信任绩效指标和信任压力测试:可靠的健康数据空间的概念性提议
Felix Gille1,2, Paola Daniore3, Laura Maaß4,5
1Digital Society Initiative (DSI), University of Zurich, Zurich, Switzerland.
International journal of public health
|November 3, 2025
概括
开发值得信赖的健康数据空间 (HDS) 需要评估信任. 本研究介绍了信任绩效指标和信任压力测试,以评估和提高数字健康政策至关重要的HDS的可信度.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 信息治理 信息治理
背景情况:
- 对健康数据空间 (HDS) 的采用和合法性而言,信任至关重要.
- 对于对HDS的信任存在概念框架,但评估可信度的方法尚不发达.
- 现有的研究缺乏可靠的方法来评估建立信任的原则在HDS的表现.
研究的目的:
- 提出新的方法来评估健康数据空间的可靠性.
- 解决有关HDS信任原则的绩效评估研究的差距.
- 通过实用的评估工具,为开发具有弹性和可信度的HDS做出贡献.
主要方法:
- 引入信任绩效指标 (TPI) 用于对信任原则的例行数据收集.
- 开发信任压力测试 (TST) 来识别HDS架构中的漏洞.
- 专注于通过定量和基于场景的方法来评估可信度.
主要成果:
- TPI提供了一种机制,用于持续监测HDS内部的信任建设要素.
- 运输安全测试能够主动识别可能损害HDS可信度的风险.
- 拟议的方法提供了增强HDS弹性和可信度的实际工具.
结论:
- 拟议的方法,TPI和TST,为评估和提高HDS可信度提供了双重方法.
- 这些方法对于确保数字健康数据基础设施的可靠和合法运行至关重要.
- 实施这些评估技术将促进对健康数据空间的更大信心和安全性.
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