Automatic identification of comparative effectiveness research from medline citations to support clinicians' treatment information needs

Mingyuan Zhang*, Guilherme Del Fiol, Randall W. Grout, Siddhartha Jonnalagadda, Richard Medlin, Rashmi Mishra, Charlene Weir, Hongfang Liu, Javed Mostafa, Marcelo Fiszman

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations

    Abstract

    Online knowledge resources such as Medline can address most clinicians' patient care information needs. Yet, significant barriers, notably lack of time, limit the use of these sources at the point of care. The most common information needs raised by clinicians are treatment-related. Comparative effectiveness studies allow clinicians to consider multiple treatment alternatives for a particular problem. Still, solutions are needed to enable efficient and effective consumption of comparative effectiveness research at the point of care. Objective: Design and assess an algorithm for automatically identifying comparative effectiveness studies and extracting the interventions investigated in these studies. Methods: The algorithm combines semantic natural language processing, Medline citation metadata, and machine learning techniques. We assessed the algorithm in a case study of treatment alternatives for depression. Results: Both precision and recall for identifying comparative studies was 0.83. A total of 86% of the interventions extracted perfectly or partially matched the gold standard. Conclusion: Overall, the algorithm achieved reasonable performance. The method provides building blocks for the automatic summarization of comparative effectiveness research to inform point of care decision-making.

    Original languageEnglish (US)
    Title of host publicationMEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics
    PublisherIOS Press
    Pages846-850
    Number of pages5
    Edition1-2
    ISBN (Print)9781614992882
    DOIs
    StatePublished - 2013
    Event14th World Congress on Medical and Health Informatics, MEDINFO 2013 - Copenhagen, Denmark
    Duration: Aug 20 2013Aug 23 2013

    Publication series

    NameStudies in Health Technology and Informatics
    Number1-2
    Volume192
    ISSN (Print)0926-9630
    ISSN (Electronic)1879-8365

    Other

    Other14th World Congress on Medical and Health Informatics, MEDINFO 2013
    CountryDenmark
    CityCopenhagen
    Period8/20/138/23/13

    Keywords

    • Comparative effectiveness research
    • computer assisted decision making
    • information needs
    • machine learning

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Health Informatics
    • Health Information Management

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  • Cite this

    Zhang, M., Del Fiol, G., Grout, R. W., Jonnalagadda, S., Medlin, R., Mishra, R., Weir, C., Liu, H., Mostafa, J., & Fiszman, M. (2013). Automatic identification of comparative effectiveness research from medline citations to support clinicians' treatment information needs. In MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics (1-2 ed., pp. 846-850). (Studies in Health Technology and Informatics; Vol. 192, No. 1-2). IOS Press. https://doi.org/10.3233/978-1-61499-289-9-846