Abstract
Numerous technologies could minimize total expenses for preventing or managing chronic diseases, involving gadgets, which continually track health parameters, auto-administer medications, or timely record patient’s medical data. For the higher accessibility to smartphones and fast Internet, patients use mobile applications to handle several medical demands. Such applications and gadgets are greatly adopted and incorporated with e-health and telemedicine through the Internet of Things (IoT). IoT is crucial for the electronic shift in medicine since it provides novel business models to empower and evolve transformations in practice procedures, controlling the budget, enhancing performance, and improving patient satisfaction. However, enabling the use of innovative IoT techniques in personalized health remains substantially difficult for several matters, such as non-coherent IoT program structures, diversity among linked wearable devices, lack of precise and cost-effective smart medical sensors, the complexity of the produced data and raised a need for interoperability. This chapter examines the basis of IoT in the health system, highlighting applying IoT technologies for the newly evolving personalized health. It discusses the latest and sophisticated IoT-derived techniques and popular examples of health. It highlights the technical, ethical, and financial constraints in developing a better medical system that can early discover and diagnose illnesses. Eventually, in the healthcare field, IoT is revolutionizing the creation of effective healthcare delivery, creating a platform for communication between different health segments, providing digital support at every turn, and facilitating the rapid transformation of modern medicine to the demands of time.
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Rayan, R.A., Tsagkaris, C., Iryna, R.B. (2021). The Internet of Things for Healthcare: Applications, Selected Cases and Challenges. In: Marques, G., Bhoi, A.K., Albuquerque, V.H.C.d., K.S., H. (eds) IoT in Healthcare and Ambient Assisted Living. Studies in Computational Intelligence, vol 933. Springer, Singapore. https://doi.org/10.1007/978-981-15-9897-5_1
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