Related Experiment Video
Updated: Jan 28, 2026

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Design and Implementation of a Secure Computing Environment for Analysis of Sensitive Data at an Academic Medical
Peter R Oxley1,2, John Ruffing2,3, Thomas R Campion2,4,5
1Samuel J. Wood Library, Weill Cornell Medicine, New York, NY.
Abstract:
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.
Related Concept Videos
Design Example: Traverse Angle Computations
Design Example: Setting a Curve Using Design Data
Analysis of Population Pharmacokinetic Data
Lattice Centering and Coordination Number
Types of Unit Cells
Imagine taking a large number of identical...
Group Design
Nursing Implementation
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.

