Breaking Barriers in Lupus Research: UT Southwestern Advances Recruitment Through Real-World Data and Predictive Analytics
UT Southwestern Medical Center's Division of Rheumatic Diseases, led by Dr. David Karp, works on enrollment for systemic lupus erythematosus (SLE) trials, a rare autoimmune disease disproportionately affecting women of color. Despite having 1,000-1,200 lupus patients at any given time, the team faced significant barriers finding eligible trial participants. The page states TriNetX's real-world data and predictive analytics are being used to address these recruitment obstacles, but does not disclose specific outcome numbers on this landing page -- it directs readers to a full downloadable case study.
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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