Telehealth systems have rapidly emerged as a critical component of modern healthcare, enabling remote patient care, real-time monitoring, and improved access to medical services. With the advent of artificial intelligence (AI) and blockchain technology, telehealth systems have witnessed significant advancements in terms of efficiency, security, and interoperability. AI and blockchain technologies have emerged as powerful tools with immense potential in healthcare. However, there exists the problem of effectively categorizing and classifying the various applications and implementations of AI and blockchain technology in the context of telehealth systems. There is a need for a comprehensive taxonomy to organize and understand the diverse applications of AI and blockchain technology in telehealth due to the rapid growth in these fields. Therefore, this chapter presents a taxonomy that explores the integration of AI and blockchain in telehealth systems. The taxonomy aims to categorize, classify, and analyze the various applications, benefits, challenges, and future directions of this integration, providing a comprehensive understanding of the synergistic relationship among AI, blockchain, and telehealth. The chapter, thus, contributes to the advancement and adoption of these technologies in healthcare settings.
Kingsley Theophilus IguluNne Rena Saturday
Odunayo Esther OduntanHassan J. BatureDaniel D. WisdomUgwunna Charles OkechukwuSamson IsaacCathrine Febisola Falayi