重庆市科委资助项目（cstc2013jccxA10012）。
通过对医院信息化投入、医院运营管理对医疗效益的影响规律进行分析，根据重庆市某三级甲等医院在2009-2015年间的信息化投入、医院运营管理2个方面与医疗毛收入的数据资料，通过Pearson相关分析得到医疗毛收入与11个影响指标均相关（P<0.05），通过熵值法，选择指标权重值大于0.08的指标有医院全年财务信息化投入x1、医院全年门诊量x4、医院全年入院患者人数x6、医院全年手术量x7以及医院初级职称人数x10，其权重分别为0.190、0.086、0.085、0.084、0.084。建立多因素回归分析的数学模型，得到了指标x1、x4、x6、x7、x10与医疗毛收入拟合函数，可决系数分别为0.948 8、0.927 1、0.994 1、0.993 0、0.948 1，医疗毛收入的回归方程的可决系数为0.996 3，因此，本研究通过熵值法得到的影响医疗毛收入的5个指标，并建立得到的回归方程可应用于医院信息化投入决策的制定，为医疗卫生管理提供新的依据。
It aims to analyze the influence of hospital informatization investment, operation and management on the hospital medical benefit. The data of informatization input, hospital operation management and medical gross income of a 3-A hospital in Chongqing during 20092015 was taken as the research object, and Pearson correlation analysis found that the medical gross is related to 11 indicators (P<0.05). Then the indicators with weight values greater than 0.08 were sifted by entropy method, including hospital annual financial information (x1), the annual outpatient per year (x4), hospital surgery per year (x6), annual number of patients per year (x7), and hospital primary title number (x10), and their weights are 0.190, 0.086, 0.085, 0.084, 0.084 respectively. Finally, a multi-factor regression model was established, the fitting function of the indicators (x1, x4, x6, x7, x10) and medical gross income was obtained, the coefficients of determination were 0.948 8, 0.927 1, 0.994 1, 0.993 0, 0.948 1 respectively and the determination coefficient of the regression equation of medical gross income is 0.9963. 5 indicators influencing medical gross income were obtained by entropy method, and the proposed regression equation can be used for hospital informatization investment decisions, which provides a new basis for medical and health management.
张菁芳,李佳承,向友艾,罗万春,任家顺.医疗信息化效用影响研究[J].重庆大学学报,2017,40(5):104-110.
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