FHIR for FAIR - FHIR Implementation Guide
1.0.0 - STU 1

FHIR for FAIR - FHIR Implementation Guide, published by Health Level Seven International - SOA Work Group. This guide is not an authorized publication; it is the continuous build for version 1.0.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/fhir-for-fair/ and changes regularly. See the Directory of published versions

## : FAIR4Health study case 2 [ResearchStudy] - JSON Representation

Raw json | Download

    {
      "resourceType" : "ResearchStudy",
      "id" : "f4h-rs-2",
      "meta" : {
        "profile" : [
          🔗 "http://hl7.org/fhir/uv/fhir-for-fair/StructureDefinition/ResearchStudy-uv-f4f"
        ]
      },
      "text" : {
        "status" : "additional",
        "div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><h3>FAIR4Health Study 2: 30-days readmission risk in COPD patients</h3><p><strong>ID: </strong>https://example.org/registry/f4h-study-2b</p><p>&nbsp;</p><table border=\"1\"><tbody><tr><td><strong>Research study</strong></td><td><strong>Description</strong></td><td><strong>Total number of sites</strong></td><td><strong>Total number of patients</strong></td><td><strong>AI Algorithm</strong></td></tr><tr><td>2</td><td>Develop and pilot an early prediction service for 30-days readmission risk in COPD (Chronic Obstructive Pulmonary Disease) patients</td><td>3</td><td>4.944</td><td>Support Vector Machine (SVM), Logistic Regression, Decision Trees, Random Forest, Gradient Boosted Trees</td></tr></tbody></table><p>&nbsp;</p><p>(C) Fair4Health H2020 Project.</p><p>This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 824666.</p></div>"
      },
      "extension" : [
        {
          "url" : "http://hl7.org/fhir/uv/fhir-for-fair/StructureDefinition/copyright",
          "valueMarkdown" : "Fair4Health H2020 Project"
        },
        {
          "url" : "http://hl7.org/fhir/uv/fhir-for-fair/StructureDefinition/researchStudy-context",
          "valueUsageContext" : {
            "code" : {
              "system" : "http://example.org",
              "code" : "number-of-patients",
              "display" : "Total number of patients"
            },
            "valueQuantity" : {
              "value" : 4944
            }
          }
        },
        {
          "url" : "http://hl7.org/fhir/uv/fhir-for-fair/StructureDefinition/researchStudy-context",
          "valueUsageContext" : {
            "code" : {
              "system" : "http://example.org",
              "code" : "number-of-sites",
              "display" : "Total number of sites"
            },
            "valueQuantity" : {
              "value" : 3
            }
          }
        },
        {
          "url" : "http://hl7.org/fhir/uv/fhir-for-fair/StructureDefinition/researchStudy-context",
          "valueUsageContext" : {
            "code" : {
              "system" : "http://example.org",
              "code" : "algorithm",
              "display" : "AI Algorithm"
            },
            "valueCodeableConcept" : {
              "text" : "Support Vector Machine (SVM), Logistic Regression, Decision Trees, Random Forest, Gradient Boosted Trees"
            }
          }
        }
      ],
      "identifier" : [
        {
          "system" : "urn:ietf:rfc:3986",
          "value" : "https://example.org/registry/f4h-study-2b"
        }
      ],
      "title" : "FAIR4Health Study 2: 30-days readmission risk in COPD patients",
      "status" : "active",
      "primaryPurposeType" : {
        "coding" : [
          {
            "system" : "http://terminology.hl7.org/CodeSystem/research-study-prim-purp-type",
            "code" : "health-services-research"
          }
        ]
      },
      "description" : "Develop and pilot an early prediction service for 30-days readmission risk in COPD (Chronic Obstructive Pulmonary Disease) patients",
      "objective" : [
        {
          "name" : "30-days readmission risk in COPD patients"
        }
      ]
    }