Integrating AI Literacy into Medical Education: Preparing Future Clinicians for an AI-Driven Healthcare System
Abstract
The rapid integration of artificial intelligence (AI) into healthcare necessitates curricular reforms to prepare future providers. Despite AI in medicine training frameworks from NAM and WHO, most medical students receive minimal AI education. Our institution developed a phased, theory-driven AI in Medicine curriculum guided by connectivism and constructivism. Using stakeholder engagement, needs assessment of 529 students, and backward design, we integrated AI literacy into preclinical, clinical clerkships, and an elective course. This spiral curriculum reinforces application through case studies and hands-on activities, fostering clinical relevance. Our implementation offers a scalable model for integrating AI competencies within the health professions curriculum.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Explainable Artificial Intelligence (XAI)
Machine Learning in Healthcare
Publication details
- Journal / source
- Medical Science Educator
- Publisher
- Springer Science and Business Media LLC
- Volume
- 36
- Issue
- 1
- Pages
- 17–22
- Publication date
- 5 January 2026
- Language
- EN