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Translating openEHR Models to FHIR.

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This study bridges the gap between openEHR and Fast Healthcare Interoperability Resources (FHIR) clinical data standards. It translates openEHR data models into FHIR, benefiting both communities by improving interoperability.

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Area of Science:

  • Health Informatics
  • Clinical Data Standards
  • Interoperability

Background:

  • openEHR and Fast Healthcare Interoperability Resources (FHIR) are prominent clinical data standards.
  • These standards are often perceived as incompatible, hindering seamless data exchange.
  • Bridging approaches can offer significant advantages to both openEHR and FHIR communities.

Purpose of the Study:

  • To explore the commonalities between openEHR and FHIR data models.
  • To develop a method for translating openEHR data models into FHIR data models.
  • To facilitate greater interoperability between systems using these standards.

Main Methods:

  • Analysis of openEHR data model structures.
  • Mapping openEHR archetypes and templates to FHIR resources and profiles.
  • Development of transformation rules for data model conversion.

Main Results:

  • Demonstration of a feasible translation process from openEHR to FHIR data models.
  • Identification of key similarities and differences to guide the translation.
  • Successful conversion of specific openEHR models into FHIR.

Conclusions:

  • openEHR and FHIR data models are more compatible than commonly assumed.
  • Translation of openEHR models to FHIR is achievable and beneficial.
  • This work supports enhanced data exchange and collaboration between openEHR and FHIR ecosystems.