Performance evaluation of standardized residency training based on non-parametric intelligent group decision method

Abstract

Background This study focuses on evaluating the performance of standardized residency training using a non-parametric intelligent group decision method. Methods In this study, a non-parametric intelligent group decision method is designed to create evaluation models for the performance of two hundred pediatric residents undergoing standardized training skills assessment in Anhui Province,China. The evaluation process involves analyzing six indicators: cardiopulmonary resuscitation, humanistic communication, history taking, physical examination, medical record writing, and case analysis. Results The two models exhibit consistency in both data and performance levels, validating the scientific feasibility of the new method. The empirical analysis highlights shortcomings in residents' medical record writing and case analysis abilities. Enhancing competency in these areas emerges as a crucial focus in standardized residency training. Conclusion The application of non-parametric intelligent group decision-based performance evaluation outperforms relying solely on multiple examiner scores in standardized residency training. This approach effectively identifies individual trainees' strengths and weaknesses, offers improvement recommendations, and supports decisions for disciplinary training base advancement.