基于BP神经网络的中医医院住院费用影响因素分析

目的通过对我国中医医院住院费用的主要影响因素进行分析，合理有效地控制医疗费用。方法利用具有全国代表性的病案数据库，按照ICD-10编码，在全国中医监测网络的住院病案数据库中提取历年积累的前50位住院病种，使用多层BP神经网络寻找住院费用的主要影响因素，并进一步分病种、医院级别进行分析。结果当将各病种混合进行分析时，对住院费用／天数影响最大的变量是医院代码和疾病种类，中医特有变量对费用的影响很小。分医院级别、分病种分析时的结果也完全一致。结论在我国目前的状况下，医院间的差异对住院费用的影响要远大于其他各种因素，甚至也高于病种间的筹异。因此，在进行医疗费用控制研究时一定要注意数据来源的广泛性和覆盖性。

BP neural network based analysis of factors influencing hospitalization expenses in TCM hospitals

Objective To control medical expenses in a rational and effective way by analyzing the main factors influencing hospitalization expenses in TCM hospitals. Methods Based on ICD 10 codes, the top 50 disease entities causing hospitalization, as had been accumulated over the years, were extracted from the hospitalization record data warehouses of the national TCM supervision networks using nationally representative medical record databases, the main factors influencing hospitalization expenses were identified using multi layer BP neural network, and further analyses were made by disease entities and hospital grades. Results When disease entity mix analyses were conducted, it was found that the variables most influencing hospitalization expenses/days were hospital code and disease entity while variables specific to TCM had little influence on the expenses. The results were also true of analyses made by hospital grades and disease entities. Conclusion Under the current circumstances in China, the influence on hospitalization expenses resulting from the difference between hospitals is far greater than any other factor; it is even greater than that resulting from the difference between disease entities. It is therefore imperative to pay attention to the extensiveness and coverage of data sources when conducting research on the control of medical expenses.