数据驱动的决策支持工具与初级医疗保健实践基于学习网络的共同开发
Jacqueline Kueper1,2, Jennifer Rayner3,4, Sara Bhatti4
1Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
F1000Research
|February 11, 2025
概括
本案例研究详细介绍了社区卫生中心 (CHC) 的数据驱动决策支持工具的共同开发项目. 该工具的发展是为了帮助组织规划心理健康护理能力,改善患者的治疗结果.
科学领域:
- 医疗信息学 医疗信息学
- 初级医疗保健研究 研究初级医疗保健研究
- 医疗保健服务研究 医疗服务研究
背景情况:
- 健康社区联盟支持安大略省社区卫生中心 (CHC) 提供以团队为基础的初级保健.
- 本案例研究侧重于在实践学习网络 (PBLN) 中共同开发数据驱动的决策支持工具.
研究的目的:
- 描述使用电子健康记录 (EHR) 数据共同开发决策支持工具的过程和经验教训.
- 为未来的倡议提供信息,以在初级医疗保健机构中开发基于EHR的决策支持工具.
主要方法:
- 一种代方法,涉及讨论会议和用CHC EHR数据进行案例研究.
- 发展的六个阶段:人口水平研究,团队参与,问题选择和两个沙箱案例研究 (个人和人口水平预测).
主要成果:
- 最初的人口层面分析突出了电子健康记录中客户数据表示问题.
- 该项目从心理健康下降后糖尿病诊断的个人风险预测演变为心理健康护理能力的组织规划.
结论:
- 共同开发过程为未来基于EHR的决策支持工具倡议提供了洞察力.
- 开发的工具旨在支持糖尿病和心理健康护理,并为人口层面的能力规划模型提供信息.
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