Penn State Increases Access to Data, Enhances Research Efforts by Joining TriNetX Research Network
Penn State College of Medicine and Penn State Health Milton S. Hershey Medical Center were limited to their internal dataset of about 1.5 million records for advanced informatics research. Joining the TriNetX Research Network gave them access to de-identified data from over 68 million patients across 49 healthcare organizations. Within six months, Penn State researchers downloaded nearly 30 datasets, published four studies (including one in The Lancet), and successfully applied for three informatics grants -- achievements the organization said would have been "extremely difficult" without TriNetX.
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.
Published by TriNetX on its own site — read the original case study on trinetx.com ↗
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