Smart Hospital Technology with Advanced Sensors: Innovations in Patient Care explores the transformative role of advanced sensor systems in modern healthcare environments. This book presents a comprehensive overview of smart hospital technologies, emphasizing the integration of AI, IoT, and automation to enhance patient care and hospital operations. Topics covered include wearable and implantable sensors, AI-driven diagnostics, robotic surgery, smart ICUs, and cybersecurity in healthcare. It also addresses emerging trends such as blockchain for medical data, ethical AI, and the convergence of smart hospitals with smart cities. Content is supported by global case studies and expert contributions.
Designed for students, researchers, and academics in bioinformatics, this book offers foundational knowledge, current applications, and future directions in digital healthcare. It serves as a valuable resource for understanding the challenges and opportunities in building intelligent, data-driven hospital systems that improve outcomes and redefine patient experiences.
1. Section 1: Introduction to smart hospitals - p. S1 2. Chapter 1. The evolution of healthcare technology and smart hospitals: definition and scope - p. 3 3. Chapter 2. Introduction to Society 5.0 and the future of smart healthcare - p. 21 4. Chapter 3. Role of advanced sensors in modern healthcare - p. 33 5. Section 2: Core technologies in smart hospitals - p. S47 6. Chapter 4. Artificial intelligence–blockchain–Internet of Things–based smart healthcare services: literature review and future research directions - p. 49 7. Chapter 5. Internet of Things and wearable devices integration in 6G-blockchain healthcare networks - p. 63 8. Chapter 6. Artificial intelligence in healthcare: concepts and applications - p. 77 9. Chapter 7. Wireless and flexible thermometric sensors: a pathway to smart healthcare monitoring - p. 95 10. Section 3: Smart patient monitoring and diagnosis - p. S111 11. Chapter 8. A cloud-connected low-cost electrocardiogram monitoring system for smart healthcare - p. 113 12. Chapter 9. Robotics in elderly care: enhancing quality of life through assistive technology - p. 123 13. Chapter 10. Large language models for precision diagnostics: a revolutionary approach to early detection and personalized treatment strategies in healthcare - p. 133 14. Chapter 11. Energy-efficient and scalable network architectures for next-generation remote patient monitoring systems - p. 147 15. Section 4: Robotics and automation in healthcare - p. S165 16. Chapter 12. Artificial intelligence in healthcare: transforming diagnostics, treatment, and patient care through machine learning and deep learning applications - p. 167 17. Chapter 13. Large language models for drug discovery and development: a transformative technology accelerating the identification of novel therapeutics - p. 181 18. Chapter 14. Smart ambulance systems and emergency response powered by 6G networks - p. 193 19. Section 5: Smart hospital infrastructure and security - p. S209 20. Chapter 15. The digital phenotype: artificial intelligence–driven biomarkers and clinical analytics for autism spectrum disorder - p. 211 21. Chapter 16. Emerging role of 6G in intelligent healthcare ecosystems - p. 229 22. Chapter 17. 6G-powered human motion synthesis framework for artificial intelligence–enabled pose guidance - p. 243 23. Section 6: Challenges, policies and future trends - p. S253 24. Chapter 18. 6G-enabled smart hospitals: design, deployment, and performance evaluation - p. 255 25. Chapter 19. Sustainability and green technologies in smart healthcare - p. 269 26. Chapter 20. Secure data storage and transmission models using distributed ledger technologies - p. 285 27. Chapter 21. Empowering patients: the role of blockchain in secure and interoperable electronic health records - p. 301 28. Chapter 22. Blockchain-enabled interoperability frameworks for medical data sharing: a comprehensive overview - p. 319 29. Chapter 23. Current status and future prospects of blockchain technology in smart healthcare system - p. 337 30. Chapter 24. Blockchain technology in healthcare systems: opportunities and challenges - p. 349 31. Chapter 25. Industry 5.0, Society 5.0, Healthcare 5.0, and Consumer 5.0: current status, vision, issues, challenges, and opportunities for future - p. 371 32. Chapter 26. Convergence of 6 G, blockchain, and artificial intelligence for next-generation healthcare - p. 387 33. Chapter 27. Cybersecurity and data privacy in smart hospitals: protecting child health data in digital care environments - p. 395 34. Chapter 28. Ethical issues in artificial intelligence driven healthcare and disability: inclusion, fairness, and human dignity - p. 411 35. Chapter 29. The roles of 6G, blockchain, artificial intelligence, cloud computing, digital twin, and quantum computing in future hospitals - p. 425 36. Index - p. 439
Smart Hospital Technology with Advanced Sensors: Innovations in Patient Care explores the transformative role of advanced sensor systems in modern healthcare environments. This book presents a comprehensive overview of smart hospital technologies, emphasizing the integration of AI, IoT, and automation to enhance patient care and hospital operations. Topics covered include wearable and implantable sensors, AI-driven diagnostics, robotic surgery, smart ICUs, and cybersecurity in healthcare. It also addresses emerging trends such as blockchain for medical data, ethical AI, and the convergence of smart hospitals with smart cities. Content is supported by global case studies and expert contributions.
Designed for students, researchers, and academics in bioinformatics, this book offers foundational knowledge, current applications, and future directions in digital healthcare. It serves as a valuable resource for understanding the challenges and opportunities in building intelligent, data-driven hospital systems that improve outcomes and redefine patient experiences.
1. Section 1: Introduction to smart hospitals - p. S1 2. Chapter 1. The evolution of healthcare technology and smart hospitals: definition and scope - p. 3 3. Chapter 2. Introduction to Society 5.0 and the future of smart healthcare - p. 21 4. Chapter 3. Role of advanced sensors in modern healthcare - p. 33 5. Section 2: Core technologies in smart hospitals - p. S47 6. Chapter 4. Artificial intelligence–blockchain–Internet of Things–based smart healthcare services: literature review and future research directions - p. 49 7. Chapter 5. Internet of Things and wearable devices integration in 6G-blockchain healthcare networks - p. 63 8. Chapter 6. Artificial intelligence in healthcare: concepts and applications - p. 77 9. Chapter 7. Wireless and flexible thermometric sensors: a pathway to smart healthcare monitoring - p. 95 10. Section 3: Smart patient monitoring and diagnosis - p. S111 11. Chapter 8. A cloud-connected low-cost electrocardiogram monitoring system for smart healthcare - p. 113 12. Chapter 9. Robotics in elderly care: enhancing quality of life through assistive technology - p. 123 13. Chapter 10. Large language models for precision diagnostics: a revolutionary approach to early detection and personalized treatment strategies in healthcare - p. 133 14. Chapter 11. Energy-efficient and scalable network architectures for next-generation remote patient monitoring systems - p. 147 15. Section 4: Robotics and automation in healthcare - p. S165 16. Chapter 12. Artificial intelligence in healthcare: transforming diagnostics, treatment, and patient care through machine learning and deep learning applications - p. 167 17. Chapter 13. Large language models for drug discovery and development: a transformative technology accelerating the identification of novel therapeutics - p. 181 18. Chapter 14. Smart ambulance systems and emergency response powered by 6G networks - p. 193 19. Section 5: Smart hospital infrastructure and security - p. S209 20. Chapter 15. The digital phenotype: artificial intelligence–driven biomarkers and clinical analytics for autism spectrum disorder - p. 211 21. Chapter 16. Emerging role of 6G in intelligent healthcare ecosystems - p. 229 22. Chapter 17. 6G-powered human motion synthesis framework for artificial intelligence–enabled pose guidance - p. 243 23. Section 6: Challenges, policies and future trends - p. S253 24. Chapter 18. 6G-enabled smart hospitals: design, deployment, and performance evaluation - p. 255 25. Chapter 19. Sustainability and green technologies in smart healthcare - p. 269 26. Chapter 20. Secure data storage and transmission models using distributed ledger technologies - p. 285 27. Chapter 21. Empowering patients: the role of blockchain in secure and interoperable electronic health records - p. 301 28. Chapter 22. Blockchain-enabled interoperability frameworks for medical data sharing: a comprehensive overview - p. 319 29. Chapter 23. Current status and future prospects of blockchain technology in smart healthcare system - p. 337 30. Chapter 24. Blockchain technology in healthcare systems: opportunities and challenges - p. 349 31. Chapter 25. Industry 5.0, Society 5.0, Healthcare 5.0, and Consumer 5.0: current status, vision, issues, challenges, and opportunities for future - p. 371 32. Chapter 26. Convergence of 6 G, blockchain, and artificial intelligence for next-generation healthcare - p. 387 33. Chapter 27. Cybersecurity and data privacy in smart hospitals: protecting child health data in digital care environments - p. 395 34. Chapter 28. Ethical issues in artificial intelligence driven healthcare and disability: inclusion, fairness, and human dignity - p. 411 35. Chapter 29. The roles of 6G, blockchain, artificial intelligence, cloud computing, digital twin, and quantum computing in future hospitals - p. 425 36. Index - p. 439
