Approaches to Learning openEHR: a Qualitative Survey, Observations, and Suggestions

Erik Sundvall
Department of Biomedical Engineering, Linköping University, Linköping, Sweden / Region Östergötland, Linköping, Sweden

Dominique Siivonen
Department of Biomedical Engineering, Linköping University, Linköping, Sweden

Håkan Örman
Department of Biomedical Engineering, Linköping University, Linköping, Sweden

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Ingår i: Proceedings from The 14th Scandinavian Conference on Health Informatics 2016, Gothenburg, Sweden, April 6-7 2016

Linköping Electronic Conference Proceedings 122:5, s. 29-36

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Publicerad: 2016-03-31

ISBN: 978-91-7685-776-2

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


Approaches such as ISO 13606 and openEHR aim to address data reusability by defining clinical data structures called archetypes and templates, based on a reference model. A problem with these approaches is that parts of them currently are rather difficult to learn. It can be hard to imagine what an archetype-based clinical system combined with modern terminology systems will look like and what consequences different modeling choices have, without seeing and experimenting with an operational system. This paper reports findings from a survey among openEHR learners and educators combined with observations of related openEHR mailing list discussions. The paper ends with an opinion piece, where we discuss potentially fruitful ways to learn, explore, and extend archetype-based EHR systems using visualization and examples. The findings highlight potential stumble blocks and solutions and should be of interest for both educators and self-learners.


electronic health records; software; learning; standards


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