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动态弹性资源管理(DRR)是一套高级工具,使卫生保健和护理提供者能够有效地规划、共享卫生保健资源以及急慢性患者需求并进行协作。正如最近应对新冠肺炎影响的经验所表明的那样,有效的规划对于最大限度地减少对卫生和经济的干扰至关重要。从医疗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弹性,确定资源压力将出现在哪里,并能够快速、智能地对能力和需求的变化做出反应。这项工作建立在NQMCare已经在医疗和社会保健分析和规划领域提供的获奖解决方案的基础上。我们已经开展了一些开创性的全科医生实践工作,使他们能够了解患者需求和员工技能,并在患者治疗过程中更早地将它们匹配起来。DRR在其集成和动态的方法方面提供了重大创新,以应对Covie等快速变化的情况。传统上,卫生和社会护理提供者使用资源孤岛。工作人员被认为接受了非常具体的学科培训,有固定的工作流程,服务用户的访问点有限。最重要的是,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,甚至无法共享有关其资源的信息。DRR通过提供工具来实现资源的智能透明、共享和分配,从而挑战了这一模式。DRR是一个跨卫生保健系统集成的动态资源模型。它由多个集成模块组成:*人口模型:英国的细粒度人口模型*需求模型:灵活的需求模型,预测随着时间的推移对技术人员的细粒度资源需求*资源模型:具有初级、二级、社会和社区护理服务的馈送*技能模型:确定哪些技术人员可以处理哪些护理需求的详细模型*实时能力模型:使用预约数据提供有关需求波动的最新信息和*场景建模:能够模拟基础模型上的不同场景模型最初将重点放在人力资源(技能人员)上,但也可以适用于其他固定资源(车辆、设备、我们设想了一个能够提供数据支持的建议和工具的系统,以:*战略性地管理劳动力和适应能力的培训,并满足未来的需求*战术性地对传入需求进行分类,并将传入需求定向到首要/次要/社会和社区中最合适的劳动力*管理资源以优化成本效率*使提供商能够共享资源*了解错误幅度和风险*通过优化使用现有资源来应对实时需求波动NQMCare是一家专注于医疗和社会护理分析的新公司。我们与当地政府(南安普顿、波特茅斯、牛津郡、桑德兰和托芬)合作,在市场上推出了管理住所社会护理的早期产品。我们得到了当地全科医生诊所和南安普敦CCG的支持,并相信DRR将增加可用资源来应对新冠肺炎。
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: