Harnessing the Potential of Blockchain Technology in the Smart Healthcare

· ·
· Elsevier
Ebook
320
Pages
Eligible
This book will become available on June 1, 2025. You will not be charged until it is released.

About this ebook

Harnessing the Potential of Blockchain Technology in the Smart Healthcare represents a transformative paradigm shift in the way healthcare data is managed, shared, and secured. This book not only serves as a vital resource in addressing the pressing need for comprehensive understanding and practical insights into the intersection of blockchain technology and healthcare, it also demystifies the complex world of blockchain and demonstrate its transformative potential within the healthcare industry. In 15 chapters the reader discovers how blockchain can revolutionize electronic health records, enhance data security and privacy, streamline healthcare operations, and empower patients to have greater control over their health information. Through real-world case studies, expert analyses, and actionable strategies, this book aims to equip its audience with the knowledge and tools to harness blockchain's capabilities for the betterment of healthcare, ultimately leading to more efficient, transparent, and patient-centric healthcare systems. By examining real-world use cases and practical implementations, the book equips healthcare professionals with the knowledge needed to unlock the transformative potential of blockchain, ultimately fostering a more transparent, efficient, and patient-empowered healthcare ecosystem. - 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 the author

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. 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 Mukesh Prasad is a Senior Lecturer at the School of Computer Science in the Faculty of Engineering and IT at UTS who has made substantial contributions to the fields of machine learning, artificial intelligence and the internet of things. Mukesh’s research interests include also big data, computer vision, brain computer interface, and evolutionary computation. He has written more than 120 research papers. Mukesh started his academic career as a lecturer with UTS in 2017 and became a core member of the University’s world-leading Australian Artificial Intelligence Institute (AAII), which has a vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer at the Taiwan Semiconductor Manufacturing Company. Mukesh received his PhD from the Department of Computer Science at the National Chiao Tung University in Taiwan.

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