Health Technologies:

Epic-Native AI TrialMatch: Faster, Smarter Clinical Trial Enrollment

Michael Dohopolski, M.D.

• Assistant Professor of Internal Medicine, UT Southwestern

Profile Michael Dohopolski

Clinical trials fail or are delayed every day because eligible patients are buried inside electronic health records and never identified in time. Dr. Dohopolski has built an AI-powered trial prescreening engine that runs directly inside Epic, automatically scanning both structured data and physician notes to flag eligible patients in real time. The system keeps clinicians and coordinators “in the loop,” combining AI speed with human judgment to ensure accuracy, trust, and regulatory comfort. Early use across multiple trials shows the potential to dramatically shorten enrollment timelines while reducing manual screening costs. This Epic-native platform addresses a multi-billion-dollar inefficiency in clinical research and positions UTSW to lead in AI-enabled trial operations.