The Internet of Medical Things (IoMT) and cloud computing are transforming healthcare by enhancing patient care, optimising operations, and enabling innovative solutions. This paper presents detailed use cases and multi-layered architectures—comprising sensing, cloud, and application layers—demonstrating how IoMT and AWS cloud services can be effectively integrated for remote monitoring, telehealth, diagnostics, and asset tracking. Through a comparative analysis of leading cloud providers, AWS was selected for its cost efficiency, scalability, and extensive global infrastructure. The findings highlight that AWS-based architectures offer practical, scalable, and secure solutions for diverse healthcare scenarios, supporting real-time analytics and data-driven decision-making. The study concludes that leveraging IoMT with AWS cloud services provides a robust foundation for future advancements in predictive analytics and AI-driven healthcare, while also identifying opportunities for further research towards building smarter, more responsive, and patient-centric healthcare systems.