Natural language processing accurately tracks colonoscopy quality
Tuesday, March 10, 2015 - 13:00
in Mathematics & Economics
An accurate system for tracking the quality of colonoscopies and determining the appropriate intervals between these procedures could contribute to both better health outcomes and lower costs. Clinician-researchers have created and tested such a system in the nation's first multiple institution colonoscopy quality measurement study utilizing natural language processing and report that it is as accurate but less expensive than human review.