Addressing computational complexity issues in telehealth systems using artificial intelligence and blockchain technology

Abstract

The integration of artificial intelligence (AI) and blockchain technology in telehealth systems holds great potential for transforming healthcare delivery. This chapter explores the architecture, functionality, and key applications of AI and blockchain in telehealth systems. We begin by highlighting the increasing utilization of telehealth services, particularly during the COVID-19 pandemic, and the advantages they offer, such as convenience, cost savings, and improved patient insights. The chapter also outlines the challenges and research gaps in telehealth systems, including privacy concerns, efficient data processing, regulatory compliance, and the urgency associated with resolving the ensuing computational issues arising from the use of telehealth systems. The proposed solution involves leveraging AI-based algorithms for the analysis of complex patient data, leading to improved outcomes, reduced costs, and enhanced decision-making for healthcare providers. Additionally, the chapter delves into the integration of blockchain technology to guarantee data security, privacy, interoperability, and addressing concerns related to data integrity and access control while AI systems are more tailored toward remote patient monitoring, accurate diagnosis, treatment planning, patient engagement, and chronic disease management. Furthermore, the chapter discusses the implications of recent research findings in telehealth care, emphasizing the ethical considerations of bias in AI algorithms and the importance of transparency and accountability. Also, in this chapter, regulatory compliance is identified as a critical factor, and the need for careful integration of AI and blockchain technologies within existing healthcare frameworks is highlighted. Finally, future research directions focusing on addressing scalability challenges, improving interoperability, developing user-friendly interfaces, and enhancing the usability of AI and blockchain-empowered telehealth systems are presented.

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