How We Leveraged AWS to Build a Cloud-Native EHR for Post-Acute Healthcare

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Case Study

How We Leveraged AWS to Build a Cloud-Native EHR for Post-Acute Healthcare

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Case Study

How We Leveraged AWS to Build a Cloud-Native EHR for Post-Acute Healthcare

Enter your email to
access the full case study

Connect with Us

We'd love to brainstorm your priority tech initiatives and contribute to the best outcomes.

From Monolith to Modern EHR: A Case Study in Post-Acute Care Platform Transformation

One-liner summary:

Ideas2IT rebuilt a monolithic EHR into a scalable, microservices-based system on AWS, unlocking 90% faster performance, 220% better reporting, and 28% lower operational costs.

The Problem with the Status Quo

A leading post-acute care EHR provider was constrained by a legacy application that couldn’t scale with demand or enable modern clinical workflows. Ideas2IT re-architected the entire platform on AWS, using a microservices-based architecture, real-time pipelines, and intelligent caching. Results: 90% boost in performance, 220% improvement in reporting speed, and 28% infrastructure cost savings, while staying HIPAA-compliant and highly available.

Where the Gaps Were

Even as the client led in the home and hospice care space, their legacy EHR system was becoming a liability:

Performance slowed under growing user loads
Reporting pipelines choked analytics queries on production databases
Feature development stalled due to the monolithic codebase
Infrastructure costs ballooned without fault tolerance or auto-scaling
Compliance risks mounted as systems aged

Innovation was bottlenecked by architecture.

What We Delivered

Ideas2IT modernized the platform into a fully cloud-native system hosted on AWS. Key architecture shifts included:

Monolith → Microservices: Migrated to a microservices-based architecture using AWS App Mesh for service discovery and communication
Real-Time Pipelines: Introduced Amazon SQS and Kinesis for backpressure-safe async processing and streaming
Decoupled Analytics: Built a Change Data Capture (CDC) pipeline using Kinesis to power analytics without querying transactional stores
High-Performance Caching: Integrated ElastiCache to reduce DB load and enhance responsiveness
Resilient Infra: Set up multi-region, multi-zone deployments for fault tolerance, geo-redundancy, and latency optimization
‍Security + Compliance: HIPAA and SOC2 controls were embedded into every layer of the system

Outcomes We Achieved

90% Faster Performance
Service mesh and caching reduced latency and improved user experience system-wide.

220% Improvement in Reporting Speed
CDC-based data warehouse enabled fast, decoupled reporting.

28% Lower Infrastructure Costs
Auto-scaling, modular deployments, and resource right-sizing cut spend.

Compliance-First Design
HIPAA, SOC2, and security policies were baked in from the ground up.

Key Lessons

Monoliths stall momentum. Innovation speed hinges on architectural flexibility.
Analytics shouldn’t burden transactions. Decoupling reporting boosts scale and reliability.
Modern infra is cheaper, if done right. Microservices + AWS primitives = cost control.
‍Compliance is not a checklist. It must be designed into the architecture from Day 1.

Key Takeaways

For post-acute care innovators, platform performance is mission-critical. We helped this provider future-proof their EHR by turning a brittle monolith into a scalable, secure, and cost-efficient cloud-native platform. Now, they’re positioned to lead with speed and resilience.