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Blockchain in Healthcare: Insights on COVID-19

Author

Listed:
  • 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
    These authors equally contributed to this work.)

  • Marco Tatullo

    (Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari ALDO MORO, 70124 Bari, Italy
    These authors equally contributed to this work.)

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.

Suggested Citation

  • Antonio Fusco & Grazia Dicuonzo & Vittorio Dell’Atti & Marco Tatullo, 2020. "Blockchain in Healthcare: Insights on COVID-19," IJERPH, MDPI, vol. 17(19), pages 1-12, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:7167-:d:421974
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    References listed on IDEAS

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    Cited by:

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    2. Bhaskara S. Egala & Ashok K. Pradhan & Shubham Gupta & Kshira Sagar Sahoo & Muhammad Bilal & Kyung-Sup Kwak, 2022. "CoviBlock: A Secure Blockchain-Based Smart Healthcare Assisting System," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    3. Ignacio Rodríguez-Rodríguez & José-Víctor Rodríguez & Niloofar Shirvanizadeh & Andrés Ortiz & Domingo-Javier Pardo-Quiles, 2021. "Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining," IJERPH, MDPI, vol. 18(16), pages 1-29, August.
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    5. Virginia Milone & Antonio Fusco & Angelamaria De Feo & Marco Tatullo, 2024. "Clinical Impact of “Real World Data” and Blockchain on Public Health: A Scoping Review," IJERPH, MDPI, vol. 21(1), pages 1-14, January.
    6. Peng Jiang & Jiří Jaromír Klemeš & Yee Van Fan & Xiuju Fu & Yong Mong Bee, 2021. "More Is Not Enough: A Deeper Understanding of the COVID-19 Impacts on Healthcare, Energy and Environment Is Crucial," IJERPH, MDPI, vol. 18(2), pages 1-22, January.
    7. Massaro, Maurizio, 2023. "Digital transformation in the healthcare sector through blockchain technology. Insights from academic research and business developments," Technovation, Elsevier, vol. 120(C).
    8. Satish Kumar & Weng Marc Lim & Uthayasankar Sivarajah & Jaspreet Kaur, 2023. "Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis," Information Systems Frontiers, Springer, vol. 25(2), pages 871-896, April.

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