医学教师的人工智能素养专家共识(2025年版)OA

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.