Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing.

Journal: Journal of biomedical informatics
Published Date: Jul 1, 2017

Abstract

OBJECTIVE: To develop a natural language processing pipeline to extract positively asserted concepts related to the presence of an indwelling urinary catheter in hospitalized patients from the free text of the electronic medical note. The goal is to assist infection preventionists and other healthcare professionals in determining whether a patient has an indwelling urinary catheter when a catheter-associated urinary tract infection is suspected. Currently, data on indwelling urinary catheters is not consistently captured in the electronic medical record in structured format and thus cannot be reliably extracted for clinical and research purposes.

Authors

  • Adi V Gundlapalli
    School of Medicine, University of Utah, Salt Lake City, Utah, US.
  • Guy Divita
    VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
  • Andrew Redd
    Andrew Redd, PhD, is an Assistant Professor at the University of Utah and a statistician in the IDEAS Center at the VA Salt Lake City Health Care System in Salt Lake City, UT.
  • Marjorie E Carter
    IDEAS Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA; Departments of Internal Medicine and Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Danette Ko
    University of Utah School of Medicine, Salt Lake City, UT, United States.
  • Michael Rubin
    IDEAS 2.0 Center, VA Salt Lake City Health Care System, Salt Lake City, UT, United States; University of Utah School of Medicine, Salt Lake City, UT, United States.
  • Matthew Samore
    IDEAS Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA; Departments of Internal Medicine and Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Judith Strymish
    3Department of Medicine,VA Boston Healthcare System,Boston,Massachusetts.
  • Sarah Krein
    University of Michigan Medical School, Ann Arbor, MI, United States; VA Ann Arbor Healthcare System, Ann Arbor, MI, United States.
  • Kalpana Gupta
    3Department of Medicine,VA Boston Healthcare System,Boston,Massachusetts.
  • Anne Sales
    VA Ann Arbor Healthcare System, Ann Arbor, MI, United States; University of Michigan, School of Nursing, Ann Arbor, MI, United States.
  • Barbara W Trautner
    Center for Innovations in Quality Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX, USA.

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