提高儿科实习生的临床技能:对ChatGPT辅助和传统教学方法进行比较研究
Hongjun Ba1,2, Lili Zhang3, Zizheng Yi3
1Department of Pediatric Cardiology, Heart Center, First Affiliated Hospital of Sun Yat-sen University, 58# Zhongshan Road 2, Guangzhou, 510080, China. bahj3@mail.sysu.edu.cn.
像ChatGPT这样的人工智能 (AI) 工具增强了儿科学员的临床技能,特别是患者的沟通和判断,而不影响理论知识. 这种人工智能辅助的方法显示出增强医学教育的前景.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 儿科培训 儿科培训
背景情况:
- 人工智能在医学教育中的整合需要为儿科实习生进行具体的评估.
- 像ChatGPT这样的AI工具可能会解决儿科培训中的独特挑战.
研究的目的:
- 评估ChatGPT辅助教学与传统方法对儿科学员临床技能的评估.
- 评估对理论知识和实践技能的影响.
主要方法:
- 77名儿科学员被随机分为人工智能辅助 (ChatGPT) 和传统教学组.
- 培训持续了两周,通过理论考试和迷你临床评估练习 (Mini-CEX) 进行评估.
- 实习生对人工智能的接受度和满意度进行了调查.
主要成果:
- 两组之间的理论考试成绩没有显著差异.
- 聊天GPT组显示Mini-CEX得分显著改善,特别是在患者沟通和临床判断方面.
- 人工智能方法在交互式学习和技能获取方面得到了积极的反.
结论:
- 通过聊天GPT辅助的指导可以提高儿科学员的实际临床技能.
- 人工智能有可能补充传统的儿科医学教育.
- 对医疗教育中人工智能应用的进一步研究是有必要的.
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