Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.

Journal: Gastrointestinal endoscopy
Published Date:

Abstract

BACKGROUND AND AIMS: The adenoma detection rate (ADR) is a quality metric tied to interval colon cancer occurrence. However, manual extraction of data to calculate and track the ADR in clinical practice is labor-intensive. To overcome this difficulty, we developed a natural language processing (NLP) method to identify adenomas and sessile serrated adenomas (SSAs) in patients undergoing their first screening colonoscopy. We compared the NLP-generated results with that of manual data extraction to test the accuracy of NLP and report on colonoscopy quality metrics using NLP.

Authors

  • Gottumukkala S Raju
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Phillip J Lum
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Rebecca S Slack
    Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Selvi Thirumurthi
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Patrick M Lynch
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Ethan Miller
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Brian R Weston
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Marta L Davila
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Manoop S Bhutani
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Mehnaz A Shafi
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Robert S Bresalier
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Alexander A Dekovich
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Jeffrey H Lee
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Sushovan Guha
    Gastroenterology and Hepatology, Houston Regional Gastroenterology Institute (HRGI), Houston, TX, USA. sguha@hrgastro.com.
  • Mala Pande
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Boris Blechacz
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Asif Rashid
    Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Mark Routbort
    Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Gladis Shuttlesworth
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Lopa Mishra
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • John R Stroehlein
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • William A Ross
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.