中国精英教学医院联盟医学教师数智胜任力框架共识

中国精英教学医院联盟; 实践指南注册：国际实践指南注册平台（PREPARE-2026CN601）

doi:10.3760/cma.j.cn116021-20260406-02299

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中国精英教学医院联盟医学教师数智胜任力框架共识

数智医学教育 | 更新时间：2026-06-17

- 中国精英教学医院联盟医学教师数智胜任力框架共识
- Consensus on the digital intelligence competency framework for medical teachers by the China Consortium of Elite Teaching Hospitals
- 中华医学教育探索杂志 2026年25卷第6期页码：641-650
- 作者机构：
- 作者简介：
- 基金信息：
  
  中国精英教学医院联盟“未来医学教育引领计划”项目(CCETH-PP1.0-2025-01)
- DOI：10.3760/cma.j.cn116021-20260406-02299
  中图分类号： R-05;G649.21
- 收稿：2026-04-06，
  
  纸质出版：2026-06-20
- 稿件说明：
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. 中国精英教学医院联盟医学教师数智胜任力框架共识[J]. 中华医学教育探索杂志, 2026, 25(6): 641-650.

China Consortium of Elite Teaching Hospitals, Practice guideline registration: International Practice Guideline Registration Platform (PREPARE-2026CN601). Consensus on the digital intelligence competency framework for medical teachers by the China Consortium of Elite Teaching Hospitals[J]. Chinese Journal of Medical Education Research, 2026, 25(6): 641-650.
. 中国精英教学医院联盟医学教师数智胜任力框架共识[J]. 中华医学教育探索杂志, 2026, 25(6): 641-650. DOI： 10.3760/cma.j.cn116021-20260406-02299.

China Consortium of Elite Teaching Hospitals, Practice guideline registration: International Practice Guideline Registration Platform (PREPARE-2026CN601). Consensus on the digital intelligence competency framework for medical teachers by the China Consortium of Elite Teaching Hospitals[J]. Chinese Journal of Medical Education Research, 2026, 25(6): 641-650. DOI： 10.3760/cma.j.cn116021-20260406-02299.

摘要

随着生成式人工智能（generative AI，GenAI）技术引发的医学教育第四次技术革命在全球范围内快速推进，以胜任力为导向的医学教育迎来全新发展机遇与挑战，中国迫切需要制订符合本土医学教育场景的医学教师数智胜任力框架标准。为助力中国医学教育数字化转型与高质量发展，由中国精英教学医院联盟牵头，浙江大学医学院附属第一医院执行“未来医学教育引领计划”项目，组织医学教育专家、数智医学专家、人工智能技术专家、教学管理者及临床一线师资，基于调研数据与国内相关研究成果、医学教育实践经验，采用头脑风暴结合改良德尔菲法开展专家函询，经反复研讨、论证、修订，拟定了医学教师数智胜任力框架共识。本共识确定了医学教师应具备的5项核心胜任力：数智知识基础、数智应用技能、数智伦理与安全、数智教学整合、数智研究转化，每项核心胜任力下设具体的胜任力条目及说明，以阐释框架内涵。本共识可供全国各医学院校、住院医师规范化培训基地参考，为医学教师数智胜任力培养目标设置、培养方案制订、考核评估实施、师资培训强化及数智化教学资源开发提供重要依据与实践方向。

Abstract

As the fourth technological revolution in medical education

driven by generative artificial intelligence

rapidly advances globally

competency-based medical education is facing unprecedented opportunities and challenges for development. China urgently needs to formulate standards for a digital intelligence competency framework for medical teachers that aligns with local medical education scenarios. To facilitate the digital transformation and high-quality development of medical education in China

the "Future Medical Education Leadership Initiative" project

led by the China Consortium of Elite Teaching Hospitals and implemented by The First Affiliated Hospital

Zhejiang University School of Medicine

organized medical education experts

digital intelligence medicine experts

artificial intelligence technology experts

teaching administrators

and frontline clinical faculty. Based on survey data

relevant domestic research findings

and medical education practice experience

an expert consultation was conducted using brainstorming combined with a modified Delphi method. After repeated discussions

deliberations

and revisions

a consensus on the digital intelligence competency framework for medical teachers was formulated. This consensus identifies five core competencies that medical teachers should possess: digital intelligence knowledge foundation

digital intelligence application skills

digital intelligence ethics and security

digital intelligence teaching integration

and digital intelligence research translation. Each core competency is further detailed with specific competency items and explanations to elucidate the connotations of the framework. This consensus can serve as a reference for medical schools and standardized residency training bases nationwide

providing an important basis and practical directions for setting training objectives for the digital intelligence competency of medical teachers

formulating training programs

implementing assessments

strengthening faculty training

and developing digital intelligence teaching resources.

关键词

Keywords

references

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