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June 19, 2025· BENTHAM SCIENCE PUBLISHERS eBooks
book-chapter

Blockchain to Unblock the Bio-verse: Implications of Blockchain Technology in Healthcare and Allied Fields

Authors:Shivangi YadavDeepak RathodMegha SinghSayan Chatterjee

Abstract

Blockchain technology, with its decentralized architecture, immutable transaction records, and cryptographic security, holds transformative potential for the healthcare industry. Initially focused on finance, blockchain now simplifies secure patient records, data sharing, and health monitoring in healthcare. Additionally, blockchain can enhance supply chain management to combat pharmaceutical counterfeiting, ensuring medication traceability and protecting patient well-being. The technology supports improved public healthcare management by providing a transparent and secure database for patient information, empowering users to control their medical data, and simplifying data sharing while maintaining confidentiality. It also aids in the development of electronic medical records (EMRs), addressing legislative and administrative challenges, and enabling patients to securely own and manage their medical data. Furthermore, blockchain's decentralized design can enhance machine learning by ensuring data accuracy and reliability, thereby improving healthcare analytics. This technology offers a visible and trustworthy system for managing healthcare data, ensuring efficient claims processing, and maintaining permissions in electronic health records (EHRs). Blockchain solutions address data privacy and centralized administration issues by providing a secure, user-controlled decentralized network. This fosters transparency, accountability, and secure data collaboration among healthcare participants. This chapter will discuss the transformative impact of blockchain technology on the healthcare industry, including secure patient record management, combating pharmaceutical counterfeiting, and enhancing data sharing and privacy. It will also explore the integration of blockchain with machine learning to improve healthcare analytics and address ethical and legal considerations for responsible use.

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