Intelligent Cyber-Physical Systems for Sustainable Healthcare
- 1st Edition - June 1, 2026
- Latest edition
- Editors: Vandana Bajaj, Savita Wadhawan, Arvind Sharma, Monika Sharma, Ashish Khanna, Lynn Robert Carter
- Language: English
Intelligent Cyber-Physical Systems for Sustainable Healthcare addresses the integration of emerging technologies like Virtual Reality, Smart Robotics, and Human-Computer Intera… Read more
Intelligent Cyber-Physical Systems for Sustainable Healthcare addresses the integration of emerging technologies like Virtual Reality, Smart Robotics, and Human-Computer Interaction, which are crucial for maximizing digital health's potential. The book includes case studies that highlight challenges faced by medical practitioners and industry professionals, providing valuable insights for designing sustainable iCPS solutions. Aimed at biomedical engineers, researchers, and industry professionals, it offers guidance for developing practical applications in sustainable healthcare. Additionally, shared, cross-disciplinary experiences assist engineers with less clinical expertise in enhancing healthcare applications in the intelligent digital health sector.
Overall, case studies illustrate past challenges in the healthcare industry and present effective solutions to overcome them, making the book a comprehensive resource for advancing sustainable healthcare practices.
Overall, case studies illustrate past challenges in the healthcare industry and present effective solutions to overcome them, making the book a comprehensive resource for advancing sustainable healthcare practices.
- Focuses on the adoption of Intelligent Cyber-Physical Systems (iCPS) in Healthcare 4.0, emphasizing the integration of technologies such as Artificial Intelligence, Machine Learning, and the Internet of Things
- Includes case studies to illustrate the challenges faced by practitioners and industry professionals, offering valuable lessons for the design and development of sustainable iCPS
- Explores how AI-driven iCPS, in conjunction with cloud resources, can analyze large volumes of healthcare data
Researchers, academics, and students in the fields of Biomedical Engineering, Computer Science, Information Technology, and Medical Sciences
1. Overview of Cyber-Physical Systems in Healthcare
2. Artificial Intelligence and Machine Learning in CPS for Healthcare
3. Internet of Things (IoT) and Wearable Technology in Healthcare
4. Intelligent Decision Support Systems for Healthcare 4.0
5. Blockchain Technology for Secure and Personalized Healthcare Systems
6. Telemedicine and Remote Healthcare Solutions
7. Cyber-Physical Systems for Smart Hospital Systems
8. Smart and Sustainable Healthcare Systems
9. Technical and Operational Challenges in CPS Implementation
10. Data Analytics for Predictive Healthcare
11. Energy-Efficient and Green Healthcare Systems
12. Robotics and Automation in Diagnostics and Treatment Processes
13. Emerging Technologies and Innovations for Intelligent Healthcare
14. The Future of Healthcare 4.0: Trends and Innovations
15. Artificial Intelligence in Sustainable Telemedicine
16. Real-Time Intelligent Telehealth Workspace in Patient Monitoring
17. Intelligent and Sustainable Healthcare Applications in Telemedicine
18. Enhancing Documentation and Communication in Telemedicine with Natural Language Processing
19. AI’s challenges and ethical considerations in sustainable Telemedicine
20. Healthcare 5.0: Transforming Telemedicine Workflows through Innovation
21. The Role of AI in Chronic Disease Management through Telemedicine and Future direction
2. Artificial Intelligence and Machine Learning in CPS for Healthcare
3. Internet of Things (IoT) and Wearable Technology in Healthcare
4. Intelligent Decision Support Systems for Healthcare 4.0
5. Blockchain Technology for Secure and Personalized Healthcare Systems
6. Telemedicine and Remote Healthcare Solutions
7. Cyber-Physical Systems for Smart Hospital Systems
8. Smart and Sustainable Healthcare Systems
9. Technical and Operational Challenges in CPS Implementation
10. Data Analytics for Predictive Healthcare
11. Energy-Efficient and Green Healthcare Systems
12. Robotics and Automation in Diagnostics and Treatment Processes
13. Emerging Technologies and Innovations for Intelligent Healthcare
14. The Future of Healthcare 4.0: Trends and Innovations
15. Artificial Intelligence in Sustainable Telemedicine
16. Real-Time Intelligent Telehealth Workspace in Patient Monitoring
17. Intelligent and Sustainable Healthcare Applications in Telemedicine
18. Enhancing Documentation and Communication in Telemedicine with Natural Language Processing
19. AI’s challenges and ethical considerations in sustainable Telemedicine
20. Healthcare 5.0: Transforming Telemedicine Workflows through Innovation
21. The Role of AI in Chronic Disease Management through Telemedicine and Future direction
- Edition: 1
- Latest edition
- Published: June 1, 2026
- Language: English
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Vandana Bajaj
Vandana Bajaj is presently working as Associate Professor in Chitkara University, Punjab. She has more than 18 years of experience in academics, and in this duration, she holds many administrative responsibilities. She has conducted number of workshops, expert talks, technical competitions and technical programmes in collaboration with Institution Innovation Council, IIC. She has presented papers in International/National Conferences and some papers in Reputed Journals. She has been granted with 6-7 utility patents and published many design patents. Her area of research includes MANET, Biometrics, Data Mining, Text Mining, Artificial Intelligence, Machine learning.
Affiliations and expertise
Associate Professor, Chitkara University, Rajpura (Punjab), IndiaSW
Savita Wadhawan
Savita Wadhawan is presently working as Associate Professor in Chitkara University, Punjab. Earlier she was working in the capacity of Assistant Professor in Maharishi Markandeswar (Deemed to be) University, Mullana, Ambala India. She has more than 19 years of experience in academics, research and administration. She has more than 30 Research Publications in Reputed Journals including SCI/Scopus Indexed Journals and International Conferences. She has 3 Patents (Granted) and 2 (Published). She is presently a Reviewer in reputed and highly indexed journals. She also served as book editor in Bentham Science Publisher, United Arab Emirates in 2022-2024 for an edited book. Her current areas of research interest include soft computing, machine learning, fuzzy based systems and healthcare.
Affiliations and expertise
Associate Professor, Chitkara University, Punjab, IndiaAS
Arvind Sharma
Arvind Sharma is an Associate Professor in Shoolini University, India. His research interests span Cryptography, Computer Networks, Cloud Computing, Internet of Things, and Interdisciplinary research in healthcare.
Affiliations and expertise
Assistant Professor, Shoolini University, Solan (Himachal Pradesh), IndiaMS
Monika Sharma
Monika Sharma is alumna of Mewar University, Rajasthan, India having postgraduate in M.Sc. Medical Lab Technology (MLT). She pursued her B.Sc. MLT from NIMS University, Rajasthan, India. She had 8+ years of experience in medical stream and currently working in Mobile Medical Unit (National Health Mission), Office of Chief Medical Officer Solan, District Solan, Himachal Pradesh, India. During her tenure as medical laboratory technician, she had fulfilled number of responsibilities some of which concerned to a clinical laboratory tests and procedures to determine the health of human tissues, blood samples and other related to administration. Calibrating equipment, developing standard operating procedures and determining correct reference ranges for tests are other task which she also look after.
Affiliations and expertise
Mobile Medical Unit (National Health Mission), Office of the Chief Medical Officer in Solan, District Solan, Himachal Pradesh, IndiaAK
Ashish Khanna
Ashish Khanna is Professor in Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain. His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning.
Affiliations and expertise
Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology (MAIT), New Delhi, IndiaLC
Lynn Robert Carter
Lynn Robert Carter is Professor of Practice in Arizona State University, United States, having over 45 years of experience with research specialization in software engineering, healthcare applications, and defense.
Affiliations and expertise
Professor of Practice, Arizona State University, Tempe, AZ, USA