构建数据平台的经验教训,用于纵向,分析用例和扩展到77家德国医院:实施报告
Markus Bockhacker1, Peter Martens2, Clara von Münchow1
1Helios Kliniken, Friedrichstraße 136, Berlin, 10114, Germany, 49 305213210.
JMIR medical informatics
|September 12, 2025
概括
德国医院现在可以使用新的数据平台将电子健康记录 (EHR) 汇总起来进行研究. 患者同意使用数据的时间为70.2%,使得超越大学中心的真实世界数据研究成为可能.
科学领域:
- 医疗信息学 医疗信息学
- 现实世界的数据研究研究
- 数据标准化数据标准化
背景情况:
- 采用电子健康记录 (EHR) 促进了真实世界的数据研究.
- 来自德国急性护理医院 (非大学) 的数据汇总有限.
- 开发了一个新的数据平台,以标准化和汇总伪名的EHR数据,并获得患者的同意.
研究的目的:
- 报告研究数据平台的设计,实施和扩展情况.
- 将77家医院的现实数据纳入统一的数据湖.
- 分析患者参与和平台扩展过程中学到的经验教训.
主要方法:
- 敏捷开发周期用于增量数据标准化.
- 在Apache Hadoop上使用分层的lambda架构.
- 分散连接器用于数据最小化和假名化.
主要成果:
- 成功地将数据模型扩展到77家医院.
- 与实时数据管道和IHE接口遇到的挑战.
- 实现了 70.2% 的患者同意率 (在 1,475,244 个请求中,有 1,023,633) 对二次数据的使用.
结论:
- 患者愿意同意二次数据使用,尽管这需要大量的努力.
- 研究数据平台对于收集和标准化用于现实研究的纵向数据至关重要.
- 敏捷开发,分阶段推出和自动化使得快速反的整合和数据质量的提高成为可能.
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