可扩展辅导和欣赏反,以实现最佳的学习和决策 (SCAFFOLD)
Zach Landis-Lewis1, Peter Boisvert1, Farid Seifi1
1Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
Studies in health technology and informatics
|August 8, 2025
概括
为最佳学习和决策提供可扩展的辅导和评价反 (SCAFFOLD) 通过增加提供者的反参与来提高医疗保健质量. 这个系统产生了激励指导和赞赏信息,提高了反的有效性.
科学领域:
- 改善医疗保健质量 改善医疗保健质量
- 医疗信息学 医疗信息学
- 健康 职业 教育 教育 专业
背景情况:
- 临床绩效反对于质量改善至关重要,但往往受到医疗保健专业人员低参与的影响.
- 关于传统反方法的有效性存在可变的证据.
- 缺乏供应商参与是优化反影响的重要障碍.
研究的目的:
- 引入可扩展的辅导和欣赏反,以实现最佳的学习和决策 (SCAFFOLD),一个精确的反系统.
- 通过改进绩效反报告和仪表板来提高提供商参与度和反效率.
- 评估SCAFFOLD在一个大规模的质量改进计划中的可行性和功能.
主要方法:
- 开发SCAFFOLD系统,以生成具有高激励潜力的信息.
- 六个月内在全国范围的外科外科质量改善联盟中实施SCAFFOLD.
- 分析麻醉提供者的信息生成和类型 (辅导与欣赏).
主要成果:
- SCAFFOLD为4,550名麻醉提供者生成了21,776条消息.
- 94%的信息是以辅导为重点的 (20,391),而6%是赞赏信息 (1385).
- 该系统展示了大规模消息生成的可行性.
结论:
- SCAFFOLD提供了一种可行的方法,用于生成量身定制的辅导和赞赏反信息.
- 该系统增强了反电子邮件,报告和仪表板,以提高供应商的参与度.
- 像SCAFFOLD这样的精密反系统显示出提高质量改进战略有效性的前景.
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