Mathematical Decision Support to Optimise Hospital Capacity and Utilisation

优化医院容量和利用率的数学决策支持

• 批准号: LP180100542
• 负责人: Prof Prasad Yarlagadda
• 金额: $ 29.55万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-05-27 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP180100542
• 关键词: Mathematical; Decision; Support; Optimise; Hospital

Hospital planners and executives regularly contend with challenging capacity related decisions. Decisions relating to prioritisation, allocation and sharing of resources have a profound impact on productivity, efficiency and patient outcomes. There is a lack of data-driven or quantitative decision support to make well-informed capacity related decisions of a strategic or tactical nature in a single hospital, or across a regional healthcare system. This project aims to deliver decision support for holistic hospital capacity assessment and planning optimisation. This will yield significant benefits for the health sector, providing a tool to optimise the allocation of resources and provision of infrastructure for regional hospital services.

医院规划人员和管理人员经常与具有挑战性的容量相关决策作斗争。与资源优先级、分配和共享相关的决策对生产力、效率和患者结果有着深远的影响。缺乏数据驱动或定量决策支持，无法在单个医院或整个区域医疗保健系统中做出明智的战略或战术性能力相关决策。该项目旨在为整体医院容量评估和规划优化提供决策支持。这将为卫生部门带来巨大的好处，为优化资源分配和为区域医院服务提供基础设施提供了一种工具。