To help advance the area of clinical text scoring, NBME sponsored a Kaggle competition on the topic of Natural Language Processing (NLP). Data scientists from all over the world were invited to develop an automated method to map clinical concepts from an exam rubric (e.g., “diminished appetite”) to various ways in which these concepts are expressed in clinical patient notes written by medical students (e.g., “eating less,” “clothes fit looser”).

Nearly 1,500 teams enrolled and the May 2022 results remain open source so others can benefit and continue developing shared value for the community.