Smart Hospital Anatomy with Advanced Sensors. Innovations in Patient Care

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

Authors

Amit Kumar Tyagi Assistant Professor, National Institute of Fashion Technology, New Delhi, India. Amit Kumar Tyagi is an Assistant Professor, at the National Forensic Sciences University, Gandhinagar, Gujarat, India. Previously he worked as an Assistant Professor (Senior Grade 2), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India from 2019-2022. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) from 2009 to 2010, and 2012 to 2013. He was an Assistant Professor and head researcher at Lingaya's Vidyapeeth (formerly known as Lingaya's University), India from 2018 to 2019. He supervised one PhD thesis and more than ten Master dissertations. He has contributed to several projects such as "AARIN� and "P3- Block� to address some of the open issues related to privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber-Physical Systems (MCPS). He has published over 200 papers in refereed high-impact journals, conferences, and books, and some of his articles won best paper awards. Also, he has filed more than 25 patents (Nationally and Internationally) in the areas of Deep Learning, Internet of Things, Cyber-Physical Systems, and Computer Vision. He has edited more than 25 books for IET, Elsevier, Springer, CRC Press, etc. Additionally, he has authored 4 Books on Intelligent Transportation Systems, Vehicular Ad-hoc Network, Machine learning and Internet of Things, with IET UK, Springer Germany, and BPB India publisher. He won the Faculty Research Award of the Year for 2020, 2021, and 2022 consecutively, given by Vellore Institute of Technology, Chennai, India. Recently, he was awarded the best paper award for his paper "A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriented Gradient�, in ICCSA 2020, Italy (Europe). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, IEEE, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, Universal Scientific Education and Research Network, CSI, and ISTE. Shrikant Tiwari Professor, School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, Uttar Pradesh, India.. 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.