How 100M+ EHR Records Accelerated COVID-19 Analysis

Researchers needed to overcome typical barriers to healthcare data access -- costly, incomplete datasets, with sources like Medicare claims taking up to two years to release -- in order to study COVID-19. Using Datavant's data collaboration platform, they accessed a dataset of 100+ million linked EHR records with national scope in near-real-time, intended to guide healthcare policy during the pandemic. The page names multiple contributing organizations (including Quest Diagnostics, LiveRamp, and TriNetX) but does not state specific findings or outcomes from the analysis.

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.