Design and Implementation of a Secure Computing Environment for Analysis of Sensitive Data at an Academic Medical Center Academic Article uri icon


MeSH Major

  • Continuity of Patient Care
  • Databases as Topic
  • Hospital Information Systems


  • 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.

publication date

  • January 2018



  • Academic Article



  • eng

PubMed Central ID

  • PMC6371349

PubMed ID

  • 30815128

Additional Document Info

start page

  • 857

end page

  • 866


  • 2018