The rapid evolution of smart technologies and communication
protocols has ushered in a transformative era for the Internet of Things (IoT),
particularly within the healthcare sector. This chapter provides a
comprehensive review of the key applications, enabling technologies, and
emerging trends in IoT-driven healthcare systems. It outlines a standard model
for integrating IoT into medical infrastructures, focusing on sensor-based
monitoring, data acquisition, and predictive analytics using machine learning.
The discussion explores the impact of IoT on clinical workflows, remote health
tracking, chronic disease management, and patient engagement. Special emphasis
is placed on network architectures, data transmission standards, and the role
of Health Information Technology (HIT) in enhancing interoperability and system
efficiency. By synthesising current literature and incorporating recent
advancements, this chapter highlights both the opportunities and challenges in
building scalable, secure, and intelligent healthcare ecosystems. It also
presents new figures and use cases that demonstrate real-world deployments of
IoT in medical settings, supporting the argument for broader adoption of
IoT-enabled healthcare solutions.
Author(s) Details
Ragni Kumari
Department of Optometry, Uttar Pradesh University of Medical Sciences
(UPUMS), Saifai, Etawah-206130, India.
Jagdish Singh
Department of Optometry, Uttar Pradesh University of Medical Sciences
(UPUMS), Saifai, Etawah-206130, India.
Mayank Pal Singh
Department of Radiological and Imaging Technology, Uttar Pradesh University
of Medical Sciences (UPUMS), Saifai, Etawah-206130, India.
Mayank Kumar
Department of Physiotherapy, Uttar Pradesh University of Medical Sciences
(UPUMS), Saifai, Etawah-206130, India.
Please see the book here :- https://doi.org/10.9734/bpi/erpra/v10/6039
