0.1.0 - ci-build
EUAITransparencyIG - Local Development build (v0.1.0) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions
| Active as of 2026-07-31 |
{
"resourceType" : "CodeSystem",
"id" : "eu-ai-data-quality-cs",
"text" : {
"status" : "generated",
"div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p class=\"res-header-id\"><b>Generated Narrative: CodeSystem eu-ai-data-quality-cs</b></p><a name=\"eu-ai-data-quality-cs\"> </a><a name=\"hceu-ai-data-quality-cs\"> </a><p>This case-sensitive code system <code>http://example.org/fhir/eu-ai-transparency/CodeSystem/eu-ai-data-quality-cs</code> defines the following codes:</p><table class=\"codes\"><tr><td style=\"white-space:nowrap\"><b>Code</b></td><td><b>Display</b></td><td><b>Definition</b></td></tr><tr><td style=\"white-space:nowrap\">representative<a name=\"eu-ai-data-quality-cs-representative\"> </a></td><td>Representative</td><td>The data are assessed as sufficiently representative of the relevant population, setting, or intended use.</td></tr><tr><td style=\"white-space:nowrap\">error-free<a name=\"eu-ai-data-quality-cs-error-free\"> </a></td><td>Error-Controlled</td><td>The data were subject to measures intended to identify, reduce, and manage errors.</td></tr><tr><td style=\"white-space:nowrap\">complete<a name=\"eu-ai-data-quality-cs-complete\"> </a></td><td>Complete</td><td>The data are assessed as sufficiently complete for the documented purpose.</td></tr><tr><td style=\"white-space:nowrap\">relevant<a name=\"eu-ai-data-quality-cs-relevant\"> </a></td><td>Relevant</td><td>The data are assessed as relevant to the documented purpose and intended use.</td></tr></table></div>"
},
"url" : "http://example.org/fhir/eu-ai-transparency/CodeSystem/eu-ai-data-quality-cs",
"version" : "0.1.0",
"name" : "EUAIDataQualityCodeSystem",
"title" : "EU AI Data Quality Code System",
"status" : "active",
"experimental" : false,
"date" : "2026-07-31T11:07:29+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."
}
]
}