Building a Scalable and Compliant Serverless Backend for Healthcare Data
PCR is a healthcare-focused platform designed to manage ML-PCR datasets through a secure, serverless web and API backend. The solution provides automated data ingestion, validation, transformation, and retrieval via RESTful APIs while ensuring high performance, scalability, and compliance with healthcare standards.
- Serverless RESTful APIs
- Event-driven processing
- Compliance & security
Client Overview
PCR is a healthcare-focused platform designed to manage ML-PCR datasets through a secure, serverless web and API backend. The solution provides automated data ingestion, validation, transformation, and retrieval via RESTful APIs while ensuring high performance, scalability, and compliance with healthcare standards.
Business Challenge
Healthcare organizations needed a reliable backend to process large volumes of PCR test datasets. Challenges included delays and errors in manual dataset processing, lack of a scalable API layer for analytics/reporting integrations, need for secure compliant handling of sensitive healthcare data, and difficulty deploying consistent dev/prod environments.
Complex Quote Forms
Drop-offs due to complex or lengthy online quote forms.
Response Delays
Delays in responding to customer inquiries.
Lead Management
Inefficient lead management and follow-up processes.
Pricing Challenges
Difficulty providing personalized pricing instantly.
Engagement Objectives
Build a secure serverless web and API backend for automated data processing, validation, and transformation with event-driven triggers, notifications, CDK-based environment separation, and least-privilege security.
Build a serverless web and API backend for automated data processing.
Implement schema validation, cleaning, and transformation via APIs.
Provide event-driven triggers for real-time processing on dataset upload.
Deliver notifications and status updates via API endpoints.
Deploy infrastructure using AWS CDK (TypeScript) with dev/prod separation.
Ensure least-privilege security and compliance for healthcare data.
Solution Design
Genclouds engineered a serverless web and API backend using AWS services:
API Layer
Amazon API Gateway exposes RESTful endpoints for dataset ingestion and retrieval.
Event-Driven Processing
S3 upload triggers EventBridge events, invoking Lambda for validation.
Data Transformation
AWS Glue and DataBrew clean, transform, and enrich datasets.
Notifications & Monitoring
SNS alerts notify users of success/failure events.
Infrastructure Management
AWS CDK (TypeScript) provisions consistent dev and prod environments.
Security
IAM roles enforce least-privilege; data encrypted at rest and in transit.
Solution Architecture
Serverless, event-driven architecture for secure, scalable PCR dataset processing.
Platform Architecture
API-driven, event-triggered workflows with secure storage and notifications.
- API Gateway: RESTful endpoints for ingestion, status, and retrieval
- Event Trigger: S3 + EventBridge rules invoke backend Lambda functions
- Validation & Processing: Lambda (schema validation, quality checks)
- ETL & Transformation: AWS Glue + DataBrew workflows
- Storage: S3 buckets (Input, Processed, Final datasets)
- Notifications: SNS (email alerts for success/failure)
- Infrastructure as Code: AWS CDK (TypeScript) for deployment
- Security: IAM least-privilege roles, dev/prod isolation
Results & Outcomes
Automated, scalable, and compliant processing with API-driven access improved quality and efficiency.
Automation: Event-driven backend triggered automatically on dataset upload via API.
Scalability: Serverless architecture handles varying dataset volumes.
Data Quality: Validation APIs stop invalid files early with feedback.
Operational Efficiency: Automated API-driven workflows reduced manual work.
Compliance: Secure handling with least-privilege IAM and encryption.
Integration Ready: API endpoints enable analytics/reporting integrations.
Conclusion
The Serverless Web and API Backend enabled PCR to process healthcare datasets efficiently, securely, and at scale. Leveraging AWS serverless services and CDK for infrastructure, GenClouds delivered an automated, compliant, and highly scalable solution that provides real-time processing, secure data handling, and API-driven access, positioning the client for advanced analytics and ML workflows.