NQM Dynamic Resilient Resourcing
NQM Dynamic Resilient Resourcing
批准号:
87833
负责人:
金额:
$12.67万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
NQM动态弹性资源(DRR)是一组高级工具,使卫生保健提供者能够有效地规划、共享和协作卫生保健资源以及急慢性患者需求。正如最近应对COVID-19影响的经验所表明的那样,有效的规划对于尽量减少健康和经济中断至关重要。从卫生和保健系统的角度来看,这意味着了解当地可用于解决问题的资源的能力和复原力,确定资源将在何处出现压力,并能够对能力和需求的变化做出快速和明智的反应。这项工作建立在NQMCare已经在卫生和社会护理分析和规划领域提供的屡获殊荣的解决方案的基础上。我们已经与全科医生开展了一些突破性的工作,使他们能够了解病人的需求和工作人员的技能,并在病人治疗过程的早期进行匹配。DRR在其综合和动态方法方面进行了重大创新,以应对Covid等快速变化的情况。传统上,保健和社会保健提供者的工作涉及资源孤岛。工作人员被认为受过非常具体的学科方面的培训,工作流程固定,服务使用者的访问点有限。除此之外,初级和二级医疗保健提供者以及社会和社区护理提供者共享资源的能力有限,甚至关于其资源的信息也有限。DRR通过提供工具来实现资源的智能透明性、共享和分配,从而挑战了这种模型。DRR是一个动态资源模型,在卫生和保健系统中得到整合。它由多个集成模块组成:*人口模型:英国的细粒度人口统计模型*需求模型:一个灵活的需求模型,预测熟练人员随着时间的推移的细粒度资源需求*资源模型:来自初级、二级、社会和社区护理的反馈*技能模型:确定哪些熟练人员可以处理哪些护理需求的详细模型*实时能力模型:使用预约数据提供关于需求波动的最新信息和*情景建模:在基础模型上模拟不同情景的能力。该模型最初将侧重于人力资源(熟练人员),但以后可适用于其他固定资源(车辆、设备、财产)。我们设想一个系统,可以提供数据支持的建议和工具,以:*战略性地管理劳动力和弹性培训,以满足未来的需求*策略性地分流和直接进入的需求到最合适的劳动力跨一级/二级/社会和社区*管理资源以优化成本效率*使供应商共享资源*了解误差范围和风险*响应实时需求波动优化使用nqmcare是一家专注于健康和社会护理分析的新公司。我们与当地政府(南安普顿、朴茨茅斯、牛津郡、桑德兰和托芬)合作,在市场上推出了早期管理家庭社会护理的产品。我们得到了当地全科医生和南安普顿CCG的支持,并相信DRR将增加应对Covid-19的可用资源。
英文摘要
NQM Dynamic Resilient Resourcing (DRR) is a set of advanced tools that enable health and care providers to effectively plan, share and collaborate regarding health care resources and acute and chronic patient demand.As the recent experience tackling the fallout from COVID-19 has shown, effective planning is critical to minimise health and economic interruption. From a health and care system perspective, this means understanding the local capacity and resilience of resources that are available to tackle the problem, identifying where pressure on resources will occur, and being able to respond quickly and intelligently to changes in capacity and demand.The work builds on award winning solutions NQMCare has already delivered in the health and social care analytics and planning area. We have already undertaken some ground breaking work with GP practices to enable them to understand patient demand and staff skills and match them earlier in the patient treatment process. DRR provides major innovation in its integrated and dynamic approach to tackling fast moving scenarios like Covid.Traditionally health and social care providers work with resource silos. Staff are considered to be trained to very specific disciplines, with fixed work flows and limited points of access for service users. On top of this, providers of primary and secondary healthcare and those of social and community care have limited ability to share resources, or even information about their resources. DRR challenges this model by providing tools to enable intelligent transparency, sharing, and allocation of resources.DRR is a dynamic resource model that is integrated across health and care systems. It consists of a number of integrated modules:* Population model: a fine grained demographic population model for the UK* Demand model: a flexible demand model that anticipates fine grained resource demand for skilled personnel over time* Resource model: with feeds from primary, secondary, social and community care* Skills model: detailed model that identifies which skilled personnel can handle which care demands* Real time capacity model: using appointment data to provide up to the minute information on fluctuations in demand and* Scenario modelling: an ability to simulate different scenarios over the underlying modelThe model will focus initially on human resource (skilled personnel) but could be adapted to other fixed resources (vehicles, equipment, property) later.We envision a system that can provide data backed recommendations and tools to:* Strategically manage the workforce and training for resilience and to meet future demand* Tactically triage and direct incoming demand to the most appropriate workforce across primacy/secondary/social and community* Manage resources to optimise cost efficiency* Enable providers to share resources* Understand the margin of error and risks entailed* Respond to real time demand fluctuations with optimised use of existing resourcesNQMCare is a new company focusing on health and social care analytics. We have early products in the market to manage domicillary social care, with local authorities (Southampton, Portmouth, Oxfordshire, Sunderland and Torfaen). We have support from a local GP practice and Southampton CCG and believe the DRR will increase resources available to tackle Covid-19\.
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国内基金
海外基金
Dynamic Credit Rating with Feedback Effects
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批准号:--
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项目类别:外国学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:Christian Martin Hilpert
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依托单位: