Using Blockchain Technology in Healthcare Settings: Empowering Patients with Trustworthy Data: Analytics and AI for Healthcare
Editat de Ben Othman Soufiene, Saurav Mallik, Abdulatif Alabdulatifen Limba Engleză Hardback – 23 mar 2025
Blockchain offers a promising framework for addressing these challenges. Its decentralized, tamper-resistant nature holds the key to building trust and transparency in healthcare data management. By leveraging blockchain technology, secure, interoperable systems empower patients to take control of their health information while facilitating a seamless collaboration among healthcare providers. Throughout this book, the authors explore the fundamental principles of blockchain technology and its applications within the healthcare landscape. From EHRs and patient consent management to pharmaceutical supply chains and clinical research, this book examines how blockchain can drive efficiency, enhance security, and ultimately improve patient outcomes.
This book is intended for a broad audience, including healthcare professionals, patients, policymakers, and anyone interested in the intersection of technology and healthcare.
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Specificații
ISBN-13: 9781032774473
ISBN-10: 1032774479
Pagini: 353
Ilustrații: 130
Dimensiuni: 156 x 234 mm
Greutate: 0.67 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Analytics and AI for Healthcare
ISBN-10: 1032774479
Pagini: 353
Ilustrații: 130
Dimensiuni: 156 x 234 mm
Greutate: 0.67 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Analytics and AI for Healthcare
Public țintă
Professional Practice & Development, Professional Reference, and Undergraduate AdvancedCuprins
1. Applications of Blockchain Technology in the Global Healthcare System. 2. Blockchain Technology in Health Care. 3. Healthcare Monitoring System with Blockchain Technology Tracking Open Donations and Minimizing the Scope of Organ Trafficking. 4. Transforming Healthcare Services in South Asia: Leveraging Blockchain Technology. 5. Challenges and Future Directions of Blockchain Technology in Healthcare Settings. 6. Blockchain-Enabled Radiology: Transformative Potentials and Implementation Hurdles. 7. Introduction to Blockchain and Artificial Intelligence in Health Care. 8. Patient Empowerment through Secure Data Management. 9. Ensuring Data Privacy and Security with Blockchain in Health Care. 10. An Advanced Secure Medical File-Sharing System Based on IPFS and Blockchain Technology. 11. A Survey on Security Enhancements of Electronic Health Records through Blockchain Technology. 12. Blockchain for Halal Integrity in Health Care: Enhancing Compliance, Ensuring Benefits. 13. Nonprobabilistic Approach to Solve Multiobjective Optimization Model with Applications in Blockchain Technology. 14. Decentralizing Health: The Future of Blockchain in Health Care. 15. The Adoption of Blockchain Technology for Recruitment Practices in Healthcare Industries: A Systematic Review.
Notă biografică
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.
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.
Descriere
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. A useful guide for healthcare professionals, patients, policymakers, and those interested in the intersection of technology and healthcare.