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Automated Determination of Publications Related to Adverse Drug Reactions in PubMed

Timely dissemination of up-to-date information concerning adverse drug reactions (ADRs) at the point of care can significantly improve medication safety and prevent ADRs. Automated methods for finding relevant articles in MEDLINE which discuss ADRs for specific medications can facilitate decision ma...

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Detalles Bibliográficos
Autores principales: Adams, Hayden, Friedman, Carol, Finkelstein, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525279/
https://www.ncbi.nlm.nih.gov/pubmed/26306227
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author Adams, Hayden
Friedman, Carol
Finkelstein, Joseph
author_facet Adams, Hayden
Friedman, Carol
Finkelstein, Joseph
author_sort Adams, Hayden
collection PubMed
description Timely dissemination of up-to-date information concerning adverse drug reactions (ADRs) at the point of care can significantly improve medication safety and prevent ADRs. Automated methods for finding relevant articles in MEDLINE which discuss ADRs for specific medications can facilitate decision making at the point of care. Previous work has focused on other types of clinical queries and on retrieval for specific ADRs or drug-ADR pairs, but little work has been published on finding ADR articles for a specific medication. We have developed a method to generate a PubMED query based on MESH, supplementary concepts, and textual terms for a particular medication. Evaluation was performed on a limited sample, resulting in a sensitivity of 90% and precision of 93%. Results demonstrated that this method is highly effective. Future work will integrate this method within an interface aimed at facilitating access to ADR information for specified drugs at the point of care.
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spelling pubmed-45252792015-08-24 Automated Determination of Publications Related to Adverse Drug Reactions in PubMed Adams, Hayden Friedman, Carol Finkelstein, Joseph AMIA Jt Summits Transl Sci Proc Articles Timely dissemination of up-to-date information concerning adverse drug reactions (ADRs) at the point of care can significantly improve medication safety and prevent ADRs. Automated methods for finding relevant articles in MEDLINE which discuss ADRs for specific medications can facilitate decision making at the point of care. Previous work has focused on other types of clinical queries and on retrieval for specific ADRs or drug-ADR pairs, but little work has been published on finding ADR articles for a specific medication. We have developed a method to generate a PubMED query based on MESH, supplementary concepts, and textual terms for a particular medication. Evaluation was performed on a limited sample, resulting in a sensitivity of 90% and precision of 93%. Results demonstrated that this method is highly effective. Future work will integrate this method within an interface aimed at facilitating access to ADR information for specified drugs at the point of care. American Medical Informatics Association 2015-03-25 /pmc/articles/PMC4525279/ /pubmed/26306227 Text en ©2015 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Adams, Hayden
Friedman, Carol
Finkelstein, Joseph
Automated Determination of Publications Related to Adverse Drug Reactions in PubMed
title Automated Determination of Publications Related to Adverse Drug Reactions in PubMed
title_full Automated Determination of Publications Related to Adverse Drug Reactions in PubMed
title_fullStr Automated Determination of Publications Related to Adverse Drug Reactions in PubMed
title_full_unstemmed Automated Determination of Publications Related to Adverse Drug Reactions in PubMed
title_short Automated Determination of Publications Related to Adverse Drug Reactions in PubMed
title_sort automated determination of publications related to adverse drug reactions in pubmed
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525279/
https://www.ncbi.nlm.nih.gov/pubmed/26306227
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