Authors:
Sreekanth Yalavarthi, Hanene Boussi Rahmouni
Addresses:
1Department of Information Technology, HCL America, Buffalo Grove, Illinois, United States of America. 2Department of Informatics and Biomedical Engineering, Higher Institute of Medical Technologies, University of Tunis El Manar, Farhat Hached, Rommana, Tunisia. sreekanthy@hcl.com1, hanene.boussi@istmt.utm.tn2
This article explores the rapidly growing field of pervasive computing in the healthcare industry, focusing on the revolutionary potential of this technology as well as the developing obstacles that it presents. In the healthcare industry, pervasive computing, which is distinguished by its pervasive nature, integrates smoothly into the environment, giving unique solutions for patient monitoring, illness management, and healthcare delivery. We take a look at the most recent developments in wearable technology, Internet of Things (IoT) enabled devices, and artificial intelligence (AI) driven analytics, all of which contribute to improved patient outcomes and operational efficiency. In addition, we investigate the obstacles that need to be overcome in order to fully exploit the potential of pervasive computing in the healthcare industry. These obstacles include data security, ethical considerations, and the acceptability of technology. An exhaustive literature review, methodical analysis, and empirical data are utilised in this research project in order to provide insights into the current state of pervasive computing in the healthcare industry as well as the future trajectory of this field.
Keywords: Pervasive Computing; Healthcare Technology; Wearable Devices; IoT in Healthcare; Artificial Intelligence (AI) Analytics in Medicine; Integrated Pervasive Healthcare; Computing Framework; Security of Data; Cloud Services; Ensuring Patient-Focused Care and Decision Support.
Received on: 30/01/2023, Revised on: 15/04/2023, Accepted on: 22/07/2023, Published on: 03/12/2023
FMDB Transactions on Sustainable Health Science Letters, 2023 Vol. 1 No. 3, Pages: 155-163