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An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT

Objective Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) is the emergent international health terminology standard for encoding clinical information in electronic health records. The CORE Problem List Subset was created to facilitate the terminology’s implementation. This study eva...

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Detalles Bibliográficos
Autores principales: Fung, Kin Wah, Xu, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566198/
https://www.ncbi.nlm.nih.gov/pubmed/25725003
http://dx.doi.org/10.1093/jamia/ocu022
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author Fung, Kin Wah
Xu, Julia
author_facet Fung, Kin Wah
Xu, Julia
author_sort Fung, Kin Wah
collection PubMed
description Objective Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) is the emergent international health terminology standard for encoding clinical information in electronic health records. The CORE Problem List Subset was created to facilitate the terminology’s implementation. This study evaluates the CORE Subset’s coverage and examines its growth pattern as source datasets are being incorporated. Methods Coverage of frequently used terms and the corresponding usage of the covered terms were assessed by “leave-one-out” analysis of the eight datasets constituting the current CORE Subset. The growth pattern was studied using a retrospective experiment, growing the Subset one dataset at a time and examining the relationship between the size of the starting subset and the coverage of frequently used terms in the incoming dataset. Linear regression was used to model that relationship. Results On average, the CORE Subset covered 80.3% of the frequently used terms of the left-out dataset, and the covered terms accounted for 83.7% of term usage. There was a significant positive correlation between the CORE Subset’s size and the coverage of the frequently used terms in an incoming dataset. This implies that the CORE Subset will grow at a progressively slower pace as it gets bigger. Conclusion The CORE Problem List Subset is a useful resource for the implementation of Systematized Nomenclature of Medicine Clinical Terms in electronic health records. It offers good coverage of frequently used terms, which account for a high proportion of term usage. If future datasets are incorporated into the CORE Subset, it is likely that its size will remain small and manageable.
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spelling pubmed-55661982017-11-24 An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT Fung, Kin Wah Xu, Julia J Am Med Inform Assoc Research and Applications Objective Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) is the emergent international health terminology standard for encoding clinical information in electronic health records. The CORE Problem List Subset was created to facilitate the terminology’s implementation. This study evaluates the CORE Subset’s coverage and examines its growth pattern as source datasets are being incorporated. Methods Coverage of frequently used terms and the corresponding usage of the covered terms were assessed by “leave-one-out” analysis of the eight datasets constituting the current CORE Subset. The growth pattern was studied using a retrospective experiment, growing the Subset one dataset at a time and examining the relationship between the size of the starting subset and the coverage of frequently used terms in the incoming dataset. Linear regression was used to model that relationship. Results On average, the CORE Subset covered 80.3% of the frequently used terms of the left-out dataset, and the covered terms accounted for 83.7% of term usage. There was a significant positive correlation between the CORE Subset’s size and the coverage of the frequently used terms in an incoming dataset. This implies that the CORE Subset will grow at a progressively slower pace as it gets bigger. Conclusion The CORE Problem List Subset is a useful resource for the implementation of Systematized Nomenclature of Medicine Clinical Terms in electronic health records. It offers good coverage of frequently used terms, which account for a high proportion of term usage. If future datasets are incorporated into the CORE Subset, it is likely that its size will remain small and manageable. Oxford University Press 2015-05 2015-02-27 /pmc/articles/PMC5566198/ /pubmed/25725003 http://dx.doi.org/10.1093/jamia/ocu022 Text en Published by Oxford University Press on behalf of the American Medical Informatics Association 2015. This work is written by US Government employees and is in the public domain in the US.
spellingShingle Research and Applications
Fung, Kin Wah
Xu, Julia
An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT
title An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT
title_full An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT
title_fullStr An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT
title_full_unstemmed An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT
title_short An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT
title_sort exploration of the properties of the core problem list subset and how it facilitates the implementation of snomed ct
topic Research and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566198/
https://www.ncbi.nlm.nih.gov/pubmed/25725003
http://dx.doi.org/10.1093/jamia/ocu022
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