共享收治模式在医院床位管理中的应用效果
Application Effect of Shared Admission model in Hospital Bed Management
高爱菊 1路璐 1王燕庆 1王晶 1马雪1
作者信息
- 1. 首都医科大学附属北京朝阳医院,北京市,100020
- 折叠
摘要
目的 评价共享收治模式在实现医院床位资源高效利用中的效果.方法 分析北京朝阳医院床位管理中心共享收治模式实施前(2019年1月—2020年12月)与实施后(2021年1月—2022年12月)科室医疗指标及跨科收治情况.结果 共享收治模式实施前、实施后床位平均使用率分别为77.89%、84.98%,差异有统计学意义(P＜0.05);实施后床位周转次数多于实施前,患者平均住院日、术前平均住院日、平均入院等候时间低于实施前,差异有统计学意义(P＜0.05);实施后跨科收治率0.58%,共享病房收治率1.49%,均高于实施前;跨科与共享收治相关投诉及不良反馈率实施前、后分别为6.71%、0.08%,差异有统计学意义(P＜0.05).结论 床位管理中心的共享收治模式,可提高跨科收治率,提升床位周转次数,降低候床患者院外等候时间;这能够在一定程度上缓解住院难的问题,提升患者就医感受.
Abstract
Objective To evaluate the effect of shared treatment model in realizing efficient utilization of hospital bed resources.Methods The medical indicators of related departments and the situation of cross-department admission in bed management center of our hospital were analyzed and compared before(2019.01-2020.12)and after(2021.01-2022.12)shared admission model.Results The average utilization rate of bed before and after implementation of shared admission model was 77.89%and 84.98%,respectively(P<0.05).The number of bed turnover after implementation was more than before implementation,and the average days of hospitalization,the average days of hospitalization before operation and the average waiting time for admission were lower than before implementation(P<0.05).After the implementation,the inter-department admission rate was 0.58%and the shared ward admission rate was 1.49%,which was higher than before the implementation;the complaints and negative feedback rates of cross-department and shared treatment were 6.71%and 0.08%,respectively(P<0.05).Conclusion The shared admission model of bed management center can improve the cross-department admission rate,increase the number of bed turnover,reduce the waiting time of patients outside the hospital,alleviate the difficulty of hospitalization to a certain extent,and improve patients'medical experience.
关键词
床位管理中心/共享收治/医疗指标/管理/跨科收治Key words
bed management center/shared admission/medical indicators/management/interdisciplinary admissions引用本文复制引用
基金项目
北京市卫生健康委员会高层次公共卫生技术人才建设项目培养计划(学科带头人-01-06)
出版年
2024
NETL
NSTL
万方数据