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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Published in:Journal of the Medical Library Association
Main Authors: Jonathan Hartmann, Linda Van Keuren
Format: Article in Journal/Newspaper
Language:English
Published: University Library System, University of Pittsburgh 2019
Subjects:
Z
R
DML
Online Access:https://doi.org/10.5195/jmla.2019.758
https://doaj.org/article/95f7f3863002490eade48d0671df0625
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spelling ftdoajarticles:oai:doaj.org/article:95f7f3863002490eade48d0671df0625 2023-05-15T16:01:29+02:00 Text mining for clinical support Jonathan Hartmann Linda Van Keuren 2019-10-01T00:00:00Z https://doi.org/10.5195/jmla.2019.758 https://doaj.org/article/95f7f3863002490eade48d0671df0625 EN eng University Library System, University of Pittsburgh http://jmla.pitt.edu/ojs/jmla/article/view/758 https://doaj.org/toc/1536-5050 https://doaj.org/toc/1558-9439 1536-5050 1558-9439 doi:10.5195/jmla.2019.758 https://doaj.org/article/95f7f3863002490eade48d0671df0625 Journal of the Medical Library Association, Vol 107, Iss 4 (2019) text mining clinical support informationist jmla virtual projects Bibliography. Library science. Information resources Z Medicine R article 2019 ftdoajarticles https://doi.org/10.5195/jmla.2019.758 2022-12-31T00:11:52Z 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. Virtual Projects are published on an annual basis in the Journal of the Medical Library Association (JMLA) following an annual call for virtual projects in MLAConnect and announcements to encourage submissions from all types of libraries. An advisory committee of recognized technology experts selects project entries based on their currency, innovation, and contribution to health sciences librarianship. Article in Journal/Newspaper DML Directory of Open Access Journals: DOAJ Articles Journal of the Medical Library Association 107 4
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic text mining
clinical support
informationist
jmla virtual projects
Bibliography. Library science. Information resources
Z
Medicine
R
spellingShingle text mining
clinical support
informationist
jmla virtual projects
Bibliography. Library science. Information resources
Z
Medicine
R
Jonathan Hartmann
Linda Van Keuren
Text mining for clinical support
topic_facet text mining
clinical support
informationist
jmla virtual projects
Bibliography. Library science. Information resources
Z
Medicine
R
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. Virtual Projects are published on an annual basis in the Journal of the Medical Library Association (JMLA) following an annual call for virtual projects in MLAConnect and announcements to encourage submissions from all types of libraries. An advisory committee of recognized technology experts selects project entries based on their currency, innovation, and contribution to health sciences librarianship.
format Article in Journal/Newspaper
author Jonathan Hartmann
Linda Van Keuren
author_facet Jonathan Hartmann
Linda Van Keuren
author_sort Jonathan Hartmann
title Text mining for clinical support
title_short 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_sort text mining for clinical support
publisher University Library System, University of Pittsburgh
publishDate 2019
url https://doi.org/10.5195/jmla.2019.758
https://doaj.org/article/95f7f3863002490eade48d0671df0625
genre DML
genre_facet DML
op_source Journal of the Medical Library Association, Vol 107, Iss 4 (2019)
op_relation http://jmla.pitt.edu/ojs/jmla/article/view/758
https://doaj.org/toc/1536-5050
https://doaj.org/toc/1558-9439
1536-5050
1558-9439
doi:10.5195/jmla.2019.758
https://doaj.org/article/95f7f3863002490eade48d0671df0625
op_doi https://doi.org/10.5195/jmla.2019.758
container_title Journal of the Medical Library Association
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