面向数据质量和实用性标签的风景分析在欧洲卫生数据空间中
Ángel Sánchez-García1, Claudio Proietti Mercuri2, Nienke Schutte2
1Biomedical Data Science Lab (BDSLab), Instituto Universitario de Tecnologías de la Información y Comunicaciones (ITACA), Universitat Politècnica de València, Valencia, Spain.
European journal of public health
|February 14, 2026
概括
欧洲卫生数据质量评估的差异很大. 量子项目正在开发一种标准化的标签工具,以确保欧洲健康数据空间 (EHDS) 的数据质量和实用性.
科学领域:
- 医疗信息学 医疗信息学
- 数据治理数据治理
- 欧洲卫生数据空间 (EHDS)
背景情况:
- 欧洲健康数据空间 (EHDS) 旨在促进欧洲各地的健康数据共享和二次使用.
- 确保数据质量 (DQ) 对于有效实施EHDS至关重要.
- 量子项目专注于开发标签数据质量,实用性和成熟度的方法.
研究的目的:
- 调查欧洲数据所有者机构使用的当前数据质量评估实践和工具.
- 为EHDS设计一个可互操作的数据质量标签工具提供信息.
- 确定现有的开源健康数据质量工具,适用于EHDS标签.
主要方法:
- 在欧盟范围内的数据持有者中进行了一项调查,包括 QUANTUM 合作伙伴和外部机构.
- 按照PRISMA指南进行了系统的文献审查,以确定相关的开源数据质量工具.
- 文献搜索使用了PubMed,基于AI的查询以及已知的数据质量资源.
主要成果:
- 来自13个欧洲国家的27个机构收到调查答复,显示了DQ实践和工具的显著异质性.
- 机构采用各种方法,包括内部工具,开源软件,商业产品和手工流程.
- 系统性审查确定了66种数据质量工具,其中很大一部分是针对特定数据类型的,如EHR,omics和成像.
结论:
- 当前数据质量实践的多样性凸显了对EHDS标准化,可互操作的自我评估标签工具的需求.
- 这种工具应该指导与EHDS法规一致的指标的测量和整合.
- 量子项目正在开发这种工具,以支持通过欧盟健康数据访问机构发布数据集的标签.
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