Anonymous Diagnostic Reports
Post an anonymous diagnostic report
Post an anonymous diagnostic report
Once the iframe finishes processing an upload and emits the analysis_completed callback with the report identifier, your backend retrieves the diagnostic report on demand from the API. To obtain it as a FHIR-compliant payload, call the endpoint with the ?format=fhir parameter; see the API Endpoint page.
Interpreting the results requires careful consideration of the image quality and the context in which it was taken. By following the recommended guidelines, you can ensure more accurate and reliable results.
In this section, we present practical examples of workflows that can be integrated into your systems, utilizing the data provided by our device's API.
In this section, we present practical examples of workflows that can be integrated into your systems, utilizing the data provided by our device's API.
The result field captures the diagnostic process output. Three sibling fields describe the classifier's behaviour for this case: performanceIndicators, clinicalIndicators, and analysisDuration.
The result field encapsulates the comprehensive results of the diagnostic process. Three subfields describe the classifier's behaviour for this case: metrics, preliminaryFindings, and iaSeconds.
The fastest way to surface a result is to let the iframe render the report itself. As soon as the analysis completes, the components below appear inside the iframe, with no additional rendering work required on the integrator side.