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
Ladda ner artikelIngår 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
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.
[1] Xiao L, Cousins G, Courtney B, Hederman L, Fahey T, Dimitrov BD. Developing an electronic health record (EHR) for methadone treatment recording and decision support. BMC Medical Informatics and Decision Making. 2011 Feb 1;11:5. doi: 10.1186/1472-6947-11-5
[2] Späth MB, Grimson J. Applying the archetype approach to the database of a biobank information management system. International Journal of Medical Informatics 2011 Mar;80(3):205-26. doi: 10.1016/j.ijmedinf.2010.11.002
[3] Hägglund M, Chen R, Koch S. Modeling shared care plans using CONTsys and openEHR to support shared homecare of the elderly. Journal of the American Medical Informatics Association. 2011 Jan-Feb;18(1):66-9. doi: 10.1136/jamia.2009.000216
[4] openEHR Architecture Overview. Release-1.0.3 London: The openEHR Foundation; 2015 Available from: http://www.openehr.org/releases/BASE/Release-1.0.3/ docs/architecture_overview/architecture_overview.html
[5] Archetype Query Language (AQL), London: The openEHR Foundation; 2015 [cited 2016 Mar 21] Available from: http://openehr.org/releases/QUERY/latest/docs/ AQL/AQL.html
[6] Garde S, Knaup P, Hovenga E, Heard S. Towards semantic interoperability for electronic health records. Methods of Information in Medicine. 2007, 46:332-43. doi: 10.1160/ME5001
[7] International Health Terminology Standards Development Organisation. SNOMED CT® User Guide. July 2012 International Release [Internet]. Copenhagen: The Organisa-tion; 2012 Jul 31 [cited 2013 Jan 7] Available from: http://ihtsdo.org/fileadmin/user_upload/doc/download/doc_UserGuide_Current-en-US_INT_20120731.pdf
[8] Arikan S. Is openEHR hard? 2014 Oct 5 [Internet] http://serefarikan.com/2014/10/05/is-openehr-hard/
[9] Beale T. The Health Record - why is it so hard? In: Haux R, Kulikowski C, editors. IMIA Yearbook of Medical Informatics 2005. Stuttgart: Schattauer; 2004. p. 301-4.
[10] Atalag K, Yang HY, Warren J. Assessment of Software Maintainability of openEHR Based Health Information Systems – A Case Study In Endoscopy. Electronic Journal of Health Informatics. 2012; 7:12. Available from: http://www.ejhi.net/ojs/index.php/ejhi/article/view/156
[11] Beale T, editor. Archetype Object Model 2 (AOM2) Specification. Issue 2.0.6. London: The openEHR Founda-tion; 2016. Available from: http://www.openehr.org /releases/AM/latest/docs/AOM2/AOM2.html
[12] The openEHR Reference Model: EHR Information Model. Release-1.0.3. London: The openEHR Foundation; 2015. Available from http://www.openehr.org /releases/RM/Release-1.0.3/docs/ehr/ehr.html
[13] Shneiderman B. The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In: Proceedings of the IEEE Symposium on Visual Languages. Washington: IEEE Computer Society Press; 1996. p 336-43.
[14] Sundvall E, Nyström M, Karlsson D, Eneling M, Chen R, Örman H. Applying representational state transfer (REST) architecture to archetype-based electronic health record systems. BMC Medical Informatics and Decision 2013; 13:57 DOI: 10.1186/1472-6947-13-57
[15] Kalra D, Tapuria A, Austin T, De Moor G. Quality requirements for EHR archetypes. Studies in Health Technology and Informatics. 2012;180:48-52.
[16] Kashfi H. Applying a user centered design methodology in a clinical context. Studies in Health Technology and Informatics. 2010;160(Pt 2):927-31.