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 |
<CodeSystem xmlns="http://hl7.org/fhir">
<id value="eu-ai-performance-metric-cs"/>
<text>
<status value="generated"/>
<div xmlns="http://www.w3.org/1999/xhtml"><p class="res-header-id"><b>Generated Narrative: CodeSystem eu-ai-performance-metric-cs</b></p><a name="eu-ai-performance-metric-cs"> </a><a name="hceu-ai-performance-metric-cs"> </a><p>This case-sensitive code system <code>http://example.org/fhir/eu-ai-transparency/CodeSystem/eu-ai-performance-metric-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">accuracy<a name="eu-ai-performance-metric-cs-accuracy"> </a></td><td>Accuracy</td><td>The proportion of evaluated cases for which the AI system produced the correct result.</td></tr><tr><td style="white-space:nowrap">sensitivity<a name="eu-ai-performance-metric-cs-sensitivity"> </a></td><td>Sensitivity</td><td>The proportion of relevant positive cases correctly identified by the AI system.</td></tr><tr><td style="white-space:nowrap">specificity<a name="eu-ai-performance-metric-cs-specificity"> </a></td><td>Specificity</td><td>The proportion of relevant negative cases correctly identified by the AI system.</td></tr><tr><td style="white-space:nowrap">robustness<a name="eu-ai-performance-metric-cs-robustness"> </a></td><td>Robustness</td><td>The ability of the AI system to maintain appropriate performance under variations, disturbances, or reasonably foreseeable conditions of use.</td></tr></table></div>
</text>
<url
value="http://example.org/fhir/eu-ai-transparency/CodeSystem/eu-ai-performance-metric-cs"/>
<version value="0.1.0"/>
<name value="EUAIPerformanceMetricCodeSystem"/>
<title value="EU AI Performance Metric Code System"/>
<status value="active"/>
<experimental value="false"/>
<date value="2026-07-31T11:07:29+00:00"/>
<publisher value="Selina Adlberger"/>
<description
value="Codes identifying performance characteristics used to document the evaluation of an AI system."/>
<caseSensitive value="true"/>
<content value="complete"/>
<count value="4"/>
<concept>
<code value="accuracy"/>
<display value="Accuracy"/>
<definition
value="The proportion of evaluated cases for which the AI system produced the correct result."/>
</concept>
<concept>
<code value="sensitivity"/>
<display value="Sensitivity"/>
<definition
value="The proportion of relevant positive cases correctly identified by the AI system."/>
</concept>
<concept>
<code value="specificity"/>
<display value="Specificity"/>
<definition
value="The proportion of relevant negative cases correctly identified by the AI system."/>
</concept>
<concept>
<code value="robustness"/>
<display value="Robustness"/>
<definition
value="The ability of the AI system to maintain appropriate performance under variations, disturbances, or reasonably foreseeable conditions of use."/>
</concept>
</CodeSystem>