人工智能时代医学人文教育的机遇挑战与融合路径

doi:10.3760/cma.j.cn115259-20250707-00751

中华医学教育杂志 ›› 2026, Vol. 46 ›› Issue (4): 241-246.DOI: 10.3760/cma.j.cn115259-20250707-00751

• 人文素质教育 • 下一篇

人工智能时代医学人文教育的机遇挑战与融合路径

张昆松¹, 张俊隆², 冯劭婷³, 陈崴⁴, 匡铭¹, 肖海鹏⁵

¹中山大学附属第一医院肝胆胰外科中心,广州 510080;
²中山大学附属第一医院泌尿外科,广州 510080;
³中山大学附属第一医院教育处,广州 510080;
⁴中山大学附属第一医院肾内科,广州 510080;
⁵中山大学附属第一医院内分泌科,广州 510080

收稿日期:2025-07-07 出版日期:2026-04-01 发布日期:2026-03-27
通讯作者: 肖海鹏, Email: xiaohp@mail.sysu.edu.cn

Opportunities, challenges and integration paths of medical humanities education in the AI era

Zhang Kunsong¹, Zhang Junlong², Feng Shaoting³, Chen Wei⁴, Kuang Ming¹, Xiao Haipeng⁵

¹Department of Center of Hepato-Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China;
²Department of Urology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China;
³Department of Medical Education, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China;
⁴Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China;
⁵Department of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China

Received:2025-07-07 Online:2026-04-01 Published:2026-03-27
Contact: Xiao Haipeng, Email: xiaohp@mail.sysu.edu.cn

摘要/Abstract

摘要： 人工智能(artificial intelligence,AI)技术在医学领域的广泛应用,正重塑着医学边界。AI技术不仅显著提升了医疗服务的效率和诊断决策的精准性,也为医学人文教育的场景化教学、实践化发展、精准化评估带来新机遇。同时,AI技术本身的局限性和医生过度依赖等原因,也导致了医生综合能力弱化、医患信任危机和医疗责任界定困难等问题,这使医学人文教育面临新挑战。近年来,中山大学附属第一医院通过顶层设计、全周期融合式人文教育课程体系重构、“跨学科和复合型”AI⁺师资队伍建设、多元评价体系建立和院企协同创新等多方面举措,将AI技术与医学人文教育充分融合,在保持医学人文教育核心地位的同时,充分运用AI技术赋能,培养兼具临床胜任力与医学人文精神的复合型医学人才,为健康中国战略下的医学人文教育改革提供参考。

关键词: 人工智能, 医学人文教育, 机遇与挑战, 跨学科和复合型教师, 融合路径

Abstract: The wide application of artificial intelligence (AI) technology in the medical field is reshaping the boundaries of medicine. AI technology not only significantly improves the efficiency of medical services and the accuracy of diagnostic decisions, but also brings new opportunities for scenario-based teaching, practice-oriented development, and precision assessment in medical humanities education. At the same time, due to the inherent limitations of AI technology itself and the excessive reliance on it by doctors, problems such as the weakening of doctors′ comprehensive capabilities, the crisis of physician-patient trust, and the difficulty in defining medical responsibilities have arisen, putting medical humanities education face to face with new challenges. In recent years, The First Affiliated Hospital of Sun Yat-sen University has fully integrated AI technology with medical humanities education through various initiatives, including top-level design, the reconstruction of a full-cycle integrated humanities education curriculum system, the construction of an interdisciplinary and composite ″AI⁺″ faculty team, the establishment of a diversified evaluation system, and hospital-industry collaborative innovation. While maintaining the core position of medical humanities education, the hospital has fully leveraged AI technology for empowerment, aiming to cultivate composite medical professionals with both clinical competence and medical humanistic spirit, and provide references for the reform of medical humanities education under the Healthy China strategy.

Key words: Artificial intelligence, Medical humanities education, Opportunities and challenges, Interdisciplinary and composite teaching faculty, Integration paths

中图分类号:

张昆松, 张俊隆, 冯劭婷, 陈崴, 匡铭, 肖海鹏. 人工智能时代医学人文教育的机遇挑战与融合路径[J]. 中华医学教育杂志, 2026, 46(4): 241-246.

Zhang Kunsong, Zhang Junlong, Feng Shaoting, Chen Wei, Kuang Ming, Xiao Haipeng. Opportunities, challenges and integration paths of medical humanities education in the AI era[J]. Chinese Journal of Medical Education, 2026, 46(4): 241-246.

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人工智能时代医学人文教育的机遇挑战与融合路径

Opportunities, challenges and integration paths of medical humanities education in the AI era

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