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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.

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概括
此摘要是机器生成的。

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.

关键词:
数据集数据集数据集互操作性 互操作性 互操作性儿科重症监护病房 儿科重症监护病房

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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.