Page 182 - Big Data Analytics for Intelligent Healthcare Management

CHAPTER

SMART HEALTHCARE: AN

APPROACH FOR UBIQUITOUS 7

HEALTHCARE MANAGEMENT

USING IOT

Subasish Mohapatra, Suchismita Mohanty, Subhadarshini Mohanty
Department of Computer Science and Engineering, College of Engineering and Technology, Bhubaneswar, India

7.1 INTRODUCTION
Technology has become an essential part of everyone’s life, and some of us can’t survive without
using it. Technology has important effects on business operations. It has tangible benefits as well
as intangible benefits. It can increase the efficiency of a product or a process. The culture, efficiency,
and relationships of business are going to be affected by the acceptance of the emerging technologies.
The IoT is only another form of the web because of the progression in sensor systems, cell phones,
remote interchanges, systems administration, and cloud advancements [1]. It is a dynamic global net-
work infrastructure of physical and virtual objects having unique identities that are embedded with
software, sensors, actuators, and electronic and network connectivity to facilitate intelligent applica-
tions by collecting and exchanging data.
Nowadays, medical issues are expanding at a fast pace. There are 55.3 million individuals dying
every year, which equates to 151,600 individuals every day or 6316 individuals every hour is a major
issue throughout the world. Consequently, it is the need of the hour to defeat such issues. Along these
lines, an adjustment in remote sensors innovation is required. The framework must incorporate diverse
remote sensors to measure human body temperature, circulatory strain, saline level, heart rate, and so
forth. This data will be transmitted on an IoT stage, which is available to the client through the web [2].
In today’s era, the world is heading toward a ubiquitous network society, one in which networks and
network devices are omnipresent. This is made possible because of emerging technologies, such as the
IoT and others. In this fast-moving and competitive world, people, knowingly or unknowingly, are ig-
noring their health. As a result, they are incapable of detecting health issues earlier, which lessens the
chances of successful treatment [3]. Care of a critically ill patient requires spontaneous and accurate
decisions so that life protecting and life-saving therapy can be applied. This can only be possible if the
vital health parameters of a human body can be monitored continuously and analyzed at any place, at
any time. Based on this data, proper health assistance can be immediately provided by the doctor. It
promises an increase in accuracy, efficiency, and availability of medical treatments as people can

175
Big Data Analytics for Intelligent Healthcare Management. https://doi.org/10.1016/B978-0-12-818146-1.00007-6
# 2019 Elsevier Inc. All rights reserved.