EHDS Logical Information Models
1.0.0 - release
EHDS Logical Information Models, published by Xt-EHR. This guide is not an authorized publication; it is the continuous build for version 1.0.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/Xt-EHR/xt-ehr-common/ and changes regularly. See the Directory of published versions
The Xt-EHR Logical Information Models guide includes computable data models developed for implementing EHDS priority categories:
All models are developed from eHealth Network guidelines and X-eHealth project and refined to be machine-processable and consistent with eachother.
Obligations models are a layer on top of logical models, proposing system requirements for supporting data elements.
The focus of the guides is logical models in different representations (see How to read this guide). While the implementation guide uses HL7 FHIR tooling for publishing, the models themselves are technology-agnostic and they are not tied to HL7 FHIR resources. These models can be used for designing services or self-assessing the conformity to future EHDS requirements and recommendations. The models represent the requirements for interoperability software component and therefore designed for data exchange. They are not covering all details and relationships needed for information system's data base design, logging and provenance requirements, or internal workflows.
Requirements for implementers are proposed as Obligation models - derivations of logical models containing producer and consumer obligations.
In addition to models and obligations, links to related HL7 FHIR specifications are provided. Referenced HL7 Europe FHIR implementation guides are based on Xt-EHR logical models, and the mapping to logical model elements is provided in the FHIR implementation guides. HL7 Europe FHIR IGs replicate the obligations in FHIR resources.
The models are designed for a wider audience than HL7 FHIR implementation guides. Within this guide, multiple presentations (including simplified mindmap-like diagrams) are provided to target different readers and their needs.
The logical information models are useful for: