RetinaIntegration
0.1.3 - ci-build
RetinaIntegration - Local Development build (v0.1.3) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions
| Active as of 2025-11-11 |
<CodeSystem xmlns="http://hl7.org/fhir">
<id value="retina-imagequality-cs"/>
<text>
<status value="generated"/>
<div xmlns="http://www.w3.org/1999/xhtml"><p class="res-header-id"><b>Generated Narrative: CodeSystem retina-imagequality-cs</b></p><a name="retina-imagequality-cs"> </a><a name="hcretina-imagequality-cs"> </a><p>This case-sensitive code system <code>http://dips.no/fhir/RetinaIntegration/CodeSystem/retina-imagequality-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">2001<a name="retina-imagequality-cs-2001"> </a></td><td>Good</td><td>This means that the AI solution has been able to extract sufficient information from an image so it can be used in an automated assessment for DR that may return eye-level results if a sufficient amount and types of images of that eye are present.</td></tr><tr><td style="white-space:nowrap">2002<a name="retina-imagequality-cs-2002"> </a></td><td>Barely gradable</td><td>This means that the AI solution has been able to extract sufficient information from an image so it can be used in an automated assessment for DR that may return patient-level results indicating possibly presence of DR if a sufficient amount and types of images of the patient's eye(s) are present. In the implementation in HSØ, DR and DME values will never be returend in the API from examinations based on image quality where at least one image has the label 'barely gradable'. The API will then return no value together with a dataAbsentReason.</td></tr><tr><td style="white-space:nowrap">2003<a name="retina-imagequality-cs-2003"> </a></td><td>Not gradable</td><td>This means that the AI solution has not been able to extract sufficient information from an image so it can be used in an automated assessment for DR. In the implementation in HSØ, DR and DME values will never be returend in the API from examinations based on image quality where at least one image has the label 'not gradable'. The API will then return no value together with a dataAbsentReason.</td></tr><tr><td style="white-space:nowrap">2004<a name="retina-imagequality-cs-2004"> </a></td><td>Missing</td><td>This may come from the absence of expected images or other reasons. This value will for instance be returned on an expected image with optic disc centration if the AI solution does not return any image documentation of this category. Use: This can be used by a receiving system for documentation or use in other business logics.</td></tr></table></div>
</text>
<url
value="http://dips.no/fhir/RetinaIntegration/CodeSystem/retina-imagequality-cs"/>
<version value="0.1.3"/>
<name value="RetinaImageQualityCodesystem"/>
<title value="Image Quality"/>
<status value="active"/>
<experimental value="true"/>
<date value="2025-11-11T17:38:50+01:00"/>
<publisher value="DIPS AS"/>
<contact>
<name value="DIPS AS"/>
<telecom>
<system value="url"/>
<value value="http://dips.no/"/>
</telecom>
<telecom>
<system value="email"/>
<value value="teamsolsiden@dips.no"/>
</telecom>
</contact>
<description
value="Image quality as interpreted by an AI solution. (2000-series)"/>
<caseSensitive value="true"/>
<content value="complete"/>
<count value="4"/>
<concept>
<code value="2001"/>
<display value="Good"/>
<definition
value="This means that the AI solution has been able to extract sufficient information from an image so it can be used in an automated assessment for DR that may return eye-level results if a sufficient amount and types of images of that eye are present."/>
</concept>
<concept>
<code value="2002"/>
<display value="Barely gradable"/>
<definition
value="This means that the AI solution has been able to extract sufficient information from an image so it can be used in an automated assessment for DR that may return patient-level results indicating possibly presence of DR if a sufficient amount and types of images of the patient's eye(s) are present. In the implementation in HSØ, DR and DME values will never be returend in the API from examinations based on image quality where at least one image has the label 'barely gradable'. The API will then return no value together with a dataAbsentReason."/>
</concept>
<concept>
<code value="2003"/>
<display value="Not gradable"/>
<definition
value="This means that the AI solution has not been able to extract sufficient information from an image so it can be used in an automated assessment for DR. In the implementation in HSØ, DR and DME values will never be returend in the API from examinations based on image quality where at least one image has the label 'not gradable'. The API will then return no value together with a dataAbsentReason."/>
</concept>
<concept>
<code value="2004"/>
<display value="Missing"/>
<definition
value="This may come from the absence of expected images or other reasons. This value will for instance be returned on an expected image with optic disc centration if the AI solution does not return any image documentation of this category. Use: This can be used by a receiving system for documentation or use in other business logics."/>
</concept>
</CodeSystem>