Designing Faculty Development for AI Skill Building in Health Professions Education: Applied Insights from a Longitudinal Program

AI skill development is essential in health professions education (HPE), yet this type of faculty development is complex to design and implement. While competency frameworks and AI education programs are emerging, many faculty developers are themselves still building AI literacy and confidence, and practical guidance for how to design a faculty development program on AI that is accessible, skill-oriented, and responsive to rapid technological change remains limited. Although webinars and workshops can only do so much, a well-planned faculty development program can provide a great introduction to AI, alleviate fears, and inspire participants to keep growing and learning. Drawing on our experience designing and hosting the AAMC GEA AI Skill-Building Webinar Series and the current literature in AI, this article offers twelve practical tips for faculty developers who are creating AI-focused learning opportunities for everyone involved in HPE. These tips will help readers create robust AI skill-building sessions that move participants beyond awareness of AI and shift their perspectives toward applied, reflective, and responsible use of AI in HPE.

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Publication Details

Journal
MedEdPublish
Published
2026-10-05
DOI
https://doi.org/10.12688/mep.21847.1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing Faculty Development for AI Skill Building in Health Professions Education: Applied Insights from a Longitudinal Program

Stacey Pylman, Elissa Hall, Boyung Suh, Emily Rush et al.
MedEdPublish
Artificial Intelligence in Healthcare and Education
article

Designing Faculty Development for AI Skill Building in Health Professions Education: Applied Insights from a Longitudinal Program

Stacey Pylman, Elissa Hall, Boyung Suh, Emily Rush, Heather A. Billings, Larry Hurtubise, John Lowry, Priti Parikh, Tonya V. Anderson
article en

Abstract

AI skill development is essential in health professions education (HPE), yet this type of faculty development is complex to design and implement. While competency frameworks and AI education programs are emerging, many faculty developers are themselves still building AI literacy and confidence, and practical guidance for how to design a faculty development program on AI that is accessible, skill-oriented, and responsive to rapid technological change remains limited. Although webinars and workshops can only do so much, a well-planned faculty development program can provide a great introduction to AI, alleviate fears, and inspire participants to keep growing and learning. Drawing on our experience designing and hosting the AAMC GEA AI Skill-Building Webinar Series and the current literature in AI, this article offers twelve practical tips for faculty developers who are creating AI-focused learning opportunities for everyone involved in HPE. These tips will help readers create robust AI skill-building sessions that move participants beyond awareness of AI and shift their perspectives toward applied, reflective, and responsible use of AI in HPE.

MedEdPublishVol. 16
Brigham Young University (US), Mayo Clinic (US), Wayne State University (US), Wright State University (US), Southern Illinois University School of Medicine (US), Mayo Clinic in Arizona (US), Institute for Behavioral Medicine (US), Mayo Clinic in Florida (US), Rush University (US), The Ohio State University (US), Michigan State University (US)
Openalex Percentile: Top 18%
Artificial Intelligence in Healthcare and Education
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