Regenstrief Institute research scientists and fellows shared work on artificial intelligence, health information exchange and public health informatics at the American Medical Informatics Association (AMIA) 2026 Annual Symposium, held November 7–11 in Dallas.
The symposium’s theme, “Harnessing Informatics to Accelerate Learning Health Systems,” aligned with Regenstrief’s work to turn health data into evidence that informs care.
Regenstrief Institute research scientists Shaun Grannis, M.D., M.S., and Chris Harle, PhD, M.S., participated in sessions on how health information exchange and research technology support learning health systems. Harle also joined a debate on the role of randomized controlled trials as new sources of clinical evidence emerge.
Jiang Bian, PhD, chief data scientist at Regenstrief Institute, joined a panel on the role of AI in scientific writing, peer review and knowledge generation. Brian Dixon, PhD, MPA, a Regenstrief Institute research scientist, participated in a workshop on setting a national public health informatics research agenda and a separate panel on the public health informatics workforce.
Regenstrief Institute fellow Leigh Anne Tang, PhD, M.S., gave an oral presentation on AI oversight and presented a poster on using electronic health records to measure community displacement. MaKenzie Gee, M.S., a Regenstrief Institute predoctoral fellow, presented two posters on chronic pain care. One examined patients’ preferences for using AI to manage chronic pain. The other used a large language model to analyze patient goals documented in electronic health records.
Regenstrief Institute affiliate scientist Shuning Li, PhD, M.S., presented a poster on integrating medical data into dental care. Grannis presented a poster on evaluating privacy-preserving record linkage across a statewide health information exchange.