Using AI for More Comprehensive Health Data and Better Patient Outcomes

Posted on January 17, 2025
Four UIC faculty members smiling as they pose outside on a sunny day, next to a large red UIC sign
UIC faculty members Mary Khetani, Tanvi Bhatt, Andrew Boyd and Samantha Bond are investigators on a new AI project. Each are faculty at the College of Applied Health Sciences.

UIC is co-lead on an innovative, interdisciplinary project that will use artificial intelligence to create holistic datasets that could transform the delivery health care and improve patient outcomes. With $10 million funding from the federal Advanced Research Projects Agency for Health (ARPA-H), the project is a collaboration between UIC, University of Iowa, University of Missouri, Loyola University, Microsoft and Tackle AI.

The aim of the project is to integrate health data from a broader range of health professionals, including nurses, physical and occupational therapists, and speech and language pathologists, adding it to data collected from physician visits and lab results. “Other professions see patients more frequently and provide very high-fidelity data that gets closer to the reality of the patient, instead of just the brief snapshots in time that you get from data documented by physicians,” said Andrew Boyd, UIC associate vice chancellor for research and chief research information officer, and a principal investigator on the project. He observed that UIC has a rich diversity of expertise across disciplines, “so we can pull everyone together, including our collaborating institutions, and try to transform the way we look at health care data.”

Other UIC faculty involved in the project are Professor Barbara Di Eugenio and Associate Professor Natalie Parde (computer science), Clinical Professor Miiri Kotche (biomedical engineering), and Associate Professor David Chestek (clinical emergency medicine).

Modified on January 07, 2025