Harnessing the Potential of Blockchain Technology in the Smart Healthcare (Advanced Topics in Biomaterials) - Softcover

Softcover

ISBN 10: 0443301921 ISBN 13: 9780443301926

Publisher: Academic Press, 2026

Synopsis

Harnessing the Potential of Blockchain Technology in the Smart Healthcare explores a groundbreaking shift in how healthcare data are managed, shared, and secured. This book is an essential guide for anyone seeking a deep understanding of the intersection between blockchain and healthcare. It breaks down complex blockchain concepts and reveals their transformative impact on the industry.
Across 27 insightful chapters, the readers will discover how blockchain can not only revolutionize electronic health records, strengthen data security and privacy, and streamline healthcare operations, but also empower patients with greater control over their health information.
Through real-world case studies, expert insights, and practical strategies, the book equips healthcare professionals, technologists, and policymakers with the tools to leverage blockchain for a more efficient, transparent, and patient-centered healthcare system.
By examining real-world applications and implementations, this book not only informs but also inspires action―paving the way for a future where healthcare is smarter, safer, and more equitable.

• Illuminates how blockchain technology enhances data security and privacy, assuaging concerns about patient information breaches
• Explores concrete strategies for interoperability, facilitating seamless data exchange among healthcare providers, and promoting a patient-centric approach to healthcare
• Delves into the complexities of regulatory compliance and suggests pathways for healthcare organizations to navigate the evolving regulatory landscape successfully

About this title

About the Authors

Dr. Pankaj Bhambri is affiliated with the Department of Information Technology at Guru Nanak Dev Engineering College in Ludhiana. His research work has been published in esteemed worldwide and national journals, as well as conference proceedings. Dr. Bhambri has made significant contributions to the academic field through his role as both an editor and author of various textbooks. He successfully organized a diverse range of educational programmes, securing financial backing from esteemed institutions such as the All India Council for Technical Education (AICTE), the Technical Education Quality Improvement Programme (TEQIP), among others. Dr. Bhambri’s areas of interest encompass machine learning, bioinformatics, wireless sensor networks, and network security. Dr. Bhambri possesses a wide array of professional responsibilities, encompassing the duties of an educator, editor, author, reviewer, expert speaker, motivator, and technical committee member for esteemed national and worldwide organizations.

Dr. Tien Anh Tran (IEEE Member, IMarEST Member) a Research Fellow at Seoul National University, Seoul city, South Korea. He is an Assistant Professor (Lecturer) at Department of Marine Engineering, Vietnam Maritime University, Haiphong City, Vietnam. Additionally, he is also an Honorary Professor at School of Computing Science and Engineering, Galgotias University, India. He received B.Eng and M.Sc at Vietnam Maritime University, Vietnam in 2011 and 2014, respectively. He got Ph.D. Degree at Wuhan University of Technology, Wuhan, China in 2018. In 2022, he is one of five outstanding scientists in Vietnam to be nominated for Ta Quang Buu prize by the National Foundation for Science & Technology Development (NAFOSTED)

Dr Mukesh Prasad is an Associate Professor in the School of Computer Science, Faculty of Engineering and IT at the University of Technology Sydney (UTS). He has made significant contributions to the fields of Machine Learning, Artificial Intelligence, Data Analytics, and Natural Language Processing. His research interests also span several emerging areas, including Big Data, Computer Vision, Brain-Computer Interfaces, Evolutionary Computation, and the Internet of Things (IoT). He has authored more than 200 peer-reviewed research papers in leading journals and conferences, including publications in high-impact venues. His academic achievements are complemented by strong industry experience. He served as Principal Engineer at Taiwan Semiconductor Manufacturing Company (TSMC) from 2016–2017, where he developed advanced image processing and pattern recognition algorithms using machine learning. He was a postdoctoral researcher leading a Big Data and computer vision team at National Chiao Tung University, Taiwan (2015).

Edition details

• Publisher: Academic Press
• Publication date: 2026
• Language: English
• ISBN 10: 0443301921
• ISBN 13: 9780443301926
• Binding: Paperback
• Edition number: 1
• Number of pages: 432
• Editor: Bhambri PhD Pankaj, Anh Tran PhD. Tien, Prasad PhD Mukesh