研究数据仓库:使用电子健康记录进行基于人口的观察性研究
Wansu Chen1, Fagen Xie1, Don P Mccarthy1
1Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA.
JAMIA open
|June 26, 2023
概括
南加利福尼亚州凯泽永久公司开发了一个研究数据仓库 (RDW),使电子健康记录可用于研究. RDW包含广泛的纵向数据,使得分析患者特征和疾病流行率成为可能.
科学领域:
- 医疗信息学 医疗信息学
- 生物医学研究生物医学研究
- 数据科学数据科学数据科学
背景情况:
- 电子健康记录 (EHR) 和传统系统包含有价值的纵向数据用于研究,但往往无法访问.
- 开发强大的数据存储库对于利用这些丰富的数据集至关重要.
研究的目的:
- 提供凯泽永久南加州 (KPSC) 研究数据仓库 (RDW) 的高级概述.
- 讨论与研究数据仓库相关的挑战.
- 通过报告患者特征,疾病患病率和程序使用情况来证明RDW的应用.
主要方法:
- 自20世纪90年代末以来,开发和维护研究数据仓库 (RDW),汇总和标准化来自内部和外部来源的数据.
- 对1981年至2018年的1.05亿人年健康计划入学数据的分析.
- 报告患者人口统计数据,特定疾病的流行率和医疗程序的利用率.
主要成果:
- RDW包含了广泛的纵向数据,大多数医疗保健利用数据自20世纪90年代初或中期以来就已可用.
- 分析显示了人口分布和高超重/肥胖率在招生人群中.
- 2001年至2018年,糖尿病和高血压等疾病的年龄调整流行率增加;住院和ED访问率低于美国平均水平.
结论:
- KPSC RDW为研究提供了宝贵的资源,包括全面的纵向健康数据.
- 开发KPSC RDW的方法和经验为参与大数据研究的其他医疗保健系统提供了洞察力.
- RDW有助于了解人口健康趋势和医疗保健利用模式.
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