中国医学科学院学报2026，Vol.48Issue(1)：1-12,12.DOI:10.3881/j.issn.1000-503X.17190
医学教师的人工智能素养专家共识(2025年版)
Expert Consensus on Artificial Intelligence Proficiency for Medical Educators(2025 Edition)
潘慧 1李航 2王卫 1罗妍 3张博涵 4吉训明 1弓孟春 4卢景辉 4曾志嵘 5陈崴 6吴昊 7罗力 8孙汶雯 1刘辉3
作者信息
- 1. 中国医学科学院北京协和医学院,北京 100730
- 2. 中国医学科学院北京协和医学院 北京协和医院,北京 100730
- 3. 中国医学科学院北京协和医学院 医学信息学研究所,北京 100020
- 4. 广东医科大学,广东 东莞 523808
- 5. 广东医科大学,广东 东莞 523808||韶关学院,广东 韶关 512005
- 6. 中山大学附属第一医院肾内科,广州 510080||国家卫生健康委员会肾脏病临床研究重点实验室 (中山大学)广东省肾脏病重点实验室,广州 510080
- 7. 重庆医科大学附属第一医院,重庆 400016
- 8. 复旦大学医学院公共卫生学院,上海 200032
- 折叠
摘要
Abstract
In response to the challenges posed by the profound integration of generative artificial intelli-gence(AI)into medical education,this consensus proposes a logically coherent,medically distinctive,for-ward-looking,and operable AI proficiency framework for medical educators(competency items of medical edu-cators'AI proficiency,CAIP-ME).Through systematic literature review,preliminary framework construction,multiple rounds of expert pre-study,and a structured Delphi method involving extensive consultations with 60 in-terdisciplinary experts,the core competency items and assessment standards for AI proficiency among medical ed-ucators were demonstrated and calibrated.The framework encompasses five core dimensions and 25 specific com-petency items.The five dimensions are value recognition and ethical foundation,technical understanding and tool application,teaching integration and innovative practice,learning assessment and precise empowerment,and professional development and ecosystem co-construction.Competency items are categorized into 11 foundational competency items essential for all educators and 14 developmental competency items for those pursuing excel-lence.Each competency item is described in terms of its conceptual definition and key behavioral manifestations,accompanied by observable assessment indicators.This consensus aims to provide a scientific basis for the profes-sional development of medical educators and the faculty building in medical institutions,while establishing a key reference standard for educator competency development in the context of digital transformation in medical education.关键词
医学教育/教师发展/人工智能素养/能力框架/专家共识Key words
medical education/educator development/artificial intelligence proficiency/competency framework/expert consensus分类
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潘慧,李航,王卫,罗妍,张博涵,吉训明,弓孟春,卢景辉,曾志嵘,陈崴,吴昊,罗力,孙汶雯,刘辉..医学教师的人工智能素养专家共识(2025年版)[J].中国医学科学院学报,2026,48(1):1-12,12.
