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FHIR IG analytics

Packageorg.savannahghi.healthyroute
Resource TypeResearchStudy
IdResearchStudy-ExampleStudyCountryB.json
FHIR VersionR5

Resources that use this resource

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Resources that this resource uses

No resources found


Narrative

Note: links and images are rebased to the (stated) source

Generated Narrative: ResearchStudy ExampleStudyCountryB

identifier: https://example.org/sid/protocol/HR-B-001

version: 1.0

title: Validation of a retinal image algorithm for prediction of reduced kidney function, country B

status: Active

primaryPurposeType: Diagnostic

studyDesign: Non-interventional, cross-sectional

region: Uganda

period: 2026-04-01 --> 2026-09-30

site: Example Teaching Hospital (Healthcare Provider) (https://example.org/sid/national-facility-register#HF-0001)

associatedParty

name: Example sponsoring university department

role: Sponsor-investigator

associatedParty

name: Example pharmaceutical collaborator

role: Funding source

Recruitments

-TargetNumber
*500

Objectives

-NameDescription
*Primary

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.


Source1

{
  "resourceType": "ResearchStudy",
  "id": "ExampleStudyCountryB",
  "meta": {
    "profile": [
      "https://fhir.savannahghi.org/ig/healthy-route/StructureDefinition/hr-research-study"
    ]
  },
  "text": {
    "status": "generated",
    "div": "<!-- snip (see above) -->"
  },
  "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."
    }
  ]
}