摘要
以“一站式”后勤管理平台为切入点,提出了后勤大数据质量评估框架,开发了医院后勤大数据智能分析平台,建立了后勤数据的分析流程。通过规范数据来源、建立科学的数据质量评估和分析方法,对“一站式”后勤管理平台的维修工单分布、维修服务质量和服务满意度等关键指标进行了分析。为其他业务提供数据驱动管理的参考路径和方法,助力医院实现管理和服务创新。
Taking the"one-stop"logistics management platform as the entry point,this study proposes a big data quality assessment framework for hospital logistics,develops an intelligent analysis platform for hospital logistics big data,and establishes standardized analytical processes for logistics data.By standardizing data sources and implementing scientific methods for data quality evaluation and analysis,the key indicators of the"one-stop"logistics management platform were examined,which including maintenance work order distribution,service quality of repairs,and service satisfaction levels.The research provides data-driven management reference approaches and methodologies for other operational sectors,supporting hospitals in achieving innovation in both management practices and service delivery.
作者
项兴彬
许璟琳
程子伟
左锋
余芳强
XIANG Xingbin;XU Jinglin;CHENG Ziwei;ZUO Feng;YU Fangqiang
出处
《中国医院建筑与装备》
2025年第4期6-10,共5页
Chinese Hospital Architecture & Equipment
基金
上海市优秀学科带头人计划——基于数字孪生的公共建筑低碳智慧运维技术研究和应用(22XD1432000)
上海市“科技创新行动计划”科技支撑碳达峰碳中和专项——大型公共建筑超低能耗高效建造技术研究(22dz1207102)。
关键词
医院后勤
管理平台
数据分析
服务质量
评估
优化
Hospital logistics
Management platform
Data analysis
Service quality
Assessment
Optimization
