摘要
目的探索医院临床科室分类方法,为实现科室的精细化管理提供科学依据。方法利用2022年深圳市某三甲医院临床科室的实际占用总床日数、出院患者手术占比、出院患者四级手术比例、CMI值、DRG组数进行快速聚类分析,把临床科室分成三个类别,分析不同类别的特点和临床科室的分类结果。结果30个临床科室分类成一般手术科室、非手术科室和高难度治疗科室。分类结果与预期一致,但普外科分类于非手术科室,而新生儿科分类于一般手术科室。结论应用快速聚类法进行临床科室分类,能客观反映科室特点,达到医院精细化管理的目的。利用分组异常结果信息,有利于分析临床科室的功能定位和病种结构特点,进行调整优化。
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 patients,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-operation department,and treatment-resistant department.The grouping results were consistent with initial expectations,but the general surgery department was placed within the non-operation group,and the neonatology department within the general surgical department.Conclusion The fast clustering method used in classification of clinical departments can objectively reflect the characteristics and find out some abnormal points so as to achieve the goal of fine management.Moreover,by analyzing the abnormalities in functional localization and structural characteristics,hospitals can optimize hospital management.
作者
钟晓
吴粤
庄虹
叶冬炜
ZHONG Xiao;WU Yue;ZHUANG Hong;YE Dongwei(Shenzhen Longgang Central Hospital,Shenzhen 518116,China;Guangdong Provincial People's Hospital of Southern Medical University//Guangdong Academy of Medical Sciences,Guangzhou 510080,China)
出处
《现代医院》
2024年第8期1259-1261,共3页
Modern Hospitals
关键词
快速聚类法
科室分类
疾病诊断相关分组
绩效考核
Fast clustering analysis
Classification of departments
Diagnosis related groups
Performance appraisal
作者简介
通信作者:吴粤,zx130231@163.com。
