In healthcare, precision is everything. Yet many diagnostic systems still struggle to assess disease risks effectively while staying compliant with strict data privacy standards.
For a leading genetic testing company, the challenge lay in developing a solution that could securely process sensitive health data, scale seamlessly, and provide a user-friendly interface for both clinicians and patients.
Manual workflows slowed operations and increased the risk of errors. As data volumes grew, maintaining HIPAA compliance without compromising speed became critical.
The organization needed a secure, cloud-based platform that could automate risk calculations, integrate with existing EHR systems, and educate patients through a reliable, accessible interface.
Coditas reimagined how cancer risk assessments are delivered by building a secure, cloud-native platform entirely on AWS. The goal was not only to meet HIPAA requirements but to create an architecture that could scale effortlessly, automate workflows, and give clinicians and patients reliable access to critical insights in real time.
Core Architecture
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Amazon EC2 hosts backend microservices managed through a Network Load Balancer, maintaining consistent uptime and high performance.
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Amazon API Gateway manages all API interactions securely, while AWS Lambda automates event-driven processes such as notifications and PDF generation.
Frontend and Data Layer
- The Angular-based frontend is hosted on Amazon S3 and distributed through Amazon CloudFront, ensuring low-latency access worldwide.
- Patient records are stored in Amazon RDS, with encryption and multi-zone replication to meet HIPAA compliance.
- Amazon CloudWatch, OpenSearch, and Logstash deliver real-time observability and alerting across all layers.
Security and Integration
- AWS WAF protects the system from malicious traffic, filtering threats such as SQL injections and bot attacks.
- Mirth Connect ensures seamless interoperability with EHR systems, maintaining consistency in clinical data.
- DataSunrise enforces data masking to keep sensitive information protected during processing.
Automation and Delivery
- Jenkins drives continuous integration and deployment, enabling faster testing cycles and dependable releases.
Together, these AWS-native services created a resilient, compliant, and high-performing platform that transformed how clinicians assess genetic risk and communicate with patients.
Before implementation, clinical teams relied on disconnected tools and manual reviews, limiting insight and responsiveness. Following deployment, the platform demonstrated measurable improvements in efficiency, cost, and reliability.
- 60% reduction in manual effort
→ Automated workflows replaced repetitive data processing tasks. - 64% improvement in productivity
→ Infrastructure automation and proactive monitoring optimized operations. - 30% lower operational costs
→ Elastic scaling through EC2 and CloudFront reduced overheads and improved resource utilization. - 99.9% uptime
→ CloudWatch-based alerting and failover mechanisms maintained platform reliability. - Higher patient engagement
→ The redesigned interface improved accessibility and trust in clinical interactions.
We engineered the platform for healthcare-grade precision, incorporating AWS best practices into every decision.
- Built-in compliance, not bolt-on: Every layer from data handling to user access was designed to meet HIPAA standards by default.
- Scalable from day one: The architecture on EC2 and RDS was designed for elastic growth without performance loss.
- Full observability: CloudWatch, OpenSearch, and Logstash provided live metrics, logs, and alerts across services.
- Continuous delivery done right: Jenkins pipelines automated testing, deployment, and rollback for predictable releases.
- Secure by design: WAF, API Gateway, and DataSunrise worked together to safeguard every data flow.
- Aligned teams, faster outcomes: Engineering, DevOps, and QA collaborated in a single delivery rhythm, keeping execution lean and consistent.
The outcome is a compliant, high-performing platform that scales confidently and sets a new standard for data security and operational reliability in healthcare.
Compliance wasn’t an afterthought. It was the blueprint.
Let’s architect your next AWS-native healthcare solution the right way.
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