在健康信息交换中以消费者为中心的同意自动化
1Deontik, Australia.
Studies in health technology and informatics
|September 25, 2024
概括
这项研究引入了计算机可读的健康数据共享政策,加强了消费者控制,并使自动同意成为可能. 这种方法改善了数字健康领域的互操作性和政策采用.
科学领域:
- 医疗信息学 医疗信息学
- 计算机科学 计算机科学
- 信息治理 信息治理
背景情况:
- 数字化医疗转型需要对敏感数据提供强有力的同意机制.
- 现有的数据共享政策往往缺乏机器可读性,阻碍了自动化.
- 消费者偏好和隐私在健康信息交换中至关重要.
研究的目的:
- 为管理健康数据的共享和使用提出计算机可读的政策表达式.
- 在数字健康生态系统中实现同意自动化.
- 增强互操作性和政策适应性.
主要方法:
- 使用HL7 FHIR标准进行健康信息交换.
- 将ISO ODP企业语言 (ODP-EL) 概念应用于义务和责任.
- 开发一个特定领域的语言 (DSL) 用于政策表达和代码生成.
主要成果:
- 在基于同意的健康数据交换中展示了计算机可读性政策的框架.
- 通过DSL生成的代码,便于与数字健康应用程序集成.
- 适应生成AI用于政策调整和来源跟踪.
结论:
- 拟议的方法加强了消费者对敏感健康数据的控制.
- 它通过整合同意,隐私和安全要求来提高互操作性.
- 该框架支持适应新业务,监管和司法政策的适应性.
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