IoMT Implementation

Abstract

Technologies like electronic health records, artificial intelligence (AI), augmented reality, and Internet of Things (IoT) are capable of transformation in the medical sector. By healthcare organizations embracing IoT, better patient health outcomes can be achieved. IoT-based smart healthcare systems, also known as Internet of Medical Things (IoMT), enable real-time monitoring of patients, leading to improved diagnosis and quality of life. Cost-effectiveness and timely care of patients are few benefits of IoMT. Robotic surgery, telemedicine, and remote monitoring of patients can become possible through the smart healthcare system. Smart healthcare systems have potential to resolve several difficulties using real-time monitoring, robotics, smart wearable sensors, and fully automated monitoring systems. With IoMT implementation in the healthcare domain, patients can control and manage their medical record in a better way. This technology has the potential to ensure better health facilities for everyone. IoMT architecture and its components are discussed in this chapter. Our studies are focused on various applications, benefits, and challenges of the IoMT system during implementation. AI‑based techniques help the doctor monitor a patient’s information remotely on the basis of learning from the data generated by the device. But traditional machine learning algorithms, different sensors, and wearable devices generate privacy and security issues when the data are to be transferred between a central server and end-user devices. Data should be highly confidential while being transferred by different IoMT devices. In this chapter, we also presented the role of federated learning in IoMT systems which provide security to end users.