Description
Retrieve aggregated preprint data including study designs, review metrics, and publication status. All data is de-identified for population-level analysis.
Endpoint
https://app.myhealthnote.com/api/fhir/Dash/population/preprints
Request Examples
cURL
curl -X GET \
"https://app.myhealthnote.com/api/fhir/Dash/population/preprints" \
-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
-H "Accept: application/json"JavaScript/Node.js
const response = await fetch("https://app.myhealthnote.com/api/fhir/Dash/population/preprints", {
headers: {
"Authorization": "Bearer YOUR_ACCESS_TOKEN",
"Accept": "application/json"
}
});
const data = await response.json();
console.log(data);Python
import requests
response = requests.get(
"https://app.myhealthnote.com/api/fhir/Dash/population/preprints",
headers={
"Authorization": "Bearer YOUR_ACCESS_TOKEN",
"Accept": "application/json"
}
)
print(response.json())
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
limit |
integer | No | 20 | Number of preprints to return |
offset |
integer | No | - | Pagination offset |
studyDesign |
string | No | - | Filter by study design (survey, case_report, observational) |
publishedOnly |
boolean | No | true | Show only published preprints |
keyword |
string | No | - | Search in title, abstract, or keywords |
minReviews |
integer | No | - | Minimum number of community reviews |
minAIReviews |
integer | No | - | Minimum number of AI reviews |
Response Example
{
"resourceType": "Bundle",
"type": "searchset",
"total": 50,
"entry": [
{
"resource": {
"resourceType": "EvidenceReport",
"title": "Sample Preprint",
"studyDesign": "case_report"
}
}
]
}
Try It Out
Enter your API token to test this endpoint:
