Visualization of disease distribution with SNOMED CT and ICD-10
2010 (English)In: MEDINFO 2010 - Proceedings of the 13th World Congress on Medical Informatics / [ed] Safran, Charles; Reti, Shane; Marin, Heimar, Amsterdam: I O S Press , 2010, Vol. 160, 1100-1103 p.Conference paper (Refereed)
Methods for presentation of disease and health problem distribution in a health care environment rely among other things on the inherent structure of the controlled terminology used for coding. In the present study, this aspect is explored with a focus on ICD-10 and SNOMED CT. The distribution of 2,5 million diagnostic codes from primary health care in the Stockholm region is presented and analyzed through the “lenses” of ICD-10 and SNOMED CT. The patient encounters, originally coded with a reduced set of ICD-10 codes used in primary health care in Sweden, were mapped to SNOMED CT concepts through a mapping table. The method used for utilizing the richer structure of SNOMED CT as compared to ICD-10 is presented, together with examples of produced disease distributions. Implications of the proposed method for enriching a traditional classification such as ICD-10 through mappings to SNOMED CT are discussed.
Place, publisher, year, edition, pages
Amsterdam: I O S Press , 2010. Vol. 160, 1100-1103 p.
, Studies in Health Technology and Informatics, ISSN 0926-9630, EISSN 1879-8365 ; 160
Visualization, Disease distribution, Health problems, ICD-10, SNOMED CT, Terminology models
Computer and Information Science Public Health, Global Health, Social Medicine and Epidemiology
IdentifiersURN: urn:nbn:se:liu:diva-60128DOI: 10.3233/978-1-60750-588-4-1100PubMedID: 20841854ISBN: 978-1-60750-587-7OAI: oai:DiVA.org:liu-60128DiVA: diva2:355241
13th International Congress on Medical Informatics (MEDINFO 2010), 12-15 September 2010, Cape Town, South Africa