Hospital Management Practice of Combined Prediction Method Based on Neural Network

Introduction

After China’s accession to the World Trade Organization, the world’s advanced medical technology and hospital management have had a particular impact on China (Ippoliti et al., 2021). At the present stage, the main problems of China’s hospital management are the broad scope of hospital management, its numerous contents, and its rapid development, while the current management mode is single, and a targeted management system has not been established. Especially in the management of drugs, subjective factors (such as managers) significantly impact hospitals’ failure to pay full attention to management, resulting in economic losses. Regarding personnel management, hospitals adhere to traditional management concepts, resulting in an imperfect internal management mechanism, low efficiency of communication and cooperation among departments, the lack of targeted training for personnel in different positions, and poor income growth, which seriously affects staff enthusiasm (Quasim et al., 2023). At the same time, the unclear division of various duties and positions leads to overlaps and deficiencies, resulting in mutual shirking of responsibilities and delays in the work. Moreover, hospitals fail to pay full attention to the critical cost management factors, focusing only on the accounting results without sufficient market analysis, leading to lower-quality cost management (van Assen et al., 2020). With the gradual modernization of hospital management, statistical forecasting methods are gradually being applied to hospital management. Scientific prediction of the market improves the decision-making ability of hospital management, allows for the development of more scientific management and work plans, and promotes the modernization and scientization of hospital management ability (Elleuch et al., 2021).

Statistical forecasting is widely used to modernize hospital management and has achieved rich research results. Hospital work plans and scientific management models can be rationally formulated by predicting the number of outpatients, hospital income, and drug supply and demand. Shahid et al. (2019) have combined different forecasting methods and determined the weight coefficients of each forecasting method according to its importance, forming a combined forecasting model with fixed weight coefficients (linear) and variable weight coefficients (nonlinear). Due to its simplicity, the combined prediction model with fixed weight coefficients (linear) is widely used. Although the research results of this method are more mature, the unstable prediction results of a single prediction model make it unable to meet prediction needs in practice. Ge et al. (2019) have studied the combined prediction model with variable weighting coefficients. This prediction model has high accuracy and practicality, but its weighting coefficients change over time. Innovative hospital management models are needed to meet the requirements of the current healthcare system (Wang et al., 2023).