中国医学科学院学报2026，Vol.48Issue(1)：13-23,11.DOI:10.3881/j.issn.1000-503X.17210
医学生人工智能素养能力清单与测评框架专家共识(2025年版)
Expert Consensus on the Artificial Intelligence Proficiency Competency List and Assessment Framework for Medical Students(2025 Edition)
摘要
Abstract
To cultivate composite medical professionals capable of adapting to the development of intel-ligent healthcare,this consensus is grounded in the competency-based medical education,integrating the compe-tency model and Miller's pyramid of clinical competence.A two-round Delphi method involving a multidiscipli-nary expert panel was conducted,combined with a systematic literature review,to develop a 21-indicator artifi-cial intelligence(AI)literacy competency list for medical students across three domains:knowledge(8 indica-tors),skills(8 indicators),and attitudes(5 indicators).Furthermore,the consensus proposes a practical assessment system:standardized testing for the knowledge domain,situational judgment tests for the attitudes domain,and objective structured clinical examinations incorporating AI-related scenarios for the skills domain.In addition,a longitudinal assessment strategy spanning the phases of admission,preclinical training,and clini-cal training is recommended.The competency list and assessment framework established in this consensus demon-strate strong scientific rigor,authority,and practical applicability,and can serve as an important reference for medical schools seeking to advance the deep integration of AI and medical education and to cultivate composite medical talents suited to the era of intelligent healthcare.关键词
人工智能/临床胜任力/医学教育/医学生/人工智能素养Key words
artificial intelligence/clinical competence/medical education/medical students/artificial intelligence proficiency分类
社会科学引用本文复制引用
弓孟春,张博,张博涵,曾志嵘,吉训明,潘慧,刘辉,佟矿,李姣,马永慧,陈崴,侯艳,洪莉..医学生人工智能素养能力清单与测评框架专家共识(2025年版)[J].中国医学科学院学报,2026,48(1):13-23,11.基金项目
2024年广东省教育科学规划课题(高等教育专项)(2024GXJK136)和广东省高等教育学会、广东南博教育研究院2024年度高等教育研究专项(24GNZD1) （高等教育专项）
