Making Case for Using RAFT in Healthcare Through Hyperledger Fabric

Anastasios Alexandridis, Ghassan Al-Sumaidaee (), Rami Alkhudary () and Zeljko Zilic
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Anastasios Alexandridis: McGill University = Université McGill [Montréal, Canada]
Ghassan Al-Sumaidaee: McGill University = Université McGill [Montréal, Canada]
Rami Alkhudary: LARGEPA - Laboratoire de recherche en sciences de gestion Panthéon-Assas - Université Paris-Panthéon-Assas
Zeljko Zilic: McGill University = Université McGill [Montréal, Canada]

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Abstract: Blockchain technology is enabled by consensus algorithms to manage the relationships among several economic or business operators without human intervention. With the help of consensus algorithms, distributed systems can reliably reach agreement even if part of the system is faulty. Blockchain yields many benefits, among others, traceability, transparency, and security. We consider using the RAFT consensus algorithm to achieve robust and scalable decentralized applications, with focus on healthcare. We propose a stylized healthcare network, enabled by RAFT and built upon Hyperledger Fabric to showcase the use of RAFT in healthcare blockchain. However, RAFT is by no means limited to healthcare record systems, and can be applied to any other record system and value chain. Our paper offers several insights to those working in value chains and information management-related fields. In addition, we end our study with some future research avenues that may inspire managers and scholars to build or refine new decentralized systems in healthcare and other related fields.

Keywords: Blockchain; RAFT; Consensus algorithm; Hyperledger Fabric; Value chain; Healthcare (search for similar items in EconPapers)
Date: 2021-12-15
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Published in 2021 IEEE International Conference on Big Data (Big Data), Dec 2021, Orlando, United States. pp.2185-2191, ⟨10.1109/BigData52589.2021.9671934⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-04036480

DOI: 10.1109/BigData52589.2021.9671934

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