An Empirical Study on DRG Grouping of Glaucoma Hospitalization Costs Based on Decision Tree Model
Purpose/Significance To discuss the DRG grouping and the corresponding hospitalization cost standard of glaucoma pa-tients in Shanghai,and to provide methodological basis for the reasonable control of hospitalization costs in medical institutions.Method/Process Data of inpatients with the principal diagnosis of glaucoma from January 1,2022 to December 31,2023 are extracted,and the classification node variables are classified by single factor analysis and multiple linear regression.The DRG combination scheme,hospi-talization cost standard and disease weight of glaucoma inpatients are investigated by using decision tree model in data mining technology.Coefficient of variation,variance inflation factor and rank sum test are used to test the efficacy of the model.Result/Conclusion The DRG grouping of glaucoma patients established based on decision tree model has high intra-group homogeneity,and the presence or ab-sence of complications and discharge status are entered into the model as classification node variables.The coefficient of variation of the case combinations is 0.33 to 0.75,all less than 1.Finally,a total of 4 hospitalization cost standards and disease weight schemes are formed,and the overall scheme is reasonable,providing references for rational allocation of medical resources.
decision tree modelglaucomahospitalization costsDRG
万方数据
维普
