Abstract
This study provides an investigative approach and offers a complete review of research on Internet of Medical Things (IoMT), describing the progress in general and highlighting the research issues, trends, and future aspects of IoMT. Exploring a research strategy for IoMT systems is vital as the need for IoT in healthcare grows. By aggregating and merging data on critically important signals in hospitals, switching objects allows for better regulation of patients' physical states. The study proposes a novel approach, that is, Personal HealthCare of Things (PHoT), the idea is to bring personalisation in healthcare systems to target the individual issues and help to provide customised health services to potential patients. As a result, multiple studies were chosen, classified, and compared to evaluate the necessity for enhancing PHoT systems and introduce genuine concerns and future trends. This study provides a comprehensive overview of recent studies in IoMT that focus on applied methodologies, methods, and tools. In a nutshell, this study describes, systematically identifies, and taxonomically categorises IoMT research to provide an extensive comparison with the current publications' limits and potential. The study discusses the proposed PHoT architecture and aims to answer multiple investigations.