One of the major problems associated with healthcare is protecting patient privacy, as sensitive data can be disclosed carelessly. Implementing a digital healthcare system that uses blockchain (BC) technology could help improve the security of this information. BC can be integrated with other digital tools, such as the Internet of Things, big data, information and communication technology, and artifcial intelligence (AI), expanding its felds of application. The present paper provides an overview of the opportunities offered specifcally by the combination of BC and AI. To do this, the authors conducted a systematic literature review using the Web of Science and Scopus. The meta-data were reported in a Preferred Reporting Items for Systematic Reviews and Meta-Analyses diagram, showing that among the 168 articles identifed, only 21 were effectively included according to the authors’ criteria. The fndings revealed growing attention to this topic over the last 2 years, above all among Indian and American scholars, and the opportunity to ensure the security and privacy of patient data and to improve the diagnosis, prevention, and treatment of diseases. These preliminary results are strategic to fll the gaps in research and to provide useful information to policymakers for supporting the digital transition of this system.
Digital Innovation in the Healthcare System: Integration Between Blockchain and Artificial Intelligence
Rana, Roberto Leonardo;Lombardi, Mariarosaria;Tricase, Caterina
2024-01-01
Abstract
One of the major problems associated with healthcare is protecting patient privacy, as sensitive data can be disclosed carelessly. Implementing a digital healthcare system that uses blockchain (BC) technology could help improve the security of this information. BC can be integrated with other digital tools, such as the Internet of Things, big data, information and communication technology, and artifcial intelligence (AI), expanding its felds of application. The present paper provides an overview of the opportunities offered specifcally by the combination of BC and AI. To do this, the authors conducted a systematic literature review using the Web of Science and Scopus. The meta-data were reported in a Preferred Reporting Items for Systematic Reviews and Meta-Analyses diagram, showing that among the 168 articles identifed, only 21 were effectively included according to the authors’ criteria. The fndings revealed growing attention to this topic over the last 2 years, above all among Indian and American scholars, and the opportunity to ensure the security and privacy of patient data and to improve the diagnosis, prevention, and treatment of diseases. These preliminary results are strategic to fll the gaps in research and to provide useful information to policymakers for supporting the digital transition of this system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
