Expanding and Accelerating Research at University of Texas Medical Branch (UTMB) Blocker Burn Unit with TriNetX

UTMB Health's Blocker Burn Center in Galveston faced challenges conducting large-scale burn research given institutional review constraints. Adopting TriNetX's de-identified data platform gave researchers access to nearly 200,000 burn-patient records, far larger than the 10,000-15,000-patient traditional burn databases, enabling faster, more longitudinally detailed analysis. Key findings included 50 different drugs implicated in causing toxic epidermal necrolysis (versus the previously assumed 1-3), and mortality-rate variability of 20-100% for 50%-body-surface burns (versus a previously assumed flat 40% rate). UTMB now has 18 active studies underway using TriNetX data.

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.