诊所分析:利用EMR报告工具来描述中心的体积和复杂性
Vanuli Arya1, Arindam Ghosh Mazumder1, Muna Nnamani1
1Departments of Neurology, Neuroscience and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.
Frontiers in neurology
|January 28, 2026
概括
中心可以通过电子健康记录来跟踪患者的体积和复杂性. 这有助于资源配置和识别患者进行先进的治疗,如手术.
科学领域:
- 神经学 神经学
- 医疗信息学 医疗信息学
- 医疗保健管理的管理
背景情况:
- 中心管理复杂的患者群体,需要协调护理.
- 需要客观指标来优化资源配置和患者管理.
- 电子医疗记录 (EMR) 为数据驱动的洞察提供了潜力.
研究的目的:
- 为了分析患者和访问量,抗发作药物 (ASM) 处方和神经调节使用超过11年.
- 开发和验证一种监测中心患者复杂性的方法.
- 为资源分配和患者管理策略提供信息.
主要方法:
- 使用Epic工作台报告用于从2013-2023年提取数据.
- 包括诊所访问日期,神经调节CPT代码和ASM处方.
- 根据访问频率和ASM多样性计算了年度患者复杂性得分 (CS).
主要成果:
- 在11年内,每年患者数量翻了一番.
- 注意到ASM多疗率的增加和处方模式的转变.
- 在使用神经调节或液体ASM的患者中发现更高的CS,随着时间的推移,平均CS增加.
结论:
- 一种简单的基于EMR的方法可以纵向跟踪中心患者的体积和复杂性.
- 这种监测有助于促进资源的公平分配.
- 它有助于识别手术和远程患者监控的候选人.
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