Blockchain in Healthcare: Insights on COVID-19

Antonio Fusco, Grazia Dicuonzo, Vittorio Dell’Atti and Marco Tatullo
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Antonio Fusco: Department of Economics, Management and Business Law, University of Bari Aldo Moro, 70124 Bari, Italy
Grazia Dicuonzo: Department of Economics, Management and Business Law, University of Bari Aldo Moro, 70124 Bari, Italy
Vittorio Dell’Atti: Department of Economics, Management and Business Law, University of Bari Aldo Moro, 70124 Bari, Italy
Marco Tatullo: Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari ALDO MORO, 70124 Bari, Italy

IJERPH, 2020, vol. 17, issue 19, 1-12

Abstract: 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.

Keywords: COVID-19; healthcare management; global health; blockchain; artificial intelligence (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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