Grant
Supports New Effort to Bring Artificial Intelligence Into Residency Training
Sam
Houston State University College of Osteopathic Medicine (SHSU-COM) has been
awarded $25,000 through the Innovations in Graduate Medical Education (GME)
Development Grant from the American Association of Colleges of Osteopathic
Medicine (AACOM). The three-year award will support a new initiative, AI Across
Residency, focused on bringing artificial intelligence training into residency
programs.
Artificial
intelligence (AI) is already showing up in healthcare, helping with diagnosis,
patient communication and everyday clinical work. But while many doctors in
residency may have been exposed to AI tools, few have received formal education
on how to evaluate and use them in practice as the technology evolves.
At
its core, AI Across Residency focuses on helping physicians learn how to use
emerging technology in ways that support patient care, not distract from it. As
more healthcare systems adopt new tools, doctors who are trained to use them
well can help reduce delays, improve efficiency and support better outcomes,
especially in rural and underserved communities.
The
program will be based at SHSU-COM and carried out across residency programs
connected through the Sam Houston Regional Education Consortium. It focuses on
training doctors in family medicine, internal medicine and rural medicine while
building a model other residency programs can adopt.
Support
for the program also comes from SHSU-COM’s Medical Artificial Intelligence
Institute, which brings together clinicians, researchers and educators to
advance responsible, patient-centered use of emerging technologies in
healthcare.
“This
work is about preparing physicians for the reality of modern medicine,” said
Thomas J. Mohr, DO, vice president for medical affairs at Sam Houston State
University and dean of SHSU-COM. “We want our residents to understand these
tools, think critically about them and use them in ways that support better
care for patients.”
Rather
than focusing on a single set of tools, the program introduces AI in stages,
moving from basic understanding to real-world use in patient care.
Key
components include: