ABSTRACT
The Internet of Medical Things (IoMT) in the healthcare domain provides a perfect roadmap to utilize medical resources. As the global population increases daily, it is difficult to reach every person and provide medical services. In this situation, the IoMT plays a significant role by making use of things that are always lying around the patient to collect real-time data, i.e., wheelchair, oxygen pump, smart watch, and smartphone. These devices can be equipped with sensors to make smart and intelligent devices that can generate data as per situation. With all these devices connected using communication protocols and by enabling the internet using a smartphone, patient data can be centralized. Here, data can be images or reports. Centralized data help medical professionals to track, monitor, and provide superlative care to their patient. Images taken by smart devices or stored in a central database can be processed and used by medical professionals. Image processing helps professionals to analyse the patient’s situation and gives prescriptive analysis. These data can be used by other non-governmental organizations or institutes for monitoring civil crimes, etc. In the era of healthcare 4.0 and the pandemic, the situation has arisen where tracking and monitoring should be processed without physically examining the patient unless the worst condition arises.This chapter basically focuses on application areas of IoMT devices, their limitations and benefits, and how different devices can be used for medical care, and also discusses standardized presentation of data. All devices use different ways of data presentation, so it is difficult to process data. Using standardized interface, data can be converted into a normalized form. This also covers layer architecture of data storage and communication. Layer architecture gives remote data access and quick reports to medical professionals and also gives a detailed history of the patient using a centralized database. A healthy workforce is an asset to any country. IoMT could reduce cases by approximately 50%, which saves medical resources, and can be used by low-income people.
