What's Hot in the April Issue
Multi-Center Colonoscopy Quality Measurement Utilizing Natural Language Processing
Natural language processing (NLP), a computer-based technique for extracting meaningful information from text documents, was the basis for this study which focused on extracting information from reports related to adenoma detection rates (ADR) in colonoscopy. The results suggest NLP may allow the ability to eliminate manual review while maintaining high accuracy, even for more specialized quality measures for colonoscopy (e.g. advanced adenoma detection rate, sessile serrated polyp detection rate, number of adenomas per colonoscopy, and location specific detection rates).