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Development of Interoperable Medical Imaging Platform with Real-Time Collaboration and AI Integration
  1. case
  2. Development of Interoperable Medical Imaging Platform with Real-Time Collaboration and AI Integration

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Development of Interoperable Medical Imaging Platform with Real-Time Collaboration and AI Integration

atta.systems
Medical
Information technology

Challenges in Medical Imaging Data Management and Collaboration

Fragmented medical imaging systems hinder real-time collaboration between healthcare providers, while ensuring data security, interoperability, and seamless integration with existing workflows remains critical for optimal patient care.

About the Client

Healthcare technology company providing a digital platform for secure medical imaging data management and collaboration

Objectives for Enhanced Medical Imaging Platform

  • Create a unified platform for interoperable medical imaging data integration
  • Enable real-time global collaboration among healthcare professionals
  • Ensure compliance with data security and privacy regulations
  • Develop scalable cloud infrastructure for variable workloads
  • Streamline integration with existing healthcare IT systems

Core System Functionalities and Features

  • DICOM data integration with PACS and imaging modalities
  • Real-time collaborative visualization tools
  • Patient-controlled imaging data upload functionality
  • Granular access control with ACLs
  • Customizable DICOM viewer components for EHR/EMR integration
  • AI-driven diagnostic assistance and workflow optimization

Technology Stack Requirements

Cloud infrastructure (AWS/Azure)
DICOM standard compliance
AI/LLM integration (GPT4o)
Web-based DICOM viewer with mobile support
HIPAA/GDPR-compliant data handling

System Integration Requirements

  • On-premise PACS systems
  • Electronic Health Records (EHR)
  • Electronic Medical Records (EMR)
  • Digital health applications
  • Multi-enterprise location networks

Non-Functional Requirements

  • 99.9% system uptime with continuous monitoring
  • Scalable storage for 50M+ annual API transactions
  • Real-time data processing latency <200ms
  • Role-based access control with audit trails
  • Multi-cloud deployment capabilities

Expected Impact on Healthcare Collaboration and Efficiency

Platform will support 1.7M+ imaging studies annually, enable collaboration across 50+ hospitals and 4,000+ clinicians, reduce diagnostic decision-making time by 30%, and maintain 100% regulatory compliance while processing 1M+ yearly transactions.

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