Research Using Health Data Connected by Datavant

The page frames the core need as connecting data at the patient level to gain a deep, longitudinal view of how interventions and policies affect patient outcomes. Datavant has enabled peer-reviewed research by connecting health data across organizations and sources for longitudinal patient-journey analysis. The page cites platform-wide scale figures — more than 60 million healthcare records moved between organizations, partnerships with 80,000+ hospitals and clinics, service to 75% of the 100 largest health systems, and 350+ real-world data partners — and displays partner logos (Quest Diagnostics, Invitae, TriNetX, Tempus, etc.), but does not detail specific individual research findings or study results on the visible page.

The customer is anonymised in Datavant’s own case study — not withheld by us.

Datavant is the tokenization and linkage infrastructure behind most of the US real-world-data ecosystem — it de-identifies and connects patient records across health-data partners without exposing PII.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.