数字医疗时代的健康数据的开放共享操作机制:基于基础理论和解释性结构建模方法的研究
Xinping Huang1,2, Siyuan Zhu3, Zheng Lv1
1School of Business and Management, Jilin University, Changchun, China.
Digital health
|June 30, 2025
概括
本研究引入了一个健康数据治理框架,以改善开放的健康数据共享. 该框架解决了诸如碎片化和监管差距等挑战,促进了高效和合规的数据重复使用.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 数据治理数据治理
背景情况:
- 数字医疗环境越来越依赖于开放的健康数据进行创新.
- 卫生数据系统面临的挑战包括碎片化,质量问题,连接性差,监管差距等.
- 这些系统性问题阻碍了医疗保健资源的有效整合.
研究的目的:
- 提出健康数据治理框架,为利益相关者提供一致的激励措施.
- 澄清符合卫生数据共享和重复使用的运营责任.
- 解决当前健康数据系统中的实际挑战.
主要方法:
- 实证理论被用来检查健康数据共享的关键元素.
- 解释性结构建模 - 应用到分类的交叉影响矩阵乘法 (ISM-MIMAC) 模型用于操作机制.
- 分析涵盖了利益相关者的行动,数据本体流和环境背景.
主要成果:
- 提出了一个结构化的健康数据治理框架,有四个组成部分:顶级指导,协作治理,技术赋权和权利保护.
- 该框架旨在标准化数据质量,增强互操作性和统一交换协议.
- 它为公开健康数据共享的挑战提供了系统的解决方案.
结论:
- 倡导一个开放的健康数据共享框架,强调指导,协作,技术和权利保护.
- 这个框架优化了开放健康数据的价值.
- 它解决了挑战,并利用了为更具包容性和效率的医疗保健系统提供机会.
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