人工智能赋能医学职业素养教育的内涵、实践和挑战

陈韶华; 经湛; 陈俊妍

doi:10.3760/cma.j.cn116021-20260206-02297

您当前的位置：

首页 >

文章列表页 >

人工智能赋能医学职业素养教育的内涵、实践和挑战

数智医学教育 | 更新时间：2026-06-17

- 人工智能赋能医学职业素养教育的内涵、实践和挑战
- Connotations, practices, and challenges of artificial intelligence-empowered medical professionalism education
- 中华医学教育探索杂志 2026年25卷第6期页码：651-656
- 作者机构：
  
  1.浙江大学医学院附属第一医院教学部，杭州 310003
  2.浙江大学医学院附属第一医院消化内科，杭州 310003
- 作者简介：
  
  陈韶华，Email：chenshaohua@zju.edu.cn
- 基金信息：
  
  2025年浙江省本科省级教学改革项目(JGCG2025034)
- DOI：10.3760/cma.j.cn116021-20260206-02297
  中图分类号： R-05
- 收稿：2026-02-06，
  
  纸质出版：2026-06-20
- 稿件说明：
移动端阅览
陈韶华, 经湛, 陈俊妍. 人工智能赋能医学职业素养教育的内涵、实践和挑战[J]. 中华医学教育探索杂志, 2026, 25(6): 651-656.

Chen Shaohua, Jing Zhan, Chen Junyan. Connotations, practices, and challenges of artificial intelligence-empowered medical professionalism education[J]. Chinese Journal of Medical Education Research, 2026, 25(6): 651-656.
陈韶华, 经湛, 陈俊妍. 人工智能赋能医学职业素养教育的内涵、实践和挑战[J]. 中华医学教育探索杂志, 2026, 25(6): 651-656. DOI： 10.3760/cma.j.cn116021-20260206-02297.

Chen Shaohua, Jing Zhan, Chen Junyan. Connotations, practices, and challenges of artificial intelligence-empowered medical professionalism education[J]. Chinese Journal of Medical Education Research, 2026, 25(6): 651-656. DOI： 10.3760/cma.j.cn116021-20260206-02297.

摘要

在数字化转型与第四代医学教育改革背景下，人工智能正深度融入医学教育过程，对医学职业素养教育提出新的理论命题与实践挑战。本文为理论探讨综述，围绕“内涵辨析—实践路径—困境挑战—未来路径”构建分析框架。立足医学职业素养教育的价值根基，系统梳理人工智能背景下医学职业素养教育内涵，从实践情境重构、临床思维培养与评价机制革新3个维度，剖析人工智能赋能医学职业素养教育的实践路径，进而聚焦人文理性、技术权威与健康公平3个挑战，并提出医学职业素养教育的未来路径。本文旨在为人工智能时代医学职业素养教育的理论深化与实践改革提供参考。

Abstract

In the context of digital transformation and the fourth-generation medical education reform

artificial intelligence (AI) is being deeply integrated into the medical education process

posing new theoretical propositions and practical challenges to medical professionalism education. In this theoretical review

an analytical framework is structured in four dimensions: connotation analysis

practice pathways

dilemmas and challenges

and future directions. Grounded in the value basis of medical professionalism education

it systematically examines the connotation of medical professionalism education in the era of AI. From the three perspectives of practice scenario reconstruction

clinical reasoning cultivation

and evaluation mechanism innovation

it analyzes the practical pathways through which AI empowers medical professionalism education. Furthermore

focusing on the three major challenges of humanistic rationality

technological authority

and health equity

it proposes future pathways for medical professionalism education. This article aims to provide a reference for the theoretical advancement and practical reform of medical professionalism education in the age of AI.

关键词

Keywords

references

国务院办公厅 . 关于医学教育创新发展的指导意见 [EB/OL ] .（ 2020-09-23 ）[ 2025-12-30 ] . https://www.gov.cn/zhengce/zhengceku/2020-09/23/content_5546373.htm ivksa=1023197a https://www.gov.cn/zhengce/zhengceku/2020-09/23/content_5546373.htmivksa=1023197a .

国家卫生健康委办公厅等 . 关于印发医学人文关怀提升行动方案（ 2024 — 2027 年）的通知[EB/OL ] .（ 2024-09-29 ）[ 2025-12-30 ] . https://www.gov.cn/zhengce/zhengceku/202410/content_6979036.htm https://www.gov.cn/zhengce/zhengceku/202410/content_6979036.htm .

教育部，国家发展改革委，工业和信息化部，等 . 教育部等五部门关于印发《“人工智能+教育”行动计划》的通知 [EB/OL ] .（ 2026-04-02 ）[ 2026-04-29 ] . https://www.gov.cn/zhengce/zhengceku/202604/content_7065138.htm https://www.gov.cn/zhengce/zhengceku/202604/content_7065138.htm .

Passi V , Doug M , Peile E , et al . Developing medical professionalism in future doctors: a systematic review [J ] . Int J Med Educ , 2010 , 1 : 19 - 29 . DOI: 10.5116/ijme.4bda.ca2a http://dx.doi.org/10.5116/ijme.4bda.ca2a .

苏文航，陈韶华 . 医学职业素养教育模式及其评价体系现状分析 [J ] . 医学与社会， 2024 ， 37 （ 9 ）： 108 - 114 . DOI: 10.13723/j.yxysh.2024.09.016 http://dx.doi.org/10.13723/j.yxysh.2024.09.016 .

李鸿鹤，李颖，闻德亮 . 新时代医师职业精神的内涵与发展 [J ] . 中华医学教育探索杂志， 2021 ， 20 （ 12 ）： 1365 - 1370 . DOI: 10.3760/cma.j.cn116021-20211108-00688 http://dx.doi.org/10.3760/cma.j.cn116021-20211108-00688 .

Su W , Zhang S , Chen S . Prospects for the development of medical professionalism education in the AI perspective: a qualitative study of Chinese postgraduate medical students' written reflections [J ] . Med Teach , 2025 , 47 ( 9 ): 1535 - 1543 . DOI: 10.1080/0142159X.2024.2445056 http://dx.doi.org/10.1080/0142159X.2024.2445056 .

王权，陈蓬来，林毓，等 . 基于胜任力的i-FIRST人才培养：数智化 [J ] . 中国高等医学教育， 2025 （ 1 ）： 16 - 19 . DOI: 10.3969/j.issn.1002-1701.2025.01.005 http://dx.doi.org/10.3969/j.issn.1002-1701.2025.01.005 .

Abd-alrazaq A , AlSaad R , Alhuwail D , et al . Large language models in medical education: opportunities, challenges, and future directions [J ] . JMIR Med Educ , 2023 , 9 : e48291 . DOI: 10.2196/48291 http://dx.doi.org/10.2196/48291 .

Ma H , Law EL , Sun X , et al . Towards empathic medical conversation in narrative medicine: a visualization approach based on intelligence augmentation [J ] . Int J Hum Comput Stud , 2025 , 199 : 103506 . DOI: 10.1016/j.ijhcs.2025.103506 http://dx.doi.org/10.1016/j.ijhcs.2025.103506 .

Gordon M , Daniel M , Ajiboye A , et al . A scoping review of artificial intelligence in medical education: BEME Guide No. 84 [J ] . Med Teach , 2024 , 46 ( 4 ): 446 - 470 . DOI: 10.1080/0142159X.2024.2314198 http://dx.doi.org/10.1080/0142159X.2024.2314198 .

de Miguel I , Sanz B , Lazcoz G . Machine learning in the EU health care context: exploring the ethical, legal and social issues [J ] . Inf Commun Soc , 2020 , 23 ( 8 ): 1139 - 1153 . DOI: 10.1080/1369118X.2020.1719185 http://dx.doi.org/10.1080/1369118X.2020.1719185 .

Tu T , Schaekermann M , Palepu A , et al . Towards conversational diagnostic artificial intelligence [J ] . Nature , 2025 , 642 ( 8067 ): 442 - 450 . DOI: 10.1038/s41586-025-08866-7 http://dx.doi.org/10.1038/s41586-025-08866-7 .

Mirchi N , Bissonnette V , Yilmaz R , et al . The virtual operative assistant: an explainable artificial intelligence tool for simulation-based training in surgery and medicine [J ] . PLoS One , 2020 , 15 ( 2 ): e0229596 . DOI: 10.1371/journal.pone.0229596 http://dx.doi.org/10.1371/journal.pone.0229596 .

Zhang W , Cai M , Lee HJ , et al . AI in medical education: global situation, effects and challenges [J ] . Educ Inf Technol , 2024 , 29 ( 4 ): 4611 - 4633 . DOI: 10.1007/s10639-023-12009-8 http://dx.doi.org/10.1007/s10639-023-12009-8 .

秦春华 . 充分发挥教育评价在教育强国建设中的枢纽作用 [J ] . 华东师范大学学报（教育科学版）， 2025 ， 43 （ 9 ）： 40 - 53 . DOI: 10.16382/j.cnki.1000-5560.2025.09.004 http://dx.doi.org/10.16382/j.cnki.1000-5560.2025.09.004 .

徐英瑾，马赛知远 . 算法迷恋症：形式主义宰制及其德性出路 [J ] . 探索与争鸣， 2025 （ 7 ）： 147 - 155， 180 .

Zhang S , Zhao X , Zhou T , et al . Do you have AI dependency? The roles of academic self-efficacy, academic stress, and performance expectations on problematic AI usage behavior [J ] . Int J Educ Technol High Educ , 2024 , 21 ( 1 ): 34 . DOI: 10.1186/s41239-024-00467-0 http://dx.doi.org/10.1186/s41239-024-00467-0 .

汪丽聪，孙晓琪，荣振华，等 . 基于斯蒂格勒技术思想的医学教师数智素养培育研究 [J ] . 医学与哲学， 2025 ， 46 （ 2 ）： 63 - 67 . DOI: 10.12014/j.issn.1002-0772.2025.02.13 http://dx.doi.org/10.12014/j.issn.1002-0772.2025.02.13 .

Koplan JP , Bond TC , Merson MH , et al . Towards a common definition of global health [J ] . Lancet , 2009 , 373 ( 9679 ): 1993 - 1995 . DOI: 10.1016/S0140-6736(09)60332-9 http://dx.doi.org/10.1016/S0140-6736(09)60332-9 .

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于放射学历史题库数据分析的人工智能试题生成及考核效果评价

医务人员国内外场景下AI工具应用差异及启示

AI与教师在医学呼吸系统试题解析撰写中的优劣势比较

医学教学对象人工智能使用现状及伦理认知调查研究

案例工作坊联合可视化思维导图在神经外科监护室护士规范化培训中的应用研究