欧洲卫生数据空间二次数据使用的互操作性框架:人工智能驱动项目的交互式欧洲互操作性框架基于标准的合规工具包
Rada Hussein1, Amelie Gyrard2, Somayeh Abedian1
1Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Journal of medical Internet research
|April 23, 2025
概括
一个交互式工具包帮助欧洲健康数据项目采用欧洲健康数据空间 (EHDS2) 的互操作性标准. 它解决了数据治理和人工智能集成方面的挑战,促进了统一的数据共享.
科学领域:
- 医疗信息学 医疗信息学
- 数据治理数据治理
- 医疗保健中的人工智能
背景情况:
- 欧洲卫生数据空间 (EHDS2) 需要强大的互操作性标准来使用二次数据.
- 挑战包括多样化的国家数据治理和整合AI技术.
- 现有的框架,如TEHDAS JA和EIF提供了一个基础.
研究的目的:
- 开发一个交互式工具包,以指导欧洲健康数据项目在与EHDS2.2保持一致的互操作性框架的创建.
- 解决实施互操作性标准,数据治理和人工智能集成方面的挑战.
- 促进协调标准实施项目的项目之间的合作和知识共享.
主要方法:
- 从七个主要的癌症研究项目 (IDERHA,EUCAIM,ASCAPE,iHelp,Bigpicture,HealthData@EU试点,INCISIVE) 的见解中获益.
- 开发交互式模块,以创建框架和指导健康数据标准.
- 结合合作,知识共享和适应不断变化的法规的功能.
主要成果:
- 开发了一个交互式工具包,以支持欧洲项目与EHDS2互操作性要求保持一致.
- 该工具包促进了健康数据标准的导航,并促进了数据可发现性和共享的平衡实施.
- 它使项目能够分享经验和最佳实践,促进协作方法.
结论:
- 该工具包为实施EHDS2互操作性框架提供了一个动态和可适应的解决方案.
- 它解决了数据治理,标准实施和人工智能集成的关键挑战.
- 通过HSbooster.eu传播将促进更广泛的反和持续改进,为共同的EHDS2互操作性框架做出贡献.
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