Pitfalls when integrating terminology systems and EHRs
| Forfattere | Louise Pape-Haugaard, Anne R Rasmussen, Kirstine H Rosenbeck, Stig Kjær Andersen |
| Publikasjon | Scandinavian Conference on Health Informatics |
| Publiseringsår | 2010 |
| Sidetall intervall | 34-38 |
| Nøkkelord | Terminology as Topic, Computerized communication networks, Medical Informatics* and Medical Records*. |
| ISBN/ISBN2 | 978-82-519-2606-5/ |
| Sjanger | Helse |
| Kategori | Helse |
| Redaktør | Ann Bygholm, Pia Elberg, Ole Hejlesen |
| Utgiver | Tapir Akademisk Forlag |
| Adresse utgiver | Tapir Akademisk Forlag Nardoveien 12, Trondheim |
| Språk | English |
Abstrakt
Exchange and re-use of data and information is key when seeking semantic interoperability across heterogeneous EHRs. In eHealth communities there is a great focus on designing and implementing interoperable and useful EHRs. Furthermore, a focus on development of comprehensive terminology systems to achieve a common description of clinical concepts exists. However, these efforts are done in parallel and unknown pitfalls surface when integrating massive systems. The objective of this paper addresses the role of terminology systems and EHRs when seeking semantic interoperability across heterogeneous EHRs. We highlight pitfalls and the consequences of these. The methodology used consists of a review of the scientific literature on EHRs and terminology systems followed by a workshop with practitioners conformed to the result of the review. The results indicate one major pitfall: ambiguity. This pitfall has more facets; both multiple mappings and semantic ambiguity. A severe consequence of these can be misinterpretation of meaning and intend with a given concept.Referanser
Hammond WE. Realizing the potential of healthcare information technology to enhance global health. In Adlassnig KP, Blobel B, Mantas J, Masic I. MIE2009. Amsterdam: IOS press; 2009. p. 8-13.Powsner S, Wyatt J, Wright P. Opportunities for and challenges of computerization. The Lancet. 1998 November 14; 352(9140): p. 1617-22.
Blobel B, Pharowm P. Analysis and Evaluations of EHR approaches. Methods of Information in Medicine. 2009: p. 162-169.
Sato L, Luhn K. CEN/ISO 13606 Pilot Study Final Report. NHS Connecting for Health; 2007.
HL7. HL7 Reference Information Model. [Online].; 2009 [cited 2009 October: http://www.hl7.org/implement/ standards/rim.cfm .]
Qumar R, Rector A. Semantic issues when integrating data from different models to achieve data interoperability. In Kuhns K, Warren J, Leong TY. MedInfo. Amsterdam: IOS press; 2007.
Garde S, Knaup P, Hovenga EJS, Hear S. Towards Semantic Interoperability for Electronic Health Records. 2009; 48(4).
Eichelberg M, Aden T, Riesmeier J. A Survey and Analysis of Electronic Healthcare Record Standards. 2005; 37(4).
IHTSDO. International Health Terminology Standard Development Organisation. [Online].; 2009 [cited 2009 October http://www.ihtsdo.org/snomed-ct/ .]
Cornet R, Keizer N. Forty years of SNOMED: a literature review. BMC Med Inform Decis Mak. 2008 October; 8.
Dolin R, Spackman K, Markwell D. Selective retrieval of pre- and post-coordinated SNOMED concepts. In AMIA; 2002. p. 210-214.
Rodrigues J, Rosse C, Kumar A, Bousquet C, Trombert B. Standars and Biomedical Terminologies: the CEN TC 251 and ISO TC 215 Categorial Structures. A step towards increased interoperability. In Andersen SK.. Amsterdam: IOS Press; 2008.
Rodrigues J, Rosse C, Fogelberg M, Kumar A, Trombert B. A Road from Health Care Classifications and Coding Systems to Biomedical Ontology: the CEN Categorial Structure for Terminologies af Human Anatomy: Catanet. In Kuhn K.. Amsterdam: IOS Press; 2007.
Ryan A, Eklund P, Esler B. Toward the Interoperability of HL7 v3 and SNOMED CT: A Case Study Modeling Mobile Clinical Treatment. In Kuhn K. MedInfo 2007. Amsterdam: IOS Press; 2007.
Chen E, Zhou L, Kashyap V, Schaeffer M, Dykes P, Goldberg H. Early Experiences in Evolving an Enterprise-Wide Information Model for Laboratory and Clinical Observations. In ; 2008: AMIA.
Liaw S, Sulaiman N, Pearce C, Sims J, Hill K, Grain H, et al. Falls Prevention within the Australian General Practice Data Model: Methodology, Information Model, and Terminology Issues. In ; 2003.
Qumar R, Kola J, Rector A. Unambigious data modeling to ensure higher accuracy term binding to clinical terminologies. In AMIA; 2007. p. 608-613.
Kalra D, Blobel B. Semantic Interoperability of EHR Systems. In ; 2007; Amsterdam: IOS Press.
Bernstein K et al. Can openEHR archetypes be used in a National Context? The Danish Archetype proof-ofconcept Project. In Adlassnig KP, Blobel B, Mantas J, Masic I. MIE2009. Amsterdam: IOS press; 2009.
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