Objective To build the method of computerized case classification,for the purpose of perfecting the diseases typing and classification,and supporting the management based on the quality and expenses of the disease.Methods 875 cases were defined into two types.Eight parameters were selected for non-surgery cases,namely the disease diagnosis,severity at admission,and age.For surgery cases,five parameters were defined,namely the disease diagnosis,operative quantity,and severity at admission.Then Fisher function was called into play to obtain the function descriminant equation,realizing computerized classification.Results The rate of matching was 86.2％ between computerized classification and manual classification.The high accuracy of function descriminant equation proves the satisfactory outcomes of the classification.Collusion The computerized classification is satisfactory in its outcomes,and therefore it can better quality of care and cost management of diseases in clinical practice.

Objective: To investigate and analyze the performance of informed consent of self-expense medical expenses by medical staff. Methods: By using stratified random method, a sample of 480 medical records of medical insurance patients was selected from 40 wards of a third class A hospital in Zhejiang province in 2016. Combined with semi-open questionnaire, the performance of medical staff was investigated to do informed consent of self-expense medical expenses. Results: In general, the rate of informed consent was low, and only the rate of informing bed fee was over 70％. Medical staff thought that the effective performance of informed consent was affected by many factors, such as subjective and objective factors. Conclusion: There are still some problems in the performance of informed consent of self-expense medical expenses. It is necessary to take multi-party linkage and multi-measures interventions to improve the rate of informed consent.