Big Data-Driven Healthcare Project Financing

Roberto Moro Visconti
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引用次数: 1

Abstract

Healthcare investments are faced by the need to match growing expenses, due to ageing population trends, with public budget constraints. Infrastructural PF packages are by now popular and effective, although they are rigid and long-termed. Big data-driven value chains add unprecedented information to project financing (PF) and public private partnerships (PPPs), especially in healthcare investments. Big data and Internet of Health sensors, currently adopted in telemedicine, can be applied even to PF strategies, providing useful information to data-driven business plans. Public and Private Partners interact through networking big data and interoperable databases, boosting value co-creation, improving Value for Money, and reducing risk. Policy makers can conveniently use networked big data to enrich their feasibility plans, whereas private managers may extract precious information from public healthcare databases. Big data can also help shortening supply chain passages, boosting economic marginality and easing the sustainable planning of smart healthcare investments.
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大数据驱动的医疗项目融资
由于人口老龄化趋势,医疗保健投资面临着需要与公共预算限制相匹配的日益增长的费用。基础架构PF包现在很流行,也很有效,尽管它们是严格的和长期的。大数据驱动的价值链为项目融资(PF)和公私合作伙伴关系(ppp)提供了前所未有的信息,特别是在医疗保健投资方面。目前在远程医疗中采用的大数据和健康互联网传感器甚至可以应用于PF战略,为数据驱动的商业计划提供有用的信息。公共和私营合作伙伴通过网络大数据和可互操作的数据库进行互动,促进价值共同创造,提高物有所值,降低风险。政策制定者可以方便地使用联网大数据来丰富他们的可行性计划,而私人管理者可以从公共医疗数据库中提取宝贵的信息。大数据还可以帮助缩短供应链通道,提高经济边际性,并简化智能医疗投资的可持续规划。
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