The Sovereign Health Protocol

A reference architecture for deploying agentic health AI in Europe. Federated. Causal. Auditable.

Architecture

How It Works

Institutional Boundary
Institutional Data
EHR, claims, and registry data remain inside the institutional boundary. Data never crosses it.
Data never crosses institutional boundary
Trust Center Nodes
All computation runs inside the Trust Center. Docker containers deploy alongside existing infrastructure.
All computation in Trust Center
Federated Learning
Models train locally. Only encrypted gradient parameters aggregate centrally. No raw data moves.
API Gateway
REST API endpoints with OpenAPI specification. OAuth 2.0 and institutional PKI authentication.
REST API endpoints
Agent Deployment
Risk stratification, intervention design, and equity-corrected workflows deploy via standard endpoints.
Three Pillars

Built on Three Principles

01

Sovereignty

  • Federated learning architecture
  • Trust Center deployment model
  • Zero data export guarantee
  • GDPR Article 9 compliance by design
02

Causality

  • Causal inference engine
  • Uplift modelling
  • Intervention ROI calculation
  • Prescriptive agent behaviour
03

Equity

  • Bias correction framework
  • SES proxy inference
  • <5% disparity threshold
  • Audit-ready reporting
Integration

Integration Specifications

Designed for enterprise health IT environments.
Typical integration timeline: 2 weeks.

FHIR R4 Native
Native support for FHIR R4 resources and operations
HL7 Compatible
Backwards compatibility with existing HL7 v2 message flows
Docker Containerised
Deploy as containers inside your existing Trust Center infrastructure
REST API + OpenAPI
Fully documented REST endpoints with OpenAPI 3.0 specification
OAuth 2.0 + PKI
Enterprise authentication via OAuth 2.0 and institutional PKI certificates
2-Week Integration
Typical integration timeline from contract to first API call
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