
IoT, Blockchain, and Smart Healthcare
Integration Techniques and Case Studies
by Manoj Kumar, Urmila Pilania, Rohit Tanwar, Neelu Jyothi Ahuja, Mazdak Zamani
1st Edition
Publisher: CRC Press
Book Details
| Print ISBN | 9781032840024 |
| eText ISBN | 9781040410714 |
| Publisher | CRC Press |
| Publishing Year | 2025 |
| Edition | 1st Edition |
| Language | English |
| Pages | 176 |
IoT, Blockchain, and Smart Healthcare (1st Edition) provides an academic examination of integrated digital infrastructures in medical environments. Edited by Manoj Kumar, Urmila Pilania, Rohit Tanwar, Neelu Jyothi Ahuja, and Mazdak Zamani, this volume investigates how connected devices and distributed ledgers address security and management challenges across modern health systems.
The text synthesizes technical methodologies for medical data protection and computational diagnostics. It details steganography approaches designed for healthcare data security, followed by machine learning algorithms built for depression detection within smart healthcare setups. Additionally, the collection presents artificial intelligence techniques created for disease outcome prediction, illustrating how analytical tools process complex patient measurements.
Containing 62 black and white illustrations within its 176 pages, the volume offers structural diagrams of health algorithms and system frameworks. Published by CRC Press, this book provides a technical reference for researchers, healthcare professionals, technology enthusiasts, and policymakers who analyze automated health networks.
Table of Contents
Chapter 1: Introduction of IoT-Blockchain in Smart Healthcare
Chapter 2: Implementing Blockchain for Secure Medical Insurance Claim Settlement Process
Chapter 3: Challenges of IoT-Based Healthcare Ecosystem and Possible Remedies
Chapter 4: Securing AI in Healthcare: Innovations, Architectures, and Privacy Solutions
Chapter 5: Ensuring Patient-Centric Data Control using Blockchain in Smart Healthcare System
Chapter 6: Interface for Monitoring and Tracking Pregnant Women’s Fetal Health Conditions Based on Cardiotocogram Information
Chapter 7: Blockchain for Medical Data Management: Ensuring Integrity and Accessibility
Chapter 8: Exploring the Role of Steganography in Securing Healthcare Data
Chapter 9: Depression Detection Using Machine Learning Algorithms for Smart Healthcare System
Chapter 10: Exploring Artificial Intelligence Techniques for Disease Outcome Prediction: Case Study and Smart Healthcare Integration
Chapter 11: Future Trends and Innovation: Integration of IoT-Blockchain in Healthcare
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