确保FHIR上分析的端到端数据质量
Jasmin Ziegler1,2,3, Clara Fischer2,4, Paul-Christian Volkmer2,5
1Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany.
Studies in health technology and informatics
|April 24, 2025
概括
本研究引入了一条管道,用于评估瘤学真实世界数据 (RWD) 转换中的数据完整性. 它通过验证从源到标准化格式的数据质量来确保可靠的现实世界证据 (RWE) 生产.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 在瘤学瘤学.
背景情况:
- 来自电子健康记录 (EHR) 和注册表的真实世界数据 (RWD) 具有产生真实世界证据 (RWE) 的巨大潜力.
- 数据质量对于强大的RWE生成至关重要,特别是在将异质RWD转换为标准化,准备研究的数据模型时.
- 确保数据的完整性是验证RWD质量的关键第一步.
研究的目的:
- 提出一种新的方法来评估瘤学真实世界数据 (RWD) 提取和转换管道中的数据完整性.
- 在数据转换的多个阶段引入一个技术解决方案来评估数据的完整性.
主要方法:
- 开发了一个模块化管道,用于提取和转化瘤性RWD.
- 实施了一种技术解决方案,以评估数据在三个转换阶段的完整性:初始数据源,健康7级 (HL7) 快速医疗互操作资源 (FHIR) 和逗号分隔值 (CSV).
- 利用Trino,一个分布式的SQL引擎,来比较癌症诊断数量以评估完整性.
主要成果:
- 该管道成功地使得在关键转换关节的数据完整性的评估成为可能.
- 模块化设计促进了与各种数据源的兼容性,并有助于检测抽取,转换,加载 (ETL) 过程中的错误.
- 癌症诊断计数被用来量化评估数据的完整性跨转化阶段.
结论:
- 开发的管道提供了一种可靠的方法来评估瘤RWD中的数据完整性.
- 这种方法提高了数据分析在联合环境中的可靠性.
- 未来的工作将扩展该系统,以解决其他数据质量维度,如正确性和可信性.
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