Dermatology Image Annotation FHIR Implementation Guide
0.1.0 - ci-build
Dermatology Image Annotation FHIR Implementation Guide
0.1.0 - ci-build
Dermatology Image Annotation FHIR Implementation Guide - Local Development build (v0.1.0) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions
| Active as of 2026-04-04 |
<CodeSystem xmlns="http://hl7.org/fhir">
<id value="annotation-type"/>
<text>
<status value="generated"/>
<div xmlns="http://www.w3.org/1999/xhtml"><p class="res-header-id"><b>Generated Narrative: CodeSystem annotation-type</b></p><a name="annotation-type"> </a><a name="hcannotation-type"> </a><p>This case-sensitive code system <code>https://annotatemd.com/fhir/ig/CodeSystem/annotation-type</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">lesion-classification<a name="annotation-type-lesion-classification"> </a></td><td>Lesion Classification</td><td>Classification of a skin lesion by diagnosis</td></tr><tr><td style="white-space:nowrap">segmentation<a name="annotation-type-segmentation"> </a></td><td>Segmentation</td><td>Pixel-level delineation of lesion boundaries</td></tr><tr><td style="white-space:nowrap">full-annotation<a name="annotation-type-full-annotation"> </a></td><td>Full Annotation</td><td>Classification + segmentation + clinical attributes</td></tr><tr><td style="white-space:nowrap">quick-classify<a name="annotation-type-quick-classify"> </a></td><td>Quick Classify</td><td>Rapid clinician-driven or AI-assisted classification</td></tr><tr><td style="white-space:nowrap">dermatology-annotation<a name="annotation-type-dermatology-annotation"> </a></td><td>Dermatology Annotation</td><td>Observation category code for dermatology image annotation</td></tr><tr><td style="white-space:nowrap">confidence-score<a name="annotation-type-confidence-score"> </a></td><td>Confidence Score</td><td>Annotator self-reported confidence in classification (0-1)</td></tr><tr><td style="white-space:nowrap">segmentation-mask<a name="annotation-type-segmentation-mask"> </a></td><td>Segmentation Mask</td><td>Pixel-level segmentation mask image</td></tr><tr><td style="white-space:nowrap">bounding-boxes<a name="annotation-type-bounding-boxes"> </a></td><td>Bounding Boxes</td><td>Bounding box coordinates for lesion location</td></tr><tr><td style="white-space:nowrap">qa-review-status<a name="annotation-type-qa-review-status"> </a></td><td>QA Review Status</td><td>Quality assurance review status</td></tr><tr><td style="white-space:nowrap">inter-annotator-agreement<a name="annotation-type-inter-annotator-agreement"> </a></td><td>Inter-Annotator Agreement</td><td>Cohen's kappa or similar inter-annotator agreement score</td></tr><tr><td style="white-space:nowrap">prediction-confidence<a name="annotation-type-prediction-confidence"> </a></td><td>Prediction Confidence</td><td>AI model prediction confidence score (0-1)</td></tr><tr><td style="white-space:nowrap">heatmap<a name="annotation-type-heatmap"> </a></td><td>Heatmap</td><td>Gradient visualization of AI model attention</td></tr><tr><td style="white-space:nowrap">inference-time-ms<a name="annotation-type-inference-time-ms"> </a></td><td>Inference Time</td><td>AI model inference time in milliseconds</td></tr><tr><td style="white-space:nowrap">change-detected<a name="annotation-type-change-detected"> </a></td><td>Change Detected</td><td>Whether classification changed between time points</td></tr><tr><td style="white-space:nowrap">change-type<a name="annotation-type-change-type"> </a></td><td>Change Type</td><td>Type of change between temporal annotations</td></tr><tr><td style="white-space:nowrap">earliest-date<a name="annotation-type-earliest-date"> </a></td><td>Earliest Annotation Date</td><td>Date of first annotation in temporal series</td></tr><tr><td style="white-space:nowrap">latest-date<a name="annotation-type-latest-date"> </a></td><td>Latest Annotation Date</td><td>Date of most recent annotation in temporal series</td></tr></table></div>
</text>
<url value="https://annotatemd.com/fhir/ig/CodeSystem/annotation-type"/>
<version value="0.1.0"/>
<name value="AnnotationType"/>
<title value="Annotation Type"/>
<status value="active"/>
<experimental value="false"/>
<date value="2026-04-04T01:37:20+00:00"/>
<publisher value="Annotate MD"/>
<contact>
<name value="Annotate MD"/>
<telecom>
<system value="url"/>
<value value="https://annotatemd.com"/>
</telecom>
<telecom>
<system value="email"/>
<value value="fhir@annotatemd.com"/>
</telecom>
</contact>
<description
value="Types of dermatology image annotation and component codes for annotation Observation profiles"/>
<jurisdiction>
<coding>
<system value="http://unstats.un.org/unsd/methods/m49/m49.htm"/>
<code value="001"/>
<display value="World"/>
</coding>
</jurisdiction>
<caseSensitive value="true"/>
<content value="complete"/>
<count value="17"/>
<concept>
<code value="lesion-classification"/>
<display value="Lesion Classification"/>
<definition value="Classification of a skin lesion by diagnosis"/>
</concept>
<concept>
<code value="segmentation"/>
<display value="Segmentation"/>
<definition value="Pixel-level delineation of lesion boundaries"/>
</concept>
<concept>
<code value="full-annotation"/>
<display value="Full Annotation"/>
<definition value="Classification + segmentation + clinical attributes"/>
</concept>
<concept>
<code value="quick-classify"/>
<display value="Quick Classify"/>
<definition value="Rapid clinician-driven or AI-assisted classification"/>
</concept>
<concept>
<code value="dermatology-annotation"/>
<display value="Dermatology Annotation"/>
<definition
value="Observation category code for dermatology image annotation"/>
</concept>
<concept>
<code value="confidence-score"/>
<display value="Confidence Score"/>
<definition
value="Annotator self-reported confidence in classification (0-1)"/>
</concept>
<concept>
<code value="segmentation-mask"/>
<display value="Segmentation Mask"/>
<definition value="Pixel-level segmentation mask image"/>
</concept>
<concept>
<code value="bounding-boxes"/>
<display value="Bounding Boxes"/>
<definition value="Bounding box coordinates for lesion location"/>
</concept>
<concept>
<code value="qa-review-status"/>
<display value="QA Review Status"/>
<definition value="Quality assurance review status"/>
</concept>
<concept>
<code value="inter-annotator-agreement"/>
<display value="Inter-Annotator Agreement"/>
<definition
value="Cohen's kappa or similar inter-annotator agreement score"/>
</concept>
<concept>
<code value="prediction-confidence"/>
<display value="Prediction Confidence"/>
<definition value="AI model prediction confidence score (0-1)"/>
</concept>
<concept>
<code value="heatmap"/>
<display value="Heatmap"/>
<definition value="Gradient visualization of AI model attention"/>
</concept>
<concept>
<code value="inference-time-ms"/>
<display value="Inference Time"/>
<definition value="AI model inference time in milliseconds"/>
</concept>
<concept>
<code value="change-detected"/>
<display value="Change Detected"/>
<definition value="Whether classification changed between time points"/>
</concept>
<concept>
<code value="change-type"/>
<display value="Change Type"/>
<definition value="Type of change between temporal annotations"/>
</concept>
<concept>
<code value="earliest-date"/>
<display value="Earliest Annotation Date"/>
<definition value="Date of first annotation in temporal series"/>
</concept>
<concept>
<code value="latest-date"/>
<display value="Latest Annotation Date"/>
<definition value="Date of most recent annotation in temporal series"/>
</concept>
</CodeSystem>