论文标题
VaultDB：临床研究网络中安全多方计算的现实世界飞行员
VaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research Network
论文作者
论文摘要
电子健康记录代表了研究的丰富而越来越多的研究来源。隐私，监管和机构问题限制了共享此数据的速度和易用性。 VaultDB是一个框架，用于通过两个或多个来源对私人数据进行安全计算SQL查询。它使用安全的多方计算来评估查询：评估函数的加密协议，从而从运行中揭示的唯一信息是查询答案。我们描述了芝加哥地区患者中心成果研究网络（摩ri座）中符合HIPAA版本的VaultDB的开发。这个多机构的临床研究网络涵盖了芝加哥大都市地区数百家诊所和医院的近1300万名患者的电子健康记录。我们在该网络中部署三个卫生系统中部署的结果显示了其效率和可扩展性，用于分布式临床研究分析，而无需将患者记录从其原产地移动。
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.
