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Development of an Interoperable Medical Imaging Platform for Enhanced Healthcare Collaboration
  1. case
  2. Development of an Interoperable Medical Imaging Platform for Enhanced Healthcare Collaboration

Development of an Interoperable Medical Imaging Platform for Enhanced Healthcare Collaboration

atta.systems
Medical

Healthcare Provider Challenges in Medical Imaging Data Management and Collaboration

Healthcare organizations face difficulties in integrating diverse imaging modalities into a cohesive platform, enabling real-time, cross-geographical collaboration while ensuring data security and compliance with regulatory standards. They require a scalable, interoperable infrastructure to streamline workflows and improve patient outcomes.

About the Client

A large network of healthcare providers seeking a unified platform to securely share, store, and collaborate on medical imaging data across multiple locations and systems.

Goals for Implementing a Secure, Scalable Medical Imaging Ecosystem

  • Establish a unified, interoperable platform capable of integrating various medical imaging modalities and legacy systems.
  • Enable secure, realtime collaboration on imaging data across multiple locations and providers.
  • Implement robust data security and privacy controls complying with regulations such as HIPAA and GDPR.
  • Design a flexible, scalable cloud infrastructure to handle fluctuating workloads and large data volumes.
  • Facilitate seamless integration with existing healthcare workflows, EHR/EMR systems, and digital health applications.
  • Increase image retrieval and visualization efficiency, supporting all imaging types on multiple device platforms.
  • Drive improved clinical decision-making and patient outcomes through enhanced data sharing and collaboration.

Core Functional Specifications for the Medical Imaging Collaboration Platform

  • Interoperable infrastructure supporting multiple imaging formats (e.g., DICOM), integrating with on-premises PACS and modalities.
  • Automated retrieval of imaging data from multiple sources, including on-premise systems and patient uploads.
  • Secure data storage with fine-grained access control lists (ACLs) for compliance and security.
  • Web-based access enabling clinicians and specialists to view and collaborate on images from any device or location.
  • Real-time collaboration tools including online meetings and shared viewing sessions.
  • Customizable DICOM viewer components supporting all imaging types, optimized for mobile and desktop devices.
  • Integration APIs to connect with hospital information systems, EHRs, EMRs, and digital health platforms.
  • User flow support for patient image uploads directly into the system, enhancing continuity of care.

Technology Stack and Architectural Preferences for the Imaging Platform

Cloud infrastructure platforms such as Microsoft Azure or Amazon AWS for scalability and flexibility.
Containerization and microservices architecture for modular, maintainable deployment.
Secure authentication and authorization protocols, possibly OAuth2.0 or similar, for data access control.
AI integration capabilities, leveraging language models and image processing tools (e.g., GPT-4, AI-driven diagnostics).
Web technologies supporting responsive design for desktop and mobile access.

Essential External and Internal System Integrations for Seamless Data Flow

  • On-premise PACS and imaging modalities for automatic data retrieval.
  • Hospital and clinic EHR/EMR systems for integrated workflows and data consistency.
  • Patient portals for direct upload of previous imaging studies.
  • Analytics and AI services for advanced diagnostics and workflow enhancement.

Performance, Security, and Scalability Expectations for the Platform

  • High availability with near 100% uptime and automatic failover capabilities.
  • Secure data transmission and storage in compliance with HIPAA, GDPR, and other relevant standards.
  • Scalable architecture capable of managing large volumes of imaging data (e.g., millions of studies/year).
  • Fast image retrieval and rendering with minimal latency, supporting multiple concurrent users.
  • Flexible user access controls and audit trails for regulatory compliance.

Anticipated Business Benefits and Operational Outcomes of the Project

The new medical imaging platform aims to enable secure, efficient sharing of over 1.7 million imaging studies annually across multiple providers, support over 4,000 doctors, and facilitate over 300,000 visualizations yearly. It will significantly streamline workflows, improve clinical collaboration, reduce diagnostic delays, and enhance patient outcomes, ultimately driving increased provider efficiency and patient satisfaction.

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