A Novel Edge-Computing-Based Framework for an Intelligent Smart Healthcare System in Smart Cities

Abstract

The wide use of internet-enabled devices has not left the healthcare sector untouched. The health status of each individual is being monitored irrespective of his/her medical conditions. The advent of such medical devices is beneficial not only for patients but also for physicians, hospitals, and insurance companies. It makes healthcare fast, reliable, and hassle-free. People can keep an eye on their blood pressure, pulse rate, etc., and thus take preventive measures on their own. In hospitals, too, the Internet of Things (IoT) is being deployed for various tasks such as monitoring oxygen and blood sugar levels, electrocardiograms (ECGs), etc. The IoT in healthcare also reduces the cost of various ailments through fast and rigorous data analysis. The prediction of diseases through machine-learning techniques based on symptoms has become a promising concept. There may also be a situation where real-time analysis is required. In such a latency-sensitive situation, fog computing plays a vital role. Establishing communication every time with the cloud is not required with the introduction of fog and thus the latency is reduced. Healthcare is a latency-sensitive application area. So, the deployment of fog computing in this area is of vital importance. Our work focuses on improving the efficiency of the system for the precise diagnosis of and recommendations for heart disease. It evaluates the system using a machine-learning module.

FedHealthFog: A federated learning-enabled approach towards healthcare analytics over fog computing platform

“…Following [ [32] , [33] , [34] ], we assume that the task arrivals to a certain fog node within set follow a Poisson process, which is represented by the parameter , which is the sum of all client processes with the fog node in the federated framework and can be given as Eq. (10) below: Furthermore, we model every fog node in set using an M/M/1 queuing model, and the resulting queuing delay, , is calculated as Eq.…”

Digitization Processes in Slovak Healthcare Sector – The Issue of Slovak Doctors and Nurses

“…Maintaining or restoring health is a major task of the health care system, which is carried out under monetary constraints and increasing staff shortages (Diebel-Fischer 2022). In today's world of wireless communication networks, Fog Computing and Internet of Things (IoT) are important technologies for smart healthcare applications and for the development of safety networks (Tripathy, et al 2022). The interaction of EHRs between different process components, the value added created complemented by CPS, furthermore the interaction of humans with electronic devices monitoring biophysical functions and new business frameworks in healthcare are bringing the concept of Industry 4.0 into healthcare referred to as Health 4.0 (Tupá, Masárová, Karbach 2020).…”

“…However, in all of this, confidentiality, security, and quick responses are taken into consideration when exchanging sensitive medical data (Ksibi, et al 2023). Traditional healthcare institutions have recognized the need to innovate their workflow, yet there is a great deal of uncertainty about digitization (Tripathy, et al 2022).…”

Hospital distribution in Polish provinces as a factor of smart living

“…The overarching objective of smart cities is to enrich the well-being of their inhabitants, and hospitals stand as an indispensable pillar in achieving this objective. The impact of hospitals on the quality of life in smart cities is multifaceted, encompassing aspects such as improved healthcare access, the fostering of innovation, and bolstering sustainability efforts (Turhan et al, 2019;Tripathy et al, 2023;.…”