人工智能在医学教育中的应用

数字赋能的医学教育创新模式探析

  • 徐晓巍 ,
  • 唐琳 ,
  • 归航 ,
  • 马超 ,
  • 李姣 ,
  • 王辰
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  • 1中国医学科学院医学信息研究所,北京 100020;
    2北京协和医学院医学教育研究中心,北京 100730;
    3中国医学科学院北京协和医学院,北京 100730

收稿日期: 2024-12-15

  网络出版日期: 2025-03-04

基金资助

中国医学科学院医学与健康科技创新工程项目(2021-I2M-1-056);北京协和医学院2024年青年医学教育骨干培训项目(2024MESP011)

Research on the innovative model of digital empowerment in medical education

  • Xu Xiaowei ,
  • Tang Lin ,
  • Gui Hang ,
  • Ma Chao ,
  • Li Jiao ,
  • Wang Chen
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  • 1Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China;
    2Center for Medical Education Research, Peking Union Medical College, Beijing 100730, China;
    3Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China

Received date: 2024-12-15

  Online published: 2025-03-04

Supported by

Medical and Health Science and Technology Innovation Project of Chinese Academy of Medical Sciences (2021-I2M-1-056); 2024 Youth Medical Education Scholars Program of Peking Union Medical College (2024MESP011)

摘要

数字技术赋能下的医学教育模式可以有效推动教学资源优化重构、知识体系重塑以及智能化教学模式发展,以培养适应新时代需求的医学人才。 本研究通过文献综述与实践案例分析,探究数字技术在国内外医学教育中的应用现状与发展趋势,重点考察基于人工智能、大数据、虚拟现实和知识图谱的数字技术支持下的医学教育模式,并提出数字赋能医学教育的具体实施路径。研究提出了一套面向数字赋能医学教育的创新框架,具体包括:①“教师-学生-知识-空间”关系的数字教育创新模式;②多层次、多模态的医学知识图谱构建;③智能化教学平台研发,实现教学模式与流程再造;④数字孪生技术形成虚实结合的新型教学模式应用;⑤基于胜任力导向的数字化临床教育模式探索,全面提升教学质量与学习效果。未来应当进一步加强顶层设计与多技术融合,构建医教产研协同发展的数字化医学教育体系,为健康中国战略的实施提供有力支持。

本文引用格式

徐晓巍 , 唐琳 , 归航 , 马超 , 李姣 , 王辰 . 数字赋能的医学教育创新模式探析[J]. 中华医学教育杂志, 2025 , 45(3) : 161 -166 . DOI: 10.3760/cma.j.cn115259-20241215-01310

Abstract

The medical education model empowered by digital technologies can effectively promote the optimization and restructuring of teaching resources, the reshaping of knowledge systems, and the development of intelligent teaching modes, all aimed at cultivating medical professionals who can meet the demands of the new era. This study, through a literature review and case analysis, investigates the current application and development trends of digital technologies in medical education both domestically and internationally. It focuses on medical education models supported by digital technologies such as artificial intelligence, big data, virtual reality, and knowledge graphs, and proposes specific implementation pathways for digital empowerment in medical education. The study presents an innovative framework for digital empowerment in medical education, which includes the following components: (1) The digital education innovation model based on the ″Teacher-Student-Knowledge-Space″ relationship; (2)Construction of a multi-level, multi-modal medical knowledge graph; (3)Development of intelligent teaching platforms to reconstruct teaching modes and processes; (4)Application of digital twin technology to form a new educational model that integrates virtual and physical elements; (5)Exploration of a competency-oriented digital clinical education model to comprehensively improve teaching quality and learning outcomes. In the future, it is essential to further strengthen top-level design and the integration of multiple technologies, to construct a digital medical education system that fosters the collaborative development of medicine, education, industry, and research, thereby providing strong support for the implementation of the Healthy China strategy.

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