The area for communication and networking, as well as the area for the
body, and the Service Delivery Area, are the three key components that make up Smart
Healthcare. In addition to enhancing the quality of medical care delivered by remote
monitoring, this technology has the potential to cut the cost of a variety of medical
equipment while simultaneously boosting their operational efficacy. Connecting the
Internet of Things with Big Data and cloud computing has the potential to deliver
answers to a variety of urgent problems that occur in real time when these technologies
are used in conjunction with intelligent apps for healthcare. Cloud computing offers a
collaborative environment for working with the Internet of Things (IoT) and big data as
a result of its many applications. Big data is in charge of the data analytics technology,
while the Internet of Things is in charge of the data source. Both of these facets are
managed by the Internet of Things. An overview of healthcare analytics in an
environment made possible by the Internet of Things is presented in this chapter.
Topics covered include the advantages, applications, and issues associated with this
field. The applicability of the framework is evaluated by real-time analysis of data
provided by patients for automated management of the patient’s blood sugar levels,
body temperature, and blood pressure. Improvements have been made to the patient's
health monitoring conditions as a direct consequence of the integration of the system.
The technology notifies doctors and other medical professionals in real time about any
changes that may have occurred in their health status to provide recommendations on
preventative care. The efficiency of these kinds of systems is determined by the use of
a wide range of technological approaches. In this study, we take a methodical look at
the factors that led to the development of modern healthcare, including its origins, its
methods, and its effects. An explanation of the chronological order of the procedures is
provided. In the article, each stage of development is broken down and analyzed in
terms of its social relevance, scientific and technical significance, communications
significance, and application of information technology significance. A particular
emphasis was placed on the technical component of the system, in particular, the
application of network technologies and services, as well as the introduction of emerging technology that consists of numerous factors, and assists us in the process of
monitoring a person’s status by providing us with useful information. Because of the
widespread spread of COVID-19, health problems have emerged as a primary source of
worry. A healthy population is required for the existence of a harmonious society. The
foundation for a healthy society will be laid by forward-thinking healthcare in forwardthinking cities. Technology improvements in sensors and communication devices have
resulted in the development of effective solutions in a variety of networking industries,
public and private corporations, and government agencies throughout the world. In
addition, the worldwide reach and efficiency of smart devices and mobile technologies
have expanded thanks to the expansion of their use in the healthcare sector. Patient
monitoring systems located at the bedside as well as patient monitoring systems located
remotely are the two primary subtypes of patient monitoring systems that may be
distinguished from one another. It is becoming more common for healthcare
professionals to make use of such technology in clinical as well as non-clinical
contexts. As a consequence, major advancements have been made in the field of
healthcare. In a similar vein, untold numbers of normal operators benefit from MHealth (Mobile Health) and E-Health, both of which use information and
communication technology to sustain and improve. Through the use of an ontologybased survey, the researchers expect to be able to follow the participants’ health over
time and make suggestions for routine workouts. This project’s primary emphasis is
placed on the creation of the findings of the MAX30100 sensor, the MLX sensor, and
the digital BP sensor after they have been combined into a single kit, as well as on the
integration of these three sensors into the kit. The results of the temperature, blood
pressure, SpO2 , and heart rate monitoring are concurrently shown on the LCD and in
the mobile app as normal or abnormal readings. The device is also capable of
displaying a person’s overall health status. The comparison of all four threshold values
brings in this result, which may either be normal or abnormal depending on the
circumstances.
Keywords: IoT healthcare, M-health, Mobile technology, Smart healthcare system, Smart device.
