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

  • 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

Research output: Chapter in Book/Report/Conference proceedingConference proceedings published in a bookpeer-review

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Abstract

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.
Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 26th International Conference, AIED 2025, Proceedings
Subtitle of host publicationAIED 2025. Lecture Notes in Computer Science
Pages116–123
Number of pages8
Volume15881
ISBN (Electronic)978-3-031-98462-4
DOIs
Publication statusPublished - 21 Jul 2025

Publication series

NameLecture Notes in Computer Science
Volume15881 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • AI competency for medical professionals
  • AI competency framework
  • AI education
  • AI literacy
  • Medical education

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