Case Study

Cloud-based Interoperability Hub

6 weeks to onboard a new endpoint. 300% data surges with no plan. Something had to give.

The Situation

A prominent EMR provider was operating a fragmented data exchange environment — siloed data flows, incompatible protocols, high maintenance overhead, and no scalable mechanism for connecting new providers, labs, payers, and pharmacies. Onboarding a single new endpoint took six weeks. Care coordination delays were growing. And administrative burden was compounding with every new connection added to the ecosystem.

 

The underlying infrastructure simply wasn’t designed for the data volumes and integration complexity the platform now needed to support. 

What We Built

Mirth Connect on AWS

Deployed Mirth Connect on AWS as the core integration engine — handling HL7, FHIR, CCDA, DICOM, and EDI routing and transformation across the full ecosystem in a single, unified platform.  

Kubernetes-Based Scalable

Deployment Leveraged managed Kubernetes (EKS) for scalable containerized deployment with CI/CD pipelines and centralized observability — built to handle traffic surges without manual intervention or performance degradation.                                                                                                                                                                                                      

Automated Endpoint Onboarding

Redesigned the endpoint onboarding process to reduce new connection time from 6 weeks to 4 days — with automated configuration, testing, and validation built into the pipeline rather than managed manually.

4 days — Endpoint Onboarding
Down from 6 weeks per new connection
300% — Surge Capacity
Data volume spike handled without degradation
99% — Reliability
Transaction success rate with automated retries

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Is your integration infrastructure keeping up with your data environment?

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