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Blockchain and Deep Learning for Smart Healthcare
book

Blockchain and Deep Learning for Smart Healthcare

by Akansha Singh, Anuradha Dhull, Krishna Kant Singh
January 2024
Intermediate to advanced content levelIntermediate to advanced
480 pages
11h 53m
English
Wiley-Scrivener
Content preview from Blockchain and Deep Learning for Smart Healthcare

7Blockchain in Healthcare: Use Cases

Utsav Sharma1, Aditi Ganapathi1, Akansha Singh2* and Krishna Kant Singh3

1ASET, Amity University, Noida, India

2SCSET, Bennett University, Greater Noida, India

3Delhi Technical Campus, Greater Noida, India

Abstract

The creation of state-of-the-art trusted frameworks for healthcare services that are centered around patients is necessitated by the increasing life expectancy, ease of access to healthcare, and better standards of living over the years. While conditions in the healthcare sector have been constantly improving, there are still various unresolved issues that need to be addressed. Moreover, with the evolution of technology, the existing methods of keeping records, tracking credentials, and ensuring the security of data can be made more efficient at a lower cost. One of the proposed systems is blockchain. This is an emerging field, with more and more companies using this technology to benefit practitioners in the healthcare sector, as well as patients. The application of blockchain can have a revolutionary positive impact in the field of medicine.

Keywords: Blockchain, decentralization, interoperability, medicare

7.1 Introduction

Blockchains have varied definitions. According to Hileman and Rauchs [1], a distributed database is one where data are stored in multiple computers, while a distributed ledger is a distributed data type that assumes the possibility of the presence of malicious users or nodes. From these two definitions, ...

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Publisher Resources

ISBN: 9781119791744Purchase Link