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 |
{
"resourceType" : "CodeSystem",
"id" : "annotation-type",
"text" : {
"status" : "generated",
"div" : "<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>"
},
"url" : "https://annotatemd.com/fhir/ig/CodeSystem/annotation-type",
"version" : "0.1.0",
"name" : "AnnotationType",
"title" : "Annotation Type",
"status" : "active",
"experimental" : false,
"date" : "2026-04-04T01:37:20+00:00",
"publisher" : "Annotate MD",
"contact" : [
{
"name" : "Annotate MD",
"telecom" : [
{
"system" : "url",
"value" : "https://annotatemd.com"
},
{
"system" : "email",
"value" : "fhir@annotatemd.com"
}
]
}
],
"description" : "Types of dermatology image annotation and component codes for annotation Observation profiles",
"jurisdiction" : [
{
"coding" : [
{
"system" : "http://unstats.un.org/unsd/methods/m49/m49.htm",
"code" : "001",
"display" : "World"
}
]
}
],
"caseSensitive" : true,
"content" : "complete",
"count" : 17,
"concept" : [
{
"code" : "lesion-classification",
"display" : "Lesion Classification",
"definition" : "Classification of a skin lesion by diagnosis"
},
{
"code" : "segmentation",
"display" : "Segmentation",
"definition" : "Pixel-level delineation of lesion boundaries"
},
{
"code" : "full-annotation",
"display" : "Full Annotation",
"definition" : "Classification + segmentation + clinical attributes"
},
{
"code" : "quick-classify",
"display" : "Quick Classify",
"definition" : "Rapid clinician-driven or AI-assisted classification"
},
{
"code" : "dermatology-annotation",
"display" : "Dermatology Annotation",
"definition" : "Observation category code for dermatology image annotation"
},
{
"code" : "confidence-score",
"display" : "Confidence Score",
"definition" : "Annotator self-reported confidence in classification (0-1)"
},
{
"code" : "segmentation-mask",
"display" : "Segmentation Mask",
"definition" : "Pixel-level segmentation mask image"
},
{
"code" : "bounding-boxes",
"display" : "Bounding Boxes",
"definition" : "Bounding box coordinates for lesion location"
},
{
"code" : "qa-review-status",
"display" : "QA Review Status",
"definition" : "Quality assurance review status"
},
{
"code" : "inter-annotator-agreement",
"display" : "Inter-Annotator Agreement",
"definition" : "Cohen's kappa or similar inter-annotator agreement score"
},
{
"code" : "prediction-confidence",
"display" : "Prediction Confidence",
"definition" : "AI model prediction confidence score (0-1)"
},
{
"code" : "heatmap",
"display" : "Heatmap",
"definition" : "Gradient visualization of AI model attention"
},
{
"code" : "inference-time-ms",
"display" : "Inference Time",
"definition" : "AI model inference time in milliseconds"
},
{
"code" : "change-detected",
"display" : "Change Detected",
"definition" : "Whether classification changed between time points"
},
{
"code" : "change-type",
"display" : "Change Type",
"definition" : "Type of change between temporal annotations"
},
{
"code" : "earliest-date",
"display" : "Earliest Annotation Date",
"definition" : "Date of first annotation in temporal series"
},
{
"code" : "latest-date",
"display" : "Latest Annotation Date",
"definition" : "Date of most recent annotation in temporal series"
}
]
}