Optimising patient flow and identifying inequalities in health service delivery in NSW hospitals using linked data

使用关联数据优化患者流量并识别新南威尔士州医院医疗服务提供中的不平等现象

• 批准号: nhmrc : GNT1110873
• 负责人: Ms KylieAnn Mallitt
• 金额: $ 31.46万
• 依托单位国家: 澳大利亚
• 项目类别: Early Career Fellowships
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-01-01 至 无数据
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/optimising-patient-flow-using-linked/1346749
• 关键词: Optimising; patient; flow; identifying; inequalities

This study will model optimal patient flow through hospitals. Hospital overcrowding is a crisis nationally and internationally. Bottlenecks to patient flow are multifaceted and poorly understood. This project will use linked ambulance, emergency department, and inpatient and outpatient hospital data to provide the first comprehensive assessment of barriers to patient flow. This will inform health service policy and practice to optimise the delivery of hospital care.

本研究将对医院的最佳病人流量进行建模。医院人满为患是一场国家和国际危机。阻碍病人流动的瓶颈是多方面的，人们对其知之甚少。该项目将使用相互关联的救护车、急诊科、住院和门诊医院数据，首次对患者流动障碍进行全面评估。这将为卫生服务政策和实践提供信息，以优化医院护理的提供。