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<p>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.</p>

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Integrating AI Literacy into Medical Education: Preparing Future Clinicians for an AI-Driven Healthcare System

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月5日

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  • Linda Chang,
  • Radhika Sreedhar

摘要

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.