Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems

1st Edition - November 16, 2024
Imprint: Academic Press
Editors: D. Jude Hemanth, P Mary Jeyanthi
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 2 4 0 4 9 - 2
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 2 4 0 4 8 - 5

Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems explores the potential benefits and applications of emerging technologies such as metaverse and AoT in the fi… Read more

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Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems explores the potential benefits and applications of emerging technologies such as metaverse and AoT in the field of healthcare. The book provides insights into how these technologies can be leveraged to improve the efficiency, effectiveness, and quality of medical systems. It explores the concept of metaverse and its potential applications in healthcare, including the use of virtual and augmented reality technologies for medical education, training, and simulation, as well as the development of immersive environments for patient care and therapy.

The book also delves into the field of AoT, such as the use of wearable devices, smart sensors, and other connected technologies. Applications to monitor patient health, track medical outcomes, and inform clinical decision-making are covered. Integrating both technologies can help improve medical training, diagnosis, treatment, and patient outcomes through the use of virtual reality and real-time data analytics.

Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems
Cover image
Title page
Table of Contents
Copyright
Contributors
Preface
Chapter 1 Revolutionizing healthcare: Unleashing the power of digital health
Abstract
Keywords
1 Introduction: Background and driving forces
2 Research aim and objectives
3 Review of literature
4 Healthcare in India
5 Challenges in healthcare in Indian scenario
6 The future direction
7 Defining digital health
8 The need for transformation in healthcare
9 Telemedicine and remote patient monitoring
10 Mobile health (mHealth) applications
10.1 Wearable devices and sensor technologies
10.2 Artificial intelligence and machine learning
10.3 Data analytics and health information exchange
10.4 Emerging technologies
10.5 Enhanced access to healthcare services
10.6 Successful digital health initiatives and their potential to revolutionize India’s healthcare system
10.7 Digital health initiatives have significantly benefited rural areas and tribal areas in India
11 Conclusion
References
Chapter 2 Integration of metaverse and AoT into the healthcare system
Abstract
Keywords
1 Introduction to the metaverse
2 Potential applications
3 Industrial metaverse
4 Metaverse in education
5 Metaverse in healthcare system
6 Challenges, limitations, and future
7 Analytics of Things (AoT)
8 Potential applications
9 Smart homes
10 Challenges, limitations, and future
11 AoT in healthcare
12 The benefits of integrating the metaverse and AoT into healthcare
13 Challenges and limitations of integrating the metaverse and AoT into healthcare
14 Privacy concerns
15 Use cases for the integration of the metaverse and AoT into healthcare
16 Potential applications of the metaverse and AoT in healthcare
17 Remote patient monitoring
18 Virtual surgeries
19 The future of the integration of the metaverse and AoT into healthcare
20 The ethical implications of the metaverse and AoT in healthcare
21 The governance of the metaverse and AoT in healthcare
22 The economics of the metaverse and AoT in healthcare
23 Conclusion
References
Chapter 3 Data-driven healthcare: Leveraging AoT and metaverse for better diagnosis
Abstract
Keywords
1 Introduction
1.1 Healthcare
1.2 Metaverse
1.3 Metaverse component
1.4 Healthcare components
1.5 Healthcare: Challenges and opportunities
2 Literature review
3 Analytics of Things (AoT) for healthcare system
4 Conflicts of interest
5 Data collection and integration for healthcare insights
5.1 Data sources in healthcare: Electronic health records, wearable devices, IoT sensors
5.2 Data integration strategies for AoT and metaverse technologies
5.3 Data quality and preprocessing challenges
6 Case studies: Successful implementation of AoT and metaverse in healthcare
6.1 Virtual clinics and telemedicine enhancement
6.2 Augmented reality-assisted surgeries
6.3 Personalized treatment plans with metaverse visualization
6.4 Remote patient monitoring and real-time analytics
7 Future scope
8 Conclusion
References
Chapter 4 Navigating ethical horizon: A dive into metaverse and analytics of things in healthcare system
Abstract
Keywords
1 Introduction
2 Overview of the Metaverse and IoT in healthcare
2.1 Definition and potential of the Metaverse in medical improvements
2.2 Internet of Things as a data-driven approach to healthcare
2.3 Ethical foundations and moral responsibility in virtual patient care
2.4 Societal consequences of merging Metaverse and IoT
2.5 Metaverse, ethics, AI, and machine learning
3 Integration of AI and machine learning in the Metaverse for medical purposes
3.1 Simulation and training
3.2 Personalized care plans
3.3 Virtual therapies
3.4 Remote monitoring and consultations
4 Tools for assisting doctors in decision-making
4.1 Predictive analytics
4.2 Diagnostic support
4.3 Treatment optimization
4.4 Resource allocation
5 Importance of empathy and inclusion in virtual healthcare
5.1 Empathy in design
5.2 Accessibility and inclusion
5.3 Ethical considerations
6 Human touch in virtual medical systems
6.1 Human oversight
6.2 Emotional intelligence
6.3 Holistic care
7 Hybrid healthcare services and digital twins
7.1 The role of genuine medical systems in the virtual world
8 Ethical integration of hybrid healthcare services
8.1 Confidentiality
8.2 Informed consent
8.3 Quality assurance
8.4 Equity
9 Digital twins and customized treatment
9.1 Personalized diagnostics
9.2 Tailored therapies
9.3 Predictive insights
10 Discussion, assessing the pros and cons
10.1 Pros
10.2 Cons
11 Policy implications
12 Conclusion
References
Chapter 5 A review of metaverse applications and challenges in healthcare
Abstract
Keywords
1 Introduction
1.1 Change in healthcare industry—Emergence of metaverse
2 Literature review
3 Background study
3.1 Metaverse technologies in healthcare industry
3.2 Applications of metaverse in healthcare
3.3 Blockchain technology in metaverse
4 Challenges and benefits of metaverse applications
5 Conclusion
References
Chapter 6 Blockchain-powered healthcare in the metaverse: Advancing security, interoperability, and patient empowerment
Abstract
Keywords
1 Introduction
2 Blockchain
2.1 Fundamental principles and characteristics of blockchain
2.2 Blockchain in healthcare
2.3 Pilot implementation: MedRec project
3 Metaverse
3.1 Key technologies behind metaverse
4 Metaverse complements the attributes of blockchain technology
5 Healthcare data exchange
6 Blockchain technology empowers patients record
7 Case study: Implementation of blockchain-powered healthcare in the metaverse
7.1 Implementation steps
8 Conclusion
References
Chapter 7 Surgery of the future: Harnessing the power of virtual reality and augmented reality
Abstract
Keywords
1 Introduction
2 Enhancing surgical visualization and planning
2.1 Practical examples for enhancing surgical visualization and planning with VR and AR
3 Improved training and surgical skill development
3.1 Practical examples for improved training and surgical skill development with VR and AR
4 Minimally invasive surgery and remote assistance
4.1 Practical examples for minimally invasive surgery and remote assistance with VR and AR
5 Enhancing patient–physician communication and education
6 Challenges and future directions
7 Conclusion
References
Chapter 8 MetaHealth: Metaverse and its impact on diabetes
Abstract
Keywords
1 Education and awareness
1.1 Advantages of metaverse in education and awareness
2 Remote monitoring and telemedicine
2.1 Virtual support groups
3 Gamification of treatment
4 Personalized treatment and AI assistance
5 Virtual reality (VR) training for healthcare providers
6 Analytics of things (AoT)
References
Chapter 9 Metaverse technology acceptance in Indian medical education: An SEM-based empirical investigation
Abstract
Keywords
1 Introduction
2 Literature review and theoretical background
2.1 TAM model
2.2 Existing research and knowledge gap
2.3 Hypotheses development
3 Research methodology
3.1 Measures
4 Results
4.1 Reliability
4.2 Convergent validity
4.3 Discriminant validity
4.4 SEM analysis
5 Discussion
5.1 Theoretical contributions
5.2 Practical implications
5.3 Limitations and further directions
6 Conclusion
References
Chapter 10 Privacy and security in the metaverse
Abstract
Keywords
1 Introduction
2 Privacy and security landscape in the metaverse
2.1 Privacy concerns (Fig. 1)
2.2 Security concerns (Fig. 2)
3 Risks and threats to patient data
3.1 Identity theft and fraud in the metaverse
4 Ethical implications of virtual healthcare
4.1 Realism vs. misleading experiences in the metaverse
4.2 Balancing innovation and medical integrity
4.3 Patient autonomy and informed decision-making
5 Safeguarding patient data in virtual environments
5.1 Multilayered security measures for virtual healthcare
5.2 Secure access controls and authentication mechanisms
6 Strengthening privacy measures
7 Security audits and risk management
7.1 Regular security assessments for virtual healthcare systems
7.2 Proactive risk mitigation strategies
8 Conclusion
References
Chapter 11 Revolutionizing healthcare and medical education using augmented reality, virtual reality, and extended reality
Abstract
Keywords
1 Introduction
2 Literature review
2.1 Digital health literacy in person-centric era: Overview
2.2 Revolutionizing healthcare with metaverse
2.3 Medical education, training, and upskilling of healthcare professionals and medical students
2.4 VR, XR, and AI in surgery
2.5 Minimally Invasive Spine Therapy (MIST) for rehabilitation
2.6 VR-AR in critical care
2.7 AR-VR in basic and advance life support certification
2.8 Combat the epidemic of infectious diseases using AI
2.9 Postpandemic scenario in telemedicine
2.10 AR, VR, and XR to assist with general surgery and trauma cases
2.11 Telesimulation
2.12 Global health disparities: A new approach using AI, VR, and XR
2.13 Tech-enabled global health and medical industry
3 Consensus of researchers, clinicians, and patients: Trust game?
4 Discussions
5 Conclusion
References
Chapter 12 Conclusion and key takeaways
Abstract
Keywords
Index

D. Jude Hemanth

Dr. D. Jude Hemanth is currently working as a professor in Department of ECE, Karunya University, Coimbatore, India. He also holds the position of “Visiting Professor” in Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. He also serves as the “Research Scientist” of Computational Intelligence and Information Systems (CI2S) Lab, Argentina; LAPISCO research lab, Brazil; RIADI Lab, Tunisia; Research Centre for Applied Intelligence, University of Craiova, Romania and e-health and telemedicine group, University of Valladolid, Spain. Dr. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET. His research areas include Computational Intelligence and Image processing. He has authored more than 200 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences.

Affiliations and expertise

Professor, ECE Department, Karunya Institute of Technology and Sciences, Coimbatore, India

P Mary Jeyanthi

Dr. P. Mary Jeyanthi is an Associate Professor of Jaipuria Institute of Management, Jaipur, India. She had one decade of industry experience in HDFC Bank Ltd, Business Intelligence Unit, Chennai, Tamil Nadu. She had a hand full of expertise in Business Intelligence and forecasting analytics. She had done her research in “A New Implementation of Mathematical Models with metaheuristic Algorithms for Business Intelligence”. Business Intelligence & Analytics initiatives on High Net Worth (HNW) Portfolio and She will be responsible for the creation and execution of strategies. She is also a visiting faculty of IMT Ghaziabad, Woxsen University, Hyderabad. Besides that, she had published a number of research papers in various national and international reputed journals. Conducted several workshops on Research Methodology and Business Intelligence. She is the Resource Person for many colleges regarding soft skill training and workshops related to research paper writing. She has contributed many articles in magazines related the Building up the Human Capital and Data Analytics. She is an expert in the novelty approach of writing and managing the analytics in health care sectors. Her research interest in Business Intelligence and Analytics, Artificial Intelligence, Big data analytics, Management Information Systems, Data Analysis, Metaverse and Business models.

Affiliations and expertise

Associate Professor, Jaipuria Institute of Management , Rajasthan, India

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