Using Blockchain Technology in Healthcare Settings, 9781032774473
Hardcover
Blockchain: Secure healthcare data, empowering patients, and transforming medical practices.

Using Blockchain Technology in Healthcare Settings

empowering patients with trustworthy data

$263.21

  • Hardcover

    341 pages

  • Release Date

    23 March 2025

Check Delivery Options

Summary

Revolutionizing Healthcare: Blockchain for Secure and Efficient Data Management

This book looks at the integration of blockchain technology in healthcare settings, focusing on its potential to address security and privacy concerns of medical applications. From fragmented electronic health records (EHRs) to data breaches and interoperability issues, innovative solutions are necessary to unlock the full potential of health information and prevent the recurrence of such issues.

Book Details

ISBN-13:9781032774473
ISBN-10:1032774479
Series:Analytics and AI for Healthcare
Author:Ben Othman Soufiene, Saurav Mallik, Abdulatif Alabdulatif
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Hardcover
Number of Pages:341
Release Date:23 March 2025
Weight:810g
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.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.