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Development of a Data-Driven Health and Research Management Platform
  1. case
  2. Development of a Data-Driven Health and Research Management Platform

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Development of a Data-Driven Health and Research Management Platform

cogniteq.com
Medical
Information technology
Research

Challenges in Healthcare Data Management

The client required a scalable, compliant platform to manage and analyze healthcare data amidst rapid industry changes. Key pain points included fragmented data integration, lack of real-time analytics, non-uniform compliance with GDPR/HIPAA standards, limited interoperability with medical devices, and insufficient tools for predictive analytics in clinical workflows.

About the Client

Provider of innovative healthcare solutions leveraging Human Data Science to improve patient outcomes through data analytics and AI-driven decision-making.

Strategic Goals for Platform Development

  • Launch a compliant healthcare data management platform with modular customization
  • Implement secure, real-time data processing for clinical research and patient care
  • Enable seamless integration with medical devices and legacy healthcare systems
  • Establish predictive analytics capabilities for improved diagnostic accuracy
  • Ensure global scalability with region-specific data storage compliance

Core System Capabilities

  • Customizable admin dashboard for workflow management
  • Electronic Data Capture (EDC) with CRF version control
  • Interactive analytics with Microsoft Power BI integration
  • Cross-platform data visualization for health metrics
  • Augmented intelligence for diagnostic support
  • Multi-device compatibility for remote patient monitoring
  • Automated compliance reporting for GDPR/HIPAA

Technology Stack Requirements

.NET C#
ASP.NET MVC
ASP.NET CORE
DevExtreme
DevExpress
Azure Active Directory (AAD)
Microsoft Azure Cloud
JavaScript
CSS
HTML5

System Integration Needs

  • Clinical Trial Management Systems (CTMS)
  • Electronic Patient-Reported Outcomes (ePRO)
  • Medical device APIs (ECG, glucose monitors, biosensors)
  • Health data warehouses
  • Power BI for dashboard analytics

Operational and Security Standards

  • Multi-region data storage compliance (GDPR/HIPAA)
  • Horizontal scalability for global healthcare providers
  • Real-time data processing with <200ms latency
  • 99.99% system uptime SLA
  • Role-based access control (RBAC) with AAD integration
  • End-to-end encryption for data in transit and at rest

Expected Business Transformation

The platform will revolutionize healthcare data management by enabling evidence-based decision-making through predictive analytics, reducing diagnostic errors via augmented intelligence, and lowering operational costs through automated compliance. With cross-device compatibility and seamless integration, it will position the client as a market leader in AI-driven healthcare solutions, driving 30% annual growth in clinical adoption and establishing a foundation for future AI/ML innovations in patient care.

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