Revolutionizing Healthcare Systems Through Cloud Computing and IoT

Revolutionizing Healthcare Systems Through Cloud Computing and IoT

Pages: 300
DOI: 10.4018/979-8-3693-7225-8
ISBN13: 9798369372258|ISBN13 Softcover: 9798369372265|EISBN13: 9798369372272
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Description & Coverage
Description:

Description:

The healthcare industry has reached its full capacity due to the outbreak of the coronavirus. Its global influence has brought attention to the utmost capabilities and limitations of healthcare facilities worldwide. The Internet of Things (IoT) and cloud services can effectively handle the immense healthcare demands that have never been seen before. The scarcity of healthcare personnel and limited resources necessitate the adoption of emerging technology to bolster healthcare delivery. IoT and cloud computing present ample promise in situations like this, as they may be utilised for monitoring, diagnostics, support, and intelligent decision-making. The healthcare system, already under significant strain, was pushed to the brink of collapse by the impact of COVID-19. Not only in developing nations, but even in the most technologically advanced countries, the healthcare system was insufficient to handle such large-scale health crises. Amidst the ongoing health crisis, healthcare institutions are facing significant strain, with primary healthcare personnel being particularly susceptible and a shortage of medical equipment. The present conditions require immediate effort to transform the conventional healthcare infrastructure into a stronger, technologically sophisticated, and self-sufficient healthcare system.

The Internet of Things (IoT) is an emerging solution that offers the necessary communication infrastructure required in any technology-driven healthcare system. The Internet of Things (IoT) has widespread applications in different industries, but its significance in healthcare systems is undeniable. The Internet of Things (IoT) establishes a foundational communication infrastructure that facilitates communication across many entities, including sensors that gather patients' vital signs, healthcare equipment, hospitals, care centres, recovery wards, nursing homes, and smart homes. The IoT's capacity to transmit essential information with minimal delay can provide lasting solutions in the healthcare sector, benefiting both patients and medical personnel.

The efficient advancement of intelligent healthcare solutions, which necessitate the use of Internet of Things (IoT), also necessitate the use of cloud computing infrastructure for the purpose of managing and analysing the unprocessed data obtained from the IoT-enabled sensors. Cloud computing plays a crucial role in the implementation of intelligent healthcare solutions. Similar to IoT, cloud computing is crucial for AI-powered healthcare solutions such as remote diagnosis and monitoring, intelligent patient profiling, decision support systems, smart hospital formation, load management and redistribution of patients among hospitals, elderly care and support, patient records maintenance, and vulnerability prevention measures. Cloud computing offers both storage for the large amount of data created by IoT devices and processing capabilities that enable the use of intricate conventional and deep learning techniques.

This book explores the concepts of cloud computing-based healthcare systems, IoT-based healthcare systems, and cloud-IoT based healthcare systems. It delves into the significance and benefits of cloud-IoT based healthcare systems. Challenges occur from the integration of the Cloud-IoT Health Paradigm, as well as from open challenges and emerging trends in Cloud-IoT health systems. Case studies involve the incorporation of cloud computing (CC) and Internet of Things (IoT) to address diverse challenges in healthcare applications, such as smart hospitals, medication management, and remote medical services.

Impact :

The combination of IoT and cloud technology enables the processing of intricate data to create a patient-focused IoT eHealth system, as opposed to a clinic-focused approach to therapy. Several research studies have utilised the combination of IoT and cloud computing to create applications centred around big data and AI. Cloud Computing (CC) and the Internet of Things (IoT) have become prominent platforms in the Information and Communication Technology (ICT) revolution of the 21st century. Implementing the Cloud-IoT paradigm in the healthcare sector has the potential to offer numerous advantages to medical IT. Experts are confident that it may greatly enhance healthcare services and contribute to ongoing and organised innovation in the field.

Audience :

PG Students, Research Scholars, Academic and Industry People, Healthcare Professional and Business persons

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Editor/Author Biographies

Dr. Balasubramaniam S has completed Post Doctoral Research in Department of Applied Data Science, Noroff University College, Kristiansand, Norway and He has a totally around 15 years of experience in teaching, research and industry. Currently he is working as an Assistant Professor in School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, Kerala, India. He holds a Ph.D degree in Computer Science and Engineering from Anna University, Chennai, India. He has published nearly 20+ research papers in reputed SCI/WoS/Scopus indexed Journals. He has also granted with 1 Australian patent and 1 Indian Patent and published 3 Indian patents. He has presented papers at conferences, contributed chapters to the edited books and editor in few books published by international publishers. His research and publication interests include machine learning and deep learning-based disease diagnosis, cloud computing security, Generative AI and Electric Vehicles.

Orcid Id : https://orcid.org/my-orcid?orcid=0000-0003-1371-3088

LinkedIn : https://www.linkedin.com/in/dr-balasubramaniam-s-6873533b/

Google Scholar: https://scholar.google.co.in/citations?user=1KGLST0AAAAJ&hl=en

Academic url : https://duk.ac.in/personnel/balasubramaniam-s/

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2) Prof. Seifedine Kadry has a bachelor’s degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University (France). At present his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. he is a full professor of data science at Noroff University College, Norway.

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