ObjectiveTo predict the total hospitalization expenses of bronchopneumonia inpatients in a tertiay hospital of Sichuan Province through BP neural network and support vector machine models, and analyze the influencing factors.MethodsThe home page information of 749 cases of bronchopneumonia discharged from a tertiay hospital of Sichuan Province in 2017 was collected and compiled. The BP neural network model and the support vector machine model were simulated by SPSS 20.0 and Clementine softwares respectively to predict the total hospitalization expenses and analyze the influencing factors.ResultsThe accuracy rate of the BP neural network model in predicting the total hospitalization expenses was 81.2%, and the top three influencing factors and their importances were length of hospital stay (0.477), age (0.154), and discharge department (0.083). The accuracy rate of the support vector machine model in predicting the total hospitalization expenses was 93.4%, and the top three influencing factors and their importances were length of hospital stay (0.215), age (0.196), and marital status (0.172), but after stratified analysis by Mantel-Haenszel method, the correlation between marital status and total hospitalization expenses was not statistically significant (χ2=0.137, P=0.711).ConclusionsThe BP neural network model and the support vector machine model can be applied to predicting the total hospitalization expenses and analyzing the influencing factors of patients with bronchopneumonia. In this study, the prediction effect of the support vector machine is better than that of the BP neural network model. Length of hospital stay is an important influencing factor of total hospitalization expenses of bronchopneumonia patients, so shortening the length of hospital stay can significantly lighten the economic burden of these patients.
Objective To investigate the healthcare system reform in traditional Chinese medicine (TCM) hospitals in Sichuan and analyze the existing issues at this stage. Methods All public TCM hospitals in Sichuan (a total of 210) were selected to collect information through the National Comprehensive Statistical Network Direct Reporting Information System for the investigation of the healthcare system reform. The survey was conducted in July 2024, and the data collection relied on the relevant information reported by the sample hospitals from January 1st to December 31st, 2023. This study only analyzed the basic situation, staffing, TCM services, and information technology construction of TCM hospitals. Results A total of 210 survey questionnaires were collected, with a 100% response rate. The survey revealed that licensed practitioners of TCM (including licensed assistant practitioners) accounted for 59.2% of the total number of licensed practitioners, and TCM professional and technical personnel accounted for 50.4% of the total number of pharmaceutical professional and technical personnel. The median number of TCM medical technology projects carried out by the surveyed institutions was 52, the median proportion of outpatient TCM medical service income to outpatient medical income was 8.6%, and the median proportion of inpatient TCM medical service income to inpatient medical income was 13.7%. The proportion of discharged patients primarily treated with TCM was 30.6%, and the coverage rate of TCM-dominant disease types among inpatients in TCM medical institutions was 44.8%. A total of 52 institutions (24.8%) had achieved interconnectivity between prescription information and retail pharmacies, while 158 institutions (75.2%) had not. Among tertiary medical institutions, 67 had achieved level 4 in electronic medical record application functionality, while 32 were at level 3 or below. Conclusions After years of in-depth healthcare system reform, the construction and services of TCM hospitals in Sichuan have seen some development. However, there are still some shortcomings, such as insufficient TCM talent allocation, low utilization rate of TCM medical technology, unclear characteristics of TCM treatment, and low level of electronic medical record informatization. Therefore, it is necessary to further strengthen the cultivation and introduction of TCM talents, vigorously develop TCM characteristics, promote informatization construction, and promote the inheritance, innovation, and high-quality development of TCM.
