Department of Economics, Management and Business Law, University of Bari Aldo Moro, 70124 Bari, Italy.
Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari ALDO MORO, 70124 Bari, Italy.
Int J Environ Res Public Health. 2020 Sep 30;17(19):7167. doi: 10.3390/ijerph17197167.
The SARS-CoV2 pandemic has impacted risk management globally. Blockchain has been increasingly applied to healthcare management, as a strategic tool to strengthen operative protocols and to create the proper basis for an efficient and effective evidence-based decisional process. We aim to validate blockchain in healthcare, and to suggest a trace-route for a COVID19-safe clinical practice. The use of blockchain in combination with artificial intelligence systems allows the creation of a generalizable predictive system that could contribute to the containment of pandemic risk on national territory. A SWOT analysis of the adoption of a blockchain-based prediction model in healthcare and SARS-CoV-2 infection has been carried out to underline opportunities and limits to its adoption. Blockchain could play a strategic role in future digital healthcare: specifically, it may work to improve COVID19-safe clinical practice. The main concepts, and particularly those related to clinical workflow, obtainable from different blockchain-based models have been reported here and critically discussed.
SARS-CoV2 大流行已对全球风险管理产生影响。区块链已越来越多地应用于医疗保健管理,成为加强操作协议和为高效、有效的基于证据的决策过程创建适当基础的战略工具。我们旨在验证区块链在医疗保健中的应用,并为 COVID19 安全的临床实践提供一条追踪路线。区块链与人工智能系统的结合使用可以创建一个可推广的预测系统,有助于控制国家领土上的大流行风险。对在医疗保健和 SARS-CoV-2 感染中采用基于区块链的预测模型进行了 SWOT 分析,以强调其采用的机会和限制。区块链在未来的数字医疗保健中可能发挥战略作用:具体来说,它可能有助于改善 COVID19 安全的临床实践。这里报告并批判性地讨论了来自不同基于区块链的模型的主要概念,特别是与临床工作流程相关的概念。