Blockchain and digital twin for smart healthcare /

The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digit...

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Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Nguyen, Tuan Anh (Editor)
Format:	eBook
Language:	English
Published:	Amsterdam, Netherlands : Elsevier, 2025.
Subjects:	Blockchains (Databases) > Medical applications. Digital twins (Computer simulation) Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Front Cover
Blockchain and Digital Twin for Smart Healthcare
Copyright Page
Contents
List of contributors
About the editor
Foreword
1 Internet of Medical Things: architecture, trends, and challenges
1.1 Introduction
1.1.1 What is Internet of Medical Things?
1.1.2 Internet of Things to Internet of Medical Things evolution
1.2 Internet of Medical Things architecture
1.2.1 Internet of Medical Things types
1.2.2 Internet of Medical Things devices and protocols
1.2.3 Sensors for Internet of Medical Things
1.2.4 Internet of Medical Things communications
1.3 Design challenges
1.4 Security attacks on Internt of Medical Things
1.5 Security techniques in Internet of Medical Things
1.6 Application of Internet of Medical Things
1.7 Challenges and future directions in Internet of Medical Things
1.8 Future prospects and conclusions
References
2 Internet of Health Things: an introduction
Nomenclature
2.1 Introduction
2.2 Major components of Internet of Health Things
2.2.1 Internet of Health Things devices
2.2.1.1 Wearable devices
2.2.1.2 Implantable devices
2.2.1.3 Hospital devices
2.2.1.4 Home medical devices
2.2.2 Architectures
2.2.2.1 Perception layer
2.2.2.2 Gateway layer
2.2.2.3 Cloud layer
2.2.2.4 Application layer
2.2.3 Communication technologies
2.2.3.1 Bluetooth
2.2.3.2 Zigbee
2.2.3.3 Wi-Fi
2.2.3.4 Cellular network
2.2.3.5 Satellite
2.3 Recent advances in Internet of Health Things for smart healthcare
2.3.1 Patient monitoring
2.3.1.1 Glucose level monitoring
2.3.1.2 Heart rate monitoring
2.3.1.3 Blood pressure monitoring
2.3.1.4 Body temperature monitoring
2.3.1.5 Oxygen saturation monitoring
2.3.2 Smart medication
2.3.3 Intelligent diagnosis of chronic diseases
2.3.4 Ambient assisted living.
2.4 Current challenges and potential solutions
2.4.1 Connectivity and interoperability
2.4.2 Network and power supply
2.4.3 Wearable devices
2.4.4 Standardization
2.4.5 Data protection and security
2.5 Conclusion
References
3 Smart sensor networks based on edge technologies
3.1 Introduction
3.2 Research methodology
3.3 Classification of smart sensor networks applications in edge-based smart cities
3.3.1 Urban monitoring
3.3.2 Transportation
3.3.3 Data management
3.3.4 Resource management
3.3.5 Urban heat island
3.4 Analysis of results
3.5 Open issues
3.6 Conclusion
References
4 Blockchain and cyber-physical systems in the smart healthcare
4.1 Introduction
4.2 Characteristics of medical cyber-physical systems
4.2.1 Unit-level medical cyber-physical systems
4.2.2 Integration-level medical cyber-physical systems
4.2.3 System-level medical cyber-physical systems
4.2.4 Acceptance-level medical cyber-physical systems
4.2.5 Evolutionary-level medical cyber-physical systems
4.3 Blockchain evolving healthcare sector
4.3.1 Tracing medical frauds
4.3.2 Potential impact of blockchain technology in the healthcare sector
4.4 Significant technologies supporting medical cyber-physical systems and blockchain in the healthcare sector
4.4.1 Internet of Things
4.4.2 Cloud computing
4.4.3 Dew computing
4.4.4 Big data analytics
4.4.5 Robots
4.5 Main obstacles to the successful integration of blockchain and medical cyber-physical systems in the healthcare sector
4.5.1 Data interoperability and integration
4.5.2 Privacy and security concerns
4.5.3 Scalability and performance
4.5.4 Regulatory and governance challenges
4.5.5 Technology acceptance and training
4.5.6 Cybersecurity and resilience
4.6 Conclusion
References.
5 Impact of the Internet of Medical Things (IoMT) on healthcare: perspectives from organizations, professionals, and patien...
5.1 Introduction
5.2 Healthcare organization perspective-managing data silos and resource allocation
5.2.1 Managing data silos
5.2.2 Managing resource allocation
5.3 Healthcare professional perspective-workloads
5.4 Patient perspective-health inequality and digital exclusion
5.5 Conclusion
References
6 Smart medical sensor network
6.1 Introduction
6.2 Research methodology
6.3 Classification of approaches related to smart medical sensor networks in smart cities
6.3.1 Application class
6.3.2 Communication class
6.3.3 Security class
6.4 Analysis of results
6.5 Open issues
6.6 Conclusion
References
7 Medical sensor network and machine learning-enabled digital twins for diagnostic and therapeutic purposes
7.1 Introduction
7.1.1 Background
7.1.2 Problem statement
7.1.3 Literature review
7.1.4 Safety considerations and standards
7.2 Technologies and procedures
7.2.1 Technology description
7.2.2 Method procedure
7.2.2.1 Sensor selection and deployment
7.2.2.2 Data acquisition and transmission
7.2.2.3 Data preprocessing and feature extraction
7.2.2.4 Machine learning model development
7.2.2.5 Digital twin integration
7.2.2.6 Real-time monitoring and feedback
7.2.2.7 Model updating and refinement
7.2.2.8 Validation and performance evaluation
7.2.3 Facilities, resources, and networks
7.2.3.1 Sensors and wearable devices
7.2.3.2 Signal acquisition and transmission hardware
7.2.3.3 Computing resources
7.2.3.4 Software tools and frameworks
7.2.3.5 Secure communication and when dealing with data
7.2.3.6 Clinical and research facilities
7.2.3.7 Collaborative resources
7.2.3.8 Regulatory and ethical resources.
7.2.4 Computational modeling framewoks
7.2.4.1 Finite element analysis
7.2.4.2 Multiphysics simulation
7.2.4.3 Agent-based modeling
7.2.4.4 Machine learning and deep learning frameworks
7.2.4.5 Cloud computing platforms
7.2.4.6 High-performance computing resources
7.2.5 Optimization and troubleshooting
7.2.5.1 Optimization strategies
7.2.5.2 Troubleshooting techniques
7.2.6 Limitations
7.2.6.1 Data privacy and security concerns
7.2.6.2 Interoperability and standardization challenges
7.2.6.3 Algorithmic bias and fairness
7.2.6.4 Scalability and computational complexity
7.2.6.5 User adoption and acceptance
7.2.6.6 Regulatory and ethical considerations
7.2.6.7 Limited generalizability and transferability
7.2.6.8 Continuous monitoring and maintenance
7.3 Data analysis and validation of results
7.3.1 Data analysis
7.3.1.1 Statistical analysis
7.3.1.2 Time series analysis
7.3.1.3 Signal processing and feature extraction
7.3.1.4 Pattern recognition and anomaly detection
7.3.1.5 Sensitivity analysis and uncertainty quantification
7.3.1.6 Visualization and exploratory data analysis
7.3.2 Validation, calculation, and expression of results
7.3.2.1 Model validation
7.3.2.2 System-level validation
7.3.2.3 Clinical validation
7.3.2.4 Calculation and expression of results
7.3.2.5 Uncertainty and sensitivity analysis
7.3.2.6 Reproducibility and transparency
7.4 Discussion and evaluation
7.5 Conclusion
References
8 IoMT-driven smart healthcare
8.1 Introduction
8.2 Architecture of Internet of Medical Things-driven smart healthcare
8.2.1 Things layer
8.2.2 Gateway layer
8.2.3 Cloud layer
8.2.4 Function layer
8.3 Emerging technologies in Internet of Medical Things-driven smart healthcare
8.3.1 Sensor technology in things layer.
8.3.2 Communication technology in gateway layer
8.3.3 Cloud-blockchain enabled secure distributed computing in cloud layer
8.3.4 Artificial intelligence technology in function layer
8.4 Smart healthcare: modules and its application
8.5 Challenges and open research issues
8.5.1 Challenges in technical design
8.5.2 Social challenges
8.5.3 OpenResearch issues
References
9 Internet of Things for e-health
9.1 Introduction
9.2 Role of Internet of Things in healthcare
9.2.1 Patients
9.2.2 Obstacles for healthcare providers
9.2.3 Difficulties for healthcare administrators
9.2.4 Government officials
9.2.5 Payers' challenges (government programs and insurance companies)
9.3 Fundamental Internet of Things applications in healthcare
9.3.1 Remote patient monitoring
9.3.2 Smart medical devices
9.3.3 Wearable health technology
9.3.4 Internet of Things in hospitals
9.4 Benefits of utilizing Internet of Things in healthcare
9.4.1 Transformative ways of the healthcare sector with involvement of Internet of Things
9.5 Where is Internet of Things in healthcare heading?
9.6 Security and privacy concerns
9.7 Future scope of Internet of Things in healthcare
9.8 Conclusion and outlook
References
10 Blockchain based system for healthcare digital twin
10.1 Introduction
10.1.1 Background
10.1.2 Significance of healthcare digital twins
10.1.3 Emerging challenges in data security and patient privacy
10.2 Healthcare digital twin programs
10.2.1 Definition and overview
10.2.2 Transformative potential in patient care
10.2.3 Applications and use cases
10.3 Blockchain technology in healthcare
10.3.1 Introduction to blockchain
10.3.2 Decentralization and immutability
10.3.3 Relevance to securing healthcare data.