University of Oxford, U.K. Uses TriNetX Platform to Conduct Research on Mental Health Impact of COVID-19

Dr. Paul Harrison and colleagues at the University of Oxford wanted to know whether COVID-19 caused mental-health and neurological disorders, and whether pre-existing psychiatric conditions increased COVID-19 susceptibility. Using the TriNetX platform's near-real-time healthcare data, they completed their initial retrospective cohort analysis within a few weeks. The research produced three major peer-reviewed studies, including papers in Lancet Psychiatry and PLOS Medicine; one paper's Altmetric score exceeded 12,000 (top 0.01% of all published papers), generating substantial international media coverage and informing post-COVID psychiatric and neurological service planning and policy.

TriNetX is a federated real-world-data network where data stays behind each health system's firewall and is queried in place, used for cohort discovery and trial-site feasibility.

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.