Amit Kumar Tyagi is an Assistant Professor at the National Forensic Sciences University, Gandhinagar, India. He previously held academic and research positions, including at Vellore Institute of Technology (2019–2022), and earned his PhD from Pondicherry Central University in 2018. He has supervised doctoral and master’s students and contributed to research projects on privacy and security in vehicular applications and medical cyber-physical systems. He has published over 200 peer-reviewed papers and holds more than 25 patents in areas such as deep learning, the Internet of Things, cyber-physical systems, and computer vision.He has edited over 25 books and authored four books in related fields, and has received multiple research awards. His interests include machine-based communications, blockchain, and secure, privacy-preserving computing. He is a member of ACM and IEEE.Dr. Tiwari is Associate Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He received his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi, in 2012. His research focuses on machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. He has contributed to the scholarly literature through journal articles, conference papers, and book chapters, and he is associated with several patent applications. Dr. Tiwari is a Fellow of IETE and a member of professional organizations including ACM, IET, CSI, ISTE, IAENG, and SCIEI. He also serves the research community as a guest editorial board member and reviewer for international scholarly journals.

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• Section 1: Introduction to Smart Hospitals1. The Evolution of Healthcare Technology2. Understanding Smart Hospitals: Definition and Scope3. Role of Advanced Sensors in Modern HealthcareSection 2: Core Technologies in Smart Hospitals4. IoT-Enabled Healthcare Systems5. Artificial Intelligence in Smart Hospitals6. Big Data and Cloud Computing in Healthcare7. 5G and Beyond: Revolutionizing Hospital ConnectivitySection 3: Smart Patient Monitoring and Diagnosis8. Wearable and Implantable Medical Sensors9. Remote Patient Monitoring and Telemedicine10. AI-Driven Diagnostic Imaging and Radiology11. Smart ICUs: Real-Time Monitoring and AutomationSection 4: Robotics and Automation in Healthcare12. Robotic Surgery and AI-Assisted Procedures13. Automated Drug Dispensing and Smart Pharmacies14. Autonomous Cleaning and Disinfection SystemsSection 5: Smart Hospital Infrastructure and Security15. Smart Wards: Optimizing Patient Experience16. Cybersecurity and Data Privacy in Smart Hospitals17. Blockchain for Medical Data ManagementSection 6: Challenges, Policies and Future Trends18. Ethical Considerations in AI-Driven Healthcare19. Regulatory Frameworks and Compliance in Smart Hospitals20. Economic and Operational Challenges of Smart Hospitals21. Sustainability and Green Technologies in Smart Healthcare22. The Role of 6G and Quantum Computing in Future Hospitals23. Personalized Medicine and AI-Driven Precision Healthcare24. Ethical AI and its issues in AI-Driven Precision Healthcare25. AI in Healthcare: Addressing Bias and Protecting Patient Privacy26. Integrating Smart Hospitals with Smart Cities27. Case Studies in Hospital User Adoption: Failures, Fixes, and Future Strategies28. Patient Safety at Risk? The Impact of Poor User Adoption in Hospitals29. Bridging the Gap: How Hospitals Can Improve User Adoption of New Systems30. Future Outlook: The Next Era of Smart Hospitals

Amit Kumar Tyagi is an Assistant Professor at the National Forensic Sciences University, Gandhinagar, India. He previously held academic and research positions, including at Vellore Institute of Technology (2019–2022), and earned his PhD from Pondicherry Central University in 2018. He has supervised doctoral and master’s students and contributed to research projects on privacy and security in vehicular applications and medical cyber-physical systems. He has published over 200 peer-reviewed papers and holds more than 25 patents in areas such as deep learning, the Internet of Things, cyber-physical systems, and computer vision.He has edited over 25 books and authored four books in related fields, and has received multiple research awards. His interests include machine-based communications, blockchain, and secure, privacy-preserving computing. He is a member of ACM and IEEE.Dr. Tiwari is Associate Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He received his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi, in 2012. His research focuses on machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. He has contributed to the scholarly literature through journal articles, conference papers, and book chapters, and he is associated with several patent applications. Dr. Tiwari is a Fellow of IETE and a member of professional organizations including ACM, IET, CSI, ISTE, IAENG, and SCIEI. He also serves the research community as a guest editorial board member and reviewer for international scholarly journals.

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• Section 1: Introduction to Smart Hospitals1. The Evolution of Healthcare Technology2. Understanding Smart Hospitals: Definition and Scope3. Role of Advanced Sensors in Modern HealthcareSection 2: Core Technologies in Smart Hospitals4. IoT-Enabled Healthcare Systems5. Artificial Intelligence in Smart Hospitals6. Big Data and Cloud Computing in Healthcare7. 5G and Beyond: Revolutionizing Hospital ConnectivitySection 3: Smart Patient Monitoring and Diagnosis8. Wearable and Implantable Medical Sensors9. Remote Patient Monitoring and Telemedicine10. AI-Driven Diagnostic Imaging and Radiology11. Smart ICUs: Real-Time Monitoring and AutomationSection 4: Robotics and Automation in Healthcare12. Robotic Surgery and AI-Assisted Procedures13. Automated Drug Dispensing and Smart Pharmacies14. Autonomous Cleaning and Disinfection SystemsSection 5: Smart Hospital Infrastructure and Security15. Smart Wards: Optimizing Patient Experience16. Cybersecurity and Data Privacy in Smart Hospitals17. Blockchain for Medical Data ManagementSection 6: Challenges, Policies and Future Trends18. Ethical Considerations in AI-Driven Healthcare19. Regulatory Frameworks and Compliance in Smart Hospitals20. Economic and Operational Challenges of Smart Hospitals21. Sustainability and Green Technologies in Smart Healthcare22. The Role of 6G and Quantum Computing in Future Hospitals23. Personalized Medicine and AI-Driven Precision Healthcare24. Ethical AI and its issues in AI-Driven Precision Healthcare25. AI in Healthcare: Addressing Bias and Protecting Patient Privacy26. Integrating Smart Hospitals with Smart Cities27. Case Studies in Hospital User Adoption: Failures, Fixes, and Future Strategies28. Patient Safety at Risk? The Impact of Poor User Adoption in Hospitals29. Bridging the Gap: How Hospitals Can Improve User Adoption of New Systems30. Future Outlook: The Next Era of Smart Hospitals

Amit Kumar Tyagi is an Assistant Professor at the National Forensic Sciences University, Gandhinagar, India. He previously held academic and research positions, including at Vellore Institute of Technology (2019–2022), and earned his PhD from Pondicherry Central University in 2018. He has supervised doctoral and master’s students and contributed to research projects on privacy and security in vehicular applications and medical cyber-physical systems. He has published over 200 peer-reviewed papers and holds more than 25 patents in areas such as deep learning, the Internet of Things, cyber-physical systems, and computer vision.He has edited over 25 books and authored four books in related fields, and has received multiple research awards. His interests include machine-based communications, blockchain, and secure, privacy-preserving computing. He is a member of ACM and IEEE.Dr. Tiwari is Associate Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He received his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi, in 2012. His research focuses on machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. He has contributed to the scholarly literature through journal articles, conference papers, and book chapters, and he is associated with several patent applications. Dr. Tiwari is a Fellow of IETE and a member of professional organizations including ACM, IET, CSI, ISTE, IAENG, and SCIEI. He also serves the research community as a guest editorial board member and reviewer for international scholarly journals.

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• Section 1: Introduction to Smart Hospitals1. The Evolution of Healthcare Technology2. Understanding Smart Hospitals: Definition and Scope3. Role of Advanced Sensors in Modern HealthcareSection 2: Core Technologies in Smart Hospitals4. IoT-Enabled Healthcare Systems5. Artificial Intelligence in Smart Hospitals6. Big Data and Cloud Computing in Healthcare7. 5G and Beyond: Revolutionizing Hospital ConnectivitySection 3: Smart Patient Monitoring and Diagnosis8. Wearable and Implantable Medical Sensors9. Remote Patient Monitoring and Telemedicine10. AI-Driven Diagnostic Imaging and Radiology11. Smart ICUs: Real-Time Monitoring and AutomationSection 4: Robotics and Automation in Healthcare12. Robotic Surgery and AI-Assisted Procedures13. Automated Drug Dispensing and Smart Pharmacies14. Autonomous Cleaning and Disinfection SystemsSection 5: Smart Hospital Infrastructure and Security15. Smart Wards: Optimizing Patient Experience16. Cybersecurity and Data Privacy in Smart Hospitals17. Blockchain for Medical Data ManagementSection 6: Challenges, Policies and Future Trends18. Ethical Considerations in AI-Driven Healthcare19. Regulatory Frameworks and Compliance in Smart Hospitals20. Economic and Operational Challenges of Smart Hospitals21. Sustainability and Green Technologies in Smart Healthcare22. The Role of 6G and Quantum Computing in Future Hospitals23. Personalized Medicine and AI-Driven Precision Healthcare24. Ethical AI and its issues in AI-Driven Precision Healthcare25. AI in Healthcare: Addressing Bias and Protecting Patient Privacy26. Integrating Smart Hospitals with Smart Cities27. Case Studies in Hospital User Adoption: Failures, Fixes, and Future Strategies28. Patient Safety at Risk? The Impact of Poor User Adoption in Hospitals29. Bridging the Gap: How Hospitals Can Improve User Adoption of New Systems30. Future Outlook: The Next Era of Smart Hospitals