The Computational Health Platform (CHP), deployed at Yale New Haven Health System (YNHHS), is a sophisticated system crafted to augment healthcare research and the analysis of clinical data.
Computational Resources
In collaboration with Yale Health Sciences IT (HSIT) and the Yale New Haven Health System (YNHHS), YBIC provides a range of computational infrastructures, platforms, and services. For clinical studies involving Protected Health Information (PHI), there are two pre-approved platforms at YNHHS: the YNHHS High Performance Computing Cluster and Computational Health Platform (CHP) for large-scale data analysis, imaging data, and AI research, and Virtual Desktop Infrastructure (VDI) for studies utilizing traditional statistical analysis tools. For projects utilizing de-identified clinical data that does not include patient images or text, we also support for Spinup at YU, a self-service, AWS-based cloud environment that enables rapid configuration of computational needs. Additionally, we are developing the managed Spinup+ service, aimed at fully adhering to stringent information security standards including NIST 800-171 and HIPAA compliance.
YNHHS Hosted Resources
Yale Hosted Resources
SpinupPlus SpinupPlus is a private Yale cloud service of Amazon Web Services (AWS) that provides a secure, scalable, maintainable environment for researchers.
Hopper High-performance computing with sensitive data, including electronic Protected Health Information (ePHI), NIH Controlled-Access Data, and Controlled Unclassified Information (CUI). It provides both standard computing resources and GPU-enabled nodes and features an encrypted shared filesystem, supporting large-scale and intensive computational tasks for research projects.