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

## : observation-method - JSON Representation

Active as of 2026-04-04

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    {
      "resourceType" : "SearchParameter",
      "id" : "observation-method",
      "text" : {
        "status" : "generated",
        "div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p class=\"res-header-id\"><b>Generated Narrative: SearchParameter observation-method</b></p><a name=\"observation-method\"> </a><a name=\"hcobservation-method\"> </a><h2>ObservationMethod</h2><p>Parameter <code>method</code>:<code>token</code></p><div><p>Search observations by annotation method (expert, clinician, AI-assisted, AI inference)</p>\n</div><table class=\"grid\"><tr><td>Resource</td><td><a href=\"http://hl7.org/fhir/R4/observation.html\">Observation</a></td></tr><tr><td>Expression</td><td><code>Observation.method</code></td></tr><tr><td>Multiples</td><td><ul><li>multipleAnd: It's up to the server whether the parameter may repeat in order to specify multiple values that must all be true</li><li>multipleOr: It's up to the server whether the parameter can have multiple values (separated by comma) where at least one must be true</li></ul></td></tr></table></div>"
      },
      "url" : "https://annotatemd.com/fhir/ig/SearchParameter/observation-method",
      "version" : "0.1.0",
      "name" : "ObservationMethod",
      "status" : "active",
      "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" : "Search observations by annotation method (expert, clinician, AI-assisted, AI inference)",
      "jurisdiction" : [
        {
          "coding" : [
            {
              "system" : "http://unstats.un.org/unsd/methods/m49/m49.htm",
              "code" : "001",
              "display" : "World"
            }
          ]
        }
      ],
      "code" : "method",
      "base" : [
        "Observation"
      ],
      "type" : "token",
      "expression" : "Observation.method"
    }