ORCID
- Shang-Ming Zhou: 0000-0002-0719-9353
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.
DOI Link
Publication Date
2025-07-21
Publication Title
Artificial Intelligence in Education - 26th International Conference, AIED 2025, Proceedings: AIED 2025. Lecture Notes in Computer Science
Volume
15881
ISBN
9783031984617, 978-3-031-98462-4
ISSN
0302-9743
Acceptance Date
2025-04-21
Deposit Date
2025-07-22
Funding
This research is supported by the Ministry of Education, Singapore (Grant IDs: RG22/23, LKCMedicine Start up Grant).
Keywords
AI competency for medical professionals, AI competency framework, AI education, AI literacy, Medical education
Recommended Citation
Cai, C., Duell, J., Chen, D., Ho, W., Lee, B., Li, F., Liu, S., Ng, O., Sudarshan, V., Zhou, S., Zhu, G., & Fan, X. (2025) 'Advancing AI Literacy in Medical Education: A Medical AI Competency Framework Development', Artificial Intelligence in Education - 26th International Conference, AIED 2025, Proceedings: AIED 2025. Lecture Notes in Computer Science, 15881. Available at: 10.1007/978-3-031-98462-4_15
