用于保护隐私的医疗保健数据共享的框架

Lei Chen, Jijiang Yang, Qing Wang, Yu Niu
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引用次数: 15

摘要

由于医疗保健数据对许多组织进行科学研究或分析非常有价值,因此共享医疗保健数据的需求迅速增长。然而,医疗保健数据通常包含大量患者隐私。直接分享这些数据将对患者隐私带来巨大威胁。有必要开发实用的方法来平衡医疗保健数据共享和隐私保护。虽然已经发展了许多方法来处理这些问题,但大多数都是用单一的理论来关注问题的一个小范围。本文从实际应用的角度,更全面地介绍了一种保护隐私的数据共享框架。该框架重点研究了数据共享过程中隐私保护的三个关键问题:隐私定义与检测、隐私保护策略管理、隐私保护医疗数据共享。并对这三个问题的解决方法进行了详细的探讨。该框架的一个简单实施将被引入,以解决保护隐私的电子医疗记录发布问题。
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A framework for privacy-preserving healthcare data sharing
As healthcare data is quite valuable to many organizations for scientific research or analysis, the demand of sharing healthcare data have been growing rapidly. Nevertheless, health care data usually contains a lot of patient privacy. Sharing that data directly would bring huge threaten to patient privacy. It's necessary to develop practical methods to balance health care data sharing and privacy protection. Although many approaches have been developed to deal with these problems, most of them are focusing on a small scope of the problem with single theory. In this paper, we'd like to introduce a framework for privacy preserving data sharing with the view of practical application in more comprehensive way. The framework focuses on three key problems of privacy protection during data sharing which are privacy definition and detection, privacy protection policy management, privacy preserving health care data sharing. And solutions to these three problems are discussed in details. A simple implementation of the framework would be introduced to solve the problems of privacy-preserving electronic medical records publishing.
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