摘要
在健康中国战略与人工智能发展的双重驱动下,医学教育正面临培养创新型跨学科人才的时代要求。本研究构建了“学科融合+项目驱动”的医学人才培养新模式,系统探索了学科融合型师资队伍建设,创新性设计了项目实施流程和多维成效评价体系,形成了一套可推广的培育策略与实践方法,并通过为期三年的探索和实践验证了其有效性。该模式的创新实践为培养适应智慧医疗发展需求的高素质复合型医学人才提供了有价值的参考。
Healthy China strategy and the development of artificial intelligence provide impetus for medical education reform and the culti-vation of innovative interdisciplinary talents.This study constructed a new“disciplinary integration+project-driven”model for medical tal-ent cultivation,systematically explored the construction of a multi-disciplinary teaching staff,and innovatively designed the project imple-mentation process and a multi-dimensional effectiveness evaluation system.The authors finally established a set of cultivation strategies and practical methods with wide applicability,and the effectiveness has been verified through three-year exploration and practice.The model aims to cultivate high-quality interdisciplinary medical professionals who can meet the development needs of intelligent healthcare.
作者
郑红
孙晓娟
李会敏
谢龙祥
王艳鸽
张璐
冯晓
王强
韩亚莉
闫中义
张国森
ZHENG Hong;SUN Xiaojuan;LI Huimin;XIE Longxiang;WANG Yange;ZHANG Lu;FENG Xiao;WANG Qiang;HAN Yali;YAN Zhongyi;ZHANG Guosen(Department of Physiology and Pathophysiology,School of Basic Medicine Sciences,Henan University,Kaifeng 475001,China;Department of Human Anatomy and Embryology,School of Basic Medicine Sciences,Henan Uni-versity;Department of Pathology,School of Basic Medicine Sciences,Henan University;Department of Cell Biology and Genetics,School of Basic Medicine Sciences,Henan University;Department of Public Health and Epidemiology,School of Basic Medicine Sci-ences,Henan University;Department of Clinical Medicine,HuaiHe Clinical Institute,Henan University;Department of Software Engineering,School of Software,Henan University)
出处
《基础医学教育》
2025年第8期799-802,共4页
Basic Medical Education
基金
河南省医学教育研究基金资助项目(WJLX2023095,WJLX2023100)
河南大学本科教学改革研究与实践基金资助项目(HDXJJG2023-111,HDXJJG2023-112)
河南大学研究生教育教学改革研究与实践基金资助项目(YJSJG2023XJ086)。
关键词
医学教育
学科融合
人工智能
项目驱动
人才培养
medical education
disciplinary integration
artificial intelligence
project-driven
talent cultivation
