在欧洲健康数据空间中表达健康数据集的多样性
Evangelia Anna Markatou1, Paul Knowles2, Livia A Carvalho3
1HL7 Europe, Brussels, Belgium.
Studies in health technology and informatics
|August 8, 2025
概括
确保多样化的健康数据集对于公平的健康干预至关重要. 测量数据集的多样性和在欧洲健康数据空间 (EHDS) 中使用结构化元数据是研究实用性的关键.
科学领域:
- 医疗信息学 医疗信息学
- 生物医学数据科学 生物医学数据科学
- 健康 公平 研究 健康 公平 研究
背景情况:
- 多样化的健康数据集对于公平的健康干预和结果至关重要.
- 目前评估数据集多样性的方法可能不足.
- 欧洲健康数据空间 (EHDS) 旨在促进健康数据的共享.
研究的目的:
- 探索测量健康数据集多样性的方法.
- 研究如何使用元数据在EHDS中表示数据集多样性信息.
- 提出一个框架来评估多式联运数据集对研究的有用性.
主要方法:
- 审查有关健康数据多样性指标的现有文献.
- 对健康数据的元数据标准的分析.
- 与数据所有者进行结构化交互的概念框架开发.
主要成果:
- 健康数据集的多样性包括社会人口统计学,临床,生活方式和遗传因素.
- 简单的注释不足以捕捉各种数据集的全部实用性.
- 为了准确评估数据集的实用性,需要与数据所有者进行结构化的互动.
结论:
- 对健康数据集多样性的有效测量和元数据表示对于EHDS至关重要.
- 需要比简单的注释更复杂的方法来利用各种数据集进行研究.
- 促进与数据所有者进行结构化对话将增强多式联络健康数据的实用性.
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