Client Background
Enterprise Imaging Network is the cloud native solutions and software on Google Cloud Platform (GCP). Built from the ground up to exploit the flexible nature of cloud services and delivery, the network will enhance and optimize medical imaging data––enabling providers to improve clinical, financial, and operational outcomes
Client Need
Cost Pressures: Lower capital/overall budgets, do more with less, few options for savings, reduced reimbursement
Regulations: Stringent regulations, mandates to archive, mandates to share data, various retention policies, auditing challenges
Security Risks: Data breach risks, IT teams challenged, increased attacks, increased threats, expensive liability
Innovation: AI & Machine Learning, pressure to increase value, competition, challenge to keep-up, looking to vendors
Solution
The GCP Architecture is designed to host many different applications that are composed of multiple services. The services are deployed and run environments that are hosted on Kubernetes clusters and, optionally, stand-alone VMs(e.g. NoSQL database cluster)
CI/CD pipelines that are executed from the Jenkins server. In Production, only CD pipelines are executed from the Jenkins server while Non-Production includes build workflows as part of the CI pipelines
All services are built on GCP with microservice architecture implemented in C# using .NET Core
Cloud operation team uses Grafana, GCP Stackdriver to monitor the system and notify the incident via PageDuty
Realized Benefits
Managed imaging volume of over 1.16B studies, 230M patients, 1TB Data, 96B Images, 96M studies per year , 25% of U.S. hospitals, 3,300+ imaging facilities globally, 100+ multi-hospital systems
Cloud-native enterprise imaging service is the only solution designed for the era of big data and AI. Our platform unlocks data as an asset, reduces IT costs, and simplifies Enterprise Imaging to improve care delivery
Tools & Technologies
Google Cloud Platform
Dev Ops
Visual Studio Team Foundation Server
Kubernetes
HashiCorp Tettaform
Jenkins
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