在数字平台的背景下,研究医疗保健数据共享,考虑到数据泄露的风险
Shizhen Bai1, Jinjin Zheng1, Wenya Wu1
1School of Management, Harbin University of Commerce, Harbin, China.
Frontiers in public health
|November 21, 2024
概括
这项研究模拟了中国的医疗保健数据共享,发现完全匿名的共享,严格的平台监管和保险审计是最佳策略. 这种方法平衡了数据实用性与隐私保护,以获得更好的医疗保健和保险结果.
科学领域:
- 医疗信息学 医疗信息学
- 游戏理论 游戏理论
- 数据安全 数据安全
背景情况:
- 医疗数据共享对于中国的保险业和患者参与至关重要.
- 由于安全和隐私问题,医疗机构犹不决地分享数据.
- 进化游戏理论提供了一个平衡数据实用性和隐私的框架.
研究的目的:
- 开发和验证一个模型,以促进医疗保健数据共享.
- 解决医疗机构对数据共享的不情愿.
- 在数字医疗平台中协调数据实用性与隐私保护.
主要方法:
- 与医疗机构,大数据平台和保险公司一起构建了一个进化游戏模型.
- 综合因素包括数据泄露,赔偿,罚款,补贴,费用,索赔效率和欺诈等.
- 分析了模型的稳定性,并进行了数值和灵敏度模拟.
主要成果:
- 在进化游戏中确定了八个平衡点.
- 模拟表明,趋于一种有利于机构完全匿名的数据共享,平台严格监管和保险公司审计的战略.
- 灵敏度分析证实了参数对玩家行为和游戏平衡有重大影响.
结论:
- 医疗机构更喜欢与平台和保险公司共享,以减轻违规风险.
- 平台监管和保险公司审计受到责任分担系统的激励.
- 补偿在数据泄露场景中发挥着关键作用,可能减少对政府监督和处罚的依赖.
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