摘要
循证医学是现代临床研究的方法学,对于指导临床实践发挥重要作用,已逐渐成为医学高等院校的核心课程之一。在信息时代数智化背景下,循证医学为应对研究问题、数据方法和研究证据多样化等多重挑战,逐渐形成了基于多模态数据,利用人工智能方法等医工结合的创新研究模式。但当前医学院校的教学内容与学科日新月异的变革相互割裂,阻碍了医学生对学科知识体系、前沿理论和发展方向的全面认知。对此,本文以我校研究生课程改革为契机,在原有循证医学课程设置中加入真实世界数据研究、人工智能和生物信息等内容,对信息时代下循证医学课程改革进行初步探索。力图让学生能够真正理解循证医学对医学发展的作用和价值,同时具备坚实的理论基础、开阔的国际视野和敏锐的科研触角,为循证医学学科发展储备人才。
Evidence-based medicine is the methodology of modern clinical research and plays an important role in guiding clinical practice.It has become an integral part of medical education.In the digital age,evidence-based medicine has evolved to incorporate innovative research models that utilize multimodal clinical big data and artificial intelligence methods.These advancements aim to address the challenges posed by diverse research questions,data methods,and evidence sources.However,the current teaching content in medical schools often fails to keep pace with the rapidly evolving disciplines,impeding students'comprehensive understanding of the discipline's knowledge system,cutting-edge theories,and development directions.In this regard,this article takes the opportunity of graduate curriculum reform to incorporate real-world data research,artificial intelligence,and bioinformatics into the existing evidence-based medicine curriculum,and explores the reform of evidence-based medicine teaching in the information age.The aim is to enable students to truly understand the role and value of evidence-based medicine in the development of medicine,while possessing a solid theoretical foundation,a broad international perspective,and a keen research sense,in order to cultivate talents for the development of the evidence-based medicine discipline.
作者
徐嘉悦
王雨宁
孙鑫
王雯
XU Jiayue;WANG Yuning;SUN Xin;WANG Wen(Chinese Evidence-based Medicine Center,West China Hospital,Sichuan University,Chengdu 610041,P.R.China;NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan,Chengdu 610041,P.R.China;Sichuan Center of Technology Innovation for Real World Data,Chengdu 610041,P.R.China;West China School of Public Health,Sichuan University,Chengdu 610041,P.R.China)
出处
《中国循证医学杂志》
CSCD
北大核心
2024年第5期612-616,共5页
Chinese Journal of Evidence-based Medicine
基金
四川大学华西医院学科卓越发展1·3·5工程项目(编号:ZYGD23004)。
关键词
循证医学
教学改革
多学科交叉
真实世界数据
人工智能
生物信息
Evidence-based medicine
Course reform
Interdisciplinarity
Real-world data
Artificial intelligence
Bioinformatics