Multi-Center Colonoscopy Quality Measurement Utilizing Natural Language Processing

Abstract

NLP can accurately report adenoma detection rate and the components for determining guideline-adherent colonoscopy surveillance intervals across multiple sites that utilize different methods for reporting colonoscopy findings.