中国医学教育技术2025，Vol.39Issue(6)：694-697,704,5.DOI:10.13566/j.cnki.cmet.cn61-1317/g4.202506002
AI赋能的循证决策培训:内科规培智能化路径探索
AI-empowered evidence-based decision-making training:Exploring the intelligent path to internal medicine residency training
张绍衡 1李晓丹 2谢玥 1孙美玲 1靳丹丹 1吴锦珍 1青青 3王新颖1
作者信息
- 1. 南方医科大学珠江医院消化内科,广州 510282
- 2. 南方医科大学第二临床医学院内科教研室,广州 510282
- 3. 广州医科大学附属第三医院消化内科,广州 510150
- 折叠
摘要
Abstract
The application of artificial intelligence(AI)technology in evidence-based decision support has extended from diagnostic assistance to the field of teaching innovation.Integrating AI tech-nology into evidence-based decision-making training for the standardized training of resident physi-cians may enhance their proficiency in utilizing AI tools and improve their data literacy,thereby reduc-ing the complexity of evidence-based application.This study aims to explore the intelligent transforma-tion pathway for evidence-based decision-making training.By comparing it with conventional training modes,the study systematically analyzes the necessity,required software and hardware configura-tions,instructor qualifications,teaching modes and content,as well as evaluation systems for AI-empowered evidence-based decision-making training.Additionally,existing examples of AI-empowered training are reviewed and critically analyzed.Studies indicate that AI-empowered training can facilitate the development of clinical thinking and decision-making skills among resident physi-cians,effectively enhancing their competency in evidence-based medicine.关键词
住院医师规范化培训/循证决策/人工智能/教学模式/评价体系Key words
standardized training for resident physicians/evidence-based decision-making/artificial intelligence/teaching mode/evaluation system分类
社会科学引用本文复制引用
张绍衡,李晓丹,谢玥,孙美玲,靳丹丹,吴锦珍,青青,王新颖..AI赋能的循证决策培训:内科规培智能化路径探索[J].中国医学教育技术,2025,39(6):694-697,704,5.
