This article analyzes the supply and demand data of outpatient resources in a large comprehensive tertiary grade A hospital from 2021 to 2023. Cluster analysis is used to classify the offline outpatient volume of each department and identify five different department categories with different outpatient volume characteristics. Based on the differences in outpatient volume and resource utilization between different categories and departments, this paper explores the supply-demand matching relationship of outpatient resources under normal and emergency states from online and offline outpatient. Based on the dimensions of categories and departments, this paper proposes an outpatient resource planning strategy that takes into account both normal and emergency states, providing a basis for improving the quality and efficiency of outpatient services in large comprehensive tertiary grade A hospitals.