Data Science powered healthcare supply chain network monitoring system in the post-COVID and post-Brexit industrial landscape
Data Science powered healthcare supply chain network monitoring system in the post-COVID and post-Brexit industrial landscape
批准号:
97899
负责人:
金额:
$45.42万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --
中文摘要
去年,欧盟内44%的医疗合同只收到了一个申请者,15%根本没有投标人,这让英国纳税人浪费了数十亿美元的关键医疗资源,因为必须重新发布合同,以及由于缺乏申请者而收到的商品/服务不是最物有所值,特别是中小企业的参与率低,以及供应商的报价匹配不佳。医疗卫生领域的供应商选择、管理和整体采购流程是一个过时/复杂的人工流程,这意味着买家和供应商投入了大量的时间/人力,但由于进入门槛高,错过了许多机会,或者对整个供应基础的可见性很差。此外,在危机时期,如新冠肺炎大流行,关键用品的全球需求突然激增,当前医疗市场明显的缺陷和低效加剧,并使买家面临国家审计署报告的重大供应风险,同时危及患者生命。此外,公共采购中的全球供应链受到其所处法律和政策环境的影响。例如,脱欧后英国公共采购监管框架的改革,以及计划中的现代奴隶法框架改革,都将影响公共采购生态系统。反过来,建立全球供应链和不断创建的网络的动态、最新地图,可以通过确定最合适的政策排列,从而优化政策结果,为政策制定提供信息。医疗保健领域迫切需要一个电子市场,其重点是:(1)提高目前异类或无法访问的供应/需求数据的可见性;(2)允许所有供应商和买家访问,允许捕获采购组合中中小企业的长尾;(3)允许有效和高效的供应链管理(SCM),以实现对采购关系的连接业绩跟踪和衡量;以及(4)允许透镜衡量市场,以便为新的行业格局(COVID后、英国退欧后)的政策制定提供信息。Vamstar提供了一种数据科学支持的方法,以实现医疗保健领域的电子市场。借助多面平台技术,我们的目标是减少和消除市场对买家(NHS、医院、诊所等)的低效率。以及卖方(药品、医疗器械制造商等)。Vamstar将与谢菲尔德大学(UoS)和诺丁汉大学(UON)合作,开发首个医疗公共合同预测和匹配平台。
英文摘要
Last year, 44% of healthcare contracts within the EU received just one applicant and 15% had no bidders at all, costing the UK taxpayer billions in wasted critical-healthcare-resources through having to repost the contracts, and through receiving not best value-for-money goods/services due to the lack of applicants, especially low participation rates of SMEs, and poor matching of offers from suppliers. Supplier selection, management, and overall procurement process in the health sector is a dated/complex manual-process, meaning buyers and suppliers invest a significant amount of time/manpower, yet due to the high barriers of entry, miss many opportunities or have poor visibility across the supply base.Moreover, in times of crisis like the COVID-19 pandemic, where there is a sudden surge in global demand of critical supplies, the apparent flaws and inefficiencies of the current healthcare-marketplace are accentuated and expose the buyers to significant supply-risks -as reported by the National Audit Office- while endangering patient lives. Furthermore global supply chains in public procurement are affected by the legal and policy environment that they inhabit. For example, the reform of the UK public procurement regulatory framework post-Brexit and the planned reform of the Modern Slavery Act framework will affect the public procurement ecosystem. In turn the establishment of a dynamic, up-to-date mapping of global supply chains and of the networks that are constantly created therein can inform policy making, by identifying the most suitable policy permutations and thus optimise policy outcomes.There is a critical need for an e-marketplace in healthcare that focuses on: (1) improving visibility of supply/demand data that are currently heterogeneous or inaccessible; (2) giving access to all suppliers and buyers, allowing capturing of the long tail of SMEs in the procurement mix; (3) allowing effective and efficient supply-chain-management (SCM) to enable connected performance tracking and measurement of the procurement relationships; and (4) allowing a lens to gauge the market in order to inform policy making for the new industrial landscape (post-COVID, post-Brexit).Vamstar offers a data science powered approach towards an e-marketplace in healthcare. With a multi-sided platform technology we aim to reduce and eliminate marketplace inefficiencies for the buyers (NHS, hospitals, clinics etc.) and the sellers (pharmaceuticals, medical device manufacturers etc.). Vamstar will collaborate with the University of Sheffield (UoS) and University of Nottingham (UoN) in order to develop the first healthcare public contract prediction and matching platform.
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