Visualization of disease distribution with SNOMED CT and ICD-10.
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.
Nyström
Mikael
M
Department of Biomedical Engineering, Linköping University, Sweden. mikael.nystrom@liu.se
Vikström
Anna
A
Nilsson
Gunnar
G
Orman
Håkan
H
Ahlfeldt
Hans
H
D003695:Delivery of Health Care; D004194:Disease; D006801:Humans; D038801:International Classification of Diseases; D016347:Medical Records Systems, Computerized; D039061:Systematized Nomenclature of Medicine; D017432:Unified Medical Language System