Transforming Healthcare Operations with a Phased AWS Migration
We migrated a multi-site regional healthcare provider off constrained on-premises infrastructure onto a resilient, compliant AWS foundation that scales with patient demand.
Results at a glance
The situation
A regional healthcare organization running multi-site operations was outgrowing its on-premises infrastructure just as patient populations expanded. Compute limits produced clinical system slowdowns during peak volumes, and legacy hardware carried a heavy total cost of ownership through recurring upgrades, licensing renewals, and manual maintenance. Data-access latency delayed EHR and diagnostic workflows, while managing sensitive patient data in aging systems made compliance increasingly complex. Rigid infrastructure also blocked adoption of emerging capabilities such as AI-driven diagnostics.
Modernize the core infrastructure without disrupting clinical operations, giving the organization elastic capacity for patient-volume spikes, faster access to clinical data, and a stronger security and compliance posture. The migration had to reduce long-term operating cost and open a path to future innovation.
How we delivered
Modernize the database tier on Amazon RDS
Migrated core clinical databases to Amazon RDS with automated backups and Multi-AZ deployment, removing manual maintenance overhead and delivering high availability for patient-critical systems.
Centralize and secure access through Amazon API Gateway
Introduced Amazon API Gateway as a managed, scalable entry point for internal applications and third-party integrations, standardizing secure access to clinical services.
Consolidate data storage on Amazon S3
Moved structured and unstructured data to Amazon S3 with lifecycle policies that tier and retire data automatically, controlling storage cost while keeping records available.
Accelerate delivery with Amazon CloudFront
Deployed Amazon CloudFront as a content delivery network to cut data-access latency and improve responsiveness of clinical and administrative applications across sites.
Unify identity with Amazon Cognito
Implemented Amazon Cognito for secure single sign-on across applications, simplifying clinician access while tightening authentication controls over sensitive data.
Migrate in phases to protect clinical continuity
Sequenced the cutover workload by workload, validating each tier before advancing so care delivery continued uninterrupted throughout the transition.
The technical solution
A block-level view of the system we designed and delivered — data and control flowing across each stage.
What the users see
A wireframe of the experience we shipped — laid out for the people who use it every day.
A cloud foundation built to scale and stay secure
From edge to data tier, we design layered, observable architectures with security and compliance engineered in — deployable to AWS, Azure, or GCP as single-cloud, multi-cloud, or hybrid.
Modernize the core without the big-bang risk
A 'sidecar' approach wraps your legacy core with APIs and stands up new cloud-native services alongside it — so you migrate progressively, not all at once.
Outcomes delivered
- The platform absorbs increased patient volumes without the performance degradation that previously hit on-premises systems at peak.
- Clinical application response times improved, giving care teams faster access to EHR and diagnostic data.
- Reduced infrastructure maintenance effort and hardware dependencies lowered the total cost of ownership.
- A managed, identity-driven architecture strengthened the organization's security and compliance posture over sensitive patient data.
- Clinician productivity rose as unified sign-on and responsive applications removed day-to-day friction.
Technology stack
The platforms, frameworks, and standards behind the solution.
Cloud Platform
Data & Storage
Access & Delivery
Identity & Security
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