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Cloud Migration and Modernization of Medical Device Monitoring Platform

sigma.software

Medical

Information technology

Current Platform Limitations

Legacy on-premises infrastructure struggles with scalability and slow data processing speeds, hindering real-time monitoring of 100,000+ CT scanners worldwide. Inefficient analytics pipelines delay device performance insights and maintenance planning.

About the Client

Global leader in medical technology requiring scalable cloud solutions for device monitoring and analytics

Strategic Modernization Goals

Migrate device monitoring platform to Azure Cloud for elastic scalability
Implement real-time analytics for CT scanner performance monitoring
Establish agile development practices across multi-vendor teams
Integrate self-service BI capabilities with Power BI and Qlik
Optimize data processing costs through Databricks Lakehouse architecture

Core System Capabilities

Real-time ETL pipelines for device telemetry data
Interactive BI dashboards for failure pattern detection
Self-service data aggregation with Microsoft ODBC integration
Automated alerting for device maintenance needs
Multi-tenant data architecture with role-based access control

Technology Stack

Microsoft Azure Cloud

Databricks Lakehouse Platform

Apache Spark

Power BI

Qlik Sense

Structured Streaming

System Integrations

Existing CT scanner telemetry systems
Power BI analytics applications
Qlik visualization dashboards
Microsoft ODBC data connectors
Azure Active Directory for authentication

Operational Requirements

99.95% system availability SLA
Real-time processing latency <200ms
HIPAA-compliant data handling
Horizontal scaling to 1M+ devices
Automated disaster recovery in Azure regions

Business Transformation Outcomes

Enables 3x faster device issue detection through real-time analytics, reduces infrastructure costs by 40% via cloud optimization, and supports 10x scalability for global CT scanner monitoring. Agile implementation reduces feature delivery time by 60% while maintaining medical data compliance.