Authors :
Shubham Vibhute; Omkar Waghmode; Ajit Gavade; Krishna Ugale; Manish Jansari
Volume/Issue :
Volume 9 - 2024, Issue 2 - February
Google Scholar :
http://tinyurl.com/pvf5abar
Scribd :
http://tinyurl.com/4f9vhmvc
DOI :
https://doi.org/10.5281/zenodo.10677817
Abstract :
In the dynamic landscape of healthcare, the
fusion of blockchain and machine learning has emerged
as a potent force for revolutionizing data security,
interoperability, and decision-making processes within
Smart Healthcare Systems. This survey paper conducts
a systematic review of existing literature, spanning
academia and industry, to comprehensively explore the
current state of this integration. It elucidates the
essential components of smart healthcare systems,
emphasizing the central roles of data management,
security, and interoperability, while unveiling the
intricate challenges and future prospects. The survey
underscores the pressing need to address data security
and interoperability issues and highlights the potential
of blockchain and machine learning to enhance decision-
making in the healthcare ecosystem, making a
significant contribution to this evolving field and guiding
future research and innovation.
Keywords :
Blockchain, Machine Learning, Healthcare, Security, Ethereum, Smart Contract, Electronic Health Records, e-Health, Permissioned Blockchain, Decentralized Database.
In the dynamic landscape of healthcare, the
fusion of blockchain and machine learning has emerged
as a potent force for revolutionizing data security,
interoperability, and decision-making processes within
Smart Healthcare Systems. This survey paper conducts
a systematic review of existing literature, spanning
academia and industry, to comprehensively explore the
current state of this integration. It elucidates the
essential components of smart healthcare systems,
emphasizing the central roles of data management,
security, and interoperability, while unveiling the
intricate challenges and future prospects. The survey
underscores the pressing need to address data security
and interoperability issues and highlights the potential
of blockchain and machine learning to enhance decision-
making in the healthcare ecosystem, making a
significant contribution to this evolving field and guiding
future research and innovation.
Keywords :
Blockchain, Machine Learning, Healthcare, Security, Ethereum, Smart Contract, Electronic Health Records, e-Health, Permissioned Blockchain, Decentralized Database.
