Enterprise Software Engineering

MediCore Hospital Management System

Modernizing a 15-year-old monolithic EHR for a leading UK hospital network without dropping a single patient record.

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Client Background

MediCore Health operates 12 acute care hospitals and 40+ outpatient clinics across the UK, serving over 2 million patients annually. Their legacy Electronic Health Record (EHR) system was built on an outdated Java monolith connected to a single on-premise Oracle database.

The Business Challenge

The legacy system was collapsing under the weight of modern data requirements. Doctors experienced 10-second delays when pulling patient histories, and the system required scheduled downtime every Sunday for maintenance, which severely disrupted emergency room operations.

The Technical Challenge

Migrating 15 years of complex, unstructured patient data (over 4TB) to a new cloud-native schema with zero downtime. Furthermore, the new system had to comply strictly with NHS data governance and GDPR regulations while maintaining real-time interoperability with national lab APIs via HL7 protocols.

Why HintCore

Technology Stack

Frontend

Next.js, React Query, Tailwind CSS

Backend

Go (Golang) microservices, Node.js GraphQL API gateway

Infrastructure

AWS EKS (Kubernetes), PostgreSQL (Aurora), Redis, Kafka

Solution Architecture & Scalability

We implemented the Strangler Fig pattern. A new GraphQL API gateway was placed in front of both the new Go microservices and the legacy Java system. Features were incrementally rewritten and routed to the new infrastructure. To handle the massive read operations during morning ward rounds, we implemented an aggressive Redis caching layer, reducing database load by 80%.

Security & Performance Optimizations

Security was the paramount concern. All data is AES-256 encrypted at rest using AWS KMS, and TLS 1.3 is enforced for all API traffic. We implemented granular Role-Based Access Control (RBAC), ensuring nurses, doctors, and billing staff only see relevant data. Performance was optimized by breaking the React frontend into highly concurrent micro-frontends, ensuring sub-second Time-To-Interactive (TTI) even on older hospital workstations.

Lessons Learned

We discovered that doctors preferred keyboard navigation over mouse clicks. Mid-project, we pivoted our UX strategy to include robust hotkey support, which drastically improved adoption rates during UAT.

Business Outcomes

40%

Reduction in Data Entry Time

99.99%

Uptime Improved To

25%

Cloud Infrastructure Cost Savings

100%

Zero-Downtime Deployments

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