A new study shows that natural language processing programs can “read” dictated reports and provide information to allow measurement of colonoscopy quality in an inexpensive, automated and efficient manner. The quality variation observed in the study within a single academic hospital system reinforces the need for routine quality measurement. The study appears in the June issue of GIE: Gastrointestinal Endoscopy, the monthly peer-reviewed scientific journal of the American Society for Gastrointestinal Endoscopy (ASGE).
Gastroenterology specialty societies have advocated that providers routinely assess their performance on colonoscopy quality measures. Such routine measurement has been hampered by the costs and time required to manually review colonoscopy and pathology reports. Natural language processing (NLP) is a field of computer science in which programs are trained to extract relevant information from text reports in an automated fashion.
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