gms | German Medical Science

65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)

06.09. - 09.09.2020, Berlin (online conference)

Mapping of OpenEHR Archetypes and FHIR Resources with focus on semantic Interoperability in use case Oncology

Meeting Abstract

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  • Ina Brakollari - European Campus Rottal-Inn | THD – TH Deggendorf, Pfarrkirchen, Germany
  • Abdul Mateen - Highmed Cologne, Cologne, Germany

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS). Berlin, 06.-09.09.2020. Düsseldorf: German Medical Science GMS Publishing House; 2021. DocAbstr. 277

doi: 10.3205/20gmds215, urn:nbn:de:0183-20gmds2157

Veröffentlicht: 26. Februar 2021

© 2021 Brakollari et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Background: Exchanging data among Healthcare systems unambiguously is essential for the improvement of patient care and it requires mapping healthcare standards [1]. This research focuses on semantic interoperability between OpenEHR and FHIR open standards by exploring how it can be achieved. The main goal is to map the Archetypes with Resources that have the same semantics without using automatic tools that give results that may have different meaning [2].

Methods: Each archetype of the oncology has been identified in CKM of OpenEHR and the main elements that define its meaning are analyzed. From the other side in the FHIR specification the correspondent resource element is identified manually. The results are displayed in a mapping table.

Results: A mapping table that shows the archetype elements that are mapped to resource elements but also the archetypes that can not be mapped when the resource elements will not be able to be identified.

Possible solutions that can be followed in the cases where same elements can not be identified in FHIR [3].

For the objective of comparing the results from manual mapping to the automatic one an analysis of the results on both cases will be provided where the main differences between the results obtained will be discussed.

Conclusion: ·One archetype element can not be associated to many resource elements, but on the contrary one resource element can be mapped to multiple archetype elements.

  • Different elements of one single archetype can be mapped to multiple resources because a single FHIR resource does not cover all the information that a single archetype contains.
  • There are resources that overlap with each other and the boundaries are not strict in FHIR.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.


References

1.
Iroju O, Soriyan A, Gambo I, Olaleke J. Interoperability in Healthcare: Benefits, Challenges and Resolutions. International Journal of Innovation and Applied Studies. May 2013;3(1):262–270.
2.
Bosca D, Moner D, Maldonado J, Robles M. Combining Archetypes with Fast Health Interoperability Resources in Future-proof Health Information Systems. Stud Health Technol Inform. 2015;210:180-4.
3.
Clarke J M, Warren LR, Arora S, Barahona M, Darzi AW. Guiding interoperable electronic health records through patient-sharing networks. 2018. (NPJ Digital Medicine; 1).