医疗保健系统合作,在电子健康记录中实施共享决策工具,并建立关于其采用和使用的证据
Megan E Branda1,2, Jennifer L Ridgeway2,3, Devin Mann4
1Department of Quantitative Health Sciences Mayo Clinic Rochester Minnesota USA.
Learning health systems
|June 17, 2024
概括
将电子共享决策 (SDM) 工具集成到电子健康记录 (EHR) 中是可行的. 医疗保健系统之间的协作和有针对性的文档促进了整合过程,并解决了数据挑战.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持 临床决策支持
- 患者参与 患者参与
背景情况:
- 共享决策 (SDM) 增强了在护理规划中的患者和临床医生的合作.
- 电子健康记录 (EHR) 和SDM工具的整合可以提高采用率.
- 一个免费可用的电子SDM工具,CV预防选择,被选中用于EHR集成.
研究的目的:
- 报告将电子SDM工具集成到三个医疗保健系统的电子健康记录中.
- 评估基于网络的SDM工具的轻量级EHR集成的可行性和挑战.
- 评估有针对性的文档在支持IT团队协作的有效性.
主要方法:
- 采用了一个渐进形随机的实用试验设计.
- 使用基于HTML5的Web应用程序指南,CV预防选择工具被集成到电子健康记录中.
- 医疗保健系统使用了研究开发的文档,通过所学经验来改进.
- 一种"轻量级"的整合方法确保了本地患者数据处理,而不需要外部PHI传输.
主要成果:
- 在三个医疗保健系统中,整合时间从9.7到12.1周不等.
- 研究团队和医疗保健系统之间需要进行最小的会议 (一到两次1小时的会议).
- 信息技术团队进行了有效的协作,共享信息并建议改进文档.
- 挑战包括跟踪工具的使用和捕获组合药物数据,需要对数据抽象进行改进.
结论:
- 有针对性的文档和资源映射促进了IT团队的协作,以实现无的EHR集成.
- 协作方法使得克服了整合障碍,并协调了用于试验分析的数据.
- 这项研究展示了一个成功的模型,用于将基于Web的SDM工具集成到多种EHR系统中,并尽量减少研究监督.
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