0.1.0 - ci-build

TrustAITransparencyIG, published by Selina Adlberger. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7Austria/AIST-TrustworthyAI-R5/ and changes regularly. See the Directory of published versions

Example DocumentReference: Model Card: DiagnosticAssist AI

AI Clinical Validation Status: Not Clinically Validated

AI Performance Metrics

type: Accuracy

value: 0.86 1 (Details: UCUM code1 = '1')

url

metric

url

biasDisclosure

value: No subgroup performance claim is made for this synthetic example.

AI Training Data Metadata

  • provenance: Synthetic training-data description for demonstration purposes.
  • Category: Electronic Health Records
  • dataQuality: Complete

AI Retention Information

  • retention: No display for Duration (value: 10; unit: years; system: http://unitsofmeasure.org; code: a)

status: Current

type: AI Model Card

date: 2026-03-01 10:00:00+0000

description:

Synthetic model card for an AI system generating diagnostic reports from structured clinical input.

content

Attachments

-ContentTypeUrlTitle
*text/htmlhttps://example.org/model-card/diagnostic-assistDiagnosticAssist AI Model Card