AN ELECTRONIC MEDICAL RECORD PREDICTION MODEL TO IDENTIFY INADEQUATE BOWEL PREPARATION IN PATIENTS AT OUTPATIENT COLONOSCOPY.

Journal: Techniques and innovations in gastrointestinal endoscopy
Published Date:

Abstract

BACKGROUND AND AIMS: Inadequate bowel preparation during colonoscopy is associated with decreased adenoma detection, increased costs, and patient procedural risks. This study aimed to develop a prediction model for identifying patients at high risk of inadequate bowel preparation for potential clinical integration into the EMR.

Authors

  • Jared A Sninsky
    Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Vincent Toups
    Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Cary Cotton
    Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Anne F Peery
    Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Shifali Arora
    Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

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