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Open AccessArticle

Blockchain in Healthcare: Insights on COVID-19

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
Author to whom correspondence should be addressed.
These authors equally contributed to this work.
Int. J. Environ. Res. Public Health 2020, 17(19), 7167;
Received: 19 August 2020 / Revised: 25 September 2020 / Accepted: 28 September 2020 / Published: 30 September 2020
(This article belongs to the Special Issue COVID-19: A Public Health Approach for Health Professionals)
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. View Full-Text
Keywords: COVID-19; healthcare management; global health; blockchain; artificial intelligence COVID-19; healthcare management; global health; blockchain; artificial intelligence
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Fusco, A.; Dicuonzo, G.; Dell’Atti, V.; Tatullo, M. Blockchain in Healthcare: Insights on COVID-19. Int. J. Environ. Res. Public Health 2020, 17, 7167.

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