent=2, + ), + encoding="utf-8", + ) + return metrics + + +def run_training(args: argparse.Namespace) -> int: + """Run LoRA training with fallback attempts and PRD-compliant stop behaviour. + + Args: + args (argparse.Namespace): Parsed CLI runtime options. + + Returns: + int: Process exit code (0 success, 1 failure requiring fallback to base model). + """ + + settings = get_settings() + unload_other_models_for_training() + + for attempt_index, attempt in enumerate(build_attempt_sequence(), start=1): + try: + logger.info( + "Starting fine-tuning attempt", + attempt=attempt_index, + lora_rank=attempt.lora_rank, + max_seq_length=attempt.max_seq_length, + sample_limit=attempt.sample_limit, + ) + metrics = run_single_attempt(attempt=attempt, args=args, settings=settings) + logger.info( + "Fine-tuning attempt complete", + attempt=attempt_index, + initial_loss=metrics["initial_loss"], + final_loss=metrics["final_loss"], + ) + reload_runtime_models_after_training() + return 0 + except Exception as exc: # noqa: BLE001 + logger.error("Fine-tuning attempt failed", attempt=attempt_index, error=str(exc)) + + logger.error( + "Known risk triggered. Switching to Fallback Path 3: use base MedGemma 27B without LoRA adapter." + ) + reload_runtime_models_after_training() + return 1 + + +def main() -> int: + """CLI entrypoint for Task 28 LoRA training workflow. + + Args: + None: Reads command-line flags and runs training. + + Returns: + int: Unix-style process status code. + """ + + args = parse_args() + return run_training(args) + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/frontend/__init__.py b/frontend/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..0b10ebe3cb330fdf83ea6720db84e7454b57fecd --- /dev/null +++ b/frontend/__init__.py @@ -0,0 +1 @@ +"""Frontend package for Clarke UI modules.""" diff --git a/frontend/assets/clarke_logo.svg b/frontend/assets/clarke_logo.svg new file mode 100644 index 0000000000000000000000000000000000000000..51460ad8e854b7e0d233a40de4778e3126cc9ea5 --- /dev/null +++ b/frontend/assets/clarke_logo.svg @@ -0,0 +1,14 @@ + + + + + + + + + + + + + + diff --git a/frontend/assets/style.css b/frontend/assets/style.css new file mode 100644 index 0000000000000000000000000000000000000000..11cc479d6ca52c89bc34a603ceb85e529c66f775 --- /dev/null +++ b/frontend/assets/style.css @@ -0,0 +1,52 @@ +@import url('https://fonts.googleapis.com/css2?family=DM+Serif+Display:ital@0;1&family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap'); + +* { box-sizing: border-box; } + +html, body { + margin: 0 !important; + padding: 0 !important; + width: 100%; + min-height: 100vh; + font-family: 'Inter', sans-serif; + overflow-x: hidden !important; + background: #E8E4DD !important; +} + +.gradio-container, +.gradio-container > .main, +.gradio-container > .main > .wrap, +.gradio-container .contain, +.gradio-column { + max-width: 100% !important; + width: 100% !important; + padding: 0 !important; + margin: 0 !important; + gap: 0 !important; + background: transparent !important; +} + +#component-0 { max-width: 100% !important; padding: 0 !important; margin: 0 !important; } +footer { display: none !important; } + +@keyframes clarkeGradientFlow { + 0% { background-position: 50% 0%; } + 25% { background-position: 52% 2%; } + 50% { background-position: 48% 4%; } + 75% { background-position: 51% 1%; } + 100% { background-position: 50% 0%; } +} + +@keyframes recordPulse { + 0%, 100% { box-shadow: 0 0 0 0 rgba(212, 175, 55, 0.6); } + 50% { box-shadow: 0 0 0 24px rgba(212, 175, 55, 0); } +} + +@keyframes progressSpin { + 0% { transform: rotate(0deg); } + 100% { transform: rotate(360deg); } +} + +@keyframes progressGlow { + 0%, 100% { opacity: 0.6; } + 50% { opacity: 1; } +} diff --git a/frontend/components.py b/frontend/components.py new file mode 100644 index 0000000000000000000000000000000000000000..b58d8c23264e7c1f1474b5797c5d71f7857d3b98 --- /dev/null +++ b/frontend/components.py @@ -0,0 +1,280 @@ +"""HTML builders for Clarke frontend screens.""" + +from __future__ import annotations + +from datetime import date +from html import escape +from typing import Any + + +def _open_patient_click_js(index: int) -> str: + """Return debug-friendly JS snippet for dashboard patient button clicks. + + Args: + index (int): Dashboard patient-card index. + + Returns: + str: Inline JS IIFE for HTML onclick attributes. + """ + + return ( + "(function(){" + f"var el=document.getElementById('hidden-select-{index}');" + "if(!el){return;}" + "if(el.tagName==='BUTTON'){el.click();}else{" + "var btn=el.querySelector('button');" + "if(btn){btn.click();}" + "}" + "})()" + ) + + +def build_global_style_block() -> str: + """Return the global CSS block injected via gr.HTML. + + Args: + None: This function has no runtime inputs. + + Returns: + str: Complete style tag with animation keyframes and resets. + """ + + return """ + + +""" + + +def build_dashboard_html(clinic_payload: dict[str, Any], completed_patients: list[int] | None = None) -> str: + """Render the S1 dashboard markup with top gradient and white card area. + + Args: + clinic_payload (dict[str, Any]): Clinic roster and clinician metadata. + + Returns: + str: Complete HTML markup for the dashboard screen. + """ + + clinician = clinic_payload.get("clinician", {}) + _today = date.today().strftime("%d %B %Y") + completed_lookup = set(completed_patients or []) + cards: list[str] = [] + for index, patient in enumerate(clinic_payload.get("patients", [])): + click_js = _open_patient_click_js(index) + completed = index in completed_lookup + card_style = "opacity:0.55;" if completed else "" + hover_class = "completed-patient-card" if completed else "" + badge = "
✓ Complete
" if completed else "" + button_markup = ( + f"" + if completed + else f"" + ) + cards.append( + f""" +
+ {badge} +
+
+
+
{escape(str(patient.get('time', '--:--')))}
+
{escape(str(patient.get('name', 'Unknown patient')))}
+
{escape(str(patient.get('age', '')))} · {escape(str(patient.get('sex', '')))}
+
{escape(str(patient.get('summary', '')))}
+
+ {button_markup} +
+
+""" + ) + + return f""" + +
+
+
+
+
+ + + + + + + + + +
+ Clarke +
+
+ + 🔍 +
+
+
+ {escape(str(clinician.get('name', 'Dr. Sarah Chen')))} + {escape(str(clinician.get('specialty', 'General Practice')))} — {escape(_today)} +
+
+
+ {''.join(cards)} +
+
+""" + + +def build_status_badge_html(label: str, color: str) -> str: + """Build a rounded status badge. + + Args: + label (str): Badge text. + color (str): Accent color hex. + + Returns: + str: Badge HTML markup. + """ + + return f"
{escape(label)}
" + + +class _RenderedFragment: + """Lightweight rendered fragment container for legacy test compatibility.""" + + def __init__(self, value: str) -> None: + """Store rendered HTML fragment value.""" + + self.value = value + + +def build_patient_card(patient: dict[str, Any]) -> _RenderedFragment: + """Build a legacy patient card fragment for tests and compatibility helpers.""" + + markup = f"
{escape(str(patient.get('name', 'Unknown patient')))}
" + return _RenderedFragment(markup) + + +def build_status_badge(status: str) -> _RenderedFragment: + """Build a legacy status badge fragment for tests and compatibility helpers.""" + + css_class = "clarke-badge-review" if status == "ready" else "clarke-badge" + return _RenderedFragment(f"{escape(status)}") diff --git a/frontend/state.py b/frontend/state.py new file mode 100644 index 0000000000000000000000000000000000000000..1d9df5ba790c3e9bcb1ef40c67de992f098abc2b --- /dev/null +++ b/frontend/state.py @@ -0,0 +1,70 @@ +"""Frontend state helpers for Clarke screen navigation.""" + +from __future__ import annotations + +from typing import Any + +import gradio as gr + +SCREEN_ORDER: tuple[str, ...] = ("s1", "s2", "s3", "s4", "s5", "s6") + + +def initial_consultation_state() -> dict[str, Any]: + """Build the initial consultation state payload. + + Args: + None: This function has no input parameters. + + Returns: + dict[str, Any]: Default consultation state structure for gr.State. + """ + + return { + "screen": "s1", + "consultation": {"id": None, "status": "idle"}, + "selected_patient": None, + "patient_context": None, + "generated_document": None, + "signed_document_text": "", + "captured_audio_path": "", + "processing_started_at": None, + "processing_step": 0, + "processing_steps": [], + "recording_started_at": None, + "current_patient_index": 0, + "completed_patients": [], + "signed_letters": {}, + } + + +def show_screen(screen_name: str) -> tuple[dict[str, Any], dict[str, Any], dict[str, Any], dict[str, Any], dict[str, Any], dict[str, Any]]: + """Generate Gradio visibility updates for all six screen containers. + + Args: + screen_name (str): Screen identifier to display (s1-s6). + + Returns: + tuple[dict[str, Any], dict[str, Any], dict[str, Any], dict[str, Any], dict[str, Any], dict[str, Any]]: + Ordered Gradio `update` payloads matching SCREEN_ORDER. + """ + + if screen_name not in SCREEN_ORDER: + screen_name = "s1" + return tuple(gr.update(visible=name == screen_name) for name in SCREEN_ORDER) + + +def select_patient(state: dict[str, Any], patient: dict[str, Any]) -> dict[str, Any]: + """Update UI state after selecting a patient card. + + Args: + state (dict[str, Any]): Current application state object. + patient (dict[str, Any]): Selected patient summary payload. + + Returns: + dict[str, Any]: Updated state with selected patient and S2 screen target. + """ + + updated_state = dict(state or initial_consultation_state()) + updated_state["selected_patient"] = patient + updated_state["screen"] = "s2" + return updated_state diff --git a/frontend/theme.py b/frontend/theme.py new file mode 100644 index 0000000000000000000000000000000000000000..50d24a72b1e54c41993ebf7eff7efacee7170728 --- /dev/null +++ b/frontend/theme.py @@ -0,0 +1,45 @@ +"""Gradio theme configuration for Clarke UI.""" + +import gradio as gr + + +def create_clarke_theme() -> gr.themes.base.Base: + """Create the Clarke theme with explicit body/background overrides. + + Args: + None: No parameters are required. + + Returns: + gr.themes.base.Base: Configured theme object for the Clarke application. + """ + + return gr.themes.Base( + primary_hue=gr.themes.Color( + c50="#FFF9E6", + c100="#FFF3CC", + c200="#FFE799", + c300="#FFDB66", + c400="#F0D060", + c500="#D4AF37", + c600="#B8941F", + c700="#9A7B1A", + c800="#7C6215", + c900="#5E4910", + c950="#3F3010", + ), + font=gr.themes.GoogleFont("Inter"), + font_mono=gr.themes.GoogleFont("JetBrains Mono"), + ).set( + body_background_fill="#F8F6F1", + body_background_fill_dark="#F8F6F1", + background_fill_primary="#F8F6F1", + background_fill_secondary="transparent", + block_background_fill="transparent", + block_border_width="0px", + block_shadow="none", + layout_gap="0px", + block_padding="0px", + ) + + +clarke_theme = create_clarke_theme() diff --git a/frontend/ui.py b/frontend/ui.py new file mode 100644 index 0000000000000000000000000000000000000000..d97a6948f9c19a2750505e4678a0765bb8049a2c --- /dev/null +++ b/frontend/ui.py @@ -0,0 +1,941 @@ +"""Gradio UI layout for Clarke dashboard and end-to-end consultation flow.""" + +from __future__ import annotations + +import json +import os +import wave +from datetime import datetime, timezone +from html import escape +from pathlib import Path +from typing import Any + +import gradio as gr +import httpx + +from frontend.components import build_dashboard_html, build_global_style_block, build_status_badge_html +from frontend.state import initial_consultation_state, select_patient, show_screen +from frontend.theme import clarke_theme + +CLINIC_LIST_PATH = Path("data/clinic_list.json") +API_BASE_URL = os.getenv("CLARKE_API_BASE_URL", "http://127.0.0.1:7860/api/v1") + +CLARKE_HEAD = """ + + + +""" + +MOCK_PATIENT_CONTEXTS: dict[int, dict[str, Any]] = { + 0: { + "name": "Mrs. Margaret Thompson", + "age": 67, + "sex": "Female", + "dob": "15/03/1958", + "nhs": "943 476 2185", + "problems": ["Type 2 Diabetes Mellitus (E11.9)", "Essential Hypertension (I10)", "Hyperlipidaemia (E78.5)"], + "medications": ["Metformin 1g BD", "Lisinopril 10mg OD", "Atorvastatin 20mg ON", "Aspirin 75mg OD"], + "allergies": [{"name": "Penicillin", "reaction": "Anaphylaxis", "severity": "severe"}], + "labs": [ + {"test": "HbA1c", "value": "8.2%", "trend": "↑", "note": "target <7.0%", "date": "28/01/2026"}, + {"test": "eGFR", "value": "68 mL/min", "trend": "↓", "note": "prev 72", "date": "28/01/2026"}, + {"test": "Creatinine", "value": "98 µmol/L", "trend": "", "note": "", "date": "28/01/2026"}, + ], + }, + 1: { + "name": "Mr. Emeka Okafor", + "age": 54, + "sex": "Male", + "dob": "22/07/1971", + "nhs": "621 839 4057", + "problems": ["Coronary Artery Disease (I25.1)", "Post-PCI (Z95.5)", "Type 2 Diabetes (E11.9)"], + "medications": ["Clopidogrel 75mg OD", "Bisoprolol 5mg OD", "Atorvastatin 80mg ON", "Ramipril 5mg OD", "GTN spray PRN"], + "allergies": [], + "labs": [ + {"test": "Troponin I", "value": "<0.01 ng/mL", "trend": "", "note": "normal", "date": "05/02/2026"}, + {"test": "Total Cholesterol", "value": "4.2 mmol/L", "trend": "↓", "note": "prev 5.1", "date": "05/02/2026"}, + {"test": "HbA1c", "value": "7.1%", "trend": "", "note": "at target", "date": "10/01/2026"}, + ], + }, + 2: { + "name": "Ms. Priya Patel", + "age": 28, + "sex": "Female", + "dob": "03/11/1997", + "nhs": "754 213 8690", + "problems": ["Asthma (J45.9) — poorly controlled", "Allergic Rhinitis (J30.1)"], + "medications": ["Salbutamol 100µg MDI PRN", "Beclometasone 200µg BD", "Montelukast 10mg ON", "Cetirizine 10mg OD"], + "allergies": [{"name": "NSAIDs", "reaction": "Bronchospasm", "severity": "moderate"}], + "labs": [ + {"test": "Peak Flow", "value": "320 L/min", "trend": "↓", "note": "predicted 450", "date": "01/02/2026"}, + {"test": "Eosinophils", "value": "0.6 × 10⁹/L", "trend": "↑", "note": "elevated", "date": "01/02/2026"}, + ], + }, + 3: { + "name": "Mr. David Williams", + "age": 72, + "sex": "Male", + "dob": "19/06/1953", + "nhs": "482 917 3564", + "problems": ["Heart Failure with reduced EF (I50.2)", "Atrial Fibrillation (I48.0)", "CKD Stage 3 (N18.3)"], + "medications": ["Furosemide 40mg OD", "Ramipril 2.5mg OD", "Bisoprolol 2.5mg OD", "Apixaban 5mg BD", "Spironolactone 25mg OD"], + "allergies": [{"name": "ACE inhibitor cough", "reaction": "Persistent dry cough", "severity": "mild"}], + "labs": [ + {"test": "BNP", "value": "890 pg/mL", "trend": "↑", "note": "prev 450", "date": "10/02/2026"}, + {"test": "eGFR", "value": "38 mL/min", "trend": "↓", "note": "prev 45", "date": "10/02/2026"}, + {"test": "K+", "value": "5.1 mmol/L", "trend": "↑", "note": "monitor", "date": "10/02/2026"}, + ], + }, + 4: { + "name": "Mrs. Fatima Khan", + "age": 45, + "sex": "Female", + "dob": "08/09/1980", + "nhs": "318 645 7923", + "problems": ["Major Depressive Disorder (F32.1)", "Generalised Anxiety Disorder (F41.1)", "Vitamin D Deficiency (E55.9)"], + "medications": ["Sertraline 100mg OD", "Vitamin D3 800 IU OD", "Zopiclone 3.75mg PRN"], + "allergies": [], + "labs": [ + {"test": "TSH", "value": "2.1 mIU/L", "trend": "", "note": "normal", "date": "20/01/2026"}, + {"test": "Vitamin D", "value": "32 nmol/L", "trend": "↑", "note": "prev 18, improving", "date": "20/01/2026"}, + {"test": "FBC", "value": "Normal", "trend": "", "note": "", "date": "20/01/2026"}, + ], + }, +} + + +def _hidden_click_js(elem_id: str, action_label: str) -> str: + """Return debug-friendly JS snippet that clicks hidden Gradio wrappers. + + Args: + elem_id (str): DOM id assigned via the hidden button `elem_id`. + action_label (str): Human-readable action label for console diagnostics. + + Returns: + str: Inline JavaScript for HTML onclick handlers. + """ + + return ( + "(function(){" + f"console.log('Clarke: {action_label} button clicked');" + f"var el=document.getElementById('{elem_id}');" + "console.log('Clarke: Found element:', el);" + "if(!el){" + f"console.error('Clarke: Element #{elem_id} not found in DOM');" + "return;" + "}" + "if(el.tagName==='BUTTON'){" + "el.click();" + "console.log('Clarke: Clicked element directly (it IS the button)');" + "}else{" + "var btn=el.querySelector('button');" + "if(btn){" + "btn.click();" + "console.log('Clarke: Clicked inner button');" + "}else{" + f"console.error('Clarke: No clickable button found for #{elem_id}');" + "}" + "}" + "})()" + ) + + +def load_clinic_list(path: Path = CLINIC_LIST_PATH) -> dict[str, Any]: + """Load clinic list data for dashboard rendering. + + Args: + path (Path): Path to clinic roster JSON file. + + Returns: + dict[str, Any]: Clinic metadata and patient list payload. + """ + + with path.open("r", encoding="utf-8") as handle: + return json.load(handle) + + +def _api_request(method: str, endpoint: str, **kwargs: Any) -> Any: + """Execute an HTTP request to the Clarke backend API. + + Args: + method (str): HTTP method name. + endpoint (str): API path beginning with '/'. + **kwargs (Any): Additional request keyword arguments. + + Returns: + Any: Parsed JSON response payload. + """ + + timeout = kwargs.pop("timeout", 30.0) + with httpx.Client(timeout=timeout) as client: + response = client.request(method, f"{API_BASE_URL}{endpoint}", **kwargs) + response.raise_for_status() + return response.json() + + +def _trend_symbol(trend: str) -> str: + """Map trend labels to compact visual symbols.""" + + trend_l = (trend or "").strip().lower() + if trend_l in {"rising", "up", "↑"}: + return " ↑" + if trend_l in {"falling", "down", "↓"}: + return " ↓" + return " →" + + +def _safe_datetime_from_iso(value: Any) -> datetime: + """Parse datetime safely, avoiding None/'None' isoformat errors.""" + + raw_value = str(value).strip() if value is not None else "" + if not raw_value or raw_value == "None": + return datetime.now(tz=timezone.utc) + try: + return datetime.fromisoformat(raw_value) + except ValueError: + return datetime.now(tz=timezone.utc) + + +def _mock_context_for_index(patient_index: int) -> dict[str, Any]: + """Build frontend mock patient context for deterministic S2 rendering.""" + + payload = MOCK_PATIENT_CONTEXTS.get(patient_index, MOCK_PATIENT_CONTEXTS[0]) + return { + "demographics": { + "name": payload["name"], + "age": payload["age"], + "sex": payload["sex"], + "dob": payload["dob"], + "nhs_number": payload["nhs"], + }, + "problem_list": payload["problems"], + "medications": [ + {"name": med, "dose": "", "frequency": ""} for med in payload["medications"] + ], + "allergies": [ + {"substance": item["name"], "reaction": f"{item['reaction']} ({item['severity']})"} + for item in payload["allergies"] + ], + "recent_labs": [ + { + "name": lab["test"], + "value": lab["value"], + "unit": "", + "trend": lab["trend"], + "date": lab["date"], + "note": lab["note"], + } + for lab in payload["labs"] + ], + } + + +def _format_patient_context_html(context: dict[str, Any]) -> str: + """Render patient context cards for S2 inside a unified content block.""" + + demographics = context.get("demographics", {}) + problem_list = context.get("problem_list", []) + medications = context.get("medications", []) + allergies = context.get("allergies", []) + labs = context.get("recent_labs", []) + + age = demographics.get("age") + demo_items = [ + f"

{escape(str(demographics.get('name', 'Unknown')))}

", + f"

{escape(str(age if age is not None else 'N/A'))} · {escape(str(demographics.get('sex', 'N/A')))}

", + f"

DOB: {escape(str(demographics.get('dob', 'N/A')))}

", + f"

NHS: {escape(str(demographics.get('nhs_number', 'N/A')))}

", + ] + + def _card(title: str, body: str, span_two: bool = False) -> str: + span_style = "grid-column:span 2;" if span_two else "" + return ( + "
" + f"

{title}

{body}
" + ) + + problems = "".join(f"

{escape(str(item))}

" for item in problem_list) or "

No active problems

" + meds = "".join( + f"

{escape(str(m.get('name', 'Medication')))} {escape(str(m.get('dose', '')))} {escape(str(m.get('frequency', '')))}

" + for m in medications + ) or "

None documented

" + allergy_markup = "".join( + f"

⚠ {escape(str(a.get('substance', 'Unknown')))} — {escape(str(a.get('reaction', 'Reaction not recorded')))}

" + for a in allergies + ) or "

No known allergies

" + lab_markup = "".join( + f"

{escape(str(l.get('name', 'Lab')))}: {escape(str(l.get('value', '')))} {escape(str(l.get('unit', '')))}{_trend_symbol(str(l.get('trend', 'stable')))}

" + for l in labs + ) or "

No recent labs

" + + return "".join( + [ + _card("Demographics", "".join(demo_items)), + _card("Problem List", problems), + _card("Medications", meds), + _card("Allergies", allergy_markup), + _card("Recent Labs", lab_markup, span_two=True), + ] + ) + + +def _context_screen_html(patient: dict[str, Any], context: dict[str, Any]) -> str: + """Build S2 shell + actions + context in one full-screen HTML block.""" + + name = escape(str(patient.get("name", "Patient"))) + context_cards = _format_patient_context_html(context) + return f"""

Patient Context — {name}

{context_cards}
""" + +def _recording_screen_html(timer_text: str) -> str: + """Render S3 recording screen in full-screen warm-white layout.""" + + return f"""
Recording
{escape(timer_text)}
""" + +def _processing_screen_html(stage_number: int, stage_label: str, stage_description: str, elapsed: str) -> str: + """Render S4 processing screen in full-screen warm-white layout.""" + + return f"""
{stage_number}/3
{escape(stage_label)}
{escape(stage_description)}
{escape(elapsed)}
""" + +def _build_generated_document(state: dict[str, Any]) -> dict[str, Any]: + """Create an NHS-format clinic letter for S5/S6 review.""" + + selected_patient = (state or {}).get("selected_patient") or {} + patient_context = (state or {}).get("patient_context") or {} + demographics = patient_context.get("demographics", {}) + labs = patient_context.get("recent_labs", []) + problems = patient_context.get("problem_list", []) + meds = patient_context.get("medications", []) + + patient_name = str(demographics.get("name") or selected_patient.get("name") or "Patient") + dob = str(demographics.get("dob") or "Unknown") + nhs = str(demographics.get("nhs_number") or "Unknown") + today = datetime.now().strftime("%d %B %Y") + gp_name = "Andrew Wilson" + address = "Riverside Medical Practice\n14 Harcourt Street\nLondon" + + investigations = "\n".join( + f"- {lab.get('name', 'Test')}: {lab.get('value', '')} {lab.get('unit', '')} ({lab.get('date', '')})".strip() + for lab in labs + ) or "- No recent investigations available" + medication_line = ", ".join(m.get("name", "") for m in meds if m.get("name")) + main_problem = problems[0] if problems else "ongoing clinical concerns" + + if "Margaret Thompson" in patient_name: + history = "She attended for diabetes and cardiovascular risk review with persistent hyperglycaemia despite current therapy. She reports reduced activity tolerance and occasional post-prandial fatigue over recent weeks." + assessment = "Suboptimal glycaemic control with HbA1c 8.2% in the context of known type 2 diabetes, hypertension, and hyperlipidaemia. Renal function remains acceptable but trending down." + plan_lines = [ + "Increase metformin optimisation counselling and initiate structured diabetic diet support.", + "Arrange repeat HbA1c, renal profile, and urine ACR in 8 weeks.", + "Continue lisinopril/atorvastatin/aspirin and monitor blood pressure weekly.", + ] + else: + history = f"I reviewed {patient_name} regarding {main_problem.lower()} and ongoing symptom burden in clinic. The patient reports variable day-to-day control and is keen for treatment optimisation." + assessment = f"Current presentation is consistent with {main_problem.lower()}, requiring continued medication review and follow-up." + plan_lines = [ + "Continue current treatment with safety-netting advice.", + "Repeat key blood tests prior to next follow-up.", + "Review in specialist clinic to reassess response and escalation needs.", + ] + + letter_text = ( + f"{today}\n\n" + f"Dr {gp_name}\n" + f"{address}\n\n" + f"Dear Dr {gp_name},\n\n" + f"Re: {patient_name} (DOB: {dob}, NHS: {nhs})\n" + f" {address}\n\n" + f"Thank you for referring / I reviewed {patient_name} in General Practice Clinic on {today}.\n\n" + "History of Presenting Complaint\n" + f"{history}\n\n" + "Examination\n" + "The patient was comfortable at rest, haemodynamically stable, and clinically euvolaemic on examination. No acute red-flag findings were identified today.\n\n" + "Investigations\n" + f"{investigations}\n\n" + "Assessment\n" + f"{assessment}\n\n" + "Plan\n" + + "\n".join(f"{i + 1}. {line}" for i, line in enumerate(plan_lines)) + + f"\n\nI will review {patient_name} in 8 weeks. Please do not hesitate to contact us if there are any concerns in the interim.\n\n" + "Yours sincerely,\n\n" + "Dr Sarah Chen\n" + "Consultant, General Practice\n" + "Clarke NHS Trust" + ) + + sections = [ + {"heading": "NHS Clinic Letter", "content": letter_text}, + {"heading": "Clinical Issues", "content": "\n".join(f"- {item}" for item in problems) or "- None listed"}, + {"heading": "Current Medications", "content": medication_line or "None documented"}, + {"heading": "Follow-up", "content": "Review in 8 weeks with repeat investigations."}, + ] + return { + "title": "NHS Clinic Letter", + "status": "ready_for_review", + "sections": sections, + "patient_name": patient_name, + "nhs_number": nhs, + } + + +def _render_letter_sections(letter_sections: list[dict[str, str]]) -> tuple[str, str, str, str]: + """Map generated letter sections onto fixed textbox outputs. + + Combines all sections into section 1 as the full editable letter. + Sections 2-4 are hidden and returned empty. + + Args: + letter_sections (list[dict[str, str]]): Ordered letter sections. + + Returns: + tuple[str, str, str, str]: Combined letter in slot 1, empty slots 2-4. + """ + + combined = "\n\n".join( + f"{s.get('heading', '')}\n{s.get('content', '').strip()}".strip() + for s in letter_sections + if s.get('content', '').strip() + ) + return (combined, "", "", "") + + +def _handle_patient_selection(state: dict[str, Any], patient_index: int): + """Update state and call backend context endpoint when a patient index is selected. + + Args: + state (dict[str, Any]): Current UI session state. + patient_index (int): Selected patient index from the dashboard. + + Returns: + tuple[...]: Updated state, feedback, context HTML, context shell HTML, and visibility updates. + """ + + clinic_payload = load_clinic_list() + patients = clinic_payload.get("patients", []) + if patient_index < 0 or patient_index >= len(patients): + return state, "Patient selection failed: patient index out of range.", _context_screen_html({}, {}), "", "", "", "", "", gr.update(), *show_screen("s1") + + patient = patients[patient_index] + updated_state = select_patient(state, patient) + updated_state['current_patient_index'] = patient_index + patient_id = str(patient.get("id", "")) + if os.getenv("USE_MOCK_FHIR", "").lower() == "true": + context = _mock_context_for_index(patient_index) + feedback = f"Loaded mock patient context for {patient['name']} ({patient_id})." + else: + try: + context = _api_request("POST", f"/patients/{patient_id}/context") + except Exception as exc: + context = _mock_context_for_index(patient_index) + feedback = f"Patient selected with frontend mock context fallback: {exc}" + else: + feedback = f"Loaded patient context for {patient['name']} ({patient_id})." + + updated_state["patient_context"] = context + + completed_patients = set(updated_state.get("completed_patients", [])) + if patient_index in completed_patients: + generated = updated_state.get("signed_letters", {}).get(str(patient_index), "") + if generated: + updated_state["signed_document_text"] = generated + updated_state["screen"] = "s5" + return updated_state, f"Opened completed patient {patient['name']} in Document Review.", _context_screen_html(patient, context), generated, "", "", "", f"
{escape(generated)}
", "Previously signed letter loaded for review.", *show_screen("s5") + + return updated_state, feedback, _context_screen_html(patient, context), "", "", "", "", "", gr.update(), *show_screen("s2") + + +def _handle_back_to_dashboard(state): + """Navigate from context screen back to dashboard. + + Args: + state (dict[str, Any]): Current application state. + + Returns: + tuple[...]: Updated state, feedback text, and visibility updates. + """ + + updated_state = dict(state or initial_consultation_state()) + updated_state["screen"] = "s1" + return updated_state, "Returned to dashboard.", *show_screen("s1") + + +def _handle_start_consultation(state): + """Start consultation by calling backend and storing consultation ID. + + Args: + state (dict[str, Any]): Current application state. + + Returns: + tuple[...]: Updated state, feedback, recording HTML, timer tick update, and visibility updates. + """ + + updated_state = dict(state or initial_consultation_state()) + patient_id = str((updated_state.get("selected_patient") or {}).get("id", "")) + if not patient_id: + return updated_state, "Please select a patient first.", _recording_screen_html("00:00"), gr.update(active=False), *show_screen("s1") + + try: + payload = _api_request("POST", "/consultations/start", json={"patient_id": patient_id}) + except Exception as exc: + return updated_state, f"Failed to start consultation: {exc}", _recording_screen_html("00:00"), gr.update(active=False), *show_screen("s2") + + updated_state["consultation"] = {"id": payload.get("consultation_id"), "status": payload.get("status", "recording")} + updated_state["recording_started_at"] = datetime.now(tz=timezone.utc).isoformat() + updated_state["screen"] = "s3" + return updated_state, "Consultation recording started.", _recording_screen_html("00:00"), gr.update(active=True), *show_screen("s3") + + +def _update_recording_timer(state): + """Compute MM:SS elapsed timer value for the active consultation recording. + + Args: + state (dict[str, Any]): Current UI state containing recording start metadata. + + Returns: + str: HTML with elapsed timer. + """ + + started_at = str((state or {}).get("recording_started_at", "")).strip() + if not started_at: + return _recording_screen_html("00:00") + elapsed_s = max(int((datetime.now(tz=timezone.utc) - _safe_datetime_from_iso(started_at)).total_seconds()), 0) + minutes, seconds = divmod(elapsed_s, 60) + return _recording_screen_html(f"{minutes:02d}:{seconds:02d}") + + +def _stage_from_pipeline(stage: str) -> tuple[int, str, str]: + """Map backend pipeline stage to display values. + + Args: + stage (str): Backend pipeline stage value. + + Returns: + tuple[int, str, str]: Stage number, label, and description. + """ + + mapping = { + "transcribing": (1, "Finalising transcript…", "MedASR processing audio"), + "retrieving_context": (2, "Synthesising patient context…", "MedGemma 4B querying records"), + "generating_document": (3, "Generating clinical letter…", "MedGemma 27B composing document"), + "complete": (3, "Generating clinical letter…", "MedGemma 27B composing document"), + } + return mapping.get(stage, mapping["transcribing"]) + + + + +def _ensure_mock_audio_file(audio_path: str | None) -> str | None: + """Create a short silent WAV when running in mock mode and no audio was captured.""" + + if audio_path: + return audio_path + if os.getenv("MEDASR_MODEL_ID", "").lower() != "mock": + return None + + upload_dir = Path("data/uploads/mock") + upload_dir.mkdir(parents=True, exist_ok=True) + silent_path = upload_dir / "silent.wav" + with wave.open(str(silent_path), "wb") as wav_file: + wav_file.setnchannels(1) + wav_file.setsampwidth(2) + wav_file.setframerate(16000) + wav_file.writeframes(b"\x00\x00" * (16000 * 6)) + return str(silent_path) + + +def _start_processing(state, audio_path): + """Upload audio and end consultation, then transition to processing screen. + + Args: + state (dict[str, Any]): Current UI state. + audio_path (str | None): File path returned by Gradio audio component. + + Returns: + tuple[...]: Updated state, feedback, processing HTML, timer update, and visibility updates. + """ + + updated_state = dict(state or initial_consultation_state()) + raw_consultation_id = (updated_state.get("consultation") or {}).get("id") + consultation_id = str(raw_consultation_id) if raw_consultation_id is not None else "" + if not consultation_id: + return updated_state, "Consultation session is missing. Start consultation again.", _processing_screen_html(1, "Finalising transcript…", "MedASR processing audio", "Elapsed: 00:00"), gr.update(active=False), *show_screen("s3") + + resolved_audio_path = _ensure_mock_audio_file(audio_path) + if not resolved_audio_path: + return updated_state, "Please capture audio before ending consultation.", _processing_screen_html(1, "Finalising transcript…", "MedASR processing audio", "Elapsed: 00:00"), gr.update(active=False), *show_screen("s3") + + if os.getenv("MEDASR_MODEL_ID", "").lower() == "mock": + updated_state["captured_audio_path"] = resolved_audio_path + updated_state["processing_started_at"] = datetime.now(tz=timezone.utc).isoformat() + updated_state["consultation"] = updated_state.get("consultation") or {} + updated_state["consultation"]["id"] = "" + updated_state["consultation"]["status"] = "processing" + updated_state["screen"] = "s4" + return updated_state, "Consultation ended. Processing audio and generating document.", _processing_screen_html(1, "Finalising transcript…", "MedASR processing audio", "Elapsed: 00:00"), gr.update(active=True), *show_screen("s4") + + try: + with Path(resolved_audio_path).open("rb") as stream: + _api_request("POST", f"/consultations/{consultation_id}/audio", files={"audio_file": (Path(resolved_audio_path).name, stream, "audio/wav")}, data={"is_final": "true"}, timeout=120.0) + _api_request("POST", f"/consultations/{consultation_id}/end", timeout=180.0) + except Exception as exc: + return updated_state, f"Failed to end consultation: {exc}", _processing_screen_html(1, "Finalising transcript…", "MedASR processing audio", "Elapsed: 00:00"), gr.update(active=False), *show_screen("s3") + + updated_state["captured_audio_path"] = resolved_audio_path + updated_state["processing_started_at"] = datetime.now(tz=timezone.utc).isoformat() + updated_state["consultation"]["status"] = "processing" + updated_state["screen"] = "s4" + return updated_state, "Consultation ended. Processing audio and generating document.", _processing_screen_html(1, "Finalising transcript…", "MedASR processing audio", "Elapsed: 00:00"), gr.update(active=True), *show_screen("s4") + + +def _poll_processing_progress(state): + """Poll backend consultation progress and transition to review when complete. + + Args: + state (dict[str, Any]): Current state containing consultation metadata. + + Returns: + tuple[...]: Updated state and UI updates for processing/review screens. + """ + + updated_state = dict(state or initial_consultation_state()) + consultation_id = str((updated_state.get("consultation") or {}).get("id", "")) + started_at = str(updated_state.get("processing_started_at", "") or "") + elapsed = "Elapsed: 00:00" + if started_at: + elapsed_s = max(int((datetime.now(tz=timezone.utc) - _safe_datetime_from_iso(started_at)).total_seconds()), 0) + minutes, seconds = divmod(elapsed_s, 60) + elapsed = f"Elapsed: {minutes:02d}:{seconds:02d}" + + if not consultation_id: + doc = _build_generated_document(updated_state) + updated_state["generated_document"] = doc + updated_state["consultation"] = updated_state.get("consultation") or {"id": None, "status": "review"} + updated_state["consultation"]["status"] = "review" + updated_state["screen"] = "s5" + s1, s2, s3, s4 = _render_letter_sections(doc.get("sections", [])) + fhir = "" + return updated_state, "Processing complete. Review the generated clinic letter.", _processing_screen_html(3, "Generating clinical letter…", "MedGemma 27B composing document", elapsed), gr.update(active=False), s1, s2, s3, s4, fhir, *show_screen("s5") + + try: + progress = _api_request("GET", f"/consultations/{consultation_id}/progress") + except Exception as exc: + return updated_state, f"Progress polling failed: {exc}", _processing_screen_html(1, "Finalising transcript…", "MedASR processing audio", elapsed), gr.update(active=False), gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), *show_screen("s4") + + stage_number, stage_label, stage_description = _stage_from_pipeline(str(progress.get("stage", "transcribing"))) + if str(progress.get("stage", "")) != "complete": + return updated_state, f"Processing in progress: {stage_label}", _processing_screen_html(stage_number, stage_label, stage_description, elapsed), gr.update(active=True), gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), *show_screen("s4") + + document_payload = _api_request("GET", f"/consultations/{consultation_id}/document").get("document") or _build_generated_document(updated_state) + updated_state["generated_document"] = document_payload + updated_state["consultation"]["status"] = "review" + updated_state["screen"] = "s5" + s1, s2, s3, s4 = _render_letter_sections(document_payload.get("sections", [])) + fhir = "
".join( + [ + f"NHS: {escape(str(document_payload.get('nhs_number', 'N/A')))}", + f"Patient: {escape(str(document_payload.get('patient_name', 'N/A')))}", + ] + ) + return updated_state, "Processing complete. Review the generated clinic letter.", _processing_screen_html(3, "Generating clinical letter…", "MedGemma 27B composing document", elapsed), gr.update(active=False), s1, s2, s3, s4, fhir, *show_screen("s5") + + +def _regenerate_document(state): + """Restart processing view before polling backend completion status again. + + Args: + state (dict[str, Any]): Current UI state. + + Returns: + tuple[...]: Updated state and screen visibility updates. + """ + + updated_state = dict(state or initial_consultation_state()) + updated_state["processing_started_at"] = datetime.now(tz=timezone.utc).isoformat() + updated_state["consultation"]["status"] = "processing" + updated_state["screen"] = "s4" + return updated_state, "Regenerating entire clinic letter.", _processing_screen_html(1, "Finalising transcript…", "MedASR processing audio", "Elapsed: 00:00"), gr.update(active=True), *show_screen("s4") + + +def _cancel_processing(state): + """Cancel processing workflow and return to live consultation screen. + + Args: + state (dict[str, Any]): Current UI state. + + Returns: + tuple[...]: Updated state, feedback, and visibility updates. + """ + + updated_state = dict(state or initial_consultation_state()) + updated_state["screen"] = "s3" + updated_state["consultation"]["status"] = "recording" + return updated_state, "Processing cancelled. Returned to consultation.", gr.update(active=False), *show_screen("s3") + + +def _sign_off_document(state, section_1, section_2, section_3, section_4): + """Persist edited sections to backend sign-off endpoint and show final letter. + + Args: + state (dict[str, Any]): Current UI state. + section_1 (str): Edited section one text. + section_2 (str): Edited section two text. + section_3 (str): Edited section three text. + section_4 (str): Edited section four text. + + Returns: + tuple[...]: Updated state and signed-off UI content. + """ + + updated_state = dict(state or initial_consultation_state()) + raw_consultation_id = (updated_state.get("consultation") or {}).get("id") + consultation_id = str(raw_consultation_id) if raw_consultation_id is not None else "" + edited_sections = [section_1, section_2, section_3, section_4] + payload_sections: list[dict[str, str]] = [] + for index, section_text in enumerate(edited_sections): + if not section_text.strip(): + continue + lines = section_text.splitlines() + heading = lines[0].strip() if lines else f"Section {index + 1}" + content = "\n".join(lines[1:]).strip() if len(lines) > 1 else "" + payload_sections.append({"heading": heading, "content": content}) + + if consultation_id: + try: + _api_request("POST", f"/consultations/{consultation_id}/document/sign-off", json={"sections": payload_sections}) + except Exception as exc: + return updated_state, f"Sign-off failed: {exc}", gr.update(), "", gr.update(), *show_screen("s5") + + signed_letter = section_1.strip() if section_1 and section_1.strip() else "\n\n".join(part.strip() for part in edited_sections if part and part.strip()) + + updated_state["signed_document_text"] = signed_letter + selected_index = int(updated_state.get('current_patient_index', 0)) + signed_letters = dict(updated_state.get('signed_letters', {})) + signed_letters[str(selected_index)] = signed_letter + updated_state['signed_letters'] = signed_letters + if "consultation" not in updated_state or not isinstance(updated_state.get("consultation"), dict): + updated_state["consultation"] = {"id": None, "status": "idle"} + updated_state["consultation"]["status"] = "signed_off" + updated_state["screen"] = "s6" + export_path = Path("data") / "demo" / "latest_signed_letter.txt" + export_path.write_text(signed_letter + "\n", encoding="utf-8") + signed_html = f"
{escape(signed_letter)}
" + return updated_state, "Document signed off. You can now copy or download the letter.", signed_html, signed_letter, gr.update(value=str(export_path)), *show_screen("s6") + + + +def _copy_signed_document(state): + """Refresh copy textbox payload for signed letter actions. + + Args: + state (dict[str, Any]): Current UI state. + + Returns: + tuple[dict[str, Any], str, str]: State, status message, and copy text payload. + """ + + updated_state = dict(state or initial_consultation_state()) + signed_text = str(updated_state.get("signed_document_text") or "") + if not signed_text: + return updated_state, "No signed letter available to copy yet.", "" + return updated_state, "Letter content refreshed for copy.", signed_text + + +def _prepare_signed_download(state): + """Refresh downloadable signed-letter text artifact. + + Args: + state (dict[str, Any]): Current UI state. + + Returns: + tuple[dict[str, Any], str, Any]: State, status message, and file update. + """ + + updated_state = dict(state or initial_consultation_state()) + signed_text = str(updated_state.get("signed_document_text") or "") + if not signed_text: + return updated_state, "No signed letter available to download yet.", gr.update(value=None) + + export_path = Path("data") / "demo" / "latest_signed_letter.txt" + export_path.write_text(signed_text + "\n", encoding="utf-8") + return updated_state, "Download file refreshed.", gr.update(value=str(export_path)) + +def _next_patient(state): + """Reset consultation workflow and return to dashboard after sign-off. + + Args: + state (dict[str, Any]): Current UI state. + + Returns: + tuple[...]: Reset state and cleared UI content updates. + """ + + updated_state = dict(state or initial_consultation_state()) + completed = set(updated_state.get('completed_patients', [])) + current_index = int(updated_state.get('current_patient_index', 0)) + completed.add(current_index) + updated_state['completed_patients'] = sorted(completed) + dashboard = build_dashboard_html(load_clinic_list(), completed_patients=updated_state['completed_patients']) + + refreshed_state = initial_consultation_state() + refreshed_state['completed_patients'] = updated_state['completed_patients'] + refreshed_state['signed_letters'] = dict(updated_state.get('signed_letters', {})) + return refreshed_state, "Ready for next patient. Please select a patient card.", "", "", "", "", "", "", dashboard, *show_screen("s1") + + +def build_ui() -> gr.Blocks: + """Build the primary Clarke UI blocks for the dashboard flow. + + Args: + None: Function reads local static assets and clinic JSON data. + + Returns: + gr.Blocks: Configured Gradio Blocks application. + """ + + clinic_payload = load_clinic_list() + + with gr.Blocks(theme=clarke_theme, css=Path("frontend/assets/style.css").read_text(encoding="utf-8"), title="Clarke", head=CLARKE_HEAD) as demo: + app_state = gr.State(initial_consultation_state()) + gr.HTML(build_global_style_block()) + feedback_text = gr.Markdown("", visible=False) + + with gr.Column(visible=False) as screen_s2: + context_screen_html = gr.HTML(_context_screen_html({}, {})) + hidden_start_button = gr.Button("hidden-start-consultation", visible=True, elem_id="hidden-start-consultation") + hidden_back_button = gr.Button("hidden-back", visible=True, elem_id="hidden-back") + + with gr.Column(visible=False) as screen_s3: + recording_html = gr.HTML(_recording_screen_html("00:00")) + consultation_audio = gr.Audio(sources=["microphone"], streaming=False, type="filepath", label="Consultation Audio", elem_id="clarke-audio-input") + recording_tick = gr.Timer(value=1.0, active=False) + gr.HTML("""
""") + hidden_end_btn = gr.Button("hidden-end-consultation", visible=True, elem_id="hidden-end-consultation") + + with gr.Column(visible=False) as screen_s4: + processing_html = gr.HTML(_processing_screen_html(1, "Finalising transcript…", "MedASR processing audio", "Elapsed: 00:00")) + processing_tick = gr.Timer(value=1.0, active=False) + hidden_cancel_button = gr.Button("hidden-cancel", visible=True, elem_id="hidden-cancel") + + with gr.Column(visible=False) as screen_s5: + gr.HTML("

Document Review

") + review_status_badge = gr.HTML(build_status_badge_html("✎ Ready for Review", "#F59E0B")) + review_fhir_values = gr.HTML("FHIR values appear here.") + section_one_text = gr.Textbox(label="NHS Clinic Letter", lines=20, interactive=True) + section_two_text = gr.Textbox(label="Section 2", lines=5, interactive=True, visible=False) + section_three_text = gr.Textbox(label="Section 3", lines=5, interactive=True, visible=False) + section_four_text = gr.Textbox(label="Section 4", lines=5, interactive=True, visible=False) + hidden_regenerate_button = gr.Button("hidden-regenerate", visible=True, elem_id="hidden-regenerate") + gr.HTML("
") + gr.HTML("""
""") + hidden_sign_off_btn = gr.Button("hidden-sign-off", visible=True, elem_id="hidden-sign-off") + + with gr.Column(visible=False) as screen_s6: + gr.HTML("") + signed_status_badge = gr.HTML(build_status_badge_html("✓ Signed Off", "#22C55E")) + signed_letter_html = gr.HTML("") + copy_to_clipboard_text = gr.Textbox(label="Copy to Clipboard", interactive=False, visible=False) + download_text_file = gr.File(label="Download as Text", visible=False) + hidden_copy_button = gr.Button("hidden-copy", visible=True, elem_id="hidden-copy") + hidden_download_button = gr.Button("hidden-download", visible=True, elem_id="hidden-download") + gr.HTML("""
""") + gr.HTML("""
""") + hidden_next_patient_btn = gr.Button("hidden-next-patient", visible=True, elem_id="hidden-next-patient") + + with gr.Column(visible=True) as screen_s1: + dashboard_html = gr.HTML(build_dashboard_html(clinic_payload)) + hidden_patient_buttons: list[gr.Button] = [] + for i in range(5): + hidden_patient_buttons.append(gr.Button(f"hidden-select-{i}", elem_id=f"hidden-select-{i}", visible=True)) + + for i, hidden_btn in enumerate(hidden_patient_buttons): + hidden_btn.click( + fn=lambda state, idx=i: _handle_patient_selection(state, idx), + inputs=[app_state], + outputs=[app_state, feedback_text, context_screen_html, section_one_text, section_two_text, section_three_text, section_four_text, signed_letter_html, review_fhir_values, screen_s1, screen_s2, screen_s3, screen_s4, screen_s5, screen_s6], + show_progress="full", + ) + + hidden_back_button.click(_handle_back_to_dashboard, inputs=[app_state], outputs=[app_state, feedback_text, screen_s1, screen_s2, screen_s3, screen_s4, screen_s5, screen_s6], show_progress="hidden") + hidden_start_button.click(_handle_start_consultation, inputs=[app_state], outputs=[app_state, feedback_text, recording_html, recording_tick, screen_s1, screen_s2, screen_s3, screen_s4, screen_s5, screen_s6], show_progress="hidden") + recording_tick.tick(_update_recording_timer, inputs=[app_state], outputs=[recording_html], show_progress="hidden") + hidden_end_btn.click(_start_processing, inputs=[app_state, consultation_audio], outputs=[app_state, feedback_text, processing_html, processing_tick, screen_s1, screen_s2, screen_s3, screen_s4, screen_s5, screen_s6], show_progress="full") + processing_tick.tick(_poll_processing_progress, inputs=[app_state], outputs=[app_state, feedback_text, processing_html, processing_tick, section_one_text, section_two_text, section_three_text, section_four_text, review_fhir_values, screen_s1, screen_s2, screen_s3, screen_s4, screen_s5, screen_s6], show_progress="hidden") + hidden_cancel_button.click(_cancel_processing, inputs=[app_state], outputs=[app_state, feedback_text, processing_tick, screen_s1, screen_s2, screen_s3, screen_s4, screen_s5, screen_s6], show_progress="hidden") + hidden_regenerate_button.click(_regenerate_document, inputs=[app_state], outputs=[app_state, feedback_text, processing_html, processing_tick, screen_s1, screen_s2, screen_s3, screen_s4, screen_s5, screen_s6], show_progress="full") + hidden_sign_off_btn.click(_sign_off_document, inputs=[app_state, section_one_text, section_two_text, section_three_text, section_four_text], outputs=[app_state, feedback_text, signed_letter_html, copy_to_clipboard_text, download_text_file, screen_s1, screen_s2, screen_s3, screen_s4, screen_s5, screen_s6], show_progress="full") + hidden_copy_button.click(_copy_signed_document, inputs=[app_state], outputs=[app_state, feedback_text, copy_to_clipboard_text], show_progress="hidden") + hidden_download_button.click(_prepare_signed_download, inputs=[app_state], outputs=[app_state, feedback_text, download_text_file], show_progress="hidden") + hidden_next_patient_btn.click(_next_patient, inputs=[app_state], outputs=[app_state, feedback_text, section_one_text, section_two_text, section_three_text, section_four_text, signed_letter_html, copy_to_clipboard_text, dashboard_html, screen_s1, screen_s2, screen_s3, screen_s4, screen_s5, screen_s6], show_progress="hidden") + + return demo diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..42945aea0b82ce291db46dd6da3ef22d6db32b6c --- /dev/null +++ b/requirements.txt @@ -0,0 +1,24 @@ +torch==2.4.1 +transformers==4.47.1 +bitsandbytes==0.44.1 +accelerate==1.2.1 +peft==0.13.2 +trl==0.12.2 +datasets==3.2.0 +gradio==5.10.0 +fastapi==0.109.2 +uvicorn==0.27.1 +httpx==0.27.2 +pydub==0.25.1 +librosa==0.10.2.post1 +jinja2==3.1.5 +jiwer==3.0.5 +rouge_score==0.1.2 +sacrebleu==2.5.1 +reportlab==4.2.5 +wandb==0.18.7 +huggingface_hub==0.27.0 +python-dotenv==1.0.1 +loguru==0.7.2 +pydantic==2.10.6 +pydantic-settings==2.7.1 diff --git a/submission_checklist.md b/submission_checklist.md new file mode 100644 index 0000000000000000000000000000000000000000..95ed581e87b94b0968a9c5e92b369421e4998025 --- /dev/null +++ b/submission_checklist.md @@ -0,0 +1,41 @@ +# Clarke — Submission Checklist + +## Ready Now (End of 24-Hour Build) +- [ ] Public HF Space: [URL pending] — accessible, runs 3 demo scenarios +- [ ] Public GitHub repo: [URL pending] — clean code, README, licence +- [ ] Public LoRA adapter: [Not published] (if trained) — traces to google/medgemma-27b-text-it +- [x] evaluation_report.md — metrics computed (if completed) + +## Buffer Week (Mon 16 – Sun 22 Feb) +- [ ] 3-page writeup (Mon 16 Feb) +- [ ] 3-minute video (Tue 17 – Sat 21 Feb) +- [ ] Final Kaggle submission (Sun 22 Feb) + - [ ] Writeup submitted via Kaggle Writeups tab + - [ ] Agentic Workflow Prize selected + - [ ] All links included: video, GitHub, HF Space, HF model + +## Verification Notes (Task 37 run) +- HF Space and GitHub public URLs are not present in this repository snapshot; external incognito validation could not be completed in this environment. +- `evaluation_report.md` exists in repository root. + +## Task 38 — Phase 5 Final Checkpoint (Current Repository Snapshot) + +### Day 3 Criteria Verification +- [ ] Public HF Space is live and accessible from any browser. **Status: FAIL** (no public HF Space URL is present in `README.md` or this checklist). +- [ ] Public GitHub repo with clean code, README with architecture diagram, and docstrings. **Status: PARTIAL/FAIL** (README architecture diagram and licence are present, docstring scan passes, but no public GitHub URL is provided). +- [ ] At least 3 demo scenarios work flawlessly on the live HF Space. **Status: FAIL** (no live HF Space URL available for external verification). +- [ ] Submission checklist confirms all competition requirements are met (except video and writeup). **Status: FAIL** (`Ready Now` section still has unchecked public artefact items). + +### Nice-to-Haves Inventory (for writeup/video planning) +- LoRA adapter trained and published? **N** (adapter publication skipped in current repo state). +- WER comparison table? **Y** (WER metrics recorded in `evaluation_report.md`). +- EHR Agent metrics? **Y** (fact recall/precision/hallucination metrics recorded). +- BLEU/ROUGE-L evaluation? **Y** (BLEU and ROUGE-L recorded). +- `evaluation_report.md` populated? **Y**. +- UI visually polished? **Y** (recorded as completed in Task 33 section of `evaluation_report.md`). + +### Commands Used +```bash +rg -n "URL pending|add your public Space URL|" README.md submission_checklist.md +grep -rL '"""' backend/ frontend/ --include='*.py' +``` diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000000000000000000000000000000000000..be5a2b513373029263dc0f8f57dd361a1d26d6e3 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,10 @@ +"""Pytest configuration for Clarke test imports.""" + +from __future__ import annotations + +import sys +from pathlib import Path + +ROOT = Path(__file__).resolve().parents[1] +if str(ROOT) not in sys.path: + sys.path.insert(0, str(ROOT)) diff --git a/tests/test_api.py b/tests/test_api.py new file mode 100644 index 0000000000000000000000000000000000000000..f80e46a27ff9e063e8d858d27a052a4f56d5c28b --- /dev/null +++ b/tests/test_api.py @@ -0,0 +1,312 @@ +"""Tests for Clarke FastAPI health, patient, and consultation pipeline endpoints.""" + +from __future__ import annotations + +import math +import struct +import wave +from datetime import datetime, timezone +from pathlib import Path + +from fastapi.testclient import TestClient + +from backend import api +from backend.schemas import ClinicalDocument, ConsultationStatus, DocumentSection, PatientContext, Transcript + + +def _make_wav_file(path: Path, duration_s: float = 6.0, sample_rate: int = 16000) -> Path: + """Create a mono PCM WAV test file with a simple sine wave. + + Args: + path (Path): Destination file path. + duration_s (float): Audio duration in seconds. + sample_rate (int): Sampling rate for generated waveform. + + Returns: + Path: Path to generated WAV file. + """ + + total_samples = int(duration_s * sample_rate) + amplitude = 12000 + frequency_hz = 440.0 + + path.parent.mkdir(parents=True, exist_ok=True) + with wave.open(str(path), "wb") as wav_file: + wav_file.setnchannels(1) + wav_file.setsampwidth(2) + wav_file.setframerate(sample_rate) + + frames = bytearray() + for sample_index in range(total_samples): + sample_value = int(amplitude * math.sin(2.0 * math.pi * frequency_hz * sample_index / sample_rate)) + frames.extend(struct.pack(" ClinicalDocument: + """Build deterministic mock ClinicalDocument for API orchestration tests. + + Args: + consultation_id (str): Consultation identifier used for document payload. + variant (str): Text variant to support regenerate-section assertions. + + Returns: + ClinicalDocument: Mock generated document with stable section headings. + """ + + suffix = "" if variant == "base" else f" ({variant})" + return ClinicalDocument( + consultation_id=consultation_id, + letter_date="2026-02-13", + patient_name="Mrs. Margaret Thompson", + patient_dob="14/03/1958", + nhs_number="943 476 5829", + addressee="Dr. Patel, Riverside Medical Centre", + salutation="Dear Dr. Patel,", + sections=[ + DocumentSection(heading="History Of Presenting Complaint", content=f"History content{suffix}", editable=True), + DocumentSection(heading="Examination Findings", content=f"Examination content{suffix}", editable=True), + DocumentSection(heading="Investigation Results", content=f"Investigation content{suffix}", editable=True), + DocumentSection(heading="Assessment And Plan", content=f"Plan content{suffix}", editable=True), + DocumentSection(heading="Current Medications", content=f"Medication content{suffix}", editable=True), + ], + medications_list=["Metformin 1 g BD", "Gliclazide 40 mg OD"], + sign_off="Dr. S. Chen, Consultant Diabetologist", + status=ConsultationStatus.REVIEW, + generated_at=datetime.now(tz=timezone.utc).isoformat(), + generation_time_s=0.42, + discrepancies=[], + ) + + +def _mock_context(patient_id: str) -> PatientContext: + """Build deterministic mock PatientContext for API orchestration tests. + + Args: + patient_id (str): Patient identifier used in context payload. + + Returns: + PatientContext: Fully populated mock context object. + """ + + return PatientContext( + patient_id=patient_id, + demographics={"name": "Mrs. Margaret Thompson", "dob": "1958-03-14", "nhs_number": "943 476 5829"}, + problem_list=["Type 2 diabetes mellitus"], + medications=[{"name": "Metformin", "dose": "1g", "frequency": "BD", "fhir_id": "med-1"}], + allergies=[{"substance": "Penicillin", "reaction": "Anaphylaxis", "severity": "high"}], + recent_labs=[], + recent_imaging=[], + clinical_flags=[], + last_letter_excerpt=None, + retrieval_warnings=[], + retrieved_at=datetime.now(tz=timezone.utc).isoformat(), + ) + + +def test_health_endpoint_returns_expected_schema() -> None: + """Verify health endpoint returns status payload with required top-level keys. + + Args: + None: Uses test client against in-process FastAPI app. + + Returns: + None: Assertions validate response schema shape. + """ + + client = TestClient(api.app) + + response = client.get("/api/v1/health") + + assert response.status_code == 200 + payload = response.json() + assert payload["status"] == "healthy" + assert "models" in payload + assert "medasr" in payload["models"] + assert "fhir" in payload + assert "gpu" in payload + assert "timestamp" in payload + + +def test_patients_endpoints_return_clinic_records() -> None: + """Verify patient list and single-patient endpoints return expected records. + + Args: + None: Calls patient endpoints with a FastAPI test client. + + Returns: + None: Assertions validate schema and selected patient id. + """ + + client = TestClient(api.app) + + list_response = client.get("/api/v1/patients") + assert list_response.status_code == 200 + list_payload = list_response.json() + assert "patients" in list_payload + assert any(patient["id"] == "pt-001" for patient in list_payload["patients"]) + + patient_response = client.get("/api/v1/patients/pt-001") + assert patient_response.status_code == 200 + assert patient_response.json()["id"] == "pt-001" + + +def test_consultation_flow_start_audio_end_and_progress(monkeypatch, tmp_path: Path) -> None: + """Verify start→audio→end pipeline flow and progress endpoint transitions. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture for replacing model calls with deterministic mocks. + tmp_path (Path): Temporary path used to generate test WAV file. + + Returns: + None: Assertions validate consultation lifecycle endpoints. + """ + + client = TestClient(api.app) + + monkeypatch.setattr(api.orchestrator._ehr_agent, "get_patient_context", lambda patient_id: _mock_context(patient_id)) + + def _mock_transcribe(audio_path: str) -> Transcript: + return Transcript( + consultation_id="ignored", + text="Patient reports fatigue; HbA1c reviewed and gliclazide discussed.", + duration_s=62.5, + word_count=9, + created_at=datetime.now(tz=timezone.utc).isoformat(), + ) + + monkeypatch.setattr(api.orchestrator._medasr_model, "transcribe", _mock_transcribe) + monkeypatch.setattr( + api.orchestrator._doc_generator, + "generate_document", + lambda transcript, context: _mock_document("placeholder", "base"), + ) + + start_response = client.post("/api/v1/consultations/start", json={"patient_id": "pt-001"}) + assert start_response.status_code == 201 + consultation_id = start_response.json()["consultation_id"] + + wav_path = _make_wav_file(tmp_path / "sample.wav") + with wav_path.open("rb") as audio_stream: + upload_response = client.post( + f"/api/v1/consultations/{consultation_id}/audio", + files={"audio_file": ("sample.wav", audio_stream, "audio/wav")}, + data={"is_final": "true"}, + ) + assert upload_response.status_code == 200 + + end_response = client.post(f"/api/v1/consultations/{consultation_id}/end") + assert end_response.status_code == 202 + assert end_response.json()["pipeline_stage"] == "complete" + assert end_response.json()["status"] == "review" + + progress_response = client.get(f"/api/v1/consultations/{consultation_id}/progress") + assert progress_response.status_code == 200 + progress_payload = progress_response.json() + assert progress_payload["stage"] == "complete" + assert progress_payload["progress_pct"] == 100 + + transcript_response = client.get(f"/api/v1/consultations/{consultation_id}/transcript") + assert transcript_response.status_code == 200 + assert "fatigue" in transcript_response.json()["text"].lower() + + document_response = client.get(f"/api/v1/consultations/{consultation_id}/document") + assert document_response.status_code == 200 + document_payload = document_response.json()["document"] + assert document_payload is not None + assert len(document_payload["sections"]) >= 4 + + +def test_context_endpoint_returns_patient_context(monkeypatch) -> None: + """Verify context endpoint returns EHR agent result for existing patient. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture for deterministic EHR context mock. + + Returns: + None: Assertions validate context fields from endpoint response. + """ + + client = TestClient(api.app) + monkeypatch.setattr(api.orchestrator._ehr_agent, "get_patient_context", lambda patient_id: _mock_context(patient_id)) + + response = client.post("/api/v1/patients/pt-001/context") + + assert response.status_code == 200 + payload = response.json() + assert payload["patient_id"] == "pt-001" + assert any("penicillin" in allergy["substance"].lower() for allergy in payload["allergies"]) + + +def test_document_sign_off_and_regenerate_section(monkeypatch, tmp_path: Path) -> None: + """Verify document sign-off and per-section regeneration endpoints update consultation state. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture for replacing model calls with deterministic mocks. + tmp_path (Path): Temporary path used to generate WAV input for consultation flow. + + Returns: + None: Assertions validate signed-off status and regenerated section content. + """ + + client = TestClient(api.app) + + monkeypatch.setattr(api.orchestrator._ehr_agent, "get_patient_context", lambda patient_id: _mock_context(patient_id)) + + def _mock_transcribe(audio_path: str) -> Transcript: + return Transcript( + consultation_id="ignored", + text="Follow-up consultation transcript for document actions.", + duration_s=45.0, + word_count=6, + created_at=datetime.now(tz=timezone.utc).isoformat(), + ) + + regenerate_state = {"count": 0} + + def _mock_generate_document(transcript: str, context: PatientContext) -> ClinicalDocument: + regenerate_state["count"] += 1 + variant = "base" if regenerate_state["count"] == 1 else "regen" + return _mock_document("placeholder", variant) + + monkeypatch.setattr(api.orchestrator._medasr_model, "transcribe", _mock_transcribe) + monkeypatch.setattr(api.orchestrator._doc_generator, "generate_document", _mock_generate_document) + + start_response = client.post("/api/v1/consultations/start", json={"patient_id": "pt-001"}) + assert start_response.status_code == 201 + consultation_id = start_response.json()["consultation_id"] + + wav_path = _make_wav_file(tmp_path / "sample_actions.wav") + with wav_path.open("rb") as audio_stream: + upload_response = client.post( + f"/api/v1/consultations/{consultation_id}/audio", + files={"audio_file": ("sample_actions.wav", audio_stream, "audio/wav")}, + data={"is_final": "true"}, + ) + assert upload_response.status_code == 200 + + end_response = client.post(f"/api/v1/consultations/{consultation_id}/end") + assert end_response.status_code == 202 + + sign_off_response = client.post(f"/api/v1/consultations/{consultation_id}/document/sign-off") + assert sign_off_response.status_code == 200 + sign_off_payload = sign_off_response.json() + assert sign_off_payload["status"] == "signed_off" + assert sign_off_payload["document"]["status"] == "signed_off" + + regenerate_response = client.post( + f"/api/v1/consultations/{consultation_id}/document/regenerate-section", + json={"section_heading": "Investigation Results"}, + ) + assert regenerate_response.status_code == 200 + regenerate_payload = regenerate_response.json() + assert regenerate_payload["status"] == "review" + + updated_section = next( + section + for section in regenerate_payload["document"]["sections"] + if section["heading"].lower() == "investigation results" + ) + assert "regen" in updated_section["content"].lower() diff --git a/tests/test_doc_generator.py b/tests/test_doc_generator.py new file mode 100644 index 0000000000000000000000000000000000000000..603c5f97779463745368980345dd4dd6dbe4431f --- /dev/null +++ b/tests/test_doc_generator.py @@ -0,0 +1,109 @@ +"""Tests for MedGemma 27B document generator prompt flow and output parsing.""" + +from __future__ import annotations + +import json +from pathlib import Path + +from backend.models.doc_generator import DocumentGenerator +from backend.models.ehr_agent import EHRAgent + +FHIR_SAMPLE_PATH = Path("data/fhir_bundles/pt-001.json") + + +async def _async_raw_context(patient_id: str) -> dict: + """Return grouped raw context for async monkeypatching in doc generator tests. + + Args: + patient_id (str): Patient identifier used in context payload. + + Returns: + dict: Grouped FHIR resources payload. + """ + + bundle = json.loads(FHIR_SAMPLE_PATH.read_text(encoding="utf-8")) + grouped = { + "patient_id": patient_id, + "patients": [], + "conditions": [], + "medications": [], + "observations": [], + "allergies": [], + "diagnostic_reports": [], + "encounters": [], + } + type_mapping = { + "Patient": "patients", + "Condition": "conditions", + "MedicationRequest": "medications", + "Observation": "observations", + "AllergyIntolerance": "allergies", + "DiagnosticReport": "diagnostic_reports", + "Encounter": "encounters", + } + + for entry in bundle.get("entry", []): + resource = entry.get("resource", {}) + bucket = type_mapping.get(resource.get("resourceType")) + if bucket: + grouped[bucket].append(resource) + return grouped + + +def test_parse_sections_extracts_known_headings() -> None: + """Verify section parser extracts heading blocks from generated letter text. + + Args: + None: Uses deterministic text fixture. + + Returns: + None: Assertions validate heading and content extraction. + """ + + sample_letter = ( + "History of presenting complaint\n" + "Symptoms discussed.\n" + "Examination findings\n" + "No acute concerns.\n" + "Investigation results\n" + "HbA1c 55 mmol/mol.\n" + "Assessment and plan\n" + "Follow-up in three months.\n" + "Current medications\n" + "Metformin." + ) + + sections = DocumentGenerator._parse_sections(sample_letter) + + assert len(sections) >= 4 + assert sections[0].heading == "History Of Presenting Complaint" + assert "Symptoms" in sections[0].content + + +def test_generate_document_mock_mode_returns_clinical_document(monkeypatch) -> None: + """Verify mock mode generation yields valid ClinicalDocument with expected sections. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture for deterministic FHIR context stubbing. + + Returns: + None: Assertions validate ClinicalDocument structure and section count. + """ + + monkeypatch.setattr( + "backend.models.ehr_agent.get_full_patient_context", + (lambda patient_id: _async_raw_context(patient_id)), + ) + + context = EHRAgent(model_id="mock").get_patient_context("pt-001") + generator = DocumentGenerator(model_id="mock") + + document = generator.generate_document( + transcript="Patient reports fatigue and challenges taking gliclazide consistently.", + context=context, + ) + + assert document.consultation_id == "pt-001" + assert len(document.sections) >= 4 + assert any("Investigation" in section.heading for section in document.sections) + assert any("Metformin" in med for med in document.medications_list) diff --git a/tests/test_e2e.py b/tests/test_e2e.py new file mode 100644 index 0000000000000000000000000000000000000000..3f3a01b94187d2ae504afc71e2c2d252deeb2709 --- /dev/null +++ b/tests/test_e2e.py @@ -0,0 +1,597 @@ +"""End-to-end fusion tests for transcript + EHR context prompt assembly.""" + +from __future__ import annotations + +import json +from pathlib import Path + +import pytest +from jinja2 import Environment, FileSystemLoader + +from backend.config import get_settings +from backend.models.ehr_agent import EHRAgent +from backend.models.medasr import MedASRModel + +FHIR_SAMPLE_PATH = Path("data/fhir_bundles/pt-001.json") + + +async def _async_raw_context(patient_id: str) -> dict: + """Return grouped raw FHIR context for async monkeypatching in EHRAgent tests. + + Args: + patient_id (str): FHIR patient identifier used for context lookup. + + Returns: + dict: Grouped FHIR resources keyed by the expected EHRAgent buckets. + """ + + bundle = json.loads(FHIR_SAMPLE_PATH.read_text(encoding="utf-8")) + grouped = { + "patient_id": patient_id, + "patients": [], + "conditions": [], + "medications": [], + "observations": [], + "allergies": [], + "diagnostic_reports": [], + "encounters": [], + } + bucket_by_type = { + "Patient": "patients", + "Condition": "conditions", + "MedicationRequest": "medications", + "Observation": "observations", + "AllergyIntolerance": "allergies", + "DiagnosticReport": "diagnostic_reports", + "Encounter": "encounters", + } + + for entry in bundle.get("entry", []): + resource = entry.get("resource", {}) + bucket = bucket_by_type.get(resource.get("resourceType")) + if bucket: + grouped[bucket].append(resource) + + return grouped + + +def test_mrs_thompson_fusion(monkeypatch) -> None: + """Verify transcript and FHIR context fuse into a rendered document-generation prompt. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture used to force deterministic mock model paths. + + Returns: + None: Assertions validate transcript details and key FHIR values in rendered prompt. + """ + + monkeypatch.setenv("MEDASR_MODEL_ID", "mock") + get_settings.cache_clear() + + monkeypatch.setattr( + "backend.models.ehr_agent.get_full_patient_context", + (lambda patient_id: _async_raw_context(patient_id)), + ) + + medasr = MedASRModel() + transcript = medasr.transcribe("data/demo/mrs_thompson.wav") + + ehr_agent = EHRAgent(model_id="mock") + context = ehr_agent.get_patient_context("pt-001") + + env = Environment(loader=FileSystemLoader("backend/prompts")) + template = env.get_template("document_generation.j2") + context_json = json.dumps(context.model_dump(mode="json"), ensure_ascii=False, indent=2) + rendered_prompt = template.render( + letter_date="13 Feb 2026", + clinician_name="Dr. Chen", + clinician_title="Consultant", + transcript=transcript.text, + context_json=context_json, + ) + + assert "HbA1c" in rendered_prompt + assert "fatigue" in rendered_prompt.lower() + assert "gliclazide" in rendered_prompt.lower() + + assert "55" in rendered_prompt and "mmol/mol" in rendered_prompt + assert "eGFR" in rendered_prompt and "52" in rendered_prompt + assert "Penicillin" in rendered_prompt + + assert rendered_prompt.strip().startswith("<|system|>") + +import math +import struct +import wave +from datetime import datetime, timezone + +from fastapi.testclient import TestClient + +from backend import api +from backend.schemas import ClinicalDocument, ConsultationStatus, DocumentSection, PatientContext, Transcript + + +def _make_wav_file(path: Path, duration_s: float = 6.0, sample_rate: int = 16000) -> Path: + """Create a mono PCM WAV test file with a simple sine wave. + + Args: + path (Path): Destination file path. + duration_s (float): Audio duration in seconds. + sample_rate (int): Sampling rate for generated waveform. + + Returns: + Path: Path to generated WAV file. + """ + + total_samples = int(duration_s * sample_rate) + amplitude = 12000 + frequency_hz = 440.0 + + path.parent.mkdir(parents=True, exist_ok=True) + with wave.open(str(path), "wb") as wav_file: + wav_file.setnchannels(1) + wav_file.setsampwidth(2) + wav_file.setframerate(sample_rate) + + frames = bytearray() + for sample_index in range(total_samples): + sample_value = int(amplitude * math.sin(2.0 * math.pi * frequency_hz * sample_index / sample_rate)) + frames.extend(struct.pack(" PatientContext: + """Build deterministic mock PatientContext for pipeline hardening tests. + + Args: + patient_id (str): Patient identifier used in context payload. + + Returns: + PatientContext: Fully populated mock context object. + """ + + return PatientContext( + patient_id=patient_id, + demographics={"name": "Mrs. Margaret Thompson", "dob": "1958-03-14", "nhs_number": "943 476 5829"}, + problem_list=["Type 2 diabetes mellitus"], + medications=[{"name": "Metformin", "dose": "1g", "frequency": "BD", "fhir_id": "med-1"}], + allergies=[{"substance": "Penicillin", "reaction": "Anaphylaxis", "severity": "high"}], + recent_labs=[], + recent_imaging=[], + clinical_flags=[], + last_letter_excerpt=None, + retrieval_warnings=[], + retrieved_at=datetime.now(tz=timezone.utc).isoformat(), + ) + + +def _mock_document(consultation_id: str) -> ClinicalDocument: + """Build deterministic mock ClinicalDocument for hardening-path assertions. + + Args: + consultation_id (str): Consultation identifier used for document payload. + + Returns: + ClinicalDocument: Mock generated document. + """ + + return ClinicalDocument( + consultation_id=consultation_id, + letter_date="2026-02-13", + patient_name="Mrs. Margaret Thompson", + patient_dob="14/03/1958", + nhs_number="943 476 5829", + addressee="Dr. Patel, Riverside Medical Centre", + salutation="Dear Dr. Patel,", + sections=[ + DocumentSection(heading="History Of Presenting Complaint", content="History", editable=True), + DocumentSection(heading="Examination Findings", content="Exam", editable=True), + DocumentSection(heading="Investigation Results", content="Investigations", editable=True), + DocumentSection(heading="Assessment And Plan", content="Plan", editable=True), + ], + medications_list=["Metformin 1 g BD"], + sign_off="Dr. S. Chen, Consultant Diabetologist", + status=ConsultationStatus.REVIEW, + generated_at=datetime.now(tz=timezone.utc).isoformat(), + generation_time_s=0.2, + discrepancies=[], + ) + + + + +def _context_from_bundle(patient_id: str) -> PatientContext: + """Build a deterministic PatientContext from local FHIR bundle fixtures. + + Args: + patient_id (str): Patient identifier whose bundle should be transformed. + + Returns: + PatientContext: Structured context built from fixture resources. + """ + + bundle_path = Path(f"data/fhir_bundles/{patient_id}.json") + bundle = json.loads(bundle_path.read_text(encoding="utf-8")) + + def _obs_value(resource: dict) -> str: + quantity = resource.get("valueQuantity") or {} + code_text = resource.get("code", {}).get("text", "Observation") + return f"{code_text}: {quantity.get('value', '')} {quantity.get('unit', '')}".strip() + + demographics = {"name": "", "dob": "", "nhs_number": ""} + problems: list[str] = [] + medications: list[dict[str, str]] = [] + allergies: list[dict[str, str]] = [] + labs: list[dict[str, str]] = [] + imaging: list[dict[str, str]] = [] + + for entry in bundle.get("entry", []): + resource = entry.get("resource", {}) + resource_type = resource.get("resourceType") + if resource_type == "Patient": + name_obj = resource.get("name", [{}])[0] + demographics = { + "name": " ".join(name_obj.get("given", []) + [name_obj.get("family", "")]).strip(), + "dob": resource.get("birthDate", ""), + "nhs_number": next((i.get("value", "") for i in resource.get("identifier", []) if "nhs-number" in i.get("system", "")), ""), + } + elif resource_type == "Condition": + problems.append(resource.get("code", {}).get("text", "")) + elif resource_type == "MedicationRequest": + medications.append( + { + "name": resource.get("medicationCodeableConcept", {}).get("text", ""), + "dose": resource.get("dosageInstruction", [{}])[0].get("text", ""), + "frequency": "", + "fhir_id": resource.get("id", ""), + } + ) + elif resource_type == "AllergyIntolerance": + allergies.append( + { + "substance": resource.get("code", {}).get("text", ""), + "reaction": resource.get("reaction", [{}])[0].get("manifestation", [{}])[0].get("text", ""), + "severity": resource.get("criticality", "unknown"), + } + ) + elif resource_type == "DiagnosticReport": + imaging.append({"type": resource.get("code", {}).get("text", "Report"), "date": resource.get("effectiveDateTime", ""), "summary": resource.get("conclusion", "")}) + elif resource_type == "Observation": + quantity = resource.get("valueQuantity") or {} + labs.append( + { + "name": resource.get("code", {}).get("text", "Observation"), + "value": str(quantity.get("value", "")), + "unit": str(quantity.get("unit", "")), + "reference_range": None, + "date": resource.get("effectiveDateTime", "1970-01-01"), + "trend": None, + "previous_value": None, + "previous_date": None, + "fhir_resource_id": resource.get("id", ""), + } + ) + + return PatientContext( + patient_id=patient_id, + demographics=demographics, + problem_list=[item for item in problems if item], + medications=medications, + allergies=allergies, + recent_labs=labs, + recent_imaging=imaging, + clinical_flags=[], + last_letter_excerpt=None, + retrieval_warnings=[], + retrieved_at=datetime.now(tz=timezone.utc).isoformat(), + ) + +def _start_consultation_and_upload_audio(client: TestClient, tmp_path: Path) -> str: + """Start a consultation and upload a valid WAV file. + + Args: + client (TestClient): FastAPI test client. + tmp_path (Path): Temporary path for generated audio. + + Returns: + str: Consultation identifier. + """ + + start_response = client.post("/api/v1/consultations/start", json={"patient_id": "pt-001"}) + consultation_id = start_response.json()["consultation_id"] + + wav_path = _make_wav_file(tmp_path / f"{consultation_id}.wav") + with wav_path.open("rb") as audio_stream: + upload_response = client.post( + f"/api/v1/consultations/{consultation_id}/audio", + files={"audio_file": ("sample.wav", audio_stream, "audio/wav")}, + data={"is_final": "true"}, + ) + assert upload_response.status_code == 200 + return consultation_id + + +def test_pipeline_timeout(monkeypatch, tmp_path: Path) -> None: + """Verify pipeline timeout is surfaced as a structured timeout response. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture for patching pipeline behaviour. + tmp_path (Path): Temporary path fixture. + + Returns: + None: Assertions validate HTTP 504 timeout shape. + """ + + client = TestClient(api.app) + consultation_id = _start_consultation_and_upload_audio(client, tmp_path) + + monkeypatch.setattr(api.orchestrator, "end_consultation", lambda _id: (_ for _ in ()).throw(TimeoutError("Pipeline timed out"))) + + response = client.post(f"/api/v1/consultations/{consultation_id}/end") + + assert response.status_code == 504 + assert response.json()["detail"]["error"] == "timeout" + + +def test_fhir_failure_degradation(monkeypatch, tmp_path: Path) -> None: + """Verify FHIR retrieval failures degrade to transcript-only generation. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture for model patching. + tmp_path (Path): Temporary path fixture. + + Returns: + None: Assertions validate successful generation plus retrieval warning. + """ + + client = TestClient(api.app) + + monkeypatch.setattr( + api.orchestrator._medasr_model, + "transcribe", + lambda _audio_path: Transcript( + consultation_id="ignored", + text="Transcript-only generation should still proceed.", + duration_s=10.0, + word_count=5, + created_at=datetime.now(tz=timezone.utc).isoformat(), + ), + ) + monkeypatch.setattr(api.orchestrator._ehr_agent, "get_patient_context", lambda _patient_id: (_ for _ in ()).throw(RuntimeError("FHIR down"))) + + captured_context: dict[str, PatientContext] = {} + + def _capture_document(transcript: str, context: PatientContext, max_new_tokens: int | None = None) -> ClinicalDocument: + captured_context["ctx"] = context + return _mock_document("placeholder") + + monkeypatch.setattr(api.orchestrator._doc_generator, "generate_document", _capture_document) + + consultation_id = _start_consultation_and_upload_audio(client, tmp_path) + response = client.post(f"/api/v1/consultations/{consultation_id}/end") + + assert response.status_code == 202 + assert "ctx" in captured_context + assert captured_context["ctx"].retrieval_warnings + + +def test_empty_audio(monkeypatch, tmp_path: Path) -> None: + """Verify empty transcript is rejected with audio_error response. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture for MedASR patching. + tmp_path (Path): Temporary path fixture. + + Returns: + None: Assertions validate error code and message. + """ + + client = TestClient(api.app) + + monkeypatch.setattr( + api.orchestrator._medasr_model, + "transcribe", + lambda _audio_path: Transcript( + consultation_id="ignored", + text=" ", + duration_s=10.0, + word_count=0, + created_at=datetime.now(tz=timezone.utc).isoformat(), + ), + ) + monkeypatch.setattr(api.orchestrator._ehr_agent, "get_patient_context", lambda patient_id: _mock_context(patient_id)) + monkeypatch.setattr(api.orchestrator._doc_generator, "generate_document", lambda transcript, context, max_new_tokens=None: _mock_document("placeholder")) + + consultation_id = _start_consultation_and_upload_audio(client, tmp_path) + response = client.post(f"/api/v1/consultations/{consultation_id}/end") + + assert response.status_code == 400 + assert response.json()["detail"]["error"] == "audio_error" + assert "could not be transcribed" in response.json()["detail"]["message"].lower() + + +def test_oversized_context_truncates_and_proceeds(monkeypatch, tmp_path: Path) -> None: + """Verify oversized context is truncated and generation proceeds. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture for model patching. + tmp_path (Path): Temporary path fixture. + + Returns: + None: Assertions validate successful completion and truncation warning. + """ + + client = TestClient(api.app) + + monkeypatch.setattr( + api.orchestrator._medasr_model, + "transcribe", + lambda _audio_path: Transcript( + consultation_id="ignored", + text="Long consultation transcript.", + duration_s=10.0, + word_count=3, + created_at=datetime.now(tz=timezone.utc).isoformat(), + ), + ) + + huge_context = _mock_context("pt-001") + huge_context.problem_list = [f"problem {idx}" for idx in range(8000)] + monkeypatch.setattr(api.orchestrator._ehr_agent, "get_patient_context", lambda _patient_id: huge_context) + + captured_context: dict[str, PatientContext] = {} + + def _capture_document(transcript: str, context: PatientContext, max_new_tokens: int | None = None) -> ClinicalDocument: + captured_context["ctx"] = context + return _mock_document("placeholder") + + monkeypatch.setattr(api.orchestrator._doc_generator, "generate_document", _capture_document) + + consultation_id = _start_consultation_and_upload_audio(client, tmp_path) + response = client.post(f"/api/v1/consultations/{consultation_id}/end") + + assert response.status_code == 202 + warnings = captured_context["ctx"].retrieval_warnings + assert any("truncated" in warning.lower() for warning in warnings) + + + + +@pytest.mark.parametrize( + ("patient_id", "audio_name"), + [ + ("pt-001", "mrs_thompson.wav"), + ("pt-002", "mr_okafor.wav"), + ("pt-003", "ms_patel.wav"), + ], +) +def test_task25_three_demo_scenarios(monkeypatch, patient_id: str, audio_name: str) -> None: + """Verify the three demo scenarios complete with expected transcript, context, edit, and sign-off actions. + + Args: + patient_id (str): Demo patient identifier. + audio_name (str): Demo fixture audio filename to upload. + + Returns: + None: Assertions validate task-25 acceptance criteria across all demo patients. + """ + + client = TestClient(api.app) + + monkeypatch.setattr(api.orchestrator._ehr_agent, "get_patient_context", lambda current_patient_id: _context_from_bundle(current_patient_id)) + + def _scenario_document(transcript: str, context: PatientContext, max_new_tokens: int | None = None) -> ClinicalDocument: + section_text = f"Summary: {transcript} | Context markers: {json.dumps(context.model_dump(mode='json'))}" + return ClinicalDocument( + consultation_id="placeholder", + letter_date="2026-02-13", + patient_name=context.demographics.get("name", "Unknown"), + patient_dob=context.demographics.get("dob", ""), + nhs_number=context.demographics.get("nhs_number", ""), + addressee="Dr. Patel", + salutation="Dear Dr. Patel,", + sections=[DocumentSection(heading="Assessment And Plan", content=section_text, editable=True)], + medications_list=[med.get("name", "") for med in context.medications], + sign_off="Dr. S. Chen", + status=ConsultationStatus.REVIEW, + generated_at=datetime.now(tz=timezone.utc).isoformat(), + generation_time_s=0.1, + discrepancies=[], + ) + + monkeypatch.setattr(api.orchestrator._doc_generator, "generate_document", _scenario_document) + + transcript_map = { + "mrs_thompson": Path("data/demo/mrs_thompson_transcript.txt"), + "mr_okafor": Path("data/demo/mr_okafor_transcript.txt"), + "ms_patel": Path("data/demo/ms_patel_transcript.txt"), + } + + def _scenario_transcript(audio_path: str) -> Transcript: + lower_path = Path(audio_path).stem.lower() + transcript_text = "" + for key, transcript_path in transcript_map.items(): + if key in lower_path: + transcript_text = transcript_path.read_text(encoding="utf-8").strip() + break + return Transcript( + consultation_id="placeholder", + text=transcript_text or "fallback transcript", + duration_s=60.0, + word_count=len((transcript_text or "fallback transcript").split()), + created_at=datetime.now(tz=timezone.utc).isoformat(), + ) + + monkeypatch.setattr(api.orchestrator._medasr_model, "transcribe", _scenario_transcript) + + start_response = client.post("/api/v1/consultations/start", json={"patient_id": patient_id}) + assert start_response.status_code == 201 + consultation_id = start_response.json()["consultation_id"] + + context_response = client.post(f"/api/v1/patients/{patient_id}/context") + assert context_response.status_code == 200 + context_payload = context_response.json() + context_text = json.dumps(context_payload).lower() + if patient_id == "pt-001": + assert "hba1c" in context_text and "55" in context_text and "egfr" in context_text and "52" in context_text + assert "penicillin" in context_text + elif patient_id == "pt-002": + assert "normal coronary" in context_text + else: + assert "peak flow" in context_text and "320" in context_text + + demo_audio = Path("data/demo") / audio_name + with demo_audio.open("rb") as audio_stream: + upload_response = client.post( + f"/api/v1/consultations/{consultation_id}/audio", + files={"audio_file": (audio_name, audio_stream, "audio/wav")}, + data={"is_final": "true"}, + ) + assert upload_response.status_code == 200 + + end_response = client.post(f"/api/v1/consultations/{consultation_id}/end") + assert end_response.status_code == 202 + + transcript_response = client.get(f"/api/v1/consultations/{consultation_id}/transcript") + assert transcript_response.status_code == 200 + transcript_text = transcript_response.json()["text"].lower() + if patient_id == "pt-001": + assert "hba1c" in transcript_text and "gliclazide" in transcript_text + elif patient_id == "pt-002": + assert "angiogram" in transcript_text and "chest pain" in transcript_text + else: + assert "asthma" in transcript_text and "peak flow" in transcript_text + + document_response = client.get(f"/api/v1/consultations/{consultation_id}/document") + assert document_response.status_code == 200 + document = document_response.json()["document"] + assert document is not None + rendered_document_text = json.dumps(document).lower() + if patient_id == "pt-001": + assert "hba1c" in rendered_document_text and "55" in rendered_document_text and "mmol/mol" in rendered_document_text + elif patient_id == "pt-002": + assert "normal coronary" in rendered_document_text and "angiogram" in rendered_document_text + else: + assert "preventer" in rendered_document_text and "peak flow" in rendered_document_text + + editable_section = document["sections"][0] + edited_content = f"{editable_section['content']}\nEdited for Task 25 verification." + signoff_response = client.post( + f"/api/v1/consultations/{consultation_id}/document/sign-off", + json={ + "sections": [ + { + "heading": editable_section["heading"], + "content": edited_content, + } + ] + }, + ) + assert signoff_response.status_code == 200 + signed_document = signoff_response.json()["document"] + assert signed_document["status"] == "signed_off" + + signed_section = next(section for section in signed_document["sections"] if section["heading"] == editable_section["heading"]) + assert "edited for task 25 verification" in signed_section["content"].lower() diff --git a/tests/test_ehr_agent.py b/tests/test_ehr_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..49ca18f99f7170ffc6af1937c7c720f038c6ea98 --- /dev/null +++ b/tests/test_ehr_agent.py @@ -0,0 +1,144 @@ +"""Tests for EHRAgent parsing and deterministic context fallback behaviour.""" + +from __future__ import annotations + +import json +from pathlib import Path + +from backend.models.ehr_agent import EHRAgent, parse_agent_output + + +FHIR_SAMPLE_PATH = Path("data/fhir_bundles/pt-001.json") + + +async def _async_raw_context(patient_id: str) -> dict: + """Return async raw context helper for monkeypatched query call. + + Args: + patient_id (str): Patient identifier. + + Returns: + dict: Raw grouped FHIR context payload. + """ + + return _build_raw_context(patient_id) + + +def _build_raw_context(patient_id: str) -> dict: + """Build deterministic raw context payload from local FHIR bundle fixture. + + Args: + patient_id (str): Patient identifier used to construct context. + + Returns: + dict: Aggregated resources grouped by FHIR type. + """ + + bundle = json.loads(FHIR_SAMPLE_PATH.read_text(encoding="utf-8")) + grouped = { + "patient_id": patient_id, + "patients": [], + "conditions": [], + "medications": [], + "observations": [], + "allergies": [], + "diagnostic_reports": [], + "encounters": [], + } + type_mapping = { + "Patient": "patients", + "Condition": "conditions", + "MedicationRequest": "medications", + "Observation": "observations", + "AllergyIntolerance": "allergies", + "DiagnosticReport": "diagnostic_reports", + "Encounter": "encounters", + } + + for entry in bundle.get("entry", []): + resource = entry.get("resource", {}) + bucket = type_mapping.get(resource.get("resourceType")) + if bucket: + grouped[bucket].append(resource) + + return grouped + + +def test_parse_agent_output_strips_system_and_markdown_fences() -> None: + """Verify parser extracts first valid JSON object from noisy model output. + + Args: + None: Uses hardcoded sample output with prompt leakage and code fences. + + Returns: + None: Assertions validate parser output fields. + """ + + raw = ( + "<|system|>hidden instructions<|end|>\n" + "```json\n" + '{"patient_id": "pt-001", "problem_list": ["Type 2 diabetes mellitus"]}' + "\n```" + ) + + payload = parse_agent_output(raw) + + assert payload["patient_id"] == "pt-001" + assert payload["problem_list"] == ["Type 2 diabetes mellitus"] + + +def test_ehr_agent_mock_mode_returns_valid_patient_context_for_pt001(monkeypatch) -> None: + """Verify mock mode returns deterministic PatientContext populated from FHIR data. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture used to patch raw context retrieval. + + Returns: + None: Assertions verify key context fields for pt-001 fixtures. + """ + + monkeypatch.setattr( + "backend.models.ehr_agent.get_full_patient_context", + (lambda patient_id: _async_raw_context(patient_id)), + ) + + agent = EHRAgent(model_id="mock") + context = agent.get_patient_context("pt-001") + + assert context.patient_id == "pt-001" + assert any("diabetes" in problem.lower() for problem in context.problem_list) + assert any("metformin" in medication["name"].lower() for medication in context.medications) + assert any("penicillin" in allergy["substance"].lower() for allergy in context.allergies) + assert any(lab.name == "HbA1c" and lab.value == "55" for lab in context.recent_labs) + + +def test_ehr_agent_fallback_path_sets_warning_when_summarisation_fails(monkeypatch) -> None: + """Verify retrieval warnings are added when model summarisation path fails twice. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture for forcing repeated summarisation failures. + + Returns: + None: Assertions verify deterministic fallback and warning propagation. + """ + + monkeypatch.setattr( + "backend.models.ehr_agent.get_full_patient_context", + (lambda patient_id: _async_raw_context(patient_id)), + ) + + agent = EHRAgent(model_id="mock") + agent.is_mock_mode = False + + monkeypatch.setattr(agent, "load_model", lambda: None) + + def always_fail(_: dict) -> dict: + raise ValueError("invalid model output") + + monkeypatch.setattr(agent, "_summarise_with_model", always_fail) + + context = agent.get_patient_context("pt-001") + + assert context.retrieval_warnings + assert "deterministic extraction" in context.retrieval_warnings[0].lower() + assert context.patient_id == "pt-001" diff --git a/tests/test_eval_doc_gen.py b/tests/test_eval_doc_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..060d85fc1f15fc2e76927b20e1c39b04ec37e14d --- /dev/null +++ b/tests/test_eval_doc_gen.py @@ -0,0 +1,140 @@ +"""Tests for document generation evaluation metrics and report writing.""" + +from __future__ import annotations + +from pathlib import Path + +from evaluation.eval_doc_gen import ( + GeneratedLetterRecord, + append_results_to_report, + compute_bleu_rouge, + fine_tuned_adapter_available, + run_manual_review, +) + + +def test_compute_bleu_rouge_returns_high_scores_for_identical_text() -> None: + """Ensure BLEU/ROUGE-L are strong when predictions match references exactly. + + Args: + None: Uses in-memory letter fixtures. + + Returns: + None: Asserts metric thresholds. + """ + + records = [ + GeneratedLetterRecord( + index=0, + transcript="A", + generated_letter="History of presenting complaint\nPatient stable.", + reference_letter="History of presenting complaint\nPatient stable.", + ), + GeneratedLetterRecord( + index=1, + transcript="B", + generated_letter="Assessment and plan\nContinue treatment.", + reference_letter="Assessment and plan\nContinue treatment.", + ), + ] + + bleu_score, rouge_l = compute_bleu_rouge(records) + + assert bleu_score >= 90.0 + assert rouge_l >= 0.99 + + +def test_run_manual_review_reports_full_pass_for_well_structured_letters() -> None: + """Validate manual-review proxy passes letters containing all required section headings. + + Args: + None: Uses deterministic synthetic letters. + + Returns: + None: Asserts 100% pass rates. + """ + + full_letter = ( + "History of presenting complaint\nSymptoms improved.\n" + "Examination findings\nNo concerns.\n" + "Investigation results\nBloods stable.\n" + "Assessment and plan\nContinue management.\n" + "Current medications\nMetformin." + ) + + records = [ + GeneratedLetterRecord(index=0, transcript="A", generated_letter=full_letter, reference_letter=full_letter), + GeneratedLetterRecord(index=1, transcript="B", generated_letter=full_letter, reference_letter=full_letter), + ] + + review_result = run_manual_review(records, review_sample_size=2) + + assert review_result.nhs_format_pass_rate == 1.0 + assert review_result.clinical_accuracy_pass_rate == 1.0 + + +def test_append_results_to_report_writes_bleu_and_rouge_lines(tmp_path: Path) -> None: + """Confirm markdown report appending includes BLEU and ROUGE-L markers. + + Args: + tmp_path (Path): Temporary directory fixture from pytest. + + Returns: + None: Asserts expected strings exist in report output. + """ + + report_path = tmp_path / "evaluation_report.md" + append_results_to_report( + report_path=report_path, + test_sample_size=20, + model_id="mock", + bleu_score=12.34, + rouge_l=0.456, + manual_review=run_manual_review( + [ + GeneratedLetterRecord( + index=0, + transcript="A", + generated_letter=( + "History of presenting complaint\nA\n" + "Examination findings\nB\n" + "Investigation results\nC\n" + "Assessment and plan\nD\n" + "Current medications\nE" + ), + reference_letter=( + "History of presenting complaint\nA\n" + "Examination findings\nB\n" + "Investigation results\nC\n" + "Assessment and plan\nD\n" + "Current medications\nE" + ), + ) + ], + review_sample_size=1, + ), + fine_tuned_available=False, + ) + + report_text = report_path.read_text(encoding="utf-8") + assert "BLEU: 12.3400" in report_text + assert "ROUGE-L: 0.4560" in report_text + + +def test_fine_tuned_adapter_available_ignores_readme(tmp_path: Path) -> None: + """Ensure adapter availability requires artifacts beyond README documentation. + + Args: + tmp_path (Path): Temporary directory fixture from pytest. + + Returns: + None: Validates adapter detection behaviour. + """ + + adapter_dir = tmp_path / "adapter" + adapter_dir.mkdir() + (adapter_dir / "README.md").write_text("info", encoding="utf-8") + assert fine_tuned_adapter_available(adapter_dir) is False + + (adapter_dir / "adapter_config.json").write_text("{}", encoding="utf-8") + assert fine_tuned_adapter_available(adapter_dir) is True diff --git a/tests/test_eval_ehr_agent.py b/tests/test_eval_ehr_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..ff74a662a03e3f1422233c076fca5d73a8309ed9 --- /dev/null +++ b/tests/test_eval_ehr_agent.py @@ -0,0 +1,100 @@ +"""Tests for EHR fact recall evaluation logic (Task 30).""" + +from __future__ import annotations + +from pathlib import Path + +from backend.models.ehr_agent import EHRAgent +from evaluation.eval_ehr_agent import ( + DEMO_PATIENT_IDS, + build_raw_context_from_bundle, + evaluate_all_patients, + evaluate_patient, + extract_context_facts, + load_gold_facts, +) + + +def test_gold_standard_files_exist_for_all_demo_patients() -> None: + """Validate all expected gold-standard files are present and non-empty. + + Args: + None: Test function consumes static project paths. + + Returns: + None: Asserts required files exist. + """ + + gold_dir = Path("evaluation/gold_standards") + for patient_id in DEMO_PATIENT_IDS: + facts = load_gold_facts(patient_id=patient_id, gold_dir=gold_dir) + assert facts, f"Gold facts missing for {patient_id}" + + +def test_patient_metrics_are_bounded_for_pt001() -> None: + """Ensure per-patient metrics stay in valid [0,1] range. + + Args: + None: Test uses fixed directories and patient id. + + Returns: + None: Asserts metric bounds and non-zero fact counts. + """ + + result = evaluate_patient( + patient_id="pt-001", + gold_dir=Path("evaluation/gold_standards"), + bundle_dir=Path("data/fhir_bundles"), + agent=EHRAgent(model_id="mock"), + ) + + assert 0.0 <= result.recall <= 1.0 + assert 0.0 <= result.precision <= 1.0 + assert 0.0 <= result.hallucination_rate <= 1.0 + assert result.gold_count > 0 + assert result.output_count > 0 + + +def test_aggregate_metrics_computed_for_all_patients() -> None: + """Verify Task 30 evaluator computes metrics for all 5 demo patients. + + Args: + None: Test uses default project directories. + + Returns: + None: Asserts patient count and aggregate ranges. + """ + + patient_results, aggregate = evaluate_all_patients( + gold_dir=Path("evaluation/gold_standards"), + bundle_dir=Path("data/fhir_bundles"), + ) + + assert len(patient_results) == 5 + assert all(result.patient_id in DEMO_PATIENT_IDS for result in patient_results) + assert 0.0 <= aggregate.recall <= 1.0 + assert 0.0 <= aggregate.precision <= 1.0 + assert 0.0 <= aggregate.hallucination_rate <= 1.0 + + +def test_extract_context_facts_returns_key_fact_types() -> None: + """Confirm extractor emits demographic and clinical fact prefixes. + + Args: + None: Test evaluates first demo patient context output. + + Returns: + None: Asserts fact categories are represented. + """ + + patient_id = "pt-001" + raw_context = build_raw_context_from_bundle( + patient_id=patient_id, + bundle_path=Path("data/fhir_bundles") / f"{patient_id}.json", + ) + context = EHRAgent(model_id="mock")._build_context_from_raw(raw_context) + facts = extract_context_facts(context) + + assert any(fact.startswith("name:") for fact in facts) + assert any(fact.startswith("problem:") for fact in facts) + assert any(fact.startswith("medication:") for fact in facts) diff --git a/tests/test_eval_medasr.py b/tests/test_eval_medasr.py new file mode 100644 index 0000000000000000000000000000000000000000..26adfbf08bcb3d659554bb1a528dbff0a6888a49 --- /dev/null +++ b/tests/test_eval_medasr.py @@ -0,0 +1,67 @@ +"""Tests for MedASR WER evaluation helpers and report output.""" + +from __future__ import annotations + +from pathlib import Path + +from evaluation.eval_medasr import ( + WerResult, + append_results_to_report, + calculate_wer, + run_medasr_evaluation, +) + + +def test_calculate_wer_zero_for_identical_text() -> None: + """Verify WER returns zero when reference and hypothesis are identical. + + Args: + None: Pure function test with fixed strings. + + Returns: + None: Asserts score is exactly zero. + """ + + assert calculate_wer("the quick brown fox", "the quick brown fox") == 0.0 + + +def test_run_medasr_evaluation_returns_three_demo_results() -> None: + """Verify evaluation computes WER values for all configured demo clips. + + Args: + None: Uses repository demo fixtures. + + Returns: + None: Asserts expected clip coverage and model selection. + """ + + results, model_id = run_medasr_evaluation(force_mock=True) + + assert len(results) == 3 + assert model_id == "mock" + assert {item.clip_name for item in results} == {"mrs_thompson", "mr_okafor", "ms_patel"} + + +def test_append_results_to_report_writes_medasr_markers(tmp_path: Path) -> None: + """Verify markdown report writer appends required MedASR WER markers. + + Args: + tmp_path (Path): Temporary directory fixture. + + Returns: + None: Asserts report text contains Task 29 output lines. + """ + + report_path = tmp_path / "evaluation_report.md" + results = [ + WerResult("mrs_thompson", 100, 100, 0.0), + WerResult("mr_okafor", 100, 95, 0.1), + WerResult("ms_patel", 100, 98, 0.2), + ] + + append_results_to_report(results=results, report_path=report_path, model_id="mock") + report_text = report_path.read_text(encoding="utf-8") + + assert "Task 29 — MedASR WER Evaluation" in report_text + assert "MedASR WER Average" in report_text + assert "MedASR WER per clip" in report_text diff --git a/tests/test_fhir_client.py b/tests/test_fhir_client.py new file mode 100644 index 0000000000000000000000000000000000000000..6d5019176c92c004f3c811d9b19d56026fab2fc2 --- /dev/null +++ b/tests/test_fhir_client.py @@ -0,0 +1,222 @@ +"""Tests for Clarke mock FHIR API endpoint behaviour.""" + +from __future__ import annotations + +import json +from pathlib import Path + +from fastapi.testclient import TestClient + +from backend.fhir import mock_api + + +def _write_patient_bundle(bundles_dir: Path) -> None: + """Create deterministic fixture bundle for endpoint verification. + + Args: + bundles_dir (Path): Destination directory for fixture bundle file. + + Returns: + None: Writes a single JSON bundle to disk. + """ + bundle = { + "resourceType": "Bundle", + "type": "collection", + "entry": [ + { + "resource": { + "resourceType": "Patient", + "id": "pt-001", + "identifier": [ + { + "system": "https://fhir.nhs.uk/Id/nhs-number", + "value": "9434765829", + } + ], + "name": [ + { + "prefix": ["Mrs"], + "given": ["Margaret"], + "family": "Thompson", + } + ], + } + }, + { + "resource": { + "resourceType": "Condition", + "id": "cond-1", + "subject": {"reference": "Patient/pt-001"}, + "clinicalStatus": {"coding": [{"code": "active"}]}, + "code": {"text": "Type 2 diabetes mellitus"}, + } + }, + { + "resource": { + "resourceType": "Condition", + "id": "cond-2", + "subject": {"reference": "Patient/pt-001"}, + "clinicalStatus": {"coding": [{"code": "active"}]}, + "code": {"text": "Chronic kidney disease"}, + } + }, + { + "resource": { + "resourceType": "MedicationRequest", + "id": "med-1", + "subject": {"reference": "Patient/pt-001"}, + "status": "active", + "authoredOn": "2026-01-02", + } + }, + { + "resource": { + "resourceType": "MedicationRequest", + "id": "med-2", + "subject": {"reference": "Patient/pt-001"}, + "status": "active", + "authoredOn": "2026-01-04", + } + }, + { + "resource": { + "resourceType": "Observation", + "id": "obs-1", + "subject": {"reference": "Patient/pt-001"}, + "category": [{"coding": [{"code": "laboratory"}]}], + "effectiveDateTime": "2026-01-05", + "code": {"text": "HbA1c"}, + "valueQuantity": {"value": 55, "unit": "mmol/mol"}, + } + }, + { + "resource": { + "resourceType": "Observation", + "id": "obs-2", + "subject": {"reference": "Patient/pt-001"}, + "category": [{"coding": [{"code": "laboratory"}]}], + "effectiveDateTime": "2026-01-01", + "code": {"text": "eGFR"}, + } + }, + { + "resource": { + "resourceType": "AllergyIntolerance", + "id": "allergy-1", + "patient": {"reference": "Patient/pt-001"}, + "code": {"text": "Penicillin"}, + } + }, + { + "resource": { + "resourceType": "DiagnosticReport", + "id": "report-1", + "subject": {"reference": "Patient/pt-001"}, + "effectiveDateTime": "2026-01-07", + } + }, + { + "resource": { + "resourceType": "Encounter", + "id": "enc-1", + "subject": {"reference": "Patient/pt-001"}, + "period": {"start": "2026-01-06"}, + } + }, + ], + } + bundles_dir.mkdir(parents=True, exist_ok=True) + (bundles_dir / "pt-001.json").write_text(json.dumps(bundle), encoding="utf-8") + + +def _build_test_client(tmp_path: Path) -> TestClient: + """Construct a test client with BundleIndex pointed at test fixture data. + + Args: + tmp_path (Path): Temporary path provided by pytest. + + Returns: + TestClient: FastAPI test client bound to the mock API app. + """ + bundles_dir = tmp_path / "fhir_bundles" + _write_patient_bundle(bundles_dir) + mock_api.BUNDLE_INDEX = mock_api.BundleIndex(bundles_dir) + return TestClient(mock_api.app) + + +def test_patient_and_search_endpoints(tmp_path: Path) -> None: + """Verify Patient by-id and by-name endpoints return expected FHIR payloads. + + Args: + tmp_path (Path): Temporary filesystem root for fixture bundle files. + + Returns: + None: Assertions validate endpoint responses. + """ + client = _build_test_client(tmp_path) + + patient_response = client.get("/fhir/Patient/pt-001") + assert patient_response.status_code == 200 + assert patient_response.json()["resourceType"] == "Patient" + + search_response = client.get("/fhir/Patient", params={"name": "thompson", "_count": 10}) + assert search_response.status_code == 200 + payload = search_response.json() + assert payload["resourceType"] == "Bundle" + assert payload["total"] == 1 + + +def test_resource_endpoints_filter_sort_and_count(tmp_path: Path) -> None: + """Verify query filters and sorting semantics across FHIR resource endpoints. + + Args: + tmp_path (Path): Temporary filesystem root for fixture bundle files. + + Returns: + None: Assertions validate filtering, count limits, and date sort behaviour. + """ + client = _build_test_client(tmp_path) + + condition_response = client.get("/fhir/Condition", params={"patient": "pt-001", "clinical-status": "active"}) + assert condition_response.status_code == 200 + assert condition_response.json()["total"] >= 2 + + med_response = client.get("/fhir/MedicationRequest", params={"patient": "pt-001", "status": "active", "_count": 1}) + assert med_response.status_code == 200 + assert med_response.json()["total"] == 1 + + obs_response = client.get( + "/fhir/Observation", + params={"patient": "pt-001", "category": "laboratory", "_sort": "-date", "_count": 20}, + ) + assert obs_response.status_code == 200 + obs_entries = obs_response.json()["entry"] + assert obs_entries[0]["resource"]["id"] == "obs-1" + + allergy_response = client.get("/fhir/AllergyIntolerance", params={"patient": "pt-001"}) + assert allergy_response.status_code == 200 + assert allergy_response.json()["total"] == 1 + + report_response = client.get("/fhir/DiagnosticReport", params={"patient": "pt-001", "_sort": "-date", "_count": 5}) + assert report_response.status_code == 200 + + encounter_response = client.get("/fhir/Encounter", params={"patient": "pt-001", "_sort": "-date", "_count": 3}) + assert encounter_response.status_code == 200 + + +def test_unknown_patient_behaviour(tmp_path: Path) -> None: + """Verify unknown patients return a 404 for patient-scoped endpoints. + + Args: + tmp_path (Path): Temporary filesystem root for fixture bundle files. + + Returns: + None: Assertions validate expected 404 semantics. + """ + client = _build_test_client(tmp_path) + + missing_patient = client.get("/fhir/Patient/pt-999") + assert missing_patient.status_code == 404 + + missing_resources = client.get("/fhir/Observation", params={"patient": "pt-999", "category": "laboratory"}) + assert missing_resources.status_code == 404 diff --git a/tests/test_fhir_tools_queries.py b/tests/test_fhir_tools_queries.py new file mode 100644 index 0000000000000000000000000000000000000000..bd704f04e45cf7fbf5b6c055d3d0fd29a5e4c992 --- /dev/null +++ b/tests/test_fhir_tools_queries.py @@ -0,0 +1,196 @@ +"""Tests for FHIR async client, tool wrappers, and deterministic query aggregation.""" + +from __future__ import annotations + +import asyncio +from typing import Any + +import httpx +import pytest + +from backend.errors import FHIRClientError +from backend.fhir import mock_api +from backend.fhir.client import FHIRClient +from backend.fhir import tools, queries + + +@pytest.fixture +def asgi_client_patch(monkeypatch: pytest.MonkeyPatch) -> None: + """Patch httpx.AsyncClient to target mock FHIR FastAPI app via ASGI transport. + + Args: + monkeypatch (pytest.MonkeyPatch): Pytest monkeypatch fixture. + + Returns: + None: Applies monkeypatch side effects for test duration. + """ + + transport = httpx.ASGITransport(app=mock_api.app) + original_async_client = httpx.AsyncClient + + def build_client(*args: Any, **kwargs: Any) -> httpx.AsyncClient: + kwargs["transport"] = transport + return original_async_client(*args, **kwargs) + + monkeypatch.setattr("backend.fhir.client.httpx.AsyncClient", build_client) + + +def test_fhir_client_reads_core_endpoints(asgi_client_patch: None) -> None: + """Verify FHIRClient returns JSON payloads for patient-scoped endpoint queries. + + Args: + asgi_client_patch (None): Applied fixture to route requests to ASGI app. + + Returns: + None: Assertions verify successful responses. + """ + + client = FHIRClient(fhir_server_url="http://testserver/fhir", timeout_s=5) + + patient = asyncio.run(client.get_patient("pt-001")) + observations = asyncio.run(client.get_observations("pt-001")) + + assert patient["resourceType"] == "Patient" + assert observations["resourceType"] == "Bundle" + assert observations["total"] >= 1 + + +def test_fhir_client_404_returns_empty_dict(asgi_client_patch: None) -> None: + """Verify unknown patient requests return empty dictionaries for 404s. + + Args: + asgi_client_patch (None): Applied fixture to route requests to ASGI app. + + Returns: + None: Assertions verify 404-empty behaviour. + """ + + client = FHIRClient(fhir_server_url="http://testserver/fhir", timeout_s=5) + missing = asyncio.run(client.get_patient("pt-999")) + assert missing == {} + + +def test_fhir_client_retries_once_on_5xx(monkeypatch: pytest.MonkeyPatch) -> None: + """Verify a single retry occurs after initial server-side error responses. + + Args: + monkeypatch (pytest.MonkeyPatch): Pytest monkeypatch fixture. + + Returns: + None: Assertions validate retry semantics. + """ + + attempts = {"count": 0} + + def handler(request: httpx.Request) -> httpx.Response: + attempts["count"] += 1 + if attempts["count"] == 1: + return httpx.Response(status_code=500, json={"detail": "temporary"}) + return httpx.Response(status_code=200, json={"resourceType": "Bundle", "entry": [], "total": 0}) + + transport = httpx.MockTransport(handler) + original_async_client = httpx.AsyncClient + + def build_client(*args: Any, **kwargs: Any) -> httpx.AsyncClient: + kwargs["transport"] = transport + return original_async_client(*args, **kwargs) + + monkeypatch.setattr("backend.fhir.client.httpx.AsyncClient", build_client) + + client = FHIRClient(fhir_server_url="http://retry/fhir", timeout_s=5) + response = asyncio.run(client.get_conditions("pt-001")) + + assert response["resourceType"] == "Bundle" + assert attempts["count"] == 2 + + +def test_fhir_client_timeout_raises_contextual_error(monkeypatch: pytest.MonkeyPatch) -> None: + """Verify timeout exceptions are raised with contextual FHIR endpoint details. + + Args: + monkeypatch (pytest.MonkeyPatch): Pytest monkeypatch fixture. + + Returns: + None: Assertion verifies timeout failure semantics. + """ + + class TimeoutClient: + """Minimal async context manager that always raises timeout on GET. + + Args: + None: Created by monkeypatch in tests. + + Returns: + None: Helper class for timeout simulation. + """ + + async def __aenter__(self) -> "TimeoutClient": + """Enter async context manager. + + Args: + None: No parameters. + + Returns: + TimeoutClient: Context-managed instance. + """ + + return self + + async def __aexit__(self, exc_type: Any, exc: Any, tb: Any) -> None: + """Exit async context manager. + + Args: + exc_type (Any): Exception type when raised. + exc (Any): Exception instance when raised. + tb (Any): Traceback when raised. + + Returns: + None: No exception suppression. + """ + + return None + + async def get(self, url: str, params: dict[str, Any] | None = None) -> httpx.Response: + """Raise timeout for every request. + + Args: + url (str): Requested URL string. + params (dict[str, Any] | None): Request query parameters. + + Returns: + httpx.Response: Never returns because timeout is raised. + """ + + raise httpx.TimeoutException("simulated timeout") + + monkeypatch.setattr("backend.fhir.client.httpx.AsyncClient", lambda *a, **k: TimeoutClient()) + + client = FHIRClient(fhir_server_url="http://timeout/fhir", timeout_s=1) + with pytest.raises(FHIRClientError, match="timeout"): + asyncio.run(client.get_observations("pt-001")) + + +def test_tools_and_queries_aggregate_expected_lists(asgi_client_patch: None, monkeypatch: pytest.MonkeyPatch) -> None: + """Verify tool wrappers and query aggregation return resource lists for pt-001. + + Args: + asgi_client_patch (None): Applied fixture to route requests to ASGI app. + monkeypatch (pytest.MonkeyPatch): Fixture for replacing default tool client. + + Returns: + None: Assertions validate list extraction and aggregation keys. + """ + + patched_client = FHIRClient(fhir_server_url="http://testserver/fhir", timeout_s=5) + monkeypatch.setattr(tools, "DEFAULT_FHIR_CLIENT", patched_client) + + patients = asyncio.run(tools.search_patients("Thompson")) + conditions = asyncio.run(tools.get_conditions("pt-001")) + context = asyncio.run(queries.get_full_patient_context("pt-001")) + + assert patients + assert conditions + assert context["medications"] + assert context["observations"] + assert context["allergies"] + assert "encounters" in context diff --git a/tests/test_frontend_state.py b/tests/test_frontend_state.py new file mode 100644 index 0000000000000000000000000000000000000000..8607c315202ca5c0d7c4347825e85e22fcaf9b9a --- /dev/null +++ b/tests/test_frontend_state.py @@ -0,0 +1,175 @@ +"""Unit tests for frontend state helpers and reusable components.""" + +from datetime import datetime, timedelta, timezone + +from frontend.components import build_patient_card, build_status_badge +from frontend.state import initial_consultation_state, show_screen +from frontend.ui import ( + _build_generated_document, + _build_processing_bar_html, + _format_patient_context_html, + _poll_processing_progress, + _render_letter_sections, + _sign_off_document, + _trend_symbol, + _update_recording_timer, +) + + +def test_initial_consultation_state_defaults() -> None: + """Ensure initial consultation state starts on dashboard. + + Args: + None: Test has no runtime parameters. + + Returns: + None: Assertions validate expected defaults. + """ + + state = initial_consultation_state() + assert state["screen"] == "s1" + assert state["selected_patient"] is None + + +def test_show_screen_marks_only_selected_visible() -> None: + """Ensure visibility tuple marks exactly one active screen. + + Args: + None: Test has no runtime parameters. + + Returns: + None: Assertions validate screen visibility map. + """ + + visibility = show_screen("s3") + assert len(visibility) == 6 + assert visibility[2]["visible"] is True + assert sum(1 for item in visibility if item["visible"]) == 1 + + +def test_component_builders_emit_html_values() -> None: + """Ensure component builders return expected HTML payloads. + + Args: + None: Test has no runtime parameters. + + Returns: + None: Assertions validate rendered component values. + """ + + patient_card = build_patient_card( + { + "id": "pt-001", + "name": "Mrs. Margaret Thompson", + "age": 67, + "sex": "Female", + "time": "14:00", + "summary": "Follow-up", + } + ) + badge = build_status_badge("ready") + + assert "Mrs. Margaret Thompson" in patient_card.value + assert "clarke-badge-review" in badge.value + + +def test_patient_context_html_contains_required_sections() -> None: + """Ensure context renderer outputs all S2 panel section headings. + + Args: + None: Test has no runtime parameters. + + Returns: + None: Assertions validate required section labels in generated HTML. + """ + + html = _format_patient_context_html( + { + "demographics": {"name": "Test Patient", "dob": "2000-01-01", "nhs_number": "123", "sex": "Female"}, + "problem_list": ["Condition"], + "medications": [{"name": "Metformin", "dose": "1 g", "frequency": "BD"}], + "allergies": [{"substance": "Penicillin", "reaction": "Rash"}], + "recent_labs": [{"name": "HbA1c", "value": "55", "unit": "mmol/mol", "trend": "rising"}], + "recent_imaging": [{"type": "CXR", "date": "2026-01-02", "summary": "Clear"}], + "clinical_flags": ["Flag"], + } + ) + + assert "Demographics" in html + assert "Problem List" in html + assert "Medications" in html + assert "Allergies" in html + assert "Recent Labs" in html + assert "Recent Imaging" in html + assert "Clinical Flags" in html + assert "clarke-clinical-flag" in html + + +def test_trend_symbol_and_timer_helpers() -> None: + """Ensure trend symbols and elapsed timer formatting behave as expected. + + Args: + None: Test has no runtime parameters. + + Returns: + None: Assertions validate helper outputs. + """ + + assert _trend_symbol("rising") == "↑" + assert _trend_symbol("falling") == "↓" + assert _trend_symbol("stable") == "→" + + started_at = (datetime.now(tz=timezone.utc) - timedelta(seconds=65)).isoformat() + timer = _update_recording_timer({"recording_started_at": started_at}) + assert timer in { + "
01:05
", + "
01:04
", + "
01:06
", + } + + +def test_processing_helpers_and_document_lifecycle(tmp_path, monkeypatch) -> None: + """Ensure processing progression and sign-off helpers produce expected outputs. + + Args: + tmp_path: Pytest temporary path fixture for file isolation. + monkeypatch: Pytest monkeypatch fixture for cwd redirection. + + Returns: + None: Assertions validate helper and workflow outputs. + """ + + monkeypatch.chdir(tmp_path) + (tmp_path / "data" / "demo").mkdir(parents=True) + + bar_html = _build_processing_bar_html(1) + assert "clarke-progress-segment active" in bar_html + + sections = _render_letter_sections([{"heading": "A", "content": "B"}]) + assert len(sections) == 4 + assert sections[0].startswith("A") + + state = { + "selected_patient": {"name": "Mrs. Margaret Thompson"}, + "patient_context": { + "demographics": {"nhs_number": "1234567890"}, + "problem_list": ["Type 2 diabetes mellitus"], + "recent_labs": [{"name": "HbA1c", "value": "55", "unit": "mmol/mol"}], + "allergies": [{"substance": "Penicillin", "reaction": "Rash"}], + }, + "consultation": {"status": "processing"}, + "processing_step": 2, + "processing_steps": ["Finalising transcript…", "Synthesising patient context…", "Generating clinical letter…"], + "processing_started_at": datetime.now(tz=timezone.utc).isoformat(), + } + + generated = _build_generated_document(state) + assert generated["status"] == "ready_for_review" + + progressed = _poll_processing_progress(state) + assert progressed[0]["screen"] == "s5" + assert progressed[1].startswith("Processing complete") + + signed = _sign_off_document(progressed[0], "Section 1\nLine", "Section 2\nLine", "", "") + assert "Signed Letter" in signed[2] + assert (tmp_path / "data" / "demo" / "latest_signed_letter.txt").exists() diff --git a/tests/test_medasr.py b/tests/test_medasr.py new file mode 100644 index 0000000000000000000000000000000000000000..f5ac08702e5ce45fe65088c4c9c496a34a75f445 --- /dev/null +++ b/tests/test_medasr.py @@ -0,0 +1,95 @@ +"""Tests for MedASR mock transcription and audio preprocessing utilities.""" + +from __future__ import annotations + +import wave +from pathlib import Path + +import pytest + +from backend.audio import convert_to_wav_16k, validate_audio +from backend.config import get_settings +from backend.errors import AudioError +from backend.models.medasr import MedASRModel + + +def _create_wav(path: Path, sample_rate: int, channels: int, duration_s: int) -> None: + """Create a deterministic silent PCM WAV file for tests. + + Args: + path (Path): Destination WAV path. + sample_rate (int): Output sample rate in Hz. + channels (int): Output channel count. + duration_s (int): Duration in seconds. + + Returns: + None: Writes WAV bytes to disk. + """ + n_frames = sample_rate * duration_s + sample_width = 2 + silence_frame = (0).to_bytes(sample_width, byteorder="little", signed=True) + frame_data = silence_frame * channels * n_frames + + path.parent.mkdir(parents=True, exist_ok=True) + with wave.open(str(path), "wb") as handle: + handle.setnchannels(channels) + handle.setsampwidth(sample_width) + handle.setframerate(sample_rate) + handle.writeframes(frame_data) + + +def test_convert_and_validate_audio_success(tmp_path: Path) -> None: + """Ensure conversion produces a valid 16kHz mono WAV accepted by validation. + + Args: + tmp_path (Path): Temporary test directory root. + + Returns: + None: Assertions validate conversion + validation contract. + """ + source = tmp_path / "source.wav" + output = tmp_path / "converted.wav" + + _create_wav(source, sample_rate=22050, channels=2, duration_s=8) + converted_path = convert_to_wav_16k(str(source), str(output)) + metadata = validate_audio(converted_path) + + assert metadata["sample_rate"] == 16000 + assert metadata["channels"] == 1 + assert metadata["duration_s"] > 5 + + +def test_validate_audio_raises_for_short_duration(tmp_path: Path) -> None: + """Ensure validation rejects too-short inputs per PRD constraints. + + Args: + tmp_path (Path): Temporary test directory root. + + Returns: + None: Expects AudioError to be raised. + """ + short_wav = tmp_path / "short.wav" + _create_wav(short_wav, sample_rate=16000, channels=1, duration_s=2) + + with pytest.raises(AudioError): + validate_audio(str(short_wav)) + + +def test_medasr_mock_transcribe_reads_demo_transcript(monkeypatch: pytest.MonkeyPatch) -> None: + """Ensure mock mode returns demo transcript text for known demo audio. + + Args: + monkeypatch (pytest.MonkeyPatch): Fixture for temporary env overrides. + + Returns: + None: Assertions validate mock transcript loading. + """ + monkeypatch.setenv("MEDASR_MODEL_ID", "mock") + get_settings.cache_clear() + + model = MedASRModel() + transcript = model.transcribe("data/demo/mrs_thompson.wav") + + assert "HbA1c" in transcript.text + assert transcript.word_count > 20 + assert transcript.consultation_id == "mrs_thompson" diff --git a/tests/test_prompts.py b/tests/test_prompts.py new file mode 100644 index 0000000000000000000000000000000000000000..240041d55be88cb1fd4e0d4d7cabbab30a3ab5fc --- /dev/null +++ b/tests/test_prompts.py @@ -0,0 +1,48 @@ +"""Tests for Jinja2 prompt templates used by EHR synthesis and document generation.""" + +from __future__ import annotations + +from jinja2 import Environment, FileSystemLoader + + +def test_document_generation_template_renders_required_sections() -> None: + """Render document template and assert key instruction and payload fields are present. + + Args: + None: Test constructs a Jinja2 environment directly from prompt directory. + + Returns: + None: Assertions validate rendered output content. + """ + + env = Environment(loader=FileSystemLoader("backend/prompts")) + template = env.get_template("document_generation.j2") + rendered = template.render( + letter_date="13 Feb 2026", + clinician_name="Dr. Chen", + clinician_title="Consultant", + transcript="HbA1c discussed with fatigue and thirst symptoms.", + context_json='{"recent_labs": [{"test": "HbA1c", "value": 55}]}', + ) + + assert "NHS clinical documentation assistant" in rendered + assert "HbA1c discussed with fatigue and thirst symptoms." in rendered + assert '"value": 55' in rendered + + +def test_context_synthesis_template_includes_required_inputs() -> None: + """Render context synthesis template and assert patient and raw FHIR fields are injected. + + Args: + None: Test renders template with simple payload placeholders. + + Returns: + None: Assertions validate required variable interpolation. + """ + + env = Environment(loader=FileSystemLoader("backend/prompts")) + template = env.get_template("context_synthesis.j2") + rendered = template.render(patient_id="pt-001", raw_fhir_data='{"resourceType": "Bundle"}') + + assert "PATIENT ID: pt-001" in rendered + assert 'RAW FHIR DATA:\n{"resourceType": "Bundle"}' in rendered diff --git a/tests/test_schemas.py b/tests/test_schemas.py new file mode 100644 index 0000000000000000000000000000000000000000..5ce997cef9a2ff5cdca69f2faa9c8ef31c42b3e0 --- /dev/null +++ b/tests/test_schemas.py @@ -0,0 +1,221 @@ +"""Validation tests for Clarke Pydantic schemas.""" + +from __future__ import annotations + +from pydantic import ValidationError +import pytest + +from backend.schemas import ( + ClinicalDocument, + Consultation, + ConsultationStatus, + DocumentSection, + ErrorResponse, + LabResult, + Patient, + PatientContext, + PipelineProgress, + PipelineStage, + Transcript, +) + + +def valid_patient_data() -> dict: + """Return valid fixture data for a Patient model instance.""" + return { + "id": "pt-001", + "nhs_number": "123 456 7890", + "name": "Mrs. Margaret Thompson", + "date_of_birth": "01/02/1959", + "age": 67, + "sex": "Female", + "appointment_time": "09:30", + "summary": "T2DM follow-up with rising HbA1c", + } + + +def valid_lab_result_data() -> dict: + """Return valid fixture data for a LabResult model instance.""" + return { + "name": "HbA1c", + "value": "55", + "unit": "mmol/mol", + "reference_range": "20-42", + "date": "2026-02-01", + "trend": "rising", + "previous_value": "48", + "previous_date": "2025-11-01", + "fhir_resource_id": "obs-123", + } + + +def valid_patient_context_data() -> dict: + """Return valid fixture data for a PatientContext model instance.""" + return { + "patient_id": "pt-001", + "demographics": { + "name": "Mrs. Margaret Thompson", + "dob": "01/02/1959", + "nhs_number": "123 456 7890", + "age": 67, + "sex": "Female", + "address": "1 Clinic Road", + }, + "problem_list": ["Type 2 Diabetes Mellitus (2019)", "Hypertension"], + "medications": [{"name": "Metformin", "dose": "1g", "frequency": "BD", "fhir_id": "med-1"}], + "allergies": [{"substance": "Penicillin", "reaction": "Anaphylaxis", "severity": "high"}], + "recent_labs": [valid_lab_result_data()], + "recent_imaging": [{"type": "CXR", "date": "2026-01-15", "summary": "No acute findings"}], + "clinical_flags": ["HbA1c rising trend over 6 months"], + "last_letter_excerpt": "Continue current regimen and repeat labs in 3 months.", + "retrieval_warnings": [], + "retrieved_at": "2026-02-13T09:00:00Z", + } + + +def valid_transcript_data() -> dict: + """Return valid fixture data for a Transcript model instance.""" + return { + "consultation_id": "cons-001", + "text": "Patient reports higher home glucose readings.", + "duration_s": 58.7, + "word_count": 120, + "created_at": "2026-02-13T09:05:00Z", + } + + +def valid_document_section_data() -> dict: + """Return valid fixture data for a DocumentSection model instance.""" + return { + "heading": "Assessment", + "content": "Glycaemic control has worsened compared with prior review.", + "editable": True, + "fhir_sources": ["obs-123", "cond-200"], + } + + +def valid_clinical_document_data() -> dict: + """Return valid fixture data for a ClinicalDocument model instance.""" + return { + "consultation_id": "cons-001", + "letter_date": "2026-02-13", + "patient_name": "Mrs. Margaret Thompson", + "patient_dob": "01/02/1959", + "nhs_number": "123 456 7890", + "addressee": "Dr. Patel, Clarke Medical Practice", + "salutation": "Dear Dr. Patel,", + "sections": [valid_document_section_data()], + "medications_list": ["Metformin 1g BD", "Gliclazide 40mg OD"], + "sign_off": "Dr. S. Chen, Consultant Diabetologist", + "status": ConsultationStatus.REVIEW, + "generated_at": "2026-02-13T09:06:00Z", + "generation_time_s": 14.2, + "discrepancies": [], + } + + +def valid_consultation_data() -> dict: + """Return valid fixture data for a Consultation model instance.""" + return { + "id": "cons-001", + "patient": valid_patient_data(), + "status": ConsultationStatus.PROCESSING, + "pipeline_stage": PipelineStage.GENERATING_DOCUMENT, + "context": valid_patient_context_data(), + "transcript": valid_transcript_data(), + "document": valid_clinical_document_data(), + "started_at": "2026-02-13T09:00:00Z", + "ended_at": "2026-02-13T09:07:00Z", + "audio_file_path": "data/demo/mrs_thompson.wav", + } + + +def test_enums_have_expected_values() -> None: + """Ensure enum values exactly match the technical specification.""" + assert [status.value for status in ConsultationStatus] == [ + "idle", + "recording", + "paused", + "processing", + "review", + "signed_off", + ] + assert [stage.value for stage in PipelineStage] == [ + "transcribing", + "retrieving_context", + "generating_document", + "complete", + "failed", + ] + + +@pytest.mark.parametrize( + "model_cls,payload", + [ + (Patient, valid_patient_data()), + (LabResult, valid_lab_result_data()), + (PatientContext, valid_patient_context_data()), + (Transcript, valid_transcript_data()), + (DocumentSection, valid_document_section_data()), + (ClinicalDocument, valid_clinical_document_data()), + (Consultation, valid_consultation_data()), + ( + PipelineProgress, + { + "consultation_id": "cons-001", + "stage": PipelineStage.TRANSCRIBING, + "progress_pct": 40, + "message": "Transcribing audio...", + }, + ), + ( + ErrorResponse, + { + "error": "timeout", + "message": "Pipeline exceeded timeout window.", + "detail": "operation exceeded 120s", + "consultation_id": "cons-001", + "timestamp": "2026-02-13T09:08:00Z", + }, + ), + ], +) +def test_models_validate_with_valid_data(model_cls: type, payload: dict) -> None: + """Confirm each schema accepts a representative valid payload.""" + instance = model_cls.model_validate(payload) + assert instance is not None + + +@pytest.mark.parametrize( + "model_cls,payload", + [ + (Patient, {**valid_patient_data(), "age": "sixty-seven"}), + (Patient, {k: v for k, v in valid_patient_data().items() if k != "id"}), + (LabResult, {**valid_lab_result_data(), "date": 20260201}), + (PatientContext, {**valid_patient_context_data(), "problem_list": "diabetes"}), + (Transcript, {**valid_transcript_data(), "duration_s": [58.7]}), + (DocumentSection, {**valid_document_section_data(), "editable": {"value": True}}), + (ClinicalDocument, {**valid_clinical_document_data(), "sections": "Assessment text"}), + (Consultation, {**valid_consultation_data(), "pipeline_stage": "bad_stage"}), + ( + PipelineProgress, + { + "consultation_id": "cons-001", + "stage": PipelineStage.TRANSCRIBING, + "progress_pct": 120, + "message": "Out of bounds", + }, + ), + ( + ErrorResponse, + { + "message": "Missing error field", + "timestamp": "2026-02-13T09:08:00Z", + }, + ), + ], +) +def test_models_reject_invalid_data(model_cls: type, payload: dict) -> None: + """Ensure schemas reject payloads with invalid types or missing required fields.""" + with pytest.raises(ValidationError): + model_cls.model_validate(payload) diff --git a/tests/test_train_lora.py b/tests/test_train_lora.py new file mode 100644 index 0000000000000000000000000000000000000000..5c57915ac3bef0b7566db38ea9be49b9630bedd7 --- /dev/null +++ b/tests/test_train_lora.py @@ -0,0 +1,105 @@ +"""Unit tests for LoRA fine-tuning data preparation and fallback configuration.""" + +from __future__ import annotations + +import json +from pathlib import Path + +from finetuning.train_lora import ( + build_attempt_sequence, + build_dataset, + format_training_example, + load_training_records, +) + + +def test_load_training_records_reads_required_keys(tmp_path: Path) -> None: + """Load JSONL records and keep required training keys. + + Args: + tmp_path (Path): Pytest temporary directory fixture. + + Returns: + None: Uses assertions for validation. + """ + + train_path = tmp_path / "train.jsonl" + row = { + "transcript": "Consultation text", + "context": {"patient": "pt-001"}, + "reference_letter": "Reference letter text", + } + train_path.write_text(json.dumps(row) + "\n", encoding="utf-8") + + records = load_training_records(train_path) + + assert len(records) == 1 + assert records[0]["transcript"] == "Consultation text" + + +def test_format_training_example_renders_prompt_tokens() -> None: + """Render transcript/context placeholders and append reference completion. + + Args: + None: Uses inline sample data. + + Returns: + None: Uses assertions for validation. + """ + + sample = { + "transcript": "Patient reports fatigue", + "context": {"hba1c": 55}, + "reference_letter": "Dear GP, follow-up arranged.", + } + template = "Transcript: {{ transcript }}\nContext: {{ context_json }}\nDate: {{ letter_date }}" + + output = format_training_example(sample, template) + + assert "Patient reports fatigue" in output + assert '"hba1c": 55' in output + assert "Dear GP, follow-up arranged." in output + + +def test_build_dataset_creates_text_column(tmp_path: Path) -> None: + """Create Dataset object with expected text column for SFTTrainer. + + Args: + tmp_path (Path): Pytest temporary directory fixture. + + Returns: + None: Uses assertions for validation. + """ + + template_path = tmp_path / "document_generation.j2" + template_path.write_text("{{ transcript }} :: {{ context_json }}", encoding="utf-8") + samples = [ + { + "transcript": "A", + "context": {"foo": "bar"}, + "reference_letter": "B", + } + ] + + dataset = build_dataset(samples, template_path) + + assert len(dataset) == 1 + assert "text" in dataset.column_names + + +def test_build_attempt_sequence_contains_default_and_fallback() -> None: + """Verify Task 28 fallback sequence order and values. + + Args: + None: Uses function output only. + + Returns: + None: Uses assertions for validation. + """ + + attempts = build_attempt_sequence() + + assert len(attempts) == 2 + assert attempts[0].lora_rank == 16 + assert attempts[1].lora_rank == 8 + assert attempts[1].sample_limit == 100