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PEPCAL: A Heuristic Framework for Teaching Generative AI to Continuing Professional Education Providers and Faculty

Heather MacNeill1, Ken Masters, Jennifer Benjamin

  • 1Dr. MacNeill: Assistant Dean, Clinical Faculty Development, Toronto Metropolitan University, School of Medicine, Toronto, Ontario, Canada, and Professor, Temerty Faculty of Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada. Dr. Masters: Professor of Medical Informatics, Medical Education and Informatics Department, College of Medicine and Health Sciences, Sultan Qaboos University, Sultanate of Oman. Dr. Benjamin: Assistant Dean of CPD, Associate Professor, Pediatrics, Department of Pediatrics, Huffington Department of Education Innovation and Technology, Baylor College of Medicine, and Co-Director for Faculty College Texas Children's Hospital, Houston, TX. Dr. Mehta: Professor of Medicine and Associate Dean for Curricular Affairs, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University School of Medicine, and The Jones Day Endowed, Chair in Medical Education, Cleveland Clinic, Cleveland, OH, and Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH. Dr. Agrawal: Associate Professor in Internal Medicine and Pediatrics, Program Director for the Combined Internal Medicine and Pediatrics Residency Program, Baylor College Medicine, Houston, TX. Dr. Valanci-Aroesty: Consultant for Royal College of Physicians and Surgeons of Canada, Ottawa, Canada.

The Journal of Continuing Education in the Health Professions
|July 17, 2026
PubMed

Keywords:
continuing medical education (MeSH heading)continuing professional developmenteducational technology (MeSH heading)faculty developmentframeworks and learning theoriesgenerative artificial intelligence (MeSH heading)

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