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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Publicado en:Journal of the Medical Library Association Vol. 107; no. 4; pp. 603 - 606
Autores principales: Hartmann, Jonathan, Van Keuren, Linda
Formato: Journal Article
Publicado: University of Pittsburgh, University Library System Oct2019
Acceso en línea:Ver este registro en EBSCOhost
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      pub: University of Pittsburgh, University Library System
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        atl: Text mining for clinical support.
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          Hartmann, Jonathan
          Van Keuren, Linda
        affil: Director of Clinical Integration Services & Data Discovery, Dahlgren Memorial Library, Georgetown University Medical Center, 3900 Reservoir Road Northwest, Washington, DC 20057-1420
      sug:
        subj:
          Libraries, Health Sciences
          Data Mining
          Decision Support Systems, Clinical
          Patient Rounds
          Natural Language Processing
          Medline
          PubMed
      ab: 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.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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