Ensuring Knowledge in Certification Using Natural Language Processing

• In Event: Electronic Board Session II

Abstract

The American Board of Obstetrics and Gynecology has created a novel procedure using Natural Language Processing combined with Subject Matter Experts to identify overlapping content on an examination. This novel procedure ensures displaying a breadth and depth of knowledge are mandatory to become certified, and helps ensure certification decisions defensibility.

Authors

• Heath Kincaid, American Board of Obstetrics and Gynecology

• Anthony Sparks, American Board of OBGYN

• Pooja Shivraj, American Board of OBGYN

• George Wendel, American Board of Obstetrics and Gynecology