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To be able to exchange clinical information in a semantically safe way across different openEHR-based systems, it is important to agree on the clinical concepts used in these systems. In openEHR, such concepts are formally expressed in archetypes and developed in regional, national and international collaboration. It is crucial that clinicians - even without any knowledge of openEHR - are inherently involved in this process by being able to review and comment as required. Only this can ensure that the clinical content models are clinically valid and comprehensive. To enable this collaboration, the Clinical Knowledge Manager (CKM) has been developed as a web-based system for collaborative development, management, validation, review and publishing of openEHR archetypes and other clinical knowledge resources. CKM is used internationally by the openEHR foundation as well as in several regional and national programmes. CKM supports the 'federation' of archetypes, so that the various programmes can work independently and to their own timelines, while sharing archetypes with each other where possible.

HL7 FHIR, openEHR and openEHRIHE: perspectives on coexistence and collaboration (Erik Sundvall and Ian McNicoll and - with input from Koray Atalag and Borut Fabjan)

The HL7 FHIR standard has many benefits over some previous HL7 approaches and is gaining a lot of attention and implementation. There is also FHIR-hype, usually not from the core team behind FHIR, but from others hoping that FHIR will solve (almost) all healthcare information interoperability needs. We will highlight some differences and commonalities between the FHIR and openEHR approaches and exemplify how context of use and political/business views influences the short- and long-term benefits of different options and combinations. Some systems based on openEHR are succesfully used in IHR.profiled environments and some are IHE-certified, we'll also discuss such options and combinations.

Development of an openEHR-based Open Source EHR Platform and openEHR EMR frameworks (Pablo Pazos Guiterez)

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