将临床决策支持集成到使用新平台 (EvidencePoint) 的电子健康记录系统中:发展性研究
Jeffrey Solomon1, Katherine Dauber-Decker1, Safiya Richardson2
1Institute of Health System Science, Feinstein Institutes for Medical Research, Manhasset, NY, United States.
JMIR formative research
|October 19, 2023
概括
一个新的基于云的平台,EvidencePoint,使临床决策支持 (CDS) 工具能够在不同的电子健康记录 (EHR) 上运行,简化了基于证据的实践采用. 这种不依赖EHR的系统简化了医疗保健提供者的CDS工具开发和集成.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
- 电子健康记录电子健康记录
背景情况:
- 集成到电子健康记录 (EHR) 中的临床决策支持 (CDS) 工具有助于采用基于证据的实践.
- 为每个EHR开发CDS工具,由于EHR特定的要求,会面临技术上的挑战.
- 现有的方法需要每个电子健康记录系统的独立开发,这阻碍了广泛实施.
研究的目的:
- 开发和实施一个不依赖于EHR的平台,用于集成CDS工具.
- 为了克服与依赖于EHR的CDS工具开发相关的技术限制.
- 为了使单一的CDS工具集能够在任何EHR系统中运行.
主要方法:
- 开发了EvidencePoint,这是一个新的,基于云的,不依赖EHR的CDS平台.
- 部署初始的CDS工具用于临床用例,包括COVID-19生存预测,静脉血栓塞栓症预防和肺栓塞诊断.
- 利用灵活可定制的平台架构来快速开发和部署工具.
主要成果:
- 国际医学预防注册系统的静脉血栓栓塞-D-Dimer CDS工具在干预组中实现了77.8%的采用率.
- 诺斯韦尔的COVID-19生存 (NOCOS) 工具是为资源限制期间的分拣而开发的,由于这种情况没有实现,因此使用范围有限.
- 证据点展示了灵活性和可定制性,使得CDS工具在疫情期间能够快速部署.
结论:
- 证据点系统证明了一个灵活,用户友好的平台的可行性,用于独立于特定的电子健康记录 (EHR) 的CDS工具.
- 未来的分析将报告EvidencePoint工具采用率和行为推动的影响.
- 与传统的IT集成方法相比,EvidencePoint的EHR无关性特性简化了未来的CDS开发.
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