Impact of a USMLE Step 2 Prediction Model on Medical Student Motivations.

ABSTRACT:

Purpose

With the transition of USMLE Step 1 to Pass/Fail, Step 2 CK carries added weight in the residency selection process. Our goal was to develop a Step 2 predicted score to provide to students earlier in medical school to assist with career mentoring. We also sought to understand how the predicted scores affected student's plans.

Method

Traditional statistical models and machine learning algorithms to identify predictors of Step 2 CK performance were utilized. Predicted scores were provided to all students in the Class of 2024 at a large allopathic medical school. A cross-sectional survey was conducted to assess if the estimated score influenced career or study plans.

Results

The independent variables that resulted in the most predictive model included CBSE score,

SUBMITTER: Shanks A 

PROVIDER: S-EPMC11837067 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature