Leveraging AI to Accelerate Competency-Based Education in the Health Professions.
13 affiliations
- 1Josiah Macy Jr. Foundation, New York, NY, USA.
- 2American Board of Medical Specialties Research and Education Foundation, Associate Professor of Pediatrics and Emergency Medicine, Harvard Medical School and Scholar-in-Residence, Brigham Education Institute, Boston, MA, USA.
- 3University of Cincinnati College of Medicine, Cincinnati OH, USA.
- 4Faculty of Health, Medicine, and Life Sciences, Maastricht University, The Netherlands.
- 5Horacio Oduber Hospital, Aruba.
- 6Department for Assessment and Evaluation, Institute for Medical Education, University of Bern, Switzerland.
- 7Graduate Programs in Surgical Education, University of Melbourne Melbourne, Australia.
- 8Faculty of Health and Medicine, University of Newcastle, Gosford, New South Wales, Australia.
- 9Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore.
- 10University of California, San Francisco (UCSF) School of Medicine, San Francisco, CA, USA.
- 11Academic Office, Taipei Medical University and Hospital, Taipei, Taiwan.
- 12Stanford University School of Medicine, Stanford, CA, USA.
- 13Department of Medicine, University of California, San Francisco (UCSF) School of Medicine, San Francisco, CA, USA.
Abstract
The concurrent uptake of both artificial intelligence (AI) and competency-based health professions education (CBHPE) represents a watershed opportunity to improve and streamline educational processes and enhance educational effectiveness. Members of the International Competency-based Health Professions Educators Collaborative (ICBHPE) explored the potential of AI to strengthen CBHPE implementation by addressing persistent challenges in meeting its five core components: defined outcome competencies; progressive sequencing; tailored learning experiences; competency-focused instruction; and programmatic assessment. Effective integration of AI tools can be guided by socio-technical systems theory (STST), which highlights the significant interdependence of technical systems and social systems. Successful application of AI in HPE will hinge on addressing the complex interactions among people and roles; goals and incentives; workflows and processes; technology; infrastructure; and organizational culture. Health professions educators should enhance their fundamental knowledge of how AI tools are developed and deployed to understand both its potential and its limitations. The HPE community must rigorously evaluate AI applications to ensure responsible and equitable integration that complements human relationships and judgment.
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BibTeX
@article{lomis2026leveraging,
title = {{Leveraging AI to Accelerate Competency-Based Education in the Health Professions.}},
author = {Kimberly D Lomis and Martin V Pusic and Eric Warm and Jamiu O Busari and Soren Huwendiek and Ian W Incoll and Lydia Siew Tiang Lau and Christy K Boscardin and Jonathan H Chen and Pedro Tanaka and Karen E Hauer and As members of the International Competency-Based Health Professions Educators Collaborative},
journal = {Perspectives on medical education},
year = {2026},
month = oct,
doi = {10.5334/pme.2594},
url = {https://europepmc.org/article/MED/42921246},
note = {CC BY},
}
RIS
TY - JOUR
TI - Leveraging AI to Accelerate Competency-Based Education in the Health Professions.
AU - Kimberly D Lomis
AU - Martin V Pusic
AU - Eric Warm
AU - Jamiu O Busari
AU - Soren Huwendiek
AU - Ian W Incoll
AU - Lydia Siew Tiang Lau
AU - Christy K Boscardin
AU - Jonathan H Chen
AU - Pedro Tanaka
AU - Karen E Hauer
AU - As members of the International Competency-Based Health Professions Educators Collaborative
PY - 2026
DA - 2026/10/22
JO - Perspectives on medical education
DO - 10.5334/pme.2594
UR - https://europepmc.org/article/MED/42921246
AB - The concurrent uptake of both artificial intelligence (AI) and competency-based health professions education (CBHPE) represents a watershed opportunity to improve and streamline educational processes and enhance educational effectiveness. Members of the International Competency-based Health Professions Educators Collaborative (ICBHPE) explored the potential of AI to strengthen CBHPE implementation by addressing persistent challenges in meeting its five core components: defined outcome competencies; progressive sequencing; tailored learning experiences; competency-focused instruction; and programmatic assessment. Effective integration of AI tools can be guided by socio-technical systems theory (STST), which highlights the significant interdependence of technical systems and social systems. Successful application of AI in HPE will hinge on addressing the complex interactions among people and roles; goals and incentives; workflows and processes; technology; infrastructure; and organizational culture. Health professions educators should enhance their fundamental knowledge of how AI tools are developed and deployed to understand both its potential and its limitations. The HPE community must rigorously evaluate AI applications to ensure responsible and equitable integration that complements human relationships and judgment.
SN - 2212-2761
SN - 2212-277X
ER -