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This publication includes IP covered under the following statements.

This material derives from the HL7 Terminology (THO). THO is copyright ©1989+ Health Level Seven International and is made available under the CC0 designation. For more licensing information see: https://terminology.hl7.org/license.html
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- Observation Category Codes : OrthovisionAIObservation

Copyright and Registered Trademark Uses

IG © 2025+ medocoHEALTH. Package fhir.medoco#0.2.0 based on FHIR 5.0.0. Generated 2025-10-29 Links: Table of Contents | QA Report ( src )
hl7.fhir.us.hai: Healthcare Associated Infection Implementation Guide ®© HL7 | CC0 ( src )
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 ( src )

External References

Type	Reference	Content
web	medoco.health	IG © 2025+ medocoHEALTH . Package fhir.medoco#0.2.0 based on FHIR 5.0.0 . Generated 2025-10-29 Links: Table of Contents \| QA Report
web	en.wikipedia.org	Both Bundle.link and Bundle.entry.link are defined to support providing additional context when Bundles are used (e.g. HATEOAS ).
web	profiles.ihe.net	The IHE AI Workflow for Imaging (AIW-I) profile is a well-designed standard for AI analysis of medical images that are already stored in systems like PACS (Picture Archiving and Communication Systems). It works great for creating AI reports on existing images.
web	github.com	GitHub Issues : Report bugs and request features on Github
web	medoco.health	Technical Support : Contact medoco HEALTH for implementation assistance

Type

Reference

Content

web

medoco.health

IG © 2025+ medocoHEALTH . Package fhir.medoco#0.2.0 based on FHIR 5.0.0 . Generated 2025-10-29
Links: Table of Contents | QA Report

web

en.wikipedia.org

Both Bundle.link and Bundle.entry.link are defined to support providing additional context when Bundles are used (e.g. HATEOAS ).

web

profiles.ihe.net

The IHE AI Workflow for Imaging (AIW-I) profile is a well-designed standard for AI analysis of medical images that are already stored in systems like PACS (Picture Archiving and Communication Systems). It works great for creating AI reports on existing images.

web

github.com

GitHub Issues : Report bugs and request features on Github

web

medoco.health

Technical Support : Contact medoco HEALTH for implementation assistance

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