Oxley Peter R, Ruffing John, Campion Thomas R, Wheeler Terrie R, Cole Curtis L
Samuel J. Wood Library, Weill Cornell Medicine, New York, NY.
Information Technologies and Services Department, Weill Cornell Medicine, New York, NY.
AMIA Annu Symp Proc. 2018 Dec 5;2018:857-866. eCollection 2018.
Academic medical centers need to make sensitive data from electronic health records, payer claims, genomic pipelines, and other sources available for analytical and educational purposes while ensuring privacy and security. Although many studies have described warehouses for collecting biomedical data, few studies have described secure computing environments for analysis of sensitive data. This case report describes the Weill Cornell Medicine Data Core with respect to user access, data controls, hardware, software, audit, and financial considerations. In the 2.5 years since launch, the Data Core has supported more than 200 faculty, staff, and students across nearly 60 research and education projects. Other institutions may benefit from adopting elements of the approach, including tools available on Github, for balancing access with privacy and security.
学术医疗中心需要提供来自电子健康记录、支付方理赔数据、基因组流程及其他来源的敏感数据，用于分析和教育目的，同时确保隐私和安全。尽管许多研究描述了用于收集生物医学数据的仓库，但很少有研究描述用于分析敏感数据的安全计算环境。本病例报告介绍了威尔康奈尔医学院数据核心在用户访问、数据控制、硬件、软件、审计和财务考量方面的情况。自启动以来的2.5年里，数据核心已支持了近60个研究和教育项目中的200多名教职员工和学生。其他机构可能会从采用该方法的要素（包括Github上可用的工具）中受益，以平衡访问与隐私及安全之间的关系。
