Transforming diagnostic healthcare with a cloud-native, serverless LIMS managing 1M+ users and 10M+ transactions.
Tech Stack
Next.js 14
React Native (iOS & Android)
AWS Lambda (Node.js/TypeScript)
Amazon DynamoDB
AWS AppSync (GraphQL)
AWS CDK (Infrastructure as Code)
Case Study: Enterprise-Scale Serverless LIMS Platform
Transforming Diagnostic Healthcare with Cloud-Native Innovation
Data-Driven Diagnostics
A rapidly growing diagnostic service provider faced a critical challenge: their existing infrastructure could not keep pace with their expansion. They needed a system capable of managing complex multi-hospital workflows, real-time sample tracking, and massive patient data volumes while maintaining strict HIPAA compliance and zero downtime.
The Challenge:
- Fragmented Workflows: Disconnected systems for hospitals, labs, phlebotomists, and patients.
- Scalability Bottlenecks: Traditional architectures failing under peak loads (e.g., morning sample collection windows).
- Data Integrity: Need for fool-proof sample tracking from collection to report generation.
- Operational Blindspots: Lack of real-time visibility into field operations and lab capacity.
The OrbitNexa Solution
OrbitNexa engineered Enterprise LIMS, a ground-up, cloud-native ecosystem designed for infinite scale. Moving away from monolithic legacy software, we adopted a Serverless First architecture on AWS, ensuring that infrastructure scales automatically with patient demand—pay-per-use, zero idle cost, and maximum reliability.
1. Unified Digital Ecosystem
We didn't just build a "website"; we built a synchronized platform comprising four distinct interfaces:
- Central Command Center (Web): A powerful Next.js dashboard for lab admins to manage 100+ branches, accessions, and QC workflows.
- Consumer App: Uber-like experience for patients to book tests, track phlebotomists, and download reports.
- Phlebo App: A dedicated field-force app with offline capabilities, route optimization, and real-time sample barcoding.
- Hospital Portal: B2B interface for partner hospitals to bulk-upload samples and track results instantly.
2. Innovative "Offline-First" Mobility
Understanding that field technicians often work in low-network areas, we engineered the Phlebo App with an offline-first Sync Engine (using SQLite). Data is cached locally and synchronized intelligently when connectivity is restored, ensuring zero data loss and uninterrupted operations.
3. Real-Time Event Driven Architecture
We moved beyond traditional polling. The system uses AWS EventBridge and AppSync (GraphQL) to create a reactive system:
- Patient books a test → Phlebotomist notified instantly
- Sample reaches lab → Status updated on Patient App immediately
- Report generated → Automated SMS/Email & WhatsApp triggered
️ High-Level Technical Approach
Architecture: Serverless Microservices
- Compute: AWS Lambda functions for infinite scaling and isolated execution of business logic.
- Database: Amazon DynamoDB (Single Table Design) for single-digit millisecond latency even at millions of records.
- API Layer: AWS AppSync (GraphQL) for real-time data subscriptions and API Gateway for secure third-party integrations.
- Workflows: AWS Step Functions to orchestrate complex, long-running processes (e.g., sample testing lifecycles) with built-in error handling.
Security & Compliance:
- Identity: Amazon Cognito for secure, role-based access control (RBAC) managing 7+ distinct user roles (SuperAdmin to Patient).
- Data Safety: End-to-end encryption (at rest and in transit) with strict VPC isolation to meet HIPAA standards.
Business Impact
- Zero Infrastructure Management: No servers to patch or manage, allowing the client to focus entirely on diagnostics.
- 360° Visibility: Real-time dashboards provide operational teams with live tracking of every single sample in the network.
- Seamless Scalability: Architecture ready to handle 10x growth in user base without a single line of code change.
- Enhanced Patient Experience: Reduced turnaround time (TAT) for reports by 30% through automated workflows.
"OrbitNexa didn't just deliver software; they engineered a scalable foundation for our future growth. The transition to a serverless ecosystem has improved our operational efficiency dramatically."