A Comparative Study of Hospital KPI Formulation Models Empowered by Artificial Intelligence
An Analysis Based on Traditional Manual Formulation and Intelligent Formulation Paths
Keywords:
Artificial intelligence, Hospital management, KPI formulation, Performance management, Smart healthcareAbstract
Hospital Key Performance Indicators (KPIs) are important management tools that connect strategic objectives with operational execution. Traditional hospital KPI formulation mainly relies on managerial experience and historical statistical data, which in practice suffers from problems such as static indicator structures, strong subjectivity, and slow response speed. With the widespread application of artificial intelligence technologies in healthcare management, intelligent KPI formulation methods based on big data analytics and machine learning models have gradually become a new development direction. This study takes traditional manual KPI formulation and AI-assisted KPI formulation as research objects. Through literature analysis and case comparison, the differences between the two models are systematically compared from the perspectives of formulation logic, data sources, dynamic adjustment capability, and management effectiveness. The results indicate that AI-driven KPI formulation models demonstrate significant advantages in accuracy, timeliness, and predictive capability, while still facing certain challenges in data governance and organizational adaptation.
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