INCISIVE Implementation Guide
0.1.1 - draft
INCISIVE Implementation Guide
0.1.1 - draft
INCISIVE Implementation Guide - Local Development build (v0.1.1) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions
| Official URL: https://fhir.incisive-project.eu/ConceptMap/ColorectalHistopathologyImageDetailsConceptMap | Version: 0.1.1 | |||
| Draft as of 2024-03-19 | Computable Name: ColorectalHistopathologyImageDetailsConceptMap | |||
Histopathology image model of Colorectal cancer to the FHIR Profile map
It shows how the histopathology image model of Colorectal cancer is mapped into the FHIR Profile/structureDefinition
Mapping from Histopathology image details Colorectal to Observation for Colorectal cancer
DRAFT (not intended for production usage). Published on 2024-03-19 13:26:22+0100 by INCISIVE (INCISIVE: https://incisive-project.eu/, fhir@incisive-project.eu).
Histopathology image model of Colorectal cancer to the FHIR Profile map
Group 1Mapping from Histopathology image details Colorectal to Observation for Colorectal cancer
| Source Code | Relationship | Target Code |
| ColorectalHistopathologyImageDetailsLogicalModel.histopathologyImageDetailsID (An identifier for the histopathology image details) | is related to | Observation.id |
| ColorectalHistopathologyImageDetailsLogicalModel.patientID (INCISIVE patient) | is equivalent to | Observation.subject.reference |
| ColorectalHistopathologyImageDetailsLogicalModel.sampling (Sampling - action) | is related to | Observation.component.valueString |
| ColorectalHistopathologyImageDetailsLogicalModel.stainingTypeOfAssayPerformed (Staining method) | is related to | Observation.component.valueString |
| ColorectalHistopathologyImageDetailsLogicalModel.magnification (Microscopic specimen observation) | is related to | Observation.component.valueString |
| ColorectalHistopathologyImageDetailsLogicalModel.otherSampleRelatedInformation (Biopsy finding) | is related to | Observation.component.valueString |
INCISIVE has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952179. However, the content of this website reflects the opinion of its authors and does not in any way represent opinions of the European Union. European Commission is not responsible for any use that may be made of the information the website contains.
https://ec.europa.eu/digital-single-market/en/policies/ehealth