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Development of Scalable Diagnostic Data Analytics Platform with Collaborative Ecosystem

digiteum.com

Medical

Information technology

Diagnostic Data Collaboration Challenges

Existing diagnostic testing data was fragmented across global labs with no unified platform for secure stakeholder collaboration. Stakeholders (pharma, labs, researchers) lacked centralized access to structured diagnostic insights and collaborative tools to advance precision medicine initiatives.

About the Client

Global leader in diagnostic data analytics and services with 2500+ labs across 51 countries

Platform Development Goals

Create cloud-native diagnostic data marketplace for precision medicine stakeholders
Implement automated ETL pipeline for unstructured diagnostic data processing
Establish secure data sharing and collaboration environment
Develop advanced analytics and visualization tools for diagnostic insights
Achieve platform launch within 12-month timeframe

Core System Capabilities

Multi-tenant marketplace for diagnostic stakeholders
Automated ETL pipeline for unstructured data processing
Lab mapping and testing dashboard visualization tools
Role-based access control for secure data sharing
Integration with data science tools and third-party services
Real-time collaboration workspace for diagnostic projects

Technology Stack Requirements

AWS cloud infrastructure

Angular 8 frontend framework

Java backend stack

Spring framework

Infrastructure-as-Code (IaC) practices

CI/CD pipelines

System Integration Needs

Data science tools integration
Third-party diagnostic systems interfaces
Security compliance frameworks
Cloud storage services

Operational Requirements

High-availability cloud architecture
Data anonymization and GDPR compliance
Horizontal scalability for 50+ concurrent services
Real-time data processing capabilities
Automated testing and deployment pipelines

Expected Business Outcomes

Platform implementation will enable accelerated diagnostic research collaboration, improve data-driven decision making across 51 countries, and establish industry-standard data processing workflows. The solution is projected to reduce diagnostic analysis time by 40% while maintaining strict regulatory compliance for healthcare data management.