Computational Health Platform
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.
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.
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.
The YNHH Research Virtual Desktop Infrastructure (VDI) allows remote access to a YNHHS secure desktop from any device, anywhere without using the YNHHS VPN.