Cloud-Based Healthcare Delivery Platform Case Study

This case study presents a cloud-based healthcare delivery platform designed for a major healthcare provider in the US. It outlines the transformation in healthcare and life sciences through the integration of AI technologies and cloud computing. The document details the cloud-native edge platform system modernization, which includes engineering design and delivery services for AI workloads specific to medical modalities. It describes the on-demand hybrid cloud scaling that supports third-party AI processing of DICOM medical images. The solution incorporates an AI processing platform utilizing Kubernetes-as-a-Service for efficient workload scheduling and resiliency. Furthermore, it emphasizes the establishment of observability across workloads and the provision of an API-first hybrid cloud management platform for seamless workload migration. The approach also highlights the implementation of a shift-left security model, automating risk scoring and enforcing policy-as-code. The benefits include improved patient outcomes, rapid diagnostics, and enhanced observability across services.