VaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research Network
VaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research Network
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VaultDB：临床研究网络中安全多方计算的现实试点
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Abel Kho
中科院分区：
文献类型：
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作者：
Jennie Duggan;Elizabeth Adetoro;Johes Bater;Talia Canter;Dong Fu;A. Hamilton;Amro Hassan;Ashley Martinez;Erick Michalski;Vesna Mitrovic;Fred D. Rachman;Raj C. Shah;Matt Sterling;Kyra VanDoren;Theresa L. Walunas;Xiao Wang;Abel Kho
电子健康记录代表了用于研究的临床数据的丰富且不断增长的来源。隐私、监管和制度问题限制了共享这些数据的速度和便利性。VaultDB是一个框架，用于安全地计算来自两个或多个源的私有数据的SQL查询。它使用安全多方计算来评估查询：加密协议评估函数，使得运行它所揭示的唯一信息是查询答案。我们描述了一个符合HIPAA的VaultDB版本的芝加哥地区以患者为中心的结果研究网络（CAPriCORN）的发展。这个多机构临床研究网络覆盖了芝加哥大都市区数百家诊所和医院近1300万患者的电子健康记录。我们在该网络中的三个卫生系统中部署的结果显示了其分布式临床研究分析的效率和可扩展性，而无需将患者记录从其原始站点移动。
Electronic health records represent a rich and growing source of clinical data for research. Privacy, regulatory, and institutional concerns limit the speed and ease of sharing this data. VaultDB is a framework for securely computing SQL queries over private data from two or more sources. It evaluates queries using secure multiparty computation: cryptographic protocols that evaluate a function such that the only information revealed from running it is the query answer. We describe the development of a HIPAA-compliant version of VaultDB on the Chicago Area Patient Centered Outcomes Research Network (CAPriCORN). This multi-institutional clinical research network spans the electronic health records of nearly 13M patients over hundreds of clinics and hospitals in the Chicago metropolitan area. Our results from deploying at three health systems within this network show its efficiency and scalability for distributed clinical research analyses without moving patient records from their site of origin.
使用隐私保护记录链接软件加入医疗保健和无家可归者数据系统。
影响因子：
12.7
作者：
Trick,WilliamE;Hill,JenniferC;Toepfer,Peter;Rachman,Fred;Horwitz,Beth;Kho,Abel
通讯作者：
Kho,Abel