根植于推理:使用诊断RCAs的临床推理课程
David Klimpl1, Stacey Staudinger1
1Department of Medicine, Division of Hospital Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Diagnosis (Berlin, Germany)
|October 6, 2025
概括
这项研究开发了一种诊断根源分析 (RCA) 模块,以改善高级实践提供者 (APP) 的临床推理. 该模块增强了APP的知识和对错误分析的信心,促进反思性实践和学术包容.
科学领域:
- 医学教育 医学教育
- 改善医疗保健质量 改善医疗保健质量
- 临床推理 临床推理
背景情况:
- 临床推理对于安全的患者护理至关重要,但不一致地教给高级实践提供者 (APP).
- 医院医学中APP之间临床推理的差距可能导致医疗错误.
- 需要针对应用程序量身定制的有效的临床推理教育.
研究的目的:
- 开发和评估一个临床推理模块,用于医院医学APP研究员使用诊断根源原因分析 (RCA).
- 增强APP识别错误贡献者,分析案例和设定目标的能力.
- 在APP中培养反思性实践和学术参与.
主要方法:
- 一个利用诊断根源分析 (RCA) 的课程交付给了APP研究员.
- 研究员们使用认知鱼骨图分析了现实世界的诊断错误.
- 分析在小组会议上进行了介绍,随后进行了前后评估调查.
主要成果:
- 27名研究员完成了该模块,在6个知识和信心领域显示了统计学上显著的改进.
- 质量反强调了该模块的心理安全性和同行学习效益.
- 参与学术活动的学习者,包括海报演示和联合促进.
结论:
- 该RCA模块为临床推理教育提供了一个可扩展和时间效率高的方法.
- 同行主导的设计促进心理安全和反思性实践.
- 这种方法解决了教育差距,并促进了APP的学术包容.
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