Evaluation of AI-Based Competency Assessment as a Predictor of Early Turnover in New Nurses

This study examines the effectiveness of AI competency assessments in predicting early turnover among newly hired nurses in a South Korean hospital. Data from 156 nurses showed that higher scores in self-reflection, honesty, and alignment with organizational values were linked to longer retention. In contrast, high scores in behavioral response and relationship motivation were associated with early resignation. These findings suggest that AI tools can help healthcare organizations refine recruitment by identifying personality traits linked to retention, ultimately supporting workforce stability and patient care quality.