初级保健提供者使用电子健康记录中的行为表型:集群分析
Katharina Tabea Jungo1,2,3, Niteesh K Choudhry4,5, John A Zambrano6
1Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. katharina.jungo@unibe.ch.
Journal of general internal medicine
|July 10, 2025
概括
在初级保健提供者 (PCP) 中发现了三种不同的电子健康记录 (EHR) 使用模式. 这些模式反映了不同程度的参与和在EHR系统中花费的时间.
科学领域:
- 医疗信息学 医疗信息学
- 初级医疗保健医学 一级医疗保健医学
- 在医疗保健中的数据科学.
背景情况:
- 在初级保健提供者 (PCP) 之间,电子健康记录 (EHR) 系统的使用情况有很大差异.
- 对于集群各种电子健康记录使用行为,如时间投资和协作实践的理解有限.
- 之前的研究主要集中在个别的EHR使用指标上,而不是全面的模式.
研究的目的:
- 在PCP中识别和描述EHR使用的不同模式.
- 将数据驱动的集群方法应用于EHR使用数据.
- 提供对PCP如何与EHR系统相互作用的细微了解.
主要方法:
- 一项横截面研究分析了大规模马萨诸塞州医疗保健系统中PCP的2021年EHR数据.
- 采用K-means集群,根据30个月EHR使用变量对PCP进行分组.
- 统计方法 (肘部,轮,差距统计) 确定了最佳的集群数量,然后对集群特征进行描述性分析.
主要成果:
- 该研究包括163名PCP,其中63%是女性,69%是白人.
- 三个不同的集群出现了:"高参与度用户" (38%),"低参与度用户" (42%) 和"中度和选择性用户" (20%).
- 这些集群是由电子健康记录参与和在系统中花费的时间的显著差异来定义的.
结论:
- 在PCP中发现了三个独特的电子健康记录使用模式,反映了不同的参与水平和时间分配.
- 这些发现凸显了PCP EHR使用的异质性.
- 未来的研究应该专注于定制EHR干预措施,以适应不同的提供者工作流方式.
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