Case Study
Behavioral Health Technology Company Scales HIPAA-Aligned AI and Analytics with an AWS Migration
Solutions
Industry
About the Customer
The customer is a healthcare technology company that serves behavioral health organizations, including mental health, substance use, and community-based care providers. It pairs an electronic health record (EHR) platform with outsourced billing services, so its clients can manage clinical documentation, care coordination, and claims in one place. Because its platform handles protected health information and supports clients’ revenue cycles, security, HIPAA compliance, and reliable performance are central to its business.
Challenge
Our Customer’s Key Business Objectives
The company provides reliable electronic medical records (EMR), billing, and compliance management. To improve data accessibility, provider productivity, and long-term scalability, it set out to modernize its operational foundation.
Their key goals included:
Key Amazon Web Services Used
- Amazon Elastic Kubernetes Service (EKS)
- Amazon Elastic Compute Cloud (EC2)
- Amazon Relational Database Service (RDS) for MariaDB
- AWS Database Migration Service (DMS) with CDC
- Amazon Simple Storage Service (S3)
- Amazon QuickSight Enterprise
- Amazon Bedrock (Nova Pro)
- AWS Lambda
- Amazon API Gateway
- Amazon Virtual Private Cloud (VPC)
- Amazon Route 53
- AWS Identity and Access Management (IAM)
- AWS CloudTrail
- Amazon CloudWatch
Third-Party Tools
- Kubernetes (source environment on DigitalOcean)
- MariaDB
- Ruby on Rails
- Ancillary clinical services (form writer, ePrescription, HL7 messaging)
Solution
How Cloudelligent Accelerated the Customer’s Objectives
Cloudelligent designed and implemented a secure, automated, and cloud-native foundation for the company, moving its legacy DigitalOcean environment to a highly resilient, elastic, and AI-powered multi-service architecture on AWS.
1
Managed Infrastructure Migration and Landing Zone Isolation
Cloudelligent ran Migration Readiness Assessment (MRA) workshops and infrastructure discovery across Kubernetes, MariaDB, and the reporting servers, delivering a 7Rs migration analysis, target architecture diagrams, a tagging governance framework, and a TCO and business case. A managed landing zone built on Amazon EKS and Amazon VPC replaced the unmanaged 100-node Kubernetes environment on DigitalOcean. About 160 applications were staged for migration using automated blue-green deployments and Amazon Route 53 DNS cutover with built-in rollback. Four legacy Ubuntu reporting servers and proxy systems moved to Amazon EC2 with secured network routing.
2
High-Availability Database Modernization and Secure Replication
With the compute layer established, the core storage tier was modernized by replacing DigitalOcean database pairs with a highly available Amazon RDS for MariaDB Multi-AZ configuration. AWS Database Migration Service (DMS) with Change Data Capture (CDC) kept data in continuous live sync for a near-zero-downtime cutover. Roughly 60 non-essential databases were retired before the move. The remaining 2.5 TB production dataset was secured for HIPAA alignment with encryption at rest and in transit, plus centralized audit logging through AWS CloudTrail and Amazon CloudWatch.
3
Centralized AI Analytics and Semantic Data Governance
To eliminate reporting bottlenecks and administrative burdens, Cloudelligent built a centralized business intelligence platform on Amazon QuickSight Enterprise. A 9-sheet dashboard tracks billing, revenue cycle, appointments, program performance, and population health, connected directly to production RDS instances through SPICE in the us-west-2 and us-east-1 regions. A custom semantic layer with business synonyms and tenant-level row-level security lets non-technical staff access data securely. Clinical and administrative users now leverage Q Topics for natural-language querying and embedded dashboard views without requiring manual SQL expertise.
4
Document Intelligence and Serverless RAG Automation
With the data foundation in place, Cloudelligent built an automated Retrieval-Augmented Generation (RAG) pipeline on Amazon Bedrock and Amazon S3, designed to scale to the company’s 9-million-document archive. Serverless workflows using AWS Lambda and Amazon API Gateway unzip clinical files and generate structural metadata, then ingest documents into an Amazon Nova Pro knowledge base. A Bedrock Agent with session memory and strict metadata filtering isolates records by client and encounter. The pipeline is exposed directly to the core Ruby on Rails application, replacing manual clinical history lookups with automated summaries.
Results & Benefits
The Value of Our Cloud-Native Solutions
Cloudelligent helped the customer replace its legacy hosting footprint and eliminate traditional data reporting bottlenecks. We helped establish a secure, fully funded foundation for self-service analytics and AI document intelligence.
Key outcomes include:
Low-Risk Database Migration
Behavioral health providers kept documenting care and submitting claims throughout the migration. The company upgraded the platform behind its product without asking clients to pause their work.
Modernized, Scalable Cloud Infrastructure
With a database footprint roughly 80% smaller and hosting managed for them, engineers spend less time on maintenance and more time building what clients ask for. The company can now add clients without adding upkeep.
Self-Service Analytics and AI-Powered Document Intelligence
Clinical and administrative staff can now get answers from the company’s data on their own, in plain language, without waiting on the technical team for custom reports. AI-powered document search is next: early testing on 5,105 real clinical documents produced accurate answers to patient questions, with each client’s records kept separate.
Measurable Provider Time and Productivity Gains
Billing, operations, and clinical leaders answer their own questions instead of waiting on the technical team. Clinicians are on track to get back 15–30 minutes per patient now, previously spent on manual chart reviews.
HIPAA-Aligned Security and Compliance
The AWS architecture was engineered to meet rigid healthcare frameworks under an active Business Associate Addendum (BAA). Patient data is protected to HIPAA standards with a complete audit trail, providing the company with a compliant, audit-ready ecosystem.
Strategic Funding Optimization
To maximize financial efficiency, the migration utilized approved AWS Migration Acceleration Program funding to offset transition costs. This strategy minimized upfront capital expenditure while strategically positioning the infrastructure for future funding rounds earmarked for a data lake and advanced AI.
Why Amazon Web Services?
Why Cloudelligent?
Cloudelligent is an AWS Premier Tier Services Partner that helps businesses architect, build, migrate, and manage their workloads to accelerate their journey to the agile cloud. We support organizations to achieve the desired outcomes and reach new emerging global markets with a diverse team of AWS-Certified Solution Architects and Engineers.
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