
Integrating AI Into Family Medicine Curriculum Design with Linda Chang, PharmD, MPH, and Rika Bajra, MD
Learning the “basics” of AI begins with understanding how AI can help lighten the load family medicine educators carry every day in the clinic and classroom. In the first episode of our AI Deep Dive Summer Series, Drs Linda Chang and Rika Bajra discuss how AI has already affected medical education, from curriculum design and competency-based education to formative assessment and personalized learning. They show how AI literacy allows educators to reclaim time to focus on the human-centered aspects of patient care and medical education. And if you feel like it’s too late to start learning about AI, they offer practical tips for both using and teaching AI in medical education.
Hosted by Omari A. Hodge, MD, FAAFP and Jay-Sheree Allen Akambase, MD
Copyright © Society of Teachers of Family Medicine, 2026
Resources:
- Artificial Intelligence and Machine Learning for Primary Care Curriculum (AiMPC) Course
- Ethical Use of AI in the Family Medicine Clinic - STFM Webinar
- An Opportunity to Thrive - AI in Family Medicine - STFM Podcast
- Establishing a National Framework for Family Medicine AI Centers of Excellence - Fam Med.
Linda Chang, PharmD, MPH
Dr Chang is an Associate Professor of Clinical Medicine at the University of Illinois Chicago (UIC) College of Medicine Rockford, with a background as a board-certified clinical pharmacist, a degree in Public Health, and ongoing studies toward a Master’s in Health Professions Education. She spent 17 years as faculty in the Family Medicine Residency Program and currently serves as the Pharmacology Theme Director at the College of Medicine, where she teaches evidence-based medicine and public health. Her work reflects an interdisciplinary approach to medical education that integrates clinical practice, public health, and emerging technologies. As co-director of the AI in Medicine theme at UIC, Dr Chang has co-led the development and implementation of a longitudinal, integrated AI in Medicine curriculum, a fourth-year elective course, and an AI in Medicine scholarly concentration program.
Rika Bajra, MD
Dr Bajra is an Assistant Clinical Professor in Primary Care and Population Health at Stanford School of Medicine, where she practices as a family physician and teaches medical students as the Associate Director of the Clerkship in Family and Community Medicine. In her roles as Telehealth Co-Director and Telemedicine Education Curriculum Lead, she is focused on integrating technology tools into clinical practices and medical education through a primary care lens. She has previously developed telemedicine curricula with the STFM Telemedicine Task Force and received an Association of American Medical Colleges (AAMC) grant to create a longitudinal telemedicine curriculum. Currently, Dr Bajra is exploring the integration of artificial intelligence into the Family Medicine curriculum and its application in reducing faculty burden in Objective Structured Clinical Examination (OSCE) assessments. In her personal life, she lives with her husband and three boys and enjoys hiking and traveling.
Link: https://www.stfm.org/stfmpodcast062026
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