فهرست مطالب
Table of Contents
About the Authors
About the Technical Reviewer
Acknowledgments
Introduction
Chapter 1: Introduction to Healthcare 4.0
Understanding the Fourth Industrial Revolution in Healthcare
Technological Innovations Driving the 4IR in Healthcare
Challenges and Opportunities in the 4IR Healthcare Landscape
The Future of 4IR Healthcare: Emerging Trends and Implications
Evolution of Healthcare Technologies
Ancient Remedies and Traditional Healing Practices
The Renaissance and the Birth of Modern Medicine
The 20th Century: The Era of Biomedical Innovation
The Digital Revolution and the Era of Precision Medicine
The Future of Healthcare Technologies: Emerging Trends and Challenges
Impact of Healthcare 4.0 on Patient Care and Management
Summary
Chapter 2: Fundamentals of Artificial Intelligence in Healthcare
Overview of Artificial Intelligence and Machine Learning
How Does a Machine Learning Model Learn?
Example of ML Model Learning
What Is Deep Learning?
Phases of the Life Cycle of a Machine Learning Project
Applications of AI in Healthcare
Challenges and Opportunities in AI Implementation
Summary
Chapter 3: Internet of Things in Healthcare
Introduction to IoT and Its Components
Architecture of IoT
Service-Oriented Architecture
Sensing Layer
Network Layer
Service Layer
Interface Layer
IoT Applications in Healthcare
Benefits and Challenges of IoT in Healthcare
Benefits of IoT in Healthcare
Challenges of IoT in Healthcare
Summary
Chapter 4: Integration of AI and IoT in Healthcare 4.0
Synergies Between AI and IoT in Healthcare
Real-Time Data Analysis and Decision-Making
Future Trends in AI and IoT Integration in Telemedicine
Summary
Chapter 5: Data Security and Privacy in Healthcare 4.0
Importance of Data Security in Healthcare
Regulations and Standards for Data Protection
Aspects of the GDPR of Particular Relevance to Healthcare
Transparency
Legal Basis for Processing of Special Categories of Personal Data
Data Subjects’ Rights
Data Controller Obligations
Privacy Policy
Records of Processing Activities
Data Processing Contracts
Data Protection Officer
Security Obligations
Data Breach Notifications
Sharing Personal Health Data
Sharing Patient Data with Other Organizations for Provision of Healthcare
Sharing Patient Data with Other Medical Professionals
Sharing Patient Data with Insurance Companies and Lawyers
Special Considerations when Sharing Patient Data
What Are the Implications of the Data Protection Legislation on Health Research?
Is Obtaining Consent to Use Personal Data Always Necessary when Providing Medical Care?
Strategies for Ensuring Data Privacy in Healthcare 4.0
Summary
Chapter 6: AI and IoT in Remote Patient Monitoring
Role of AI and IoT in Remote Patient Monitoring (RPM)
Synergy Between AI and IoT Technologies
Benefits of AI and IoT in Remote Monitoring
Improved Patient Outcomes
Enhanced Efficiency and Cost Savings
Early Detection of Health Issues
Challenges and Considerations of AI and IoT in Remote Monitoring
Data Privacy and Security Concerns
Regulatory Compliance
Technical Challenges and Infrastructure Requirements
Wearable Devices and Sensors for Remote Monitoring
Applications of Wearable Devices and Sensors in Remote Monitoring
Chronic Disease Management
The Role of Healthcare Providers
Patient Education and Self-Management
Elderly Care
Models of Elderly Care
Role of Healthcare Professionals and Caregivers
Community Engagement and Policy Interventions
Applications of Remote Patient Monitoring
Benefits and Challenges of Remote Patient Monitoring
Fitness and Wellness Tracking
Benefits of Fitness and Wellness Tracking
Challenges and Considerations
Role of Technology in Facilitating Tracking Efforts
Benefits of Fitness and Wellness Tracking
Wearable Devices and Sensors for Remote Monitoring
Accuracy and Reliability of Measurements
Challenges in Ensuring Accuracy and Reliability
Limitations of Measurement Techniques
Strategies to Mitigate Challenges and Limitations
User Acceptance and Adherence
Determinants of User Acceptance
Determinants of Adherence
Strategies to Enhance Acceptance and Adherence
Regulatory Compliance
Key Regulatory Areas in Healthcare
Challenges and Considerations in Regulatory Compliance
Strategies to Navigate Regulatory Compliance
Improving Patient Outcomes Through Remote Monitoring
Summary
Chapter 7: AI and IoT in Disease Diagnosis and Management
AI-Based Diagnostic Tools
IoT-Enabled Healthcare Devices for Disease Management
Enhancing Precision Medicine Through AI and IoT
Summary
Chapter 8: AI and IoT in Healthcare Operations Management
Streamlining Hospital Operations with AI and IoT
Supply Chain Management and Inventory Control
Optimizing Resource Allocation Using AI and IoT
Summary
Chapter 9: Ethical and Legal Considerations in Healthcare 4.0
Ethical Issues Surrounding AI and IoT in Healthcare
Legal Frameworks for AI and IoT Implementation
Ensuring Ethical Practices in Healthcare 4.0
Summary
Chapter 10: Future Perspectives and Challenges
Emerging Trends in Healthcare 4.0
Potential Challenges and Solutions
Recommendations for Successful Adoption of AI and IoT in Healthcare
Summary
About the Authors
About the Technical Reviewer
Acknowledgments
Introduction
Chapter 1: Introduction to Healthcare 4.0
Understanding the Fourth Industrial Revolution in Healthcare
Technological Innovations Driving the 4IR in Healthcare
Challenges and Opportunities in the 4IR Healthcare Landscape
The Future of 4IR Healthcare: Emerging Trends and Implications
Evolution of Healthcare Technologies
Ancient Remedies and Traditional Healing Practices
The Renaissance and the Birth of Modern Medicine
The 20th Century: The Era of Biomedical Innovation
The Digital Revolution and the Era of Precision Medicine
The Future of Healthcare Technologies: Emerging Trends and Challenges
Impact of Healthcare 4.0 on Patient Care and Management
Summary
Chapter 2: Fundamentals of Artificial Intelligence in Healthcare
Overview of Artificial Intelligence and Machine Learning
How Does a Machine Learning Model Learn?
Example of ML Model Learning
What Is Deep Learning?
Phases of the Life Cycle of a Machine Learning Project
Applications of AI in Healthcare
Challenges and Opportunities in AI Implementation
Summary
Chapter 3: Internet of Things in Healthcare
Introduction to IoT and Its Components
Architecture of IoT
Service-Oriented Architecture
Sensing Layer
Network Layer
Service Layer
Interface Layer
IoT Applications in Healthcare
Benefits and Challenges of IoT in Healthcare
Benefits of IoT in Healthcare
Challenges of IoT in Healthcare
Summary
Chapter 4: Integration of AI and IoT in Healthcare 4.0
Synergies Between AI and IoT in Healthcare
Real-Time Data Analysis and Decision-Making
Future Trends in AI and IoT Integration in Telemedicine
Summary
Chapter 5: Data Security and Privacy in Healthcare 4.0
Importance of Data Security in Healthcare
Regulations and Standards for Data Protection
Aspects of the GDPR of Particular Relevance to Healthcare
Transparency
Legal Basis for Processing of Special Categories of Personal Data
Data Subjects’ Rights
Data Controller Obligations
Privacy Policy
Records of Processing Activities
Data Processing Contracts
Data Protection Officer
Security Obligations
Data Breach Notifications
Sharing Personal Health Data
Sharing Patient Data with Other Organizations for Provision of Healthcare
Sharing Patient Data with Other Medical Professionals
Sharing Patient Data with Insurance Companies and Lawyers
Special Considerations when Sharing Patient Data
What Are the Implications of the Data Protection Legislation on Health Research?
Is Obtaining Consent to Use Personal Data Always Necessary when Providing Medical Care?
Strategies for Ensuring Data Privacy in Healthcare 4.0
Summary
Chapter 6: AI and IoT in Remote Patient Monitoring
Role of AI and IoT in Remote Patient Monitoring (RPM)
Synergy Between AI and IoT Technologies
Benefits of AI and IoT in Remote Monitoring
Improved Patient Outcomes
Enhanced Efficiency and Cost Savings
Early Detection of Health Issues
Challenges and Considerations of AI and IoT in Remote Monitoring
Data Privacy and Security Concerns
Regulatory Compliance
Technical Challenges and Infrastructure Requirements
Wearable Devices and Sensors for Remote Monitoring
Applications of Wearable Devices and Sensors in Remote Monitoring
Chronic Disease Management
The Role of Healthcare Providers
Patient Education and Self-Management
Elderly Care
Models of Elderly Care
Role of Healthcare Professionals and Caregivers
Community Engagement and Policy Interventions
Applications of Remote Patient Monitoring
Benefits and Challenges of Remote Patient Monitoring
Fitness and Wellness Tracking
Benefits of Fitness and Wellness Tracking
Challenges and Considerations
Role of Technology in Facilitating Tracking Efforts
Benefits of Fitness and Wellness Tracking
Wearable Devices and Sensors for Remote Monitoring
Accuracy and Reliability of Measurements
Challenges in Ensuring Accuracy and Reliability
Limitations of Measurement Techniques
Strategies to Mitigate Challenges and Limitations
User Acceptance and Adherence
Determinants of User Acceptance
Determinants of Adherence
Strategies to Enhance Acceptance and Adherence
Regulatory Compliance
Key Regulatory Areas in Healthcare
Challenges and Considerations in Regulatory Compliance
Strategies to Navigate Regulatory Compliance
Improving Patient Outcomes Through Remote Monitoring
Summary
Chapter 7: AI and IoT in Disease Diagnosis and Management
AI-Based Diagnostic Tools
IoT-Enabled Healthcare Devices for Disease Management
Enhancing Precision Medicine Through AI and IoT
Summary
Chapter 8: AI and IoT in Healthcare Operations Management
Streamlining Hospital Operations with AI and IoT
Supply Chain Management and Inventory Control
Optimizing Resource Allocation Using AI and IoT
Summary
Chapter 9: Ethical and Legal Considerations in Healthcare 4.0
Ethical Issues Surrounding AI and IoT in Healthcare
Legal Frameworks for AI and IoT Implementation
Ensuring Ethical Practices in Healthcare 4.0
Summary
Chapter 10: Future Perspectives and Challenges
Emerging Trends in Healthcare 4.0
Potential Challenges and Solutions
Recommendations for Successful Adoption of AI and IoT in Healthcare
Summary