菲里:在联邦卫生研究中广泛重用敏感数据的教训
Juan González-García1, Javier González-Galindo1, Francisco Estupiñán-Romero1
1Data Sciences for Health Services and Policy Research, Institute for Health Sciences in Aragón (IACS), Zaragoza, Spain.
European journal of public health
|July 1, 2024
概括
人口健康信息研究基础设施 (PHIRI) 允许对敏感的健康数据进行安全的再利用,用于公共卫生研究. 这种联合方法确保了跨多个研究节点的互操作性,克服了数据访问限制.
科学领域:
- 医疗信息学 医疗信息学
- 人口健康研究 人口健康研究
- 数据科学数据科学数据科学
背景情况:
- 重复使用敏感的健康数据对于人口健康研究和公共政策至关重要.
- 在访问和整合敏感的健康数据以进行研究方面存在挑战.
- 人口健康信息研究基础设施 (PHIRI) 是为了应对这些挑战而开发的.
研究的目的:
- 描述PHIRI的设计,实施和部署.
- 突出PHIRI方法的优势,挑战和未来发展.
- 展示PHIRI在促进敏感健康数据联合研究方面的能力.
主要方法:
- 实施了"数据访问"原则,其中代码移动到数据,而不是相反.
- 利用工作流编排来实现法律,组织,语义和技术的互操作性.
- 采用"主工"联合计算架构进行研究.
主要成果:
- 在9个参与节点和28个欧洲-Peristat成员中成功部署了PHIRI.
- 开发和发布了四个用例的共同数据模型,分析管道和研究成果.
- 确保所有数字对象都遵守开放科学和公平原则.
结论:
- PHIRI成功地以联合的方式支持了四个用例.
- 克服了与重复使用敏感健康数据相关的限制.
- 提供了一个强大的方法来实现跨多个研究节点的互操作性.
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