{
  "resourceType" : "ResearchStudy",
  "id" : "ExampleStudyCountryB",
  "meta" : {
    "profile" : ["https://fhir.savannahghi.org/ig/healthy-route/StructureDefinition/hr-research-study"]
  },
  "text" : {
    "status" : "generated",
    "div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p class=\"res-header-id\"><b>Generated Narrative: ResearchStudy ExampleStudyCountryB</b></p><a name=\"ExampleStudyCountryB\"> </a><a name=\"hcExampleStudyCountryB\"> </a><div style=\"display: inline-block; background-color: #d9e0e7; padding: 6px; margin: 4px; border: 1px solid #8da1b4; border-radius: 5px; line-height: 60%\"><p style=\"margin-bottom: 0px\"/><p style=\"margin-bottom: 0px\">Profile: <a href=\"StructureDefinition-hr-research-study.html\">Healthy Route Study</a></p></div><p><b>identifier</b>: <code>https://example.org/sid/protocol</code>/HR-B-001</p><p><b>version</b>: 1.0</p><p><b>title</b>: Validation of a retinal image algorithm for prediction of reduced kidney function, country B</p><p><b>status</b>: Active</p><p><b>primaryPurposeType</b>: <span title=\"Codes:{http://terminology.hl7.org/CodeSystem/research-study-prim-purp-type diagnostic}\">Diagnostic</span></p><p><b>studyDesign</b>: <span title=\"Codes:\">Non-interventional, cross-sectional</span></p><p><b>region</b>: <span title=\"Codes:{urn:iso:std:iso:3166 UG}\">Uganda</span></p><p><b>period</b>: 2026-04-01 --&gt; 2026-09-30</p><p><b>site</b>: <a href=\"Organization-ExampleStudySite.html\">Organization Example Teaching Hospital</a></p><blockquote><p><b>associatedParty</b></p><p><b>name</b>: Example sponsoring university department</p><p><b>role</b>: <span title=\"Codes:{http://terminology.hl7.org/CodeSystem/research-study-party-role sponsor-investigator}\">Sponsor-investigator</span></p></blockquote><blockquote><p><b>associatedParty</b></p><p><b>name</b>: Example pharmaceutical collaborator</p><p><b>role</b>: <span title=\"Codes:{http://terminology.hl7.org/CodeSystem/research-study-party-role funding-source}\">Funding source</span></p></blockquote><h3>Recruitments</h3><table class=\"grid\"><tr><td style=\"display: none\">-</td><td><b>TargetNumber</b></td></tr><tr><td style=\"display: none\">*</td><td>500</td></tr></table><h3>Objectives</h3><table class=\"grid\"><tr><td style=\"display: none\">-</td><td><b>Name</b></td><td><b>Description</b></td></tr><tr><td style=\"display: none\">*</td><td>Primary</td><td><div><p>Validate the performance of a machine-learning algorithm predicting reduced kidney function from digital retinal images, in the population in which it is intended to be used.</p>\n</div></td></tr></table></div>"
  },
  "identifier" : [{
    "system" : "https://example.org/sid/protocol",
    "value" : "HR-B-001"
  }],
  "version" : "1.0",
  "title" : "Validation of a retinal image algorithm for prediction of reduced kidney function, country B",
  "status" : "active",
  "primaryPurposeType" : {
    "coding" : [{
      "system" : "http://terminology.hl7.org/CodeSystem/research-study-prim-purp-type",
      "code" : "diagnostic"
    }]
  },
  "studyDesign" : [{
    "text" : "Non-interventional, cross-sectional"
  }],
  "region" : [{
    "coding" : [{
      "system" : "urn:iso:std:iso:3166",
      "code" : "UG"
    }]
  }],
  "period" : {
    "start" : "2026-04-01",
    "end" : "2026-09-30"
  },
  "site" : [{
    "reference" : "Organization/ExampleStudySite"
  }],
  "associatedParty" : [{
    "name" : "Example sponsoring university department",
    "role" : {
      "coding" : [{
        "system" : "http://terminology.hl7.org/CodeSystem/research-study-party-role",
        "code" : "sponsor-investigator",
        "display" : "Sponsor-investigator"
      }]
    }
  },
  {
    "name" : "Example pharmaceutical collaborator",
    "role" : {
      "coding" : [{
        "system" : "http://terminology.hl7.org/CodeSystem/research-study-party-role",
        "code" : "funding-source",
        "display" : "Funding source"
      }]
    }
  }],
  "recruitment" : {
    "targetNumber" : 500
  },
  "objective" : [{
    "name" : "Primary",
    "description" : "Validate the performance of a machine-learning algorithm predicting reduced kidney function from digital retinal images, in the population in which it is intended to be used."
  }]
}