Orthovision AI FHIR Implementation Guide
0.2.0 - ci-build
Orthovision AI FHIR Implementation Guide - Local Development build (v0.2.0) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions
| Official URL: http://example.org/fhir/CapabilityStatement/ExampleOrthovisionAIImplementation | Version: 0.2.0 | |||
| Active as of 2025-09-30 | Computable Name: ExampleOrthovisionAIImplementation | |||
Example capability statement showing how an implementer declares their specific DICOM tag classification capabilities using the supported-dicom-tags extension.
Important: The list of supported DICOM tags is declared in extensions within this CapabilityStatement - check the JSON or XML representation to see the complete list of supported tags.
Raw OpenAPI-Swagger Definition file | Download
jsonNote to Implementers: FHIR Capabilities
Any FHIR capability may be 'allowed' by the system unless explicitly marked as 'SHALL NOT'. A few items are marked as MAY in the Implementation Guide to highlight their potential relevance to the use case.
serverExample implementation of the Orthovision AI service supporting a specific set of DICOM tag classifications.
The summary table lists the resources that are part of this configuration, and for each resource it lists:
_include_revincludecreateSubmit Bundle with image data and classification request for processing
Bundle resources containing Binary, Task, and optional ImagingStudy for atomic submission of classification requests.
readRead Task by ID to check classification progress
search-typeSearch Tasks by status, focus reference, or other parameters
Task resources track the progress of AI classification operations from submission through completion.
| Conformance | Parameter | Type | Documentation |
|---|---|---|---|
| SHALL | status | token | Search Tasks by status (in-progress, completed, failed) |
readRead Observation by ID
Observation resources containing AI-determined classifications
readRead Binary by ID to retrieve image content
Binary resources containing image data