| --- |
| title: "House Oversight: Estate Documents (Nov 12) (HOUSE_OVERSIGHT_024050)" |
| source: "House Oversight: Estate Documents (Nov 12)" |
| sourceUrl: "https://www.justice.gov/epstein" |
| date: "2026-01-01" |
| category: "House Oversight" |
| eftaNumber: "HOUSE_OVERSIGHT_024050" |
| ocrPages: 1 |
| ocrChars: 3471 |
| ocrElapsed: 0.0 |
| parseTier: "external-legacy" |
| engine: "engine undisclosed (ep-nov-12.greg.technology mirror)" |
| externalSource: "greg-ep-nov-12" |
| externalLicense: "not granted" |
| externalCredit: "ep-nov-12.greg.technology" |
| externalUrl: "https://ep-nov-12.greg.technology" |
| --- |
| |
| • Investment Theme - Care Coordination: Today in healthcare, most conditions require the |
| involvement of multiple healthcare professionals, including primary care physicians, |
| specialists, nurses, assistants, and therapists, and the care they provide must be |
| managed closely with participation from the patients themselves and their tamily |
| members. Unfortunately, poor coordination and information sharing amongst |
| caregivers creates significant inefficiencies at the points of hand-off between providers, |
| leading to repeat tests, missed diagnoses, and expensive mistakes that diminish |
| outcomes, and in some cases put patients at substantial risk. TigerText (NLV-II) has |
| developed a secure text messaging platform that can be used on any mobile phone that |
| allows healthcare professionals to rapidly communicate and exchange clinical data files |
| to improve and coordinate care. |
| Investment Theme - Clinical Error Reduction: Administrative, medication and procedural |
| errors are responsible for billions of dollars of cost annually in the U.S. healthcare |
| system. Many of these problems can be reduced by bringing relevant information into |
| the right setting at the appropriate time. For example, ePocrates (Sprout IX, NASDAQ: |
| EPOC - Acquired by athenahealth for $293 million, 3.1x multiple) allows physicians to |
| quickly reference drug formulary, dosing and interaction information, thus reducing the |
| error rate in prescriptions. |
| Problem Area: Unnecessary Services & Missed Prevention Opportunities |
| • Investment Theme - Analytics & Data-Driven Personalization: Many conditions are currently |
| diagnosed on single or limited data points, measured in the hospital or physicians' |
| office, that may not accurately reflect (or detect) the patients' condition. Examples |
| include diseases with episodic or fluctuating symptoms such as cardiac arrhythmias, |
| Technologies (NLV-II) developed and markets an innovative, highly wearable, patch |
| technology capable of recording continuous electrocardiograms for up to 14 days. This |
| product has demonstrated a 5x improvement in diagnostic yield for cardiac arrhythmias |
| relative to 24 - 48 hour Holter monitoring. |
| The large scale deployment of electronic medical records ("EMRs"), healthcare |
| information exchanges, and diagnostic and monitoring technologies, is driving |
| exponential growth in professional health data around patient care and outcomes. At |
| the same time, patients are discussing and sharing their own health care experiences and |
| personal health data involving providers, therapeutics, and procedures on the internet. |
| These vast and rapidly growing professional and consumer oriented healthcare data sets |
| create an unprecedented repository of longitudinal data on populations of patients. By |
| mining these data sets using big-data techniques and technologies that are being |
| deployed successfully in other industries, it is possible to identify important findings |
| that have huge commercial value that might previously have never have been detected. |
| Specifically, the Fund Managers believe analytics applied to these data sets will allow |
| care gaps to be readily identified and addressed, and best practices to be frequently |
| revised, leading to a consistent iterative cycle of improvement. Treato (NLV-II) has |
| developed a social health intelligence platform (aka "Social Listening") that identifies, |
| analyzes and aggregates medical user generated content spread widely across the web |
| 39 |
| CONTROL NUMBER 257 - CONFIDENTIAL |
| HOUSE_OVERSIGHT_024050 |
|
|
