Blockchain-Enabled Innovations in Location-Based Services for Healthcare
- 1st Edition - November 1, 2026
- Latest edition
- Editors: Ajay Kumar Gupta, Udai Shanker, Vijayalakshmi Saravanan, Sanjay Kumar
- Language: English
Blockchain-Enabled Innovations in Location-Based Services for Healthcare addresses the growing need for secure, intelligent healthcare solutions integrating location-based servic… Read more
Description
Description
Blockchain-Enabled Innovations in Location-Based Services for Healthcare addresses the growing need for secure, intelligent healthcare solutions integrating location-based services (LBS), Internet of Things (IoT), and blockchain technologies. This reference explores how these technologies transform healthcare delivery improving autonomy and real-time care while safeguarding sensitive data. It responds to the challenges posed by the proliferation of wearable sensors and smart medical devices by proposing decentralized, privacy-preserving frameworks.
The book’s comprehensive chapters cover blockchain trust models, adaptive privacy for patient trajectories, wearable computing, deep learning for medical imaging, secure communication in healthcare IoT, and AI-powered diagnostics. Contributions from global experts provide case-driven analyses and technical depth, addressing current challenges in healthcare data security, interoperability, and predictive modeling. The interdisciplinary approach integrates computer science, data privacy, and healthcare informatics, making it a valuable resource for researchers and professionals.
Blockchain-Enabled Innovations in Location-Based Services for Healthcare benefits academic researchers, industry practitioners, graduate students, and policymakers by offering cutting-edge knowledge in secure, decentralized healthcare systems. It equips readers with advanced methodologies and practical solutions to design inclusive healthcare technologies, fostering innovation in smart health monitoring, medical image analysis, and data-driven diagnostics within privacy-compliant frameworks.
The book’s comprehensive chapters cover blockchain trust models, adaptive privacy for patient trajectories, wearable computing, deep learning for medical imaging, secure communication in healthcare IoT, and AI-powered diagnostics. Contributions from global experts provide case-driven analyses and technical depth, addressing current challenges in healthcare data security, interoperability, and predictive modeling. The interdisciplinary approach integrates computer science, data privacy, and healthcare informatics, making it a valuable resource for researchers and professionals.
Blockchain-Enabled Innovations in Location-Based Services for Healthcare benefits academic researchers, industry practitioners, graduate students, and policymakers by offering cutting-edge knowledge in secure, decentralized healthcare systems. It equips readers with advanced methodologies and practical solutions to design inclusive healthcare technologies, fostering innovation in smart health monitoring, medical image analysis, and data-driven diagnostics within privacy-compliant frameworks.
Key features
Key features
- Provides comprehensive coverage of blockchain, AI, and IoT integration in healthcare
- Presents case-driven methodologies with real-world healthcare implementations
- Offers advanced research insights on big data analytics and medical image processing
- Integrates privacy-preserving technologies with IoT and big data analytics
Readership
Readership
Researchers and engineers specializing in artificial intelligence, Internet of Things (IoT), and healthcare technology; graduate and postgraduate students in biomedical engineering, healthcare technology, computer science, and robotics
Table of contents
Table of contents
Part I: Foundations of Blockchain in Location-Based Healthcare
1. Blockchain Technology in Healthcare: Secure Data Management, Interoperability, and Emerging Applications
2. Patient Trust and Adoption of Blockchain-Enabled Location-Based Healthcare Services
3. Secure and Trustworthy Location-Based Services in Healthcare Using Blockchain: Concepts and Frameworks
4. Privacy-Preserving Healthcare Using Zero-Knowledge Proofs in Permissioned Blockchain Systems
Part II: Enabling Infrastructure and Systems
5. A Blockchain-Enabled Wearable Computing Framework for Secure and Personalized Location-Based Healthcare
6. Blockchain-Empowered Wireless Sensor Networks and IoT for Intelligent Location-Aware Healthcare Monitoring
7. Secure Communication and Trust-Aware Routing in Blockchain-Enabled Location-Based Healthcare IoT
8. Blockchain-Assisted Healthcare Management Systems: Architecture, Challenges, and Future Directions
Part III: AI, Analytics, and Intelligent Methods
9. Blockchain-Enabled Location-Based Healthcare Analytics Using Artificial Intelligence and Machine Learning
10. A Decentralized Deep Learning Framework for Location-Aware Early Disease Diagnosis
11. Securing Location-Aware Medical Imaging with Blockchain-Backed Deep Forensics
12. A Systematic Review of Image Forensics and Deep Learning for Secured Blockchain-Enabled Healthcare Data
Part IV: Applications in Smart and Personalized Healthcare
13. Explainable AI-Driven Prediction Systems for High-Risk Pregnancy in Remote and Resource-Constrained Settings
14. Spatially Adaptive Diagnostic Frameworks for Respiratory Diseases Using Multi-Source Healthcare Data
15. Image and Video Analytics for Blockchain-Managed Location-Based Smart Healthcare: Elderly and Child Safety
16. Image and Video Analytics for Blockchain Managed Location Based Smart Healthcare for Elderly and Child Safety
17. GluCon-BIoT: A Patient-Centric Blockchain-Enabled IoT Framework for Blood Glucose Monitoring
Part V: Advanced and Emerging Innovations
18. Integrating Artificial Intelligence, Blockchain, and Medical Imaging for Advanced Location-Aware Healthcare Applications
19. CF-ReplGraphChain: A Federated, Causal, and Blockchain-Enabled Graph Learning Framework for Healthcare Anomaly Detection
20. Hybrid Machine Learning Approaches for Non-Invasive Mental Stress Prediction in Smart Healthcare Systems
21. Cybersecurity and Digital Watermarking in Blockchain-Enabled Location-Based Healthcare Systems: Trends and Challenges
1. Blockchain Technology in Healthcare: Secure Data Management, Interoperability, and Emerging Applications
2. Patient Trust and Adoption of Blockchain-Enabled Location-Based Healthcare Services
3. Secure and Trustworthy Location-Based Services in Healthcare Using Blockchain: Concepts and Frameworks
4. Privacy-Preserving Healthcare Using Zero-Knowledge Proofs in Permissioned Blockchain Systems
Part II: Enabling Infrastructure and Systems
5. A Blockchain-Enabled Wearable Computing Framework for Secure and Personalized Location-Based Healthcare
6. Blockchain-Empowered Wireless Sensor Networks and IoT for Intelligent Location-Aware Healthcare Monitoring
7. Secure Communication and Trust-Aware Routing in Blockchain-Enabled Location-Based Healthcare IoT
8. Blockchain-Assisted Healthcare Management Systems: Architecture, Challenges, and Future Directions
Part III: AI, Analytics, and Intelligent Methods
9. Blockchain-Enabled Location-Based Healthcare Analytics Using Artificial Intelligence and Machine Learning
10. A Decentralized Deep Learning Framework for Location-Aware Early Disease Diagnosis
11. Securing Location-Aware Medical Imaging with Blockchain-Backed Deep Forensics
12. A Systematic Review of Image Forensics and Deep Learning for Secured Blockchain-Enabled Healthcare Data
Part IV: Applications in Smart and Personalized Healthcare
13. Explainable AI-Driven Prediction Systems for High-Risk Pregnancy in Remote and Resource-Constrained Settings
14. Spatially Adaptive Diagnostic Frameworks for Respiratory Diseases Using Multi-Source Healthcare Data
15. Image and Video Analytics for Blockchain-Managed Location-Based Smart Healthcare: Elderly and Child Safety
16. Image and Video Analytics for Blockchain Managed Location Based Smart Healthcare for Elderly and Child Safety
17. GluCon-BIoT: A Patient-Centric Blockchain-Enabled IoT Framework for Blood Glucose Monitoring
Part V: Advanced and Emerging Innovations
18. Integrating Artificial Intelligence, Blockchain, and Medical Imaging for Advanced Location-Aware Healthcare Applications
19. CF-ReplGraphChain: A Federated, Causal, and Blockchain-Enabled Graph Learning Framework for Healthcare Anomaly Detection
20. Hybrid Machine Learning Approaches for Non-Invasive Mental Stress Prediction in Smart Healthcare Systems
21. Cybersecurity and Digital Watermarking in Blockchain-Enabled Location-Based Healthcare Systems: Trends and Challenges
Product details
Product details
- Edition: 1
- Latest edition
- Published: November 1, 2026
- Language: English
About the editors
About the editors
AG
Ajay Kumar Gupta
Dr. Ajay Kumar Gupta is Assistant Professor of Computer Science at Allahabad Degree College, University of Allahabad, India. He earned his Ph.D. from M.M.M. University of Technology, Gorakhpur, specializing in spatio-temporal databases, location-based services, and mobile distributed systems. With 28 publications in reputed journals and conferences, serves as a reviewer for multiple international publishers. Dr. Gupta advocates for ethical research practices.
Affiliations and expertise
Assistant Professor, Department of Computer Science Allahabad Degree College, University of Allahabad, Prayagraj, IndiaUS
Udai Shanker
Dr. Udai Shanker, Professor at M.M.M. University of Technology, Gorakhpur, holds a Ph.D. from IIT Roorkee. A respected academic and researcher, he has authored 119 papers and contributed significantly to real-time and distributed database systems. He serves on editorial boards of nine international journals and is recognized for his impactful teaching and research in distributed real-time databases and grid databases.
Affiliations and expertise
Professor, Department of Computer Science and Engineering, M. M. M. University of Technology, Gorakhpur, IndiaVS
Vijayalakshmi Saravanan
Dr. Vijayalakshmi Saravanan is Assistant Professor at the University of Texas at Tyler and visiting faculty at Brookhaven National Lab. She earned her Ph.D. through the Erasmus Mundus EU-Government Fellowship and has held postdoctoral positions at the University at Buffalo and University of Waterloo. Her research spans HPC, AI, machine learning, and power-aware processor design. She has received numerous awards, including a $750,000 DOE FAIR grant, and actively contributes as an editor and leader in IEEE, ACM, and other professional organizations.
Affiliations and expertise
Assistant Professor, University of Texas at Tyler, Tyler, Texas, USASK
Sanjay Kumar
Sanjay Kumar is a Manager at Concentrix in Atlanta, GA. Previously, he served as a Technical/Project Lead at HCL America Inc. and was a core team member of a pilot batch. He has over 12 years of solid IT experience in ASM, DevOps, Configuration Management, Infrastructure, Production Support, and Operations Leadership, primarily supporting telecom client T-Mobile Inc., USA, through various vendors. He leads multiple technical projects, ensuring timely completion within budget while meeting business requirements. His project experience includes web applications (TMO, MYMTO, Ebill, WPC, Product Catalog, Epiphany, etc.), retail applications (POS, mPOS, EIP, QV, QVXP, TESA, Vertex, Watson, Watson Admin, TOM/DASH, TAP, TBC, B2B), care applications (Streamline, Care), and order management OMNI applications, coordinating with third-party vendors such as Vesta, Apple, and IBM in partnership with T-Mobile. He is experienced in service delivery, managing external managed service providers, evaluating service delivery reports, and performing weekly analyses covering SLAs and overdue issues. His certifications include SAFe 4 Product Owner/Product Manager (2020), SAFe® 4 DevOps Practitioner (2019), ITIL V3 Foundation (2014), and Relational Database Management System (RDBMS) (2009).
Affiliations and expertise
Manager, Concentrix, Atlanta, GA, USA