Objective:To analyze the operational efficiency of the oncology department in multi-campus hospital, providing reference for rational resource allocation and efficiency enhancement.Methods:A certaion tertiary grade A Hospital is a multi-campus public hospital with integrated management. This study focused on its oncology department, with 9 wards located in different campus as decision-making units. Data from 2020 to 2022 were extracted from the hospital′s medical records management system, disease diagnosis-related groups management system, and hospital information system. The super-efficiency DEA model and Malmquist index model were used to evaluate efficiency variations of the oncology department in different time slots and decision-making units. Identifying input redundancies and output deficiencies in wards not achieving constant returns to scale through projection value analysis. Selecting the total number of medical staff and the actual total number of bed-days occupied as input indicators, while bed utilization rate, discharge rate, and case mix index as output indicators.Results:From 2020 to 2022, the wards with a DEA super-efficiency value greater than 1 were 0, 2, and 4, respectively, showing a gradual increase in overall efficiency. In 2022, wards S3, S4, S7, and S9 achieved constant returns to scale with super-efficiency values of 1.001, 1.005, 1.113, and 1.112, respectively. The other five wards had zero input redundancy, but some suffered from insufficient outputs. For example, wards S5 and S8 should increase their bed utilization rates by 5% and 4%, respectively. Wards S1 and S8 needed to increase their annual discharge numbers by 24% and 1%, respectively, while wards S2 and S6 should increase their annual case mix index by 21% and 20%, respectively. From 2020 to 2021, the Malmquist index of the oncology department was 0.959, while from 2021 to 2022 it rose to 1.030, and the Malmquist index of each ward was greater than 1.Conclusions:By implementing integrated management across multiple campus, the operational efficiency of the oncology department has been comprehensively improved. The use of the super efficient DEA-Malmquist index model to evaluate the operational efficiency of departments has practical significance.