ABSTRACT
PROBLEM STATEMENT AND BACKGROUND: The purpose of the present study was to examine the extent to which an automated scoring procedure that emulates expert ratings with latent semantic analysis could be used to score the written patient note component of the proposed clinical skills examination (CSE). METHOD: Human ratings for four CSE cases collected in 2002 were compared to automated holistic scores and to regression-based scores based on automated holistic and component scores. RESULTS AND CONCLUSIONS: Regression-based scores account for approximately half of the variance in the human ratings and are more highly correlated with the ratings than the scores produced from the automated algorithm. Implications of this study and suggestions for follow-up research are discussed.