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Eliciting the Intension of Drug Value Sets – Principles and Quality Assurance Applications

Value sets (VSs) used in electronic clinical quality measures are lists of codes from standard terminologies (“extensional” VSs), whose purpose (“intension”) is not always explicitly stated. We elicited the intension for the 09/01/2014 release of extensional medication value sets by comparison to dr...

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Autores principales: Bahr, Nathan J., Nelson, Scott D., Winnenburg, Rainer, Bodenreider, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5881398/
https://www.ncbi.nlm.nih.gov/pubmed/29295218
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author Bahr, Nathan J.
Nelson, Scott D.
Winnenburg, Rainer
Bodenreider, Olivier
author_facet Bahr, Nathan J.
Nelson, Scott D.
Winnenburg, Rainer
Bodenreider, Olivier
author_sort Bahr, Nathan J.
collection PubMed
description Value sets (VSs) used in electronic clinical quality measures are lists of codes from standard terminologies (“extensional” VSs), whose purpose (“intension”) is not always explicitly stated. We elicited the intension for the 09/01/2014 release of extensional medication value sets by comparison to drug classes from the October 2014 release of RxClass. Value sets matched drug classes if they shared common ingredients, as evidenced by Jaccard similarity score. We elicited the intension of 80 extensional value sets. The average Jaccard similarity was 0.65 for single classes and 0.80 for combination classes, with 34% (27/80) of the value sets having high similarity scores. Manual review by a pharmacist indicated 51% (41/80) of the drug classes selected as the best mapping for a value set matched the intension reflected in that value set name. This approach has the potential for facilitating the development and maintenance of medication value sets.
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spelling pubmed-58813982018-04-03 Eliciting the Intension of Drug Value Sets – Principles and Quality Assurance Applications Bahr, Nathan J. Nelson, Scott D. Winnenburg, Rainer Bodenreider, Olivier Stud Health Technol Inform Article Value sets (VSs) used in electronic clinical quality measures are lists of codes from standard terminologies (“extensional” VSs), whose purpose (“intension”) is not always explicitly stated. We elicited the intension for the 09/01/2014 release of extensional medication value sets by comparison to drug classes from the October 2014 release of RxClass. Value sets matched drug classes if they shared common ingredients, as evidenced by Jaccard similarity score. We elicited the intension of 80 extensional value sets. The average Jaccard similarity was 0.65 for single classes and 0.80 for combination classes, with 34% (27/80) of the value sets having high similarity scores. Manual review by a pharmacist indicated 51% (41/80) of the drug classes selected as the best mapping for a value set matched the intension reflected in that value set name. This approach has the potential for facilitating the development and maintenance of medication value sets. 2017 /pmc/articles/PMC5881398/ /pubmed/29295218 Text en http://creativecommons.org/licenses/by-nc/4.0/ This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
spellingShingle Article
Bahr, Nathan J.
Nelson, Scott D.
Winnenburg, Rainer
Bodenreider, Olivier
Eliciting the Intension of Drug Value Sets – Principles and Quality Assurance Applications
title Eliciting the Intension of Drug Value Sets – Principles and Quality Assurance Applications
title_full Eliciting the Intension of Drug Value Sets – Principles and Quality Assurance Applications
title_fullStr Eliciting the Intension of Drug Value Sets – Principles and Quality Assurance Applications
title_full_unstemmed Eliciting the Intension of Drug Value Sets – Principles and Quality Assurance Applications
title_short Eliciting the Intension of Drug Value Sets – Principles and Quality Assurance Applications
title_sort eliciting the intension of drug value sets – principles and quality assurance applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5881398/
https://www.ncbi.nlm.nih.gov/pubmed/29295218
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