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

## : Annotation Type - XML Representation

Active as of 2026-04-04

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    <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>