771 A NATIONAL US HEALTHCARE SYSTEM WEB-BASED COLONOSCOPY QUALITY REPORT CARD: ACCURATE, USABLE, AND ROBUST

Colonoscopy quality measurement and reporting is problematic and burdensome, especially for large health systems. This is mainly due to variability in documentation and lack of structured data, even in the current electronic healthcare record era. Natural language processing (NLP) has shown promise in extracting quality metrics, but operational, dynamic large scale use has not been demonstrated. We aimed to develop and validate an accurate data source and workflow to measure colonoscopy quality for the largest integrated health care system in the US, and to provide a standardized and automated colonoscopy quality report card at the site and provider level.

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