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Cloud-Native Healthcare Analytics Platform for Scalable Medical Data Processing

altoroslabs.com

Medical

Health & Fitness

Telecommunications

Performance Bottlenecks in Medical Data Analytics Platform

The existing platform struggles to process data from 200,000+ sensors within required 5-10 second SLAs, with uncertain scalability potential. Monolithic architecture creates maintenance challenges, while HIPAA compliance requirements demand robust security measures for patient data.

About the Client

Global provider of innovative healthcare solutions specializing in elderly care, chronic disease management, telemedicine, and consumer health technologies.

Key Project Goals

Reduce medical data analysis time from hours to seconds
Ensure horizontal scalability for 10x+ growth in sensor data volume
Implement microservices architecture for improved maintainability
Achieve HIPAA compliance for healthcare data security

Core System Capabilities

High-throughput data ingestion pipeline for IoT sensors
Distributed analytics engine with parallel processing
Microservices-based modular architecture
HIPAA-compliant data encryption and access controls
Automated diagnostic recommendation engine

Technology Stack Requirements

Cloud Foundry PaaS

Apache Spark

Apache Cassandra (DataStax Enterprise)

Node.js

Java/JavaScript

R Language

System Integrations

Health scanner IoT devices
Mobile diagnostic applications
Existing patient management systems
Cloud infrastructure monitoring tools

Operational Requirements

99.99% system availability for critical services
Linear scalability to handle 2M+ daily users
End-to-end data encryption (at rest/in transit)
Real-time health monitoring and auto-scaling
Compliance with healthcare data regulations

Business Impact Projections

Platform will enable real-time medical analysis for 1.5-2 million daily users, reducing diagnostic processing time from hours to seconds. Cloud Foundry implementation accelerates deployment cycles by 80% while microservices architecture supports future feature expansion and global scalability.