NetSE: Medium: Privacy-Preserving Information Network and Services for Healthcare Applications

NetSE：媒介：用于医疗保健应用程序的隐私保护信息网络和服务

• 批准号: 0905493
• 负责人: Ling Liu
• 金额: $ 107.63万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0905493&HistoricalAwards=false
• 关键词: NetSE; Medium; Privacy; Preserving; Information

This research explores challenges in developing privacy-preserving information networks and services (PPNs). Next generation healthcare information systems and applications, such as personalized and predictive medicine, need PPNs for privacy-preserving information sharing and dissemination among independent healthcare providers, enabling information access over distributed access controlled content, while safeguarding personal health information and medical privacy of individuals from unauthorized disclosures.The intellectual merits of this research include the development of: (1) privacy-preserving search capabilities over distributed access controlled content, a critical functionality for PPNs; (2) a suite of utility-aware data anonymization services, preserving the privacy of personal medical information against unauthorized disclosure, at the same time maximizing the data utility for medical service providers; and (3) the PPN architecture and middleware optimized for high availability, scalability and failure recovery.The broad impact is two-fold. First, this research will create better and broader understanding of the challenges and functional requirements for building the next generation of privacy preserving networked information systems over distributed access controlled content. A domain-specific proof-of-concept prototype on top of the PPN core will be developed for discovering and analyzing risk factors for resistant bacterial infections. These real-world studies will be conducted in collaboration with Morehouse School of Medicine and Children's Healthcare of Atlanta, and be use as both a driver and a testbed for this research. Second, this research will demonstrate that the PPN is an enabling infrastructure for real-time, continuous and on demand data analysis over massively-distributed and privately-shared data repositories.

这项研究探讨了开发隐私信息网络和服务（PPN）方面的挑战。下一代医疗保健信息系统和应用程序（例如个性化和预测医学）需要PPN，以保护独立的医疗保健提供者之间的信息共享和传播信息，从而使信息访问到分布式访问控制的内容上，同时，保护个人的个人健康信息和医疗隐私范围，从而使不授权的搜索范围进行宣传。内容，PPN的关键功能； （2）一套公用事业感知的数据匿名服务，保存个人医疗信息的隐私，以避免未经授权的披露，同时最大化医疗服务提供商的数据实用性； （3）针对高可用性，可伸缩性和故障恢复进行了优化的PPN体系结构和中间件。广泛的影响是两倍。首先，这项研究将对在分布式访问控制的内容上建立下一代隐私信息系统的挑战和功能要求有更好的了解。将开发出PPN核心上的特定领域特异性概念验证原型，以发现和分析抗性细菌感染的危险因素。这些实际研究将与亚特兰大的莫尔豪斯医学院和儿童医疗保健一起进行，并既可以用作驾驶员又是这项研究的测试台。其次，这项研究将表明，PPN是实时，连续和需求数据分析的基础架构，对大规模分布和私人共享的数据存储库。