A study of case-mix method by clinical pathway / 医学研究生学报

ABSTRACT

Objective: To investigate the case-mix method by clinical pathway. Methods: K-MEANS cluster analysis was applied to case-mix classification and artificial neural network was used for case-mix prediction. Results: Five hundred and twenty three inpatient records constructed a case-mix classification scheme of 4 groups.Statistical significant difference of costs existed in 4 groups.The training error of artificial neural network was low(0.0 029) and the predicting result was accurate(98.91%). Conclusion: Case-mix result was more reasonable using records under clinical pathway.The existing models of case-mix depend on dividing individual variables, but artificial neural network does not.