中国医学教育技术2026，Vol.40Issue(4)：436-441,6.DOI:10.13566/j.cnki.cmet.cn61-1317/g4.202604002
GAI问诊模型在诊断学教学中的实践探索与效果分析
Practice exploration and effectiveness analysis of GAI consultation models in Diagnostics teaching
摘要
Abstract
This study aimed to evaluate the feasibility and effectiveness of replacing traditional bedside teaching(based on ward patients)with a generative artificial intelligence consultation model in Diagnostics education.A total of 73 medical students enrolled in the"3+2"assistant general practitio-ner standardized training program from the class of 2023 and 2024 at Capital Medical University Yanq-ing Teaching Hospital were selected.Students from the class of 2023 and group A of the class of 2024(n=38)served as the control group,while groups B and C of the class of 2024(n=35)constituted the experimental group.The experimental group received consultation training using a GAI(generative ar-tificial intelligence)consultation model based on Claude 2,whereas the control group underwent tradi-tional bedside teaching with ward patients.Teaching outcomes were assessed through both teachers'evaluation and students'self-evaluation.Teachers'evaluation demonstrated that the experimental group outperformed the control group in consultation procedure[(91.40±2.89)vs.(89.34±4.12)]and history-taking[(91.31±2.35)vs.(88.55±3.45)],with both differences reaching statistical significance(both P<0.05).A between-group difference was also observed in clinical reasoning[(90.34±2.21)vs.(89.29±3.30),P=0.048].Notably,the most pronounced improvement in the experimental group was found in humanistic care[(97.86±1.46)vs.(93.71±2.88),P<0.001].However,students'self-evaluation revealed no statistically significant differences between the two groups in terms of profes-sional knowledge mastery,clinical reasoning ability,or doctor-patient communication skills(all P>0.05).According to the results,the GAI consultation model based on Claude 2 effectively improved students'performance in consultation procedure standardization,history-taking completeness,and hu-manistic care practice,while also receiving higher student satisfaction.Its overall teaching effective-ness was comparable to that of traditional bedside teaching,suggesting that it can serve as a valuable supplementary tool to existing teaching resources for broader application.关键词
人工智能/诊断学/传统床旁教学/问诊教学Key words
artificial intelligence/Diagnostics/traditional bedside teaching/diagnostic inter-view teaching分类
医药卫生引用本文复制引用
杨泽利,时晓芳,梁文霞,汪羚利..GAI问诊模型在诊断学教学中的实践探索与效果分析[J].中国医学教育技术,2026,40(4):436-441,6.基金项目
北京大学第三医院教学研究专项课题(2024bysyxykzp02) （2024bysyxykzp02）
