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Integration API

Technical Documentation

One Integration, Multiple Facilities

Our Integration API provides a standardized interface for connecting your AI diagnostic models with our platform, allowing you to reach multiple healthcare facilities through a single integration point.

We handle the complex integrations with various hospital systems, PACS configurations, and regulatory requirements, so you can focus on improving your AI algorithms.

  • RESTful API with standard authentication
  • Webhook support for asynchronous processing
  • DICOM and HL7/FHIR compatibility
  • Comprehensive test environment
  • Detailed performance analytics
Apply for API Access
API Integration

Integration Architecture

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How your AI model connects with our platform and medical facilities

Data Flow Overview

Your AI model integrates with our platform through a simple RESTful API while we handle the complex integrations with various hospital systems.

API Architecture Diagram

Image Acquisition

Our platform receives DICOM images from medical facilities, anonymizes them, and prepares them for AI processing.

AI Processing

Images are routed to your API endpoint for analysis. Your model processes the images and returns structured results.

Result Integration

We integrate your AI analysis results back into the medical facility's workflow, formatted according to their requirements.

API Endpoints & Documentation

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Explore our RESTful API endpoints for seamless integration

Authentication

All API requests must be authenticated using JWT tokens. You'll receive your API credentials upon partnership approval.

POST /api/v1/auth/token
Content-Type: application/json

{
  "client_id": "your_client_id",
  "client_secret": "your_client_secret",
  ...
}

Model Registration

Register your AI model's capabilities and specifications with our platform.

POST /api/v1/models
Authorization: Bearer {token}
Content-Type: application/json

{
  "name": "ChestXray-AI",
  "version": "1.2.0",
  "modalities": ["X-ray"],
  "bodyParts": ["Chest"],
  "capabilities": ["Pneumonia", "Tuberculosis", "Lung Cancer"],
  ...
}

Webhook Registration

Register a webhook URL to receive notifications when new images are available for processing.

POST /api/v1/webhooks
Authorization: Bearer {token}
Content-Type: application/json

{
  "url": "https://your-api.com/webhook",
  "events": ["image.ready", "analysis.request"],
  "secret": "your_webhook_secret",
  ...
}

Image Analysis

Process images and return analysis results. Supports both synchronous and asynchronous modes.

POST /api/v1/analysis
Authorization: Bearer {token}
Content-Type: application/json

{
  "study_id": "1a2b3c4d5e6f",
  "image_urls": ["https://api.quantummed.eu/images/1a2b3c4d5e6f/1.dcm"],
  "async": true,
  "callback_url": "https://api.quantummed.eu/callbacks/1a2b3c4d5e6f",
  ...
}

Results Submission

Submit analysis results for asynchronous processing.

POST /api/v1/results
Authorization: Bearer {token}
Content-Type: application/json

{
  "analysis_id": "1a2b3c4d5e6f",
  "findings": [
    {
      "type": "Pneumonia",
      "confidence": 0.92,
      "location": { "x": 120, "y": 150, "width": 80, "height": 60 },
      "description": "Right upper lobe consolidation...",
      ...
    }
  ]
}

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Supported Formats & Protocols

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Seamless integration with healthcare industry standards

DICOM

Standard format for medical imaging with full metadata support

HL7/FHIR

Healthcare interoperability standards for data exchange

JSON/XML

Flexible data formats for API requests and responses

REST

RESTful API design with standard HTTP methods

Webhooks

Event-driven architecture for real-time notifications

OAuth 2.0

Industry-standard protocol for authorization

Analytics

Comprehensive performance metrics and usage tracking

Custom Adapters

Support for proprietary formats through custom adapters

Implementation Timeline

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From partnership agreement to production deployment

Week 1-2: Onboarding

Complete the partnership agreement, receive API credentials, and gain access to documentation and sandbox environment.

Week 3-4: Technical Integration

Implement API endpoints, establish data exchange formats, and set up webhook notifications.

Week 5-6: Testing & Validation

Conduct thorough testing in our sandbox environment with sample DICOM images, validate results, and fine-tune integration.

Week 7-8: Certification & Deployment

Complete our certification process, finalize documentation, and deploy to production environment.

Post-Launch: Monitoring & Optimization

Monitor performance metrics, gather feedback from first medical facilities, and optimize integration as needed.

Security & Compliance

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Enterprise-grade security for sensitive medical data

Data Encryption

All data is encrypted both in transit (TLS 1.3) and at rest (AES-256) to ensure maximum security.

Authentication & Authorization

Robust OAuth 2.0 implementation with JWT tokens and fine-grained permission controls.

Data Anonymization

Advanced techniques to remove or encrypt PHI (Protected Health Information) before processing.

GDPR Compliance

Full compliance with European data protection regulations with clear data processing agreements.

Medical Device Regulations

Framework for adherence to European MDR requirements for AI in healthcare.

Regular Security Testing

Continuous security assessments, including penetration testing and vulnerability scanning.

Technical Support

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We're here to help you with your integration journey

Dedicated Integration Support

Our team of integration specialists is ready to assist you with any technical questions or challenges.

  • Dedicated integration engineer assigned to your project
  • Regular technical check-ins during implementation
  • Priority support channels via email and Slack
  • Comprehensive documentation and code samples
  • Troubleshooting assistance for any integration issues
Contact Support Team
Technical Support

Ready to expand your market reach?

Join our AI partner network and connect your diagnostic models to healthcare facilities across Europe.

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