Blockchain and AI Convergence in Electronic Health Record Sharing and Device Authentication

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Authors: Purshottam Hoovayya, R. Sorna Keerthi, S Krishnakumar
Cited by: 0

Abstract

The convergence of Blockchain and Artificial Intelligence (AI) has the potential to revolutionize the management and sharing of Electronic Health Records (EHRs) and the authentication of medical devices, particularly in the context of global healthcare systems. Blockchain’s decentralized and immutable nature ensures enhanced data security, transparency, and patient-centric control, addressing significant challenges such as data breaches, interoperability, and unauthorized access. Simultaneously, AI optimizes EHR sharing by providing real-time predictive analytics, improving decision-making, and detecting anomalies in data access. This chapter explores the integration of Blockchain and AI technologies for securing and optimizing Electronic Health Record sharing, device authentication, and patient consent management. Key issues such as scalability, privacy concerns, cross-border interoperability, and regulatory compliance are discussed, alongside solutions like smart contracts and hybrid blockchain models. The fusion of these technologies offers a new paradigm in ensuring seamless, secure, and efficient healthcare collaboration, which is increasingly critical in a globalized world. As healthcare systems evolve towards digitalization, this chapter provides insights into the challenges and opportunities of adopting Blockchain and AI-driven solutions for enhancing the security and efficiency of healthcare data management.

Fields of Study & Subjects

Blockchain Technology Applications and Security Electronic Health Records Systems Blockchain Technology in Education and Learning

Publication details

Pages
443–478
Publication date
14 January 2026
Document type
Book chapter