Objective To combine grey relation analysis and partial least squares regression model to establish the forecasting model of per-patient hospitalization expenses .Methods Gray relational analysis was used to filter out the main factors affecting per-patient hospitalization expenses ,and then collinearity was examined between these factors .Partial least squares regression was used to establish prediction model of per-patient hospitalization expenses ,and the prediction accuracy was proved .Results After filtered by gray relational analysis ,the order of the importance of factors affecting per-patient hospitalization expenses was the west-ern medicine fee ,traditional Chinese medicine fees ,diagnosis and treat fees ,other fees ,inspection fees ,bed fees and operation fees . The established partial least squares regression model had a higher accuracy on fitting and prediction ,with low average relative er-ror ,respectively ,-0 .000 2% and 0 .349 3% .Conclusion The gray relational analysis and partial least squares regression are suit-able for the influencing factors and prediction analysis of hospitalization costs .It provides a reference for data with the small sample size and high collinearity between the variables .

Objective: To construct the management model for intravenous drug use based on index system in a hospital.Methods: A three-level organizational framework was established, the KPI assessment method was used to set control index and observational index respectively for outpatients and inpatients.The completion of the clinical department indicators were monitored and analyzed with the help of the hospital information systems, and regulated by pharmacy and management tools.Results: After the application of the hospital intravenous drug use management model, the qualification rate of intravenous medication orders was improved in December 2015 (89%) when compared with that in December 2014 (68%), and the difference was statistically significant(P＜0.05).The indices of intravenous drug use of inpatients and outpatients in 2015 were significantly improved when compared with those in 2014.Conclusion: The hospital intravenous drug use management model based on index system construction can effectively reduce unnecessary intravenous medication and promote the rationality of intravenous medication.

Objective:To evaluate the management effect of clinical pharmacist on antibiotics use during perioperative period of great saphenous varicose veins surgery. Methods:The medical records of all the patients undergoing simple great saphenous vein strip-ping, great saphenous vein high ligation plus simple stripping and saphenous vein ligation plus endovenous laser treatment between June and September in 2010 ( before the intervention) , 2011 ( after the intervention) and 2014 ( consolidation period) were selected, and the rationality of prophylactic use of antibiotics during perioperative period was evaluated. Results: After the management of clinical pharmacists, the preventive application of antibiotics during perioperative period was markedly improved in the indication, medicine va-riety choice,application and dosage, administration route, solvent and solvent dose, administration time, course of treatment and drug combination when compared with that before the intervention. Antibiotics use ratio, average hospitalization days, antibiotics ratio, drug ratio and infusion ratio were reduced obviously, which could be consolidated. Conclusion: The intervention of clinical pharmacists in antibiotics use during perioperative period of great saphenous varicose veins surgery improves the reasonable use ratio of antibiotics, and makes certain significance in the cost reduction for patients and the specification for hospital management.

ARNTL Transcription Factors ; deficiency ; metabolism ; Animals ; Cyclic AMP ; metabolism ; Gluconeogenesis ; Glucose ; biosynthesis ; HEK293 Cells ; Histone Deacetylases ; metabolism ; Humans ; Liver ; metabolism ; Mice ; Mice, Knockout