临床决策支持系统对医学学生案例解决能力的影响:与焦点组进行比较研究
Marco Montagna1, Filippo Chiabrando1, Rebecca De Lorenzo1
1School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, 20132, Italy.
JMIR medical education
|March 18, 2025
概括
使用ChatGPT用于临床病例的医学学生比使用传统临床决策支持系统 (CDSS) 的学生更快,但准确性较低,这凸显了对LLM使用培训的需要.
科学领域:
- 医学教育 医学教育
- 临床决策支持系统 临床决策支持系统
- 医疗保健中的人工智能
背景情况:
- 临床决策支持系统 (CDSS) 帮助医疗保健从业人员进行临床推理.
- 传统的CDSS包括在线存储库 (OR) 和临床实践指南 (CPG).
- 像ChatGPT这样的大型语言模型 (LLM) 正在成为潜在的CDSS替代品,提供了机遇和风险.
研究的目的:
- 在评估的临床病例中,使用不同的CDSS工具 (CPG,OR,ChatGPT) 评估医学学生的表现.
- 在各种CDSS中比较医学学生案件解决的速度和准确性.
主要方法:
- 医学学生被随机分配到CPG,OR或ChatGPT组.
- 每组使用他们分配的CDSS来回答临床病例预先指定的问题.
- 外部审查员评估了答案的准确性和完整性 (1-5级),分析了差异诊断,诊断工作和临床决策方面的表现.
主要成果:
- 聊天GPT小组显示了更快的响应时间的趋势.
- 平均完整度得分:CPG (4.0),OR (3.7),ChatGPT (3.8). 平均完整度得分:CPG (4.0),OR (3.7),ChatGPT (3.8) 平均完整度得分:CPG (4.0) 平均完整度得分:CPG (4.0) 平均完整度得分:CPG (4.0) 平均完整度得分:CPG (3.7) 平均完整度得分:CPG (3.8) 平均完整度得分:CPG (3.7)
- 平均准确度得分:CPG (4.0),OR (3.3),ChatGPT (3.7),CPG的整体表现最好.
结论:
- 与OR和ChatGPT相比,临床实践指南 (CPG) 在准确性和完整性方面表现优越.
- 该研究强调了医疗教育中对大型语言模型 (LLM) 的有效和安全使用的正式培训的需要.
- 在医疗实践中对LLM的潜在滥用需要课程开发来解决它们的整合.
关键词:
在这里,我们可以看到AIAIAI.这是一个CDSSCDSSCDSS.在此期间,LLMs.ML ML 在 ML算法算法是一种算法.人工智能的人工智能是人工智能.聊天GPTPT 的意思聊天机器人 聊天机器人临床决策支持系统临床决策支持系统在临床决策过程中.决策支持提供了决策支持.决策支持工具 决策支持工具深度学习是一种深度学习.创新的教学教学创新的教学大型语言模型.机器学习是机器学习.医学教育 医学教育医学教学 医学教学 医学教学实用模型实用模型模型预测分析 预测分析预测模型是一个预测模型.预测系统 预测系统教学环境的教学环境更多相关视频
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