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The integration of Artificial Intelligence (AI) into healthcare underscores the need for medical professionals to develop AI competencies. While the UNESCO AI competency framework provides general guidelines, it is broad and lacks the specificity required for medical education. This study proposed and validated an AI competency framework tailored for medical professionals, integrating UNESCO’s AI framework with Miller’s pyramid model. The preliminary framework was refined based on expert feedback from six hospital administrators, eight medical professionals, and ten university instructors. This study presents an AI competency framework for medical professionals, laying the groundwork for future curricula development. It offers insights and evidence to guide medical professionals’ AI competency development.

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Advancing AI Literacy in Medical Education: A Medical AI Competency Framework Development

  • 会议论文

  • 发表日期：

    2025年

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  • Chang Cai,
  • Jamie Duell,
  • Daisy Minghui Chen,
  • Weng Kin Ho,
  • Bernett Teck Kwong Lee,
  • Fang Li,
  • Siyuan Liu,
  • Olivia Ng,
  • Vidya Sudarshan,
  • Shang-Ming Zhou,
  • Gaoxia Zhu,
  • Xiuyi Fan

摘要

The integration of Artificial Intelligence (AI) into healthcare underscores the need for medical professionals to develop AI competencies. While the UNESCO AI competency framework provides general guidelines, it is broad and lacks the specificity required for medical education. This study proposed and validated an AI competency framework tailored for medical professionals, integrating UNESCO’s AI framework with Miller’s pyramid model. The preliminary framework was refined based on expert feedback from six hospital administrators, eight medical professionals, and ten university instructors. This study presents an AI competency framework for medical professionals, laying the groundwork for future curricula development. It offers insights and evidence to guide medical professionals’ AI competency development.