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Semantic modeling of a traditional classification: results and implications
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Centre of Medical Informatics in General Practice, Stockholm County Council, Sweden.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Centre of Medical Informatics in General Practice, Stockholm County Council, Sweden.
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1998 (English)In: Medinfo ‘98: Proceedings of the Ninth World Congress on Medical Informatics / [ed] Cesnik, B., McCray, A.T., Scherrer, J.-R., Australia: IOS Press , 1998, 613-617 p.Conference paper, Published paper (Refereed)
Abstract [en]

A primary health care version of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), together with a three-dimensional model for classification of diseases according to locations, origin, and type has been semantically represented. The resulting computer-based version is made available via the World Wide Web.

Place, publisher, year, edition, pages
Australia: IOS Press , 1998. 613-617 p.
Series
Studies in Health Technology and Informatics, 52
Keyword [en]
informations systems, diagnosis classification, primary health care, medical informatics
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-29900Local ID: 15322ISBN: 978-90-5199-407-0 (print)OAI: oai:DiVA.org:liu-29900DiVA: diva2:250719
Conference
MEDINFO '98, 9th World Congress on Medical Informatics, 1998 August 18-22, Seoul, South Korea
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2013-02-20
In thesis
1. On information quality in primary health care registries
Open this publication in new window or tab >>On information quality in primary health care registries
2003 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Data compilation has a long history in the field of medicine, and domains for which data are pooled include, among others, epidemiological studies and quality assessment. Unfortunately, data may be of low quality with poor validity and reliability, and consequently, decisions based on statistics may be unreliable. The range of applications of information use and reuse is expected to extend from aggregation of information to retrieval of specific cases, which further emphasizes the importance of high quality data. The present thesis deals with aspects of information quality in Swedish primary health care registries. Such information is commonly encoded according to standardized coding systems.

In order to improve coding quality, it is necessary to study the content, structure, and semantics of the coding systems, as well as the functionality of the tools used to access them. In particular, the thesis discusses the effect of the coding system structure - as an instrument for code retrieval as well as data aggregation - on the reliability of coding. In summary, the functionality of a tool that supports coding of medical problems must meet numerous requirements. Flexible structures for browsing the coding system and different types of lexical tools are needed, as are rules for guiding the correct choice of code with respect to a particular medical problem. As an instrument for data compilation, the structure of the coding system may support aggregation in ways that reflect dimension with low variability.

The main contribution of this thesis is to increase understanding of the complexity of disease concepts and the coding systems used for representing them. In addition, it also encompasses the measurements of reliability in coded Swedish primary health care data that were carried out in both a smaller prospective and a larger retrospective study. Further, the thesis proposes a metric for retrospective reliability studies. Finally, the presented coding tool - the Classification Browser - is in itself a platform for further discussion and development in the domain of diagnostic coding.

Place, publisher, year, edition, pages
Linköping: Linköpings universitet, 2003. 65 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 805
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-24499 (URN)6623 (Local ID)91-7373-612-0 (ISBN)6623 (Archive number)6623 (OAI)
Public defence
2003-04-11, Patologsalen, Universitetssjukhuset, Linköping, 09:15 (Swedish)
Opponent
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2013-02-20

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Petersson, HåkanÅhlfeldt, HansWigertz, Ove

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