Harnessing the Potential of Blockchain Technology in the Smart Healthcare

Erscheinungsjahr 2026
ISBN: 978-0-443-30192-6
Verlag: Elsevier Science

Buch, Englisch, 320 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

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.

Autoren/Hrsg.

Bhambri, Pankaj

Anh Tran, Tien

Prasad, Mukesh

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften

Inhaltsverzeichnis

Part I: Introduction to Blockchain Technology in Healthcare

1. Understanding Blockchain Technology 2.
2. Healthcare Landscape and Challenges

Part II: Foundations of Blockchain in Healthcare
3. Security and Privacy in Healthcare Blockchain
4. Smart Contracts and Healthcare
5. Interoperability and Health Information Exchange

Part III: Implementing Blockchain in Healthcare
6. Electronic Health Records (EHR) on the Blockchain
7. Supply Chain Management in Healthcare

Part IV: Use Cases and Case Studies
8. Patient Empowerment and Control of Health Data
9. Telemedicine and Telehealth on the Blockchain
10. Global Health and Humanitarian Efforts

Part V: Regulatory and Ethical Considerations
11. Legal and Regulatory Framework
12. Future Trends and Challenges

Part VI: Practical Guidance and Implementation
13. Implementing Blockchain Solutions

Part VII: Cybersecurity in Sustainable Business Models
14. Cybersecurity for Sustainable Entrepreneurship
15. Protecting Sustainable Supply Chains from Cyber Threats

Part VIII: Conclusion and Future Outlook
16. Conclusion: The Future of Healthcare on the Blockchain
17. Assessing the Landscape of Health Care Decision-Making an In-Depth Evaluation and Analysis
18. Blockchain Technology in Healthcare: Revolutionizing Data Security, Interoperability, and Patient Care
19. A Holistic Approach to Navigating the Healthcare Landscape: Current Challenges and Emerging Opportunities
20. To Create an Accessibility Mechanism for Patient Data in Healthcare Using Blockchain Technology
21. BlockChain Technology, Know your Customer (KYC), and the Challenges of Security Concerns in the Banking Sector in Nigeria
22. Ensuring Integrity and Transparency in Healthcare Supply Chains: A Blockchain-Driven Approach
23. A Machine Learning Approach based Chronic Kidney Disease Detection and Prediction
24. Virtual Healing: An Analysis of Enhancing Healthcare Through Telemedicine and Remote Patient Monitoring
25. Connected Health: Unveiling the Power of IoMT in Monitoring Human Biological Parameters
26. Enhancing Interoperability and Security of Health Information during Transmission over Wireless Acoustic Sensor Networks
27. Enabling Trust and Transparency: The Role of Blockchain in Smart Healthcare Ecosystems

Über Autor(innen)

Prasad, Mukesh
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.

Anh Tran, Tien
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)

Bhambri, Pankaj
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.