Second Prize: A Natural Language Processing Program Effectively Extracts Key Pathologic Findings from Radical Prostatectomy Reports

Abstract

This novel program demonstrated high accuracy and efficiency identifying key pathologic details from the prostatectomy report within an EMR system. NLP has the potential to assist urologists by summarizing and highlighting relevant information from verbose pathology reports. It may also facilitate future urologic research through the rapid and automated creation of large databases.