在儿科中实现可互操作的数据集:一种数据集成方法
Louisa Bode1, Marcel Mast1, Henning Rathert2
1Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany.
Studies in health technology and informatics
|June 30, 2023
概括
创建标准化的儿科重症监护数据集对于研究至关重要. 本研究介绍了一个使用openEHR的数据集成管道,以协调例行患者数据,使二次数据使用成为可能.
科学领域:
- 儿科重症监护医学 儿科重症监护医学
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 儿科重症监护中的常规数据集往往没有协调或标准化.
- 这种缺乏标准化阻碍了对数据的二次使用,用于研究和应用开发.
- 不同质的数据孤岛阻碍了儿科重症监护的知识获取和创新.
研究的目的:
- 提出和实施数据集成管道,以创建儿科重症监护中的可互操作的例行数据集.
- 建立一个标准化,协调的数据库,用于二次数据分析.
- 鼓励在其他儿科重症监护病房采用类似的数据整合方法.
主要方法:
- 采用了三级方法:从初级来源识别数据,本地数据集成,并使用openEHR转换到标准化格式.
- 开发了15个开放的EHR模板和31个可互操作的提取,转换,加载 (ETL) 过程.
- 从大约4,200名儿科患者的匿名和标准化数据被加载到统一的数据库中.
主要成果:
- 成功地将4200名儿科患者的匿名标准化数据集成到统一的数据库中.
- 建立了31个互操作的ETL流程和15个开放的EHR模板.
- 创建了用于二次使用常规儿科重症监护数据的基础.
结论:
- 拟议的数据整合管道有效地从常规儿科重症监护数据中创建标准化,可互操作的数据集.
- 这种方法促进了数据孤岛的分解,并促进了对有价值的患者信息的二次使用.
- 开发的openEHR模板和ETL流程可以作为其他机构的模型.
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