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Official URL: http://example.org/fhir/trust-ai-transparency/ImplementationGuide/fhir.ig.trust.aitransparency				Version: 0.1.0
Draft as of 2026-10-02				Computable Name: TrustAITransparencyIG

Trust AI Transparency Implementation Guide

Scope

The IG covers selected metadata areas relevant to AI-supported processing in healthcare:

• AI system identification and system-level metadata
• Organizational accountability and contact information
• Model-card and technical-documentation metadata
• Training-data and data-quality context
• Privacy and data-use metadata
• AI-generated clinical outputs
• Execution traceability and audit metadata
• Provenance and legal-context documentation
• Human oversight actions
• Patient-facing information and explanation documentation

The IG does not replace clinical validation, conformity assessment, data protection assessment, national legal review, or organization-specific governance processes.

Purpose

AI-supported healthcare workflows require technical documentation that is understandable, traceable, and interoperable across systems. Relevant information may include the identity of the AI system, its intended purpose, technical documentation, training-data context, privacy metadata, legal processing context, generated outputs, execution traces, human oversight, and patient-facing information.

This IG provides a FHIR-based representation of these concepts by defining reusable profiles and extensions. The goal is to make selected AI-related metadata explicit, structured, and linkable within healthcare IT environments.