Provider-specific quality measurement for ERCP using natural language processing.
Journal:
Gastrointestinal endoscopy
Published Date:
Jan 1, 2018
Abstract
BACKGROUND AND AIMS: Natural language processing (NLP) is an information retrieval technique that has been shown to accurately identify quality measures for colonoscopy. There are no systematic methods by which to track adherence to quality measures for ERCP, the highest risk endoscopic procedure widely used in practice. Our aim was to demonstrate the feasibility of using NLP to measure adherence to ERCP quality indicators across individual providers.