神经网络模型在住院费用影响因素分析中的应用

目的 分析住院病人费用的影响因素及其综合影响力，以控制医疗费用的不合理增长。方法　以１所三甲医院1997年住院构成前10位病种的费用资料为样本，采用神经网络模型对出院病例的医疗费用进行统计学分析。结果 住院天数、入院情况、年龄及术前天数是影响住院费用的主要因素，其综合影响力分别为0.4879、0.2124、0.1847和0.0612。结论 控制医疗费用的不合理增长应该着力于降低药费，缩短住院天数和术前天数。

Application of the nerve network model in the analysis of factors affecting hospitalization expenses

Objective To analyze factors affecting the expenses of inpatients and their comprehensive force of influence so as to check irrational increases of medical expenses. Methods Data on hospitalization expenses for disease entities ranking in the first ten places in a third tier hospital in 1997 were taken as samples and a statistical analysis was conducted of the medical expenses incurred in the discharged cases by means of the nerve network model. Results Major factors affecting hospitalization expenses were days of hospitalization, pre hospitalization conditions, pre operation length of stay and age, the comprehensive force of influence of which was respectively 0 4879 , 0 2124 , 0 1847 and 0 0612 . Conclusion To check the irrational increases of medical expenses, we must focus our efforts on the reduction of expenses for medicine and shorten days of hospitalization and pre operation length of stay.