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Text mining for clinical support

BACKGROUND: In 2013, the Dahlgren Memorial Library (DML) at the Georgetown University Medical Center began using text mining software to enable its clinical informationists to quickly retrieve specific, relevant information from MEDLINE abstracts while on patient rounds. DESCRIPTION: In 2013, DML li...

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Detalles Bibliográficos
Autores principales: Hartmann, Jonathan, Van Keuren, Linda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medical Library Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774535/
https://www.ncbi.nlm.nih.gov/pubmed/31607821
http://dx.doi.org/10.5195/jmla.2019.758
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author Hartmann, Jonathan
Van Keuren, Linda
author_facet Hartmann, Jonathan
Van Keuren, Linda
author_sort Hartmann, Jonathan
collection PubMed
description BACKGROUND: In 2013, the Dahlgren Memorial Library (DML) at the Georgetown University Medical Center began using text mining software to enable its clinical informationists to quickly retrieve specific, relevant information from MEDLINE abstracts while on patient rounds. DESCRIPTION: In 2013, DML licensed the use of the Linguamatics I2E text-mining program, and DML’s clinical informationist began using it to text mine MEDLINE abstracts on patient rounds. In 2015, DML installed I2E on a server at Georgetown and negotiated with Elsevier to obtain the right to download and text mine the full text of clinical journals in ScienceDirect to support clinical decision making. In 2016, the license agreements for the New England Journal of Medicine and the BMJ platform were modified to allow text mining. In 2018, PubMed Central open access content was added to the Linguamatics license. RESULTS: DML’s informationists found that they were able to quickly find useful information that was not retrievable by traditional methods, and clinicians reported the information was valuable. CONCLUSION: The ability to text mine MEDLINE abstracts and selected journal articles on patient rounds has allowed DML’s clinical informationists to quickly search large amounts of medical literature that can be used to answer physicians’ clinical questions. DML plans to acquire additional journal articles from selected publishers in the future, which should increase the usefulness of the project.
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spelling pubmed-67745352019-10-11 Text mining for clinical support Hartmann, Jonathan Van Keuren, Linda J Med Libr Assoc Virtual Projects BACKGROUND: In 2013, the Dahlgren Memorial Library (DML) at the Georgetown University Medical Center began using text mining software to enable its clinical informationists to quickly retrieve specific, relevant information from MEDLINE abstracts while on patient rounds. DESCRIPTION: In 2013, DML licensed the use of the Linguamatics I2E text-mining program, and DML’s clinical informationist began using it to text mine MEDLINE abstracts on patient rounds. In 2015, DML installed I2E on a server at Georgetown and negotiated with Elsevier to obtain the right to download and text mine the full text of clinical journals in ScienceDirect to support clinical decision making. In 2016, the license agreements for the New England Journal of Medicine and the BMJ platform were modified to allow text mining. In 2018, PubMed Central open access content was added to the Linguamatics license. RESULTS: DML’s informationists found that they were able to quickly find useful information that was not retrievable by traditional methods, and clinicians reported the information was valuable. CONCLUSION: The ability to text mine MEDLINE abstracts and selected journal articles on patient rounds has allowed DML’s clinical informationists to quickly search large amounts of medical literature that can be used to answer physicians’ clinical questions. DML plans to acquire additional journal articles from selected publishers in the future, which should increase the usefulness of the project. Medical Library Association 2019-10 2019-10-01 /pmc/articles/PMC6774535/ /pubmed/31607821 http://dx.doi.org/10.5195/jmla.2019.758 Text en Copyright: © 2019, Authors. Articles in this journal are licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Virtual Projects
Hartmann, Jonathan
Van Keuren, Linda
Text mining for clinical support
title Text mining for clinical support
title_full Text mining for clinical support
title_fullStr Text mining for clinical support
title_full_unstemmed Text mining for clinical support
title_short Text mining for clinical support
title_sort text mining for clinical support
topic Virtual Projects
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774535/
https://www.ncbi.nlm.nih.gov/pubmed/31607821
http://dx.doi.org/10.5195/jmla.2019.758
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