Fine management based on the functional localization and disease structures of clinical departments
Objective To explore classifications of hospital clinical departments and provide a scientific basis for fine management of departments.Methods Fast clustering analysis was used to analyze the data of clinical departments of a tertiary hospital in Shenzhen in 2022 such as total number of actual bed occupation days,proportion of surgeries among discharged pa-tients,proportion of discharged patients undergoing level four surgeries,CMI value,and DRG groups.Based on the analysis,the clinical departments were categorized into three categories.The characteristics of the three types of departments and results of the classification were analyzed.Results The thirty clinical departments were divided into general surgical department,non-opera-tion department,and treatment-resistant department.The grouping results were consistent with initial expectations,but the gener-al surgery department was placed within the non-operation group,and the neonatology department within the general surgical de-partment.Conclusion The fast clustering method used in classification of clinical departments can objectively reflect the charac-teristics and find out some abnormal points so as to achieve the goal of fine management.Moreover,by analyzing the abnormali-ties in functional localization and structural characteristics,hospitals can optimize hospital management.
Fast clustering analysisClassification of departmentsDiagnosis related groupsPerformance appraisal
万方数据
维普
