Competency-Based Assessments: Leveraging Artificial Intelligence to Predict Subcompetency Content.

Gregory J BoothBenjamin RossWilliam A CroninAngela McElrathKyle L CyrJohn A HodgsonCharles SibleyJ Martin IsmawanAlyssa ZuehlJames G SlottoMaureen HiggsMatthew HaldemanPhillip GeigerDink Jardine

Published in: Academic medicine : journal of the Association of American Medical Colleges (2022)

The authors developed an NLP model that recognized the feedback language of anesthesiologists across multiple GME programs. The model was operationalized in a self-assessment exercise. It is a powerful tool which rapidly organizes large amounts of narrative feedback.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
public health
high intensity
physical activity
body composition