Integrating IoT, Blockchain, and Quantum Machine Learning
Dankan Gowda V, J. Rajalakshmi, B Guruprakash, Venkatesan Hariram, KDV Prasad · 2025
This chapter discusses the transformative nature by which IoT, blockchain and QML converge to address healthcare. With technological advancements being critical factors in defining a future medical practice, these three technologies make statements as pacesetters for better patient care record keeping and treatment procedures. The chapter starts with a discussion on singularities provided by IoT, blockchain and QML in the healthcare industry to increase patients’ engagements in the safety of their medical information records as well optimize data-driven decision-making processes. It then analyzes the synergistic capability of these technologies when merged and proposes a new approach in health care which gives improved efficiency and unmatched security with personalized medicine breakthroughs. The discussion is also about practical cases as well as hypothetical situations, revealing the possibilities achieved with usage of IoT or QML blockchain for treating chronic problems in healthcare including drug monitoring, remote consumer satisfaction and predictive analytics to disease management. The chapter also considers the ethical, regulatory and technical challenges that have been reported as a result of implementing these technologies to generate a more objective look at their feasibility in operation.