FHIR IG analytics| Package | org.savannahghi.healthyroute |
| Resource Type | ResearchStudy |
| Id | ResearchStudy-ExampleStudyCountryB.json |
| FHIR Version | R5 |
No resources found
No resources found
Note: links and images are rebased to the (stated) source
Generated Narrative: ResearchStudy ExampleStudyCountryB
Profile: Healthy Route Study
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
associatedParty
name: Example sponsoring university department
role: Sponsor-investigator
associatedParty
name: Example pharmaceutical collaborator
role: Funding source
| TargetNumber |
| 500 |
| Name | Description |
| 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. |
{
"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."
}
]
}