基于人工智能的数据策划:实现以患者为中心的欧洲健康数据空间
Isabelle de Zegher1, Kerli Norak2,3, Dominik Steiger4
1B!loba, Tervuren, Belgium.
Frontiers in medicine
|May 30, 2024
概括
艾达瓦项目使用人工智能虚拟助手来自动化患者的健康数据集成,改善欧洲健康数据空间 (EHDS) 下的护理和研究. 这种方法可以有效地使用数据,并支持以患者为中心的EHDS.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 数据治理数据治理
背景情况:
- 欧洲健康数据空间 (EHDS) 条例旨在加强健康数据共享,但在个人重点和二次数据生成负担方面存在局限性.
- 目前用于从异质患者数据中创建二次数据集的方法是低效和复杂的.
研究的目的:
- 通过开发基于人工智能的虚拟助理来解决EHDS中的局限性,用于自动化健康数据集成和转换.
- 创建可互操作的,纵向的健康记录,使个人患者受益,并有效地生成用于研究和政策的二次数据.
主要方法:
- 开发一个人工智能驱动的虚拟助理,以自动化整合和转换个别患者的健康数据.
- 实施"一次在患者层面进行治疗,多次使用"的数据管理策略.
- 数据所有者对数据源内容的正式描述,以实现数据集成.
主要成果:
- 有希望的初步结果在15个月后自动化整合和转换异质患者数据.
- 成功构思了一个以患者为中心的EHDS框架.
- 确定建议,以促进EHDS中的二次数据生成.
结论:
- 艾达瓦项目展示了一个可行的方法,通过人工智能驱动的数据管理来克服EHDS的局限性.
- 开发的系统促进了向以患者为中心的健康数据利用和高效的二次数据创建的范式转变.
- 建议提出了一个更以患者为中心,数据效率更高的EHDS.
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