Using Blockchain Technology in Healthcare Settings, 9781032774459
Paperback
Blockchain: Secure healthcare, patient control, and improved outcomes unlocked.

Using Blockchain Technology in Healthcare Settings

empowering patients with trustworthy data

$105.57

  • Paperback

    341 pages

  • Release Date

    23 March 2025

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Summary

Title: Healthcare on the Chain: Revolutionizing Medicine with Blockchain

This book explores the integration of blockchain technology in healthcare, focusing on its potential to address critical security and privacy concerns in medical applications. From fragmented Electronic Health Records (EHRs) and data breaches to interoperability challenges, it highlights the urgent need for innovative solutions to unlock the full potential of health information and prevent future problems.

Book Details

ISBN-13:9781032774459
ISBN-10:1032774452
Series:Analytics and AI for Healthcare
Author:Ben Othman Soufiene, Saurav Mallik, Abdulatif Alabdulatif
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Paperback
Number of Pages:341
Release Date:23 March 2025
Weight:650g
Dimensions:234mm x 156mm
About The Author

Ben Othman Soufiene

Ben Othman Soufiene is an assistant professor of computer science at the University of Gabes, Tunisia. He earned a PhD in computer science at Manouba University in 2016 for his dissertation on “Secure Data Aggregation in Wireless Sensor Networks.” He earned an MS degree at Monastir University in 2012. His research interests include the Internet of Medical Things, wireless body sensor networks, wireless networks, artificial intelligence, machine learning, and big data. He has coauthored more than 110 research articles with a Google H-index of 20.

Saurav Mallik (Member, IEEE) earned a PhD at Jadavpur University, Kolkata, India, in 2017. His postgraduate studies were conducted with the Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India. He is a research scientist at the University of Arizona, USA. He previously held a postdoctoral fellow with Environmental Epigenetics, Harvard T. H. Chan School of Public Health, University of Texas Health Science Center, Houston, and with the Miller School of Medicine, University of Miami, USA. He has coauthored more than 150 research articles with a Google H-index of 20. His research interests include computational biology, bioinformatics, data mining, biostatistics, and pattern recognition.

Abdulatif Alabdulatif is an assistant professor at the School of Computer Science and Information Technology, Qassim University, Saudi Arabia. He earned a PhD in computer science at RMIT University, Australia, in 2018. He earned a BSc in computer science at Qassim University, Saudi Arabia, in 2008, and an MSc in computer science at RMIT University, Australia, in 2013. He has published more than 70 academic papers in prominent journals. His research interests include applied cryptography, cloud computing, and e-health.

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