Transforming Business Operations through AWS-Powered AI/ML
A serverless web and API backend designed to manage ML-PCR datasets with automated data ingestion, validation, transformation, and retrieval via RESTful APIs.
- 40% faster processing
- Healthcare compliance AI/ML
- Serverless scalability AI/ML
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. PCR is a global leader in healthcare technology, with a focus on improving patient care and outcomes.
Business Challenge
Healthcare organizations needed a reliable backend to process large volumes of PCR test datasets, requiring secure, compliant handling of sensitive healthcare data and scalable API integration with analytics tools.
Manual Processing Delays
Delays and errors in manual dataset processing.
API Integration Gaps
Lack of a scalable API layer for integration with analytics or reporting tools.
Security & Compliance
Need for secure, compliant handling of sensitive healthcare data.
Environment Consistency
Difficulty in deploying consistent environments for development and production.
Engagement Objectives
The engagement focused on building a comprehensive serverless solution for automated healthcare data processing with secure API endpoints and compliance-ready infrastructure.
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 environment separation.
Ensure least-privilege security and compliance for healthcare data.
Solution Design
GenClouds engineered a serverless web and API backend using AWS services with event-driven processing, data transformation, and infrastructure as code deployment.
API Layer
Amazon API Gateway exposes RESTful endpoints for dataset ingestion and retrieval.
Event-Driven Processing
S3 upload triggers EventBridge events, invoking Lambda functions for validation.
Data Transformation
AWS Glue and DataBrew clean, transform, and enrich datasets.
Notifications & Monitoring
SNS alerts notify users of success or failure events.
Infrastructure Management
AWS CDK (TypeScript) provisions consistent dev and prod environments.
Security
IAM roles enforce least-privilege access; data encrypted at rest and in transit.
Solution Architecture
The architecture demonstrates a complete serverless data processing pipeline from API ingestion through event-driven validation to automated transformation and notification workflows.
Serverless Healthcare Data Pipeline
The architecture demonstrates the complete data flow from API Gateway through event-driven processing to automated transformation and notification systems.
- 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
The Serverless Web and API Backend enabled PCR to process healthcare datasets efficiently, securely, and at scale with automated workflows and compliance-ready infrastructure.
Automation: Event-driven backend triggered automatically on dataset upload via API.
Scalability: Serverless architecture handles varying dataset volumes without performance degradation.
Data Quality: Validation APIs stop invalid files early and provide detailed feedback.
Operational Efficiency: Reduced manual processing with automated API-driven workflows.
Compliance: Secure data handling with least-privilege IAM roles and encryption.
Integration Ready: API endpoints enable seamless integration with analytics and reporting tools.
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.