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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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 |
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Directory of Open Access Journals: DOAJ Articles |
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text mining clinical support informationist jmla virtual projects Bibliography. Library science. Information resources Z Medicine R |
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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 |
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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 |
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DML |
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DML |
op_source |
Journal of the Medical Library Association, Vol 107, Iss 4 (2019) |
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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 |
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Journal of the Medical Library Association |
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107 |
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4 |
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