Modelling the reconfiguration of acute and community health services

这个博士生奖学金将在支持CVUHB的“塑造我们的未来福祉”，这是一个雄心勃勃的10年，全系统的计划，将改变他们的服务变得更好的关键作用。该计划的核心是希望实现基于“家庭第一”方法的联合护理，使卡迪夫和淡水河谷公民能够对自己的健康负责，从而避免伤害，浪费和服务变化，使其在未来更加有效和可持续。运筹学（OR）方法已成功应用于一系列健康和福利服务，这个博士生项目是一个令人兴奋的机会，可以开发新的全系统OR模型和方法，以帮助产生持久的影响，从而为患者和公众带来真正重要的结果。作为10年计划的一部分，CVUHB需要在现有的社区环境中或通过创建新的中心在整个地区移动一系列服务。这对医疗保健系统的运作方式、能力规划方式、路径结构以及运输和物流运作方式产生了重大影响。模拟医疗保健系统的动态将如何变化是实现战略的基本步骤，也将是这一创新博士学位的重点。具体而言，您将：通过分析如何满足这些需求以及确保医疗保健系统在未来满足这些需求来评估人口健康需求;构建随机OR决策支持工具，动态和地理空间地模拟患者流量和服务设计;使用开发的模型进行成本效益评估，并就如何优化配置服务提出建议。

This PhD studentship will play a pivotal role in supporting CVUHB's "Shaping Our Future Wellbeing", an ambitious 10-year, system-wide plan that is set to transform their services for the better. At the heart of the plan is the desire to achieve joined-up care based upon a 'home first' approach, empowering Cardiff and Vale citizens to feel responsible for their own health, and thus avoiding harm, waste and variation in services to make them more efficient and sustainable for the future.Operational Research (OR) approaches have been successfully applied to a range of health and wellbeing services, and this PhD studentship is an exciting opportunity to develop novel system-wide OR models and approaches to help create a lasting impact that will deliver outcomes that really matter to patients and the public. As part of the 10-year plan, CVUHB need to move a range of services across the region, within existing community settings or by creating new hubs. This has major implications on the way the healthcare system will function, how capacity is planned, how pathways are structured, and transport and logistics operate. Modelling how the dynamics of the healthcare system will change is a fundamental step to realising the strategy and will be the focus of this innovative PhD. Specifically, you will:Assess the population health needs by carrying out an analysis on how these are met and what is required to ensure the healthcare system meets them in the future;Build stochastic OR decision-support tools that model patient flows and service design both dynamically and geospatially;Use the developed models to perform cost-benefit evaluations and to make recommendations on how to optimally configure services.