数据驱动的大型综合三级甲等医院门诊资源规划初探  

Preliminary exploration of data-driven outpatient resource planning for a large comprehensive tertiary grade A hospital

作　　者：王卓[1] 朱婷 何玮 曾利辉[2] 杨晓妍[1] WANG Zhuo;ZHU Ting;HE Wei;ZENG Lihui;YANG Xiaoyan(West China Biomedical Big Data Center,West China Hospital/West China School of Medicine,Sichuan University,Chengdu,Sichuan 610041,P.R.China;Department of Outpatient,West China Hospital,Sichuan University,Chengdu,Sichuan 610041,P.R.China)

机构地区：[1]四川大学华西医院/华西临床医学院生物医学大数据研究院,成都610041 [2]四川大学华西医院门诊部,成都610041

出　　处：《华西医学》2025年第3期459-464,共6页West China Medical Journal

基　　金：四川省科技计划项目(2024YFFK0305)。

摘　　要：该文分析了某大型综合三级甲等医院2021年-2023年的门诊资源供需数据,运用聚类分析对各科室线下门诊量进行分类,识别出5种不同门诊量特征的科室类别。根据不同类别及不同科室间门诊量和资源利用率的差异,从线上门诊和线下门诊分别探讨常态和应急态下的门诊资源供需匹配关系,基于类别和科室维度,该文提出了兼顾常态和应急态的门诊资源规划策略,为大型综合三级甲等医院提升门诊服务质量与效率提供依据。This article analyzes the supply and demand data of outpatient resources in a large comprehensive tertiary grade A hospital from 2021 to 2023.Cluster analysis is used to classify the offline outpatient volume of each department and identify five different department categories with different outpatient volume characteristics.Based on the differences in outpatient volume and resource utilization between different categories and departments,this paper explores the supply-demand matching relationship of outpatient resources under normal and emergency states from online and offline outpatient.Based on the dimensions of categories and departments,this paper proposes an outpatient resource planning strategy that takes into account both normal and emergency states,providing a basis for improving the quality and efficiency of outpatient services in large comprehensive tertiary grade A hospitals.

关 键 词：诊室利用率 线上门诊 资源配置 聚类分析 

分 类 号：F42[经济管理—产业经济]