Smart Hospital Anatomy with Advanced Sensors
Innovations in Patient Care
- 1st Edition - June 26, 2026
- Latest edition
- Editors: Amit Kumar Tyagi, Shrikant Tiwari
- Language: English
Smart Hospital Technology with Advanced Sensors: Innovations in Patient Care explores the transformative role of advanced sensor systems in modern healthcare environments. This b… Read more
Description
Description
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.
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.
Key features
Key features
- Provides a comprehensive foundation on smart hospital systems, covering core technologies such as AI, IoT, robotics, and advanced sensors used in modern healthcare
- Presents globally diverse case studies and expert insights that illustrate real-world applications, challenges, and innovations in digital patient care and hospital automation
- Supports academic research and curriculum development by offering structured chapters with analytical methods, ethical considerations, and future trends in intelligent healthcare systems
Readership
Readership
Academicians and scientists working in bioinformatics and healthcare informatics
Table of contents
Table of contents
Section 1: Introduction to Smart Hospitals
1. The Evolution of Healthcare Technology
2. Understanding Smart Hospitals: Definition and Scope
3. Role of Advanced Sensors in Modern Healthcare
Section 2: Core Technologies in Smart Hospitals
4. IoT-Enabled Healthcare Systems
5. Artificial Intelligence in Smart Hospitals
6. Big Data and Cloud Computing in Healthcare
7. 5G and Beyond: Revolutionizing Hospital Connectivity
Section 3: Smart Patient Monitoring and Diagnosis
8. Wearable and Implantable Medical Sensors
9. Remote Patient Monitoring and Telemedicine
10. AI-Driven Diagnostic Imaging and Radiology
11. Smart ICUs: Real-Time Monitoring and Automation
Section 4: Robotics and Automation in Healthcare
12. Robotic Surgery and AI-Assisted Procedures
13. Automated Drug Dispensing and Smart Pharmacies
14. Autonomous Cleaning and Disinfection Systems
Section 5: Smart Hospital Infrastructure and Security
15. Smart Wards: Optimizing Patient Experience
16. Cybersecurity and Data Privacy in Smart Hospitals
17. Blockchain for Medical Data Management
Section 6: Challenges, Policies and Future Trends
18. Ethical Considerations in AI-Driven Healthcare
19. Regulatory Frameworks and Compliance in Smart Hospitals
20. Economic and Operational Challenges of Smart Hospitals
21. Sustainability and Green Technologies in Smart Healthcare
22. The Role of 6G and Quantum Computing in Future Hospitals
23. Personalized Medicine and AI-Driven Precision Healthcare
24. Ethical AI and its issues in AI-Driven Precision Healthcare
25. AI in Healthcare: Addressing Bias and Protecting Patient Privacy
26. Integrating Smart Hospitals with Smart Cities
27. Case Studies in Hospital User Adoption: Failures, Fixes, and Future Strategies
28. Patient Safety at Risk? The Impact of Poor User Adoption in Hospitals
29. Bridging the Gap: How Hospitals Can Improve User Adoption of New Systems
30. Future Outlook: The Next Era of Smart Hospitals
1. The Evolution of Healthcare Technology
2. Understanding Smart Hospitals: Definition and Scope
3. Role of Advanced Sensors in Modern Healthcare
Section 2: Core Technologies in Smart Hospitals
4. IoT-Enabled Healthcare Systems
5. Artificial Intelligence in Smart Hospitals
6. Big Data and Cloud Computing in Healthcare
7. 5G and Beyond: Revolutionizing Hospital Connectivity
Section 3: Smart Patient Monitoring and Diagnosis
8. Wearable and Implantable Medical Sensors
9. Remote Patient Monitoring and Telemedicine
10. AI-Driven Diagnostic Imaging and Radiology
11. Smart ICUs: Real-Time Monitoring and Automation
Section 4: Robotics and Automation in Healthcare
12. Robotic Surgery and AI-Assisted Procedures
13. Automated Drug Dispensing and Smart Pharmacies
14. Autonomous Cleaning and Disinfection Systems
Section 5: Smart Hospital Infrastructure and Security
15. Smart Wards: Optimizing Patient Experience
16. Cybersecurity and Data Privacy in Smart Hospitals
17. Blockchain for Medical Data Management
Section 6: Challenges, Policies and Future Trends
18. Ethical Considerations in AI-Driven Healthcare
19. Regulatory Frameworks and Compliance in Smart Hospitals
20. Economic and Operational Challenges of Smart Hospitals
21. Sustainability and Green Technologies in Smart Healthcare
22. The Role of 6G and Quantum Computing in Future Hospitals
23. Personalized Medicine and AI-Driven Precision Healthcare
24. Ethical AI and its issues in AI-Driven Precision Healthcare
25. AI in Healthcare: Addressing Bias and Protecting Patient Privacy
26. Integrating Smart Hospitals with Smart Cities
27. Case Studies in Hospital User Adoption: Failures, Fixes, and Future Strategies
28. Patient Safety at Risk? The Impact of Poor User Adoption in Hospitals
29. Bridging the Gap: How Hospitals Can Improve User Adoption of New Systems
30. Future Outlook: The Next Era of Smart Hospitals
Product details
Product details
- Edition: 1
- Latest edition
- Published: June 26, 2026
- Language: English
About the editors
About the editors
AT
Amit Kumar Tyagi
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.
Affiliations and expertise
Assistant Professor, National Institute of Fashion Technology, New Delhi, IndiaST
Shrikant Tiwari
Dr. Tiwari received his Ph.D. in the Department of Computer Science & Engineering (CSE) from the Indian Institute of Technology (Banaras Hindu University), Varanasi (India) in 2012 and M. Tech. in Computer Science and Technology from the University of Mysore (India) in 2009. Currently. He is working as an Associate Professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, Gautam Budha Nagar, Uttar Pradesh (India). He has authored and co-author more than 50 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a FIETE and member of ACM, IET, CSI, ISTE, IAENG, SCIEI. He is also a guest editorial board member and a reviewer for many international journals of repute.
Affiliations and expertise
Professor, School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, Uttar Pradesh, India.View book on ScienceDirect
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