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TriNetX — Federated global real-world health data network: de-identified/anonymized longitudinal electronic health records for ~300 million individuals (170M US) drawn from 240+ healthcare organizations and 11,000-13,000+ provider locations, plus ambulatory/medical/pharmacy claims on ~190 million patients and EHR-linked genomic/proteomic cohorts available for licensed, privacy-preserving record linkage. Large-scale commercial real-world data network: ~$50-60M revenue, 200-300 employees, ~$55M raised, 240+ healthcare organization contributors, 300M+ patients covered, and the most-cited EHR dat…
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Federated global real-world health data network: de-identified/anonymized longitudinal electronic health records for ~300 million individuals (170M US) drawn from 240+ healthcare organizations and 11,000-13,000+ provider locations, plus ambulatory/medical/pharmacy claims on ~190 million patients and EHR-linked genomic/proteomic cohorts available for licensed, privacy-preserving record linkage
Scale 300M+ patient-level longitudinal records (186M USFrom 20 yearsCoverage Health Care
Sample, licence terms, pricing and eval results when TriNetX publishes them. Until then, discover alternatives today with a 7-day trial.
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TriNetX — Federated global real-world health data network: de-identified/anonymized longitudinal electronic health records for ~300 million individuals (170M US) drawn from 240+ healthcare organizations and 11,000-13,000+ provider locations, plus ambulatory/medical/pharmacy claims on ~190 million patients and EHR-linked genomic/proteomic cohorts available for licensed, privacy-preserving record linkage. Large-scale commercial real-world data network: ~$50-60M revenue, 200-300 employees, ~$55M raised, 240+ healthcare organization contributors, 300M+ patients covered, and the most-cited EHR dat…
TriNetX offers (Alternative, Fundamental, Reference) — 300M+ patient-level longitudinal records (186M US, 72M EMEA, 23M LatAm, 21M APAC) plus 190M patients of medical/pharmacy claims — plausibly billions of discrete coded clinical events; exact byte volume not disclosed.
Real-world evidence generation for regulators; clinical trial protocol feasibility, site selection and patient recruitment; comparative-effectiveness and safety surveillance; training/validation of predictive phenotype, risk-score and synthetic-data models; AI training algorithms for digital health products; commercial forecasting of drug uptake and market sizing for listed pharma
The data is with 20 years of history.
Coverage spans US, UK, Europe, Japan; Health Care Technology; alternative, fundamental, reference; equities.
TriNetX has not added their own details yet. Not yet on file: