FHIRsmith: CodeSystem/CodeSystem-trust-ai-data-quality-cs.json

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Package	fhir.ig.trust.aitransparency
Resource Type	CodeSystem
Id	CodeSystem-trust-ai-data-quality-cs.json
FHIR Version	R5
Source	https://build.fhir.org/ig/HL7Austria/AIST-TrustworthyAI-R5/CodeSystem-trust-ai-data-quality-cs.html
URL	http://example.org/fhir/trust-ai-transparency/CodeSystem/trust-ai-data-quality-cs
Version	0.1.0
Status	active
Date	2026-09-28T06:36:08+00:00
Name	TrustAIDataQualityCodeSystem
Title	Trust AI Data Quality Code System
Realm	us
Authority	hl7
Description	Codes describing assessed data-quality characteristics relevant to the development, validation, testing, or evaluation of an AI system.
Content	complete

Resources that use this resource

ValueSet
fhir.ig.trust.aitransparency#current	trust-ai-data-quality-vs	Trust AI Data Quality Value Set

Resources that this resource uses

No resources found

Narrative

Note: links and images are rebased to the (stated) source

Generated Narrative: CodeSystem trust-ai-data-quality-cs

This case-sensitive code system http://example.org/fhir/trust-ai-transparency/CodeSystem/trust-ai-data-quality-cs defines the following codes:

Code	Display	Definition
representative	Representative	The data are assessed as sufficiently representative of the relevant population, setting, or intended use.
error-free	Error-Controlled	The data were subject to measures intended to identify, reduce, and manage errors.
complete	Complete	The data are assessed as sufficiently complete for the documented purpose.
relevant	Relevant	The data are assessed as relevant to the documented purpose and intended use.

Source1

{
  "resourceType": "CodeSystem",
  "id": "trust-ai-data-quality-cs",
  "text": {
    "status": "generated",
    "div": "<!-- snip (see above) -->"
  },
  "url": "http://example.org/fhir/trust-ai-transparency/CodeSystem/trust-ai-data-quality-cs",
  "version": "0.1.0",
  "name": "TrustAIDataQualityCodeSystem",
  "title": "Trust AI Data Quality Code System",
  "status": "active",
  "experimental": false,
  "date": "2026-09-28T06:36:08+00:00",
  "publisher": "Selina Adlberger",
  "description": "Codes describing assessed data-quality characteristics relevant to the development, validation, testing, or evaluation of an AI system.",
  "caseSensitive": true,
  "content": "complete",
  "count": 4,
  "concept": [
    {
      "code": "representative",
      "display": "Representative",
      "definition": "The data are assessed as sufficiently representative of the relevant population, setting, or intended use."
    },
    {
      "code": "error-free",
      "display": "Error-Controlled",
      "definition": "The data were subject to measures intended to identify, reduce, and manage errors."
    },
    {
      "code": "complete",
      "display": "Complete",
      "definition": "The data are assessed as sufficiently complete for the documented purpose."
    },
    {
      "code": "relevant",
      "display": "Relevant",
      "definition": "The data are assessed as relevant to the documented purpose and intended use."
    }
  ]
}