Abstract
ERCP is one of the riskiest procedures in endoscopy and has the potential for devastating complications. In 2006 the ASGE/ACG Taskforce on Quality in Endoscopy published quality indicators for ERCP; however these indicators required manual review for validation and are not widely in use. Natural language processing (NLP), a technique for discovering information from free text documents, has been shown to identify quality measures in colonoscopy; however, the use of NLP to identify quality indicators related to ERCP has not yet been studied.
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