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May 6, 2025Ā· Handbook of Deep Learning Models for Healthcare Data Processing
book-chapter

Transforming Healthcare with Smart Contracts

Authors:Alock GuptaKamlesh Lakhwani

Abstract

Healthcare has found several applications for smart contracts, including the safe and decentralized management of patient data, the tracking of drug adherence, and the automatic filing of insurance claims. Innovations in blockchain-based healthcare applications have the potential to radically alter the healthcare system as we know it. Quality of service (QoS) is a metric of how well a system meets the needs of its customers. Availability, dependability, performance, and security are all examples of QoS concerns that arise in the healthcare industry. However, the success of these applications depends heavily on the QoS of smart contracts. Recent researchers have considered traditional healthcare solutions and service quality while thinking about smart contracts. In this chapter, the authors provide a new method for improving QoS in smart contracts in healthcare. Toward the aim of building a smart contract that would provide a more scalable, flexible, efficient, and high-performance mechanism for secure transaction, the authors performed the following steps: literature review, defining objectives, selecting relevant datasets, data preprocessing, choosing a suitable Blockchain platform, developing smart contracts, integrating the datasets, testing and evaluating the solution, addressing ethical considerations, and documenting the research methodology. This approach aimed to improve data integrity, streamline healthcare transactions, and enhance patient privacy while addressing healthcare challenges.

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