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Profiles

The Implementation Guide defines profiles covering the complete lifecycle of AI-supported clinical decision making.

Static System Context

These profiles describe the AI system, responsible organizations, and technical documentation independently of a specific clinical execution.

EU_AIDevice (Device)

Represents the AI system as an identifiable and versioned system component.

It includes metadata such as:

  • system name
  • version
  • manufacturer
  • owner
  • CE marking information
  • intended purpose
  • target population
  • expected lifetime
  • EU AI database identifier

EU_AIOrganization (Organization)

Represents organizations involved in the AI lifecycle, including manufacturers, deployers, and healthcare providers.

It may also contain contact information for:

  • Data Protection Officers
  • Incident reporting
  • Responsible organizations

EU_AIModelCard (DocumentReference)

Represents model-card documentation and technical documentation.

It references supporting documentation and contains structured metadata regarding:

  • performance
  • training data
  • privacy
  • clinical validation

AI Output and Execution Context

These profiles document AI execution and legal traceability.

EU_AIObservation (Observation)

Represents AI-generated clinical findings.

EU_AIAuditEvent (AuditEvent)

Documents technical execution logs and integrity information.

EU_AIProvenance (Provenance)

Documents data lineage, legal basis, source data, and execution context.

Documents patient consent and AI-related transparency information.


Clinical Decision and Patient-Facing Context

These profiles document human oversight and patient communication.

EU_AIHumanOversightAssessment (ArtifactAssessment)

Represents human validation, override, correction, and review of AI-generated outputs.

EU_AIPractitionerRole (PractitionerRole)

Represents the reviewing healthcare professional and associated AI-specific competencies.

EU_AIPatientExplanation (Communication)

Documents patient-facing explanations regarding AI-supported clinical decisions.