医疗业务流程隐私下的多视图偏差检测:通过数字化转型增强以患者为中心的护理
Juan Li1,2, Xianwen Fang1,2, Yan Wang1
1College Electronic and Information Engineering, Anhui Water Conservancy Technical College, Hefei, China.
Science progress
|December 1, 2025
概括
这项研究引入了一种新的多视图偏差检测方法,可以保护隐私. 它有效地识别隐藏的过程和数据偏差,优于医疗领域的现有方法.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 业务流程管理 业务流程管理
背景情况:
- 偏差检测对于业务流程安全,欺诈预防和异常监控至关重要,特别是在医疗保健领域.
- 现有的方法难以平衡数据实用性和隐私保护,经常忽视数据诱导的偏差或冒敏感信息暴露的风险.
研究的目的:
- 提出一种新的多视图偏差检测方法,将隐私保护纳入其中.
- 通过同时考虑控制流,数据诱导的偏差和隐私问题来解决当前方法的局限性.
主要方法:
- 利用随机场模型提取关键业务流程数据属性.
- 实施了基于身份和目的的数据匹配算法,用于用户安全和数据验证.
- 采用业务流程活动视图和决策逻辑分析来链接流程和数据以检测偏差,从多个角度发现隐藏的偏差.
主要成果:
- 拟议的方法通过分析业务流程,数据流和隐私视角之间的相互作用来有效地检测偏差.
- 对现实世界医疗事件数据的评估证实了该方法与现有方法相比更高的有效性.
- 准确识别了其他方法忽略的偏差,证明了增强的检测能力.
结论:
- 多视图偏差检测方法为增强业务流程安全性和隐私提供了强大的解决方案.
- 这种方法在检测复杂偏差方面取得了重大进展,特别是在医疗保健等敏感领域.
- 这些发现强调了综合视角对于全面和保护隐私的偏差分析的重要性.
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