873Using natural language processing on electronic medical notes to detect the presence of an indwelling urinary catheter

detect the presence of an indwelling urinary catheter Adi Gundlapalli, MD, PhD, MS; Guy Divita; Tyler Forbush; Andrew Redd PhD; Marjorie Carter, MSPH; Ashley J. Gendrett, BS, MPH; Kalpana Gupta, MD, MPH; Ying Suo, MS; B.S. Begum Durgahee, MS; Sarah Krein, PhD, RN; Michael Rubin, MD, PhD; Anne Sales, PhD, RN; Matthew Samore, MD; Barbara W. Trautner, MD, PhD; University of Utah School of Medicine and Salt Lake City VA Health Care System, Salt Lake City, UT; Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT; Ideas Center, VA Salt Lake City Health Care System, Salt Lake City, UT; Houston Center for Innovations in Quality, Effectiveness, and Safety, Michael E. Debakey Veterans Affairs Medical Center, Houston, TX; Department of Medicine/ Boston University School of Medicine, Boston, MA; Department of Internal Medicine, Division of General Medicine, University of Michigan Medical School, Ann Arbor, MI; Division of Nursing Business and Health Systems, University of Michigan, School of Nursing, Ann Arbor, MI; University of Utah School of Medicine, Division of Epidemiology, Salt Lake City, UT; Section of Infectious Diseases, Department of Medicine, Baylor College of Medicine, Houston, TX