Cloud-Native Integration for a Healthcare Network
14
Hospital systems integrated
9 months
Total integration timeline
0
Data loss incidents
The Challenge
A regional healthcare network had grown through acquisition to include 14 hospital systems across two states. Each system ran its own EHR, billing platform, and clinical data infrastructure. There was no unified patient record. No consolidated reporting. No shared identity layer.
The network had attempted integration twice before. Both efforts had stalled — once in the vendor selection phase, once after an 18-month implementation that produced partial connectivity and significant technical debt.
The challenge was not just technical. It was political. Each hospital system had its own IT leadership, its own vendor relationships, and its own definition of patient data. Any integration approach had to work within that constraint.
Our Approach
We used the EAG Integration Platform architecture as the foundation — a cloud-native integration layer that sits above the existing systems rather than replacing them. This meant each hospital system could retain its existing EHR and billing infrastructure while connecting to a shared integration layer.
The integration approach was event-driven. Rather than batch synchronization — which had caused data consistency problems in the previous attempts — we designed a real-time event stream that propagated changes across systems as they happened. Each system emitted events. The integration layer normalized them. Downstream systems consumed the normalized events.
We sequenced the integration by hospital system, starting with the two largest. Each integration was validated before the next began. The validation framework included automated data quality checks, manual clinical validation, and a rollback procedure that could be executed in under four hours.
We also designed and ran the change management program — working with IT leadership at each hospital to manage the transition and address concerns before they became blockers.
The Outcome
All 14 hospital systems were integrated in nine months. Zero data loss incidents occurred during the integration. The network now has a unified patient record, consolidated reporting across all systems, and a shared identity layer that supports network-wide analytics and AI initiatives.
The integration platform is now the foundation for the network’s AI transformation roadmap — providing the unified data layer that the next generation of clinical AI tools requires.
The change management program achieved 100% adoption at all 14 systems within 90 days of each integration going live.