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作 者:周振涛 李浩 王礼泉[1] 周肖燕[1] 沈云燕[1] 周寅[1] ZHOU Zhentao(Outpatient Office,The Second Affiliated Hospital of Soochow University,Suzhou,Jiangsu,215004,China)
机构地区:[1]苏州大学附属第二医院门诊办公室,江苏苏州215004
出 处:《医学与社会》2024年第11期107-112,共6页Medicine and Society
基 金:江苏省医院协会医院管理创新研究课题,编号为JSYGY-3-2021-293;苏州大学附属第二医院科研预研基金项目,编号为SDFEYQN2012;江苏省医院协会医院管理创新研究课题,编号为JSYGY-2-2023-486。
摘 要:目的:对江苏省某三甲综合医院住院前准备中心床位集中管理的效果进行分析,为医院优化床位管理提供决策参考。方法:收集2019-2023年该医院的平均开放床位数、床位周转次数、平均住院日、期内出院人数、平均住院费用等指标数据,对床位集中管理的效果进行对比分析;采用单位时间内床位使用效率指标(bed use efficiency per unit time,BEP)分析各科室床位使用效率。当BEP>0时,表示床位供不应求,称为需床型;当BEP<0,床位供大于求,称为供床型。结果:实行床位集中管理后,2023年1-6月全院平均开放床位数、床位周转次数均大于实施前同期水平,平均住院日均小于2019年同期水平。2023年1-6月纳入研究的19个科室中有9个为需床型(47.4%),有10个为供床型(52.6%)。2019-2023年,全院期内出院人数、出院患者平均住院费用年平均增长速度分别为5.3%、1.2%。结论:该三甲综合医院住院前准备中心床位集中管理有效提高了床位使用效率,相对减轻了住院患者的就医负担,未来应针对不同效率分型科室采取多样化措施,借助信息技术和BEP指标加强床位监测调整。Objective:To analyze the effects of centralized bed management in a pre-admission preparation center of a grade-A tertiary general hospital in Jiangsu Province,providing decision-making references for optimizing hospital bed management.Methods:Data on average open beds,bed turnover rates,average length of stay,number of discharges,and average hospitalization costs were collected from 2019 to 2023 for comparative analysis of the centralized bed management's effects.Bed use efficiency per unit time(BEP)was employed to assess bed utilization efficiency across different departments.When BEP>0,bed in short supply,defined as bed-requiring type;when BEP<0,bed oversupply,defined as bed-supplying type.Results:Following the implementation of centralized bed management,from January to June 2023,the average number of open beds and bed turnover rates increased compared to the same period before implementation,while the average length of stay decreased compared to the same period in 2019.Among the 19 departments analyzed from January to June 2023,9 were categorized as bed-requiring types(47.4%),and 10 as bed-supplying types(52.6%).From 2019 to 2023,the average annual growth rates of discharges and average hospitalization costs were 5.3%and 1.2%,respectively.Conclusion:Centralized bed management in this tertiary general hospital has effectively improved bed utilization efficiency and relatively alleviated the medical burden on patients.In the future,diverse strategies should be implemented for departments with different efficiency types,and information technology combined with BEP metrics should be employed to enhance bed monitoring and adjustments.
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