生成式人工智能驱动医学教育数字化转型的挑战与实现路径

doi:10.3760/cma.j.cn115259-20241212-01292

中华医学教育杂志 ›› 2025, Vol. 45 ›› Issue (10): 754-759.DOI: 10.3760/cma.j.cn115259-20241212-01292

生成式人工智能驱动医学教育数字化转型的挑战与实现路径

张媛¹, 吴博涵², 唐彬², 李政林³, 易敏寒²

¹中南大学湘雅医院呼吸与危重症医学科国家老年疾病临床医学研究中心(湘雅医院),长沙 410008;
²中南大学生命科学学院生物医学信息学系,长沙 410013;
³福建师范大学教育学院教育学系,福州 350007

收稿日期:2024-12-12 发布日期:2025-09-28
通讯作者: 易敏寒, Email: minhan@csu.edu.cn
基金资助:
湖南省普通高等学校教学改革研究项目(HNJG-20230104);湖南省学位与研究生教学改革研究项目(2023JGYB026,2023JGYB016,2024JGYB042);中南大学教育教学改革研究项目(2024jy103)

Generative artificial intelligence driving the digital transformation of medical education: challenges and implementation pathways

Zhang Yuan¹, Wu Bohan², Tang Bin², Li Zhenglin³, Yi Minhan²

¹Department of Respiratory Medicine, Xiangya Hospital, Central South University & National Clinical Research Center for Geriatric Disorders, Changsha 410008, China;
²Department of Biomedical Informatics, School of Life Sciences, Central South University, Changsha 410013, China;
³Department of Education, College of Education, Fujian Normal University, Fuzhou 350007, China

Received:2024-12-12 Published:2025-09-28
Contact: Yi Minhan, Email: minhan@csu.edu.cn
Supported by:
The Hunan Provincial Education Reform Project (HNJG-20230104); the Hunan Provincial Degree & Postgraduate Education Reform Project (2023JGYB026, 2023JGYB016, 2024JGYB042); the Undergraduate Education Reform Project of Central South University (2024jy103)

摘要/Abstract

摘要： 生成式人工智能在处理高度抽象的医学概念、模拟临床医疗场景以及提供个性化的医学教学互动等方面为推进医学教育数字化转型带来了机遇。本文从医学教育数字化转型的现实需要出发,分析生成式人工智能应用于医学教育的机遇、风险与实现路径,提出了“素养—资源—教学—治理”四维实践路径,指出生成式AI赋能医学教育数字化转型必须始终遵循“医者本位”原则。

关键词: 教育,医学, 生成式人工智能, 教育数字化

Abstract: Generative AI brings opportunities for advancing the digital transformation of medical education in areas such as handling highly abstract medical concepts, simulating clinical scenarios, and providing personalized medical teaching interactions. This article, based on the practical needs of digital transformation in medical education, analyzes the opportunities, risks, and implementation pathways of applying generative AI in medical education. It proposes a four-dimensional practical framework of ″literacy-resources-teaching-governance″ and emphasizes that the digital transformation of medical education empowered by generative AI must always adhere to the principle of ″physician-centeredness.″

Key words: Education, medicine, Generative AI, Digital transformation of education

中图分类号:

R-05

张媛, 吴博涵, 唐彬, 李政林, 易敏寒. 生成式人工智能驱动医学教育数字化转型的挑战与实现路径[J]. 中华医学教育杂志, 2025, 45(10): 754-759.

Zhang Yuan, Wu Bohan, Tang Bin, Li Zhenglin, Yi Minhan. Generative artificial intelligence driving the digital transformation of medical education: challenges and implementation pathways[J]. Chinese Journal of Medical Education, 2025, 45(10): 754-759.

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生成式人工智能驱动医学教育数字化转型的挑战与实现路径

Generative artificial intelligence driving the digital transformation of medical education: challenges and implementation pathways

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