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Blockchain and AI in Rural Healthcare: Ensuring Secure and Smart Treatment
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Author(s): Subhi Kumari (Sharda School of Computing Science and Engineering, Sharda University, Greater Noida, India), Kalidindi Sowmya (Sharda School of Computing Science and Engineering, Sharda University, Greater Noida, India), Avinash Kumar Sharma (Sharda School of Computing Science and Engineering, Sharda University, Greater Noida, India), Ashwani Kumar (School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India)and Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India)
Copyright: 2025
Pages: 24
Source title:
AI-Enhanced Cybersecurity for Industrial Automation
Source Author(s)/Editor(s): Hari Mohan Pandey (Bournemouth University, UK)and Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, India)
DOI: 10.4018/979-8-3373-3241-3.ch010
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Abstract
The integration of blockchain, artificial intelligence (AI), and digital twin (DT) technologies is revolutionizing healthcare delivery, particularly in rural and underserved areas. This chapter explains how these technologies combined address some of the most significant issues such as secure handling of electronic health records (EHRs), privacy-preserving data sharing, real-time patient monitoring, and effective healthcare resource management. Blockchain offers decentralized, tamper-proof data management and enhances transparency across medical and pharma supply chains. AI allows predictive healthcare, treatment plans for individuals, and home-based monitoring through the Internet of Medical Things (IoMT), while DTs mimic healthcare systems and patient models to advance planning, diagnostics, and outcomes. The two technologies combined form a more inclusive, smart, and resilient health ecosystem that shatters infrastructure, access, and privacy barriers, allows for real-time decision making, and supports clinical precision among high-risk populations.
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