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Development of Multitenant Rare Disease Registry Platform with OMOP/CDM Integration
  1. case
  2. Development of Multitenant Rare Disease Registry Platform with OMOP/CDM Integration

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Development of Multitenant Rare Disease Registry Platform with OMOP/CDM Integration

firstlinesoftware.com
Medical
Information technology
Research

Current Challenges in Rare Disease Data Management

Need to unify fragmented clinical data from diverse EHR systems and legacy sources across multiple countries while maintaining compliance with observational research standards. Existing infrastructure requires enhanced scalability for multitenant operations and improved data quality through intelligent matching algorithms.

About the Client

Innovative health tech company specializing in rare disease data aggregation and research platform development

Strategic Development Goals

  • Create a cloud-native multitenant platform for rare disease registry management
  • Implement intelligent data integration pipelines with healthcare institutions
  • Standardize data transformation to OMOP/CDM format across heterogeneous sources
  • Develop collaborative clinical content management tools for global research teams

Core System Capabilities

  • Interactive multitenant data collection interface for clinicians/patients
  • Automated patient matching using machine learning algorithms
  • Data quality validation and profiling workflows
  • OMOP/CDM-compliant data transformation engine
  • Clinical content versioning and collaboration tools

Technology Stack Requirements

Microsoft Azure cloud platform
Angular JS single-page application
Java Bootstrap microservices
SQL Server database
Forgerock identity management

System Integration Needs

  • HealthConnect infrastructure
  • EHR systems via FHIR/HL7 interfaces
  • CCDA data format converters
  • Proprietary legacy data systems

Operational Requirements

  • High-availability cloud architecture
  • HIPAA/GDPR compliance framework
  • Horizontal scalability for global users
  • Real-time data processing capabilities
  • Role-based access control system

Expected Business Outcomes

Enables accelerated rare disease research through standardized real-world evidence aggregation, improves cross-institutional collaboration efficiency by 40%, and reduces data integration costs by 60% through automated OMOP/CDM transformation pipelines while maintaining compliance with international research standards.

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