研究数据可靠吗?研究数据可靠吗? 在FHIR,Trinetx和临床数据源之间的质量比较
Sude E Kocman1, Helene Köster2, Christian Gulden1
1Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute for Medical Informatics, Biometrics and Epidemiology, Medical Informatics, Erlangen, Germany.
Studies in health technology and informatics
|May 17, 2025
概括
电子健康记录 (EHR) 能够进行大规模的真实世界数据研究. 这项研究发现,由于不同的代码系统和映射过程,电子健康记录数据质量在各存储库之间具有良好的一致性,但也存在差异.
科学领域:
- 医疗信息学 医疗信息学
- 临床数据管理 临床数据管理
- 现实世界的数据研究研究
背景情况:
- 电子健康记录 (EHR) 为临床研究提供了有价值的现实数据.
- 在临床数据库中准确的数据转换对于可靠的研究至关重要.
- 数据质量的变化可能会影响研究结果的有效性.
研究的目的:
- 评估三个临床数据库的数据质量和完整性:数据仓库 (DWH),快速医疗互操作资源 (FHIR) 和 TriNetX.
- 在这些存储库中识别关键数据元素 (诊断,程序,实验室代码) 的差异.
- 评估数据转换过程对研究数据的影响.
主要方法:
- 分析关键数据元素,包括诊断,程序和实验室代码.
- 在DWH,FHIR和TrinetX数据库中对数据质量和完整性的比较评估.
- 使用特定临床研究问题的数据评估.
主要成果:
- 在分析的数据库中观察到总体上很好的一致性.
- 发现了差异,主要归因于代码系统,数据过方法和映射流程的变化.
- 该研究强调了多中心研究数据协调的具体挑战.
结论:
- 对数据来源和转换过程的批判性评估对于使用EHR数据的多中心研究至关重要.
- 了解每个数据库的独特优势和局限性对于确保高质量的研究成果至关重要.
- 建议对数据处理和映射进行标准化,以提高临床研究中的数据质量.
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