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Enriching a primary health care version of ICD-10 using SNOMED CT mapping
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-6468-2432
Karolinska Institutet. (Department of Neurobiology, Care Sciences and Society, Center for Family and Community Medicine)
Karolinska Institutet. (Department of Neurobiology, Care Sciences and Society, Center for Family and Community Medicine)
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
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2010 (English)In: Journal of Biomedical Semantics, ISSN 2041-1480, Vol. 1, no 7Article in journal (Refereed) Published
Abstract [en]

Background: In order to satisfy different needs, medical terminology systems musthave richer structures. This study examines whether a Swedish primary health careversion of the mono-hierarchical ICD-10 (KSH97-P) may obtain a richer structureusing category and chapter mappings from KSH97-P to SNOMED CT and SNOMEDCT’s structure. Manually-built mappings from KSH97-P’s categories and chapters toSNOMED CT’s concepts are used as a starting point

Results: The mappings are manually evaluated using computer-producedinformation and a small number of mappings are updated. A new and polyhierarchicalchapter division of KSH97-P’s categories has been created using thecategory and chapter mappings and SNOMED CT’s generic structure. In the newchapter division, most categories are included in their original chapters. Aconsiderable number of concepts are included in other chapters than their originalchapters. Most of these inclusions can be explained by ICD-10’s design. KSH97-P’scategories are also extended with attributes using the category mappings andSNOMED CT’s defining attribute relationships. About three-fourths of all conceptsreceive an attribute of type Finding site and about half of all concepts receive anattribute of type Associated morphology. Other types of attributes are less common.

Conclusions: It is possible to use mappings from KSH97-P to SNOMED CT andSNOMED CT’s structure to enrich KSH97-P’s mono-hierarchical structure with a polyhierarchicalchapter division and attributes of type Finding site and Associatedmorphology. The final mappings are available as additional files for this paper.

Place, publisher, year, edition, pages
London, United Kingdom: BioMed Central, 2010. Vol. 1, no 7
National Category
Medical and Health Sciences Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-58030DOI: 10.1186/2041-1480-1-7PubMedID: 20618919OAI: oai:DiVA.org:liu-58030DiVA: diva2:331245
Available from: 2010-07-21 Created: 2010-07-21 Last updated: 2014-11-13
In thesis
1. Enrichment of Terminology Systems for Use and Reuse in Medical Information Systems
Open this publication in new window or tab >>Enrichment of Terminology Systems for Use and Reuse in Medical Information Systems
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Electronic health record systems (EHR) are used to store relevant heath facts about patients. The main use of the EHR is in the care of the patient, but an additional use is to reuse the EHR information to locate and evaluate clinical evidence for treatments. To efficiently use the EHR information it is essential to use appropriate methods for information compilations. This thesis deals with use of information in medical terminology systems and ontologies to be able to better use and reuse EHR information and other medical information.

The first objective of the thesis is to examine if word alignment on bilingual English-Swedish rubrics from five medical terminology systems can be used to build a bilingual dictionary. A study found that it was possible to generate a dictionary with 42 000 entries containing a high proportion of medical entries using word alignment. The method worked best using sets of rubrics with many unique words that are consistently translated. The dictionary can be used as a general medical dictionary, for use in semi-automatic translation methods, for use in cross-language information retrieval systems, and for enrichment of other terminology systems.

The second objective of the thesis is to explore how connections from existing terminology systems and information models to SNOMED CT and the structure in SNOMED CT can be used to reuse information. A study examined whether the primary health care diagnose terminology system KSH97-P can obtain a richer structure using category and chapter mappings from KSH97-P to SNOMED CT and the structure in SNOMED CT. The study showed that KSH97-P can be enriched with a poly-hierarchical chapter division and additional attributes. The richer structure was used to compile statistics in new manners that showed new views of the primary care diagnoses. A literature study evaluated which kinds of information compilations those are necessary to create graphical patient overviews based on information from EHRs. It was found that a third of the patient overviews can have their information needs satisfied using compilations based on SNOMED CT encodings of the information entities in the EHR and the structure in SNOMED CT. The other overviews also need access to individual values in the EHR. This can be achieved by using well-defined information models in the EHR.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2010. 79 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1335
National Category
Computer and Information Science
Identifiers
urn:nbn:se:liu:diva-58621 (URN)978-91-7393-328-5 (ISBN)
Public defence
2010-09-10, Eken, Campus US, Linköpings universitet, Linköping, 09:00 (English)
Opponent
Supervisors
Available from: 2010-08-30 Created: 2010-08-18 Last updated: 2015-09-22Bibliographically approved

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Nyström, MikaelÅhlfeldt, HansÖrman, Håkan

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