FHIRsmith: CodeSystem/CodeSystem-trust-ai-performance-metric-cs.json

FHIR © HL7.org |

FHIRsmith 4.0.1 | Server Home | XIG Home | XIG Stats |

FHIR IG analytics

Package	fhir.ig.trust.aitransparency
Resource Type	CodeSystem
Id	CodeSystem-trust-ai-performance-metric-cs.json
FHIR Version	R5
Source	https://build.fhir.org/ig/HL7Austria/AIST-TrustworthyAI-R5/CodeSystem-trust-ai-performance-metric-cs.html
URL	http://example.org/fhir/trust-ai-transparency/CodeSystem/trust-ai-performance-metric-cs
Version	0.1.0
Status	active
Date	2026-09-28T06:36:08+00:00
Name	TrustAIPerformanceMetricCodeSystem
Title	Trust AI Performance Metric Code System
Realm	us
Authority	hl7
Description	Codes identifying performance characteristics used to document the evaluation of an AI system.
Content	complete

Resources that use this resource

ValueSet
fhir.ig.trust.aitransparency#current	trust-ai-performance-metric-vs	Trust AI Performance Metric 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-performance-metric-cs

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

Code	Display	Definition
accuracy	Accuracy	The proportion of evaluated cases for which the AI system produced the correct result.
sensitivity	Sensitivity	The proportion of relevant positive cases correctly identified by the AI system.
specificity	Specificity	The proportion of relevant negative cases correctly identified by the AI system.
robustness	Robustness	The ability of the AI system to maintain appropriate performance under variations, disturbances, or reasonably foreseeable conditions of use.

Source1

{
  "resourceType": "CodeSystem",
  "id": "trust-ai-performance-metric-cs",
  "text": {
    "status": "generated",
    "div": "<!-- snip (see above) -->"
  },
  "url": "http://example.org/fhir/trust-ai-transparency/CodeSystem/trust-ai-performance-metric-cs",
  "version": "0.1.0",
  "name": "TrustAIPerformanceMetricCodeSystem",
  "title": "Trust AI Performance Metric Code System",
  "status": "active",
  "experimental": false,
  "date": "2026-09-28T06:36:08+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."
    }
  ]
}