{
  "resourceType" : "CodeSystem",
  "id" : "eu-ai-performance-metric-cs",
  "text" : {
    "status" : "generated",
    "div" : "<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>"
  },
  "url" : "http://example.org/fhir/eu-ai-transparency/CodeSystem/eu-ai-performance-metric-cs",
  "version" : "0.1.0",
  "name" : "EUAIPerformanceMetricCodeSystem",
  "title" : "EU AI Performance Metric Code System",
  "status" : "active",
  "experimental" : false,
  "date" : "2026-07-31T11:07:29+00:00",
  "publisher" : "Selina Adlberger",
  "description" : "Codes identifying performance characteristics used to document the evaluation of an AI system.",
  "caseSensitive" : true,
  "content" : "complete",
  "count" : 4,
  "concept" : [{
    "code" : "accuracy",
    "display" : "Accuracy",
    "definition" : "The proportion of evaluated cases for which the AI system produced the correct result."
  },
  {
    "code" : "sensitivity",
    "display" : "Sensitivity",
    "definition" : "The proportion of relevant positive cases correctly identified by the AI system."
  },
  {
    "code" : "specificity",
    "display" : "Specificity",
    "definition" : "The proportion of relevant negative cases correctly identified by the AI system."
  },
  {
    "code" : "robustness",
    "display" : "Robustness",
    "definition" : "The ability of the AI system to maintain appropriate performance under variations, disturbances, or reasonably foreseeable conditions of use."
  }]
}