Construction of performance score dynamic prediction system for clinical departments using explainable machine learning

The study presented a novel dynamic framework for clinical departmental performance prediction in tertiary public hospital using explainable machine learning. The framework supports progressive performance monitoring across multiple time windows and provides timely insights to inform managerial decisions. In addition, the development of the web tool helps facilitate practical application, offering methodological support and practical reference for performance management in public healthcare settings.