From Curiosity To Competence: A Structured Faculty Development Model for AI Integration in Health Professions Education

从好奇心到能力:人工智能融入健康专业教育的结构化教师发展模式

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Abstract

Faculty development (FD) in artificial intelligence (AI) for health professions education (HPE) faces urgent yet complex demands. Despite promising applications, the field lacks instructional models, progression pathways, and evaluation frameworks. We designed and implemented a six-week online elective, Applications of AI in HPE, within the Johns Hopkins MEHP program. Grounded in an AI Competency Framework, the course supported responsible GenAI integration through structured real-life tasks, prompt engineering, and ethical reflection. Participants valued the pedagogy-first design, frameworks like BUILDS for custom GPT creation, transparency, and practical relevance. Our innovation contributes to global efforts in building AI capacity in HPE while preserving academic rigor, integrity, and cognitive skills. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40670-025-02573-8.

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