SUSTAINABLE DEVELOPMENT
Innovate. Sustain. Transform.
Save up to 30% on top Physical Sciences & Engineering titles!
Digital Healthcare, Digital Transformation and Citizen Empowerment in Asia-Pacific and Europe for a Healthier Society
- 1st Edition - January 9, 2025
- Editors: Patricia Ordonez de Pablos, Mohammad Nabil Almunawar, Muhammad Anshari
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 0 1 6 8 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 0 1 6 9 - 8
Digital Healthcare, Digital Transformation and Citizen Empowerment in Asia-Pacific and Europe for a Healthier Society explores the potential of advanced IT in healthcare. This b… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteDigital Healthcare, Digital Transformation and Citizen Empowerment in Asia-Pacific and Europe for a Healthier Society explores the potential of advanced IT in healthcare. This book shares insights on leveraging IT tools to address global disruptions like the pandemic, offering case studies from various regions, innovative topics in digital healthcare, lessons from the COVID-19 pandemic, and recommendations for policymakers worldwide.
This title is a valuable resource for researchers, clinicians, CEOs, and policymakers seeking to learn from both failures and successes and harness the potential of advanced information technologies to enhance healthcare systems and services.
This title is a valuable resource for researchers, clinicians, CEOs, and policymakers seeking to learn from both failures and successes and harness the potential of advanced information technologies to enhance healthcare systems and services.
- Shows the urgent need to understand the potential of advanced IT for the healthcare sector
- Gives insight into the successes and failures during pandemics
- Exploits the potential of AI, big data, and knowledge management to provide better healthcare services and more digital inclusion of citizen
- Includes study cases in the field of IT and digital health during the pandemic and analyses lessons learned
Researchers, scientists, and academics in the field of information technologies, frontier research (epidemiology, immunology, virology and other relevant scientific disciplines) and medicine as well as policymakers. Also Master and PhD students
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- List of reviewers
- Preface
- Introduction
- Contents of the book
- Section I: COVID-19 pandemic and preparedness for the future includes 3 chapters
- Section II: Education, healthcare workforce, and information technologies has 4 chapters
- Section III: Digital technologies, knowledge management, healthcare, and inclusion has 3 chapters
- Section IV: Knowledge management, health data, and advanced data analytics for accelerating solutions in healthcare industry includes 2 chapters
- Section V: National healthcare visions, priorities, and strategies in Asia-Pacific includes 3 chapters
- Section VI: National healthcare visions, priorities, and strategies in Europe has 2 chapters
- Section VII: Digital transformation of healthcare services and infrastructures in Asia-Pacific includes 2 chapters
- Section VIII: Digital transformation of healthcare services and infrastructures in Europe has 2 chapters
- Finally, Section IX: Implications for healthcare research agenda and policy includes 4 chapters
- Acknowledgements
- Section I. COVID-19 pandemic and preparedness for the future
- Chapter 1. Digital transformation of healthcare services during COVID-19: Exploring challenges of using telemedicine by patients with diabetes
- Introduction
- Understanding diabetes
- The COVID-19 pandemic
- Interrelation between COVID-19 and diabetes
- Telemedicine technology
- Telemedicine for diabetes management
- General challenges of using telemedicine during the COVID-19 pandemic
- Specific challenges of using telemedicine for patients with diabetes during the COVID-19 pandemic
- Conclusion
- Chapter 2. The use of big data for health system in handling COVID-19 pandemic in Indonesia
- Introduction
- Method
- Result and discussion
- The role of big data in handling the Covid-19 pandemic
- General information technology framework in handling the Covid-19 pandemic
- Application of big data system in handling the Covid-19 pandemic
- Data management strategies
- Conclusion
- Chapter 3. Selection of a computerized medical equipment management system for a network of public college hospitals
- Introduction and contextualization
- Methods
- Steps not analyzed—not scoped
- Results
- Overall assessment
- Process analysis
- Analysis of technical and business requirements
- Analysis of financial criteria
- Final ranking, among the objective criteria
- Discussion
- Conclusion
- List of glossaries and nomenclature of technical words
- Section II. Education, healthcare workforce, and information technologies
- Chapter 4. Advancing healthcare digitalization through games and gamification in the Asia
- Introduction
- Digital healthcare technology in Asia-Pacific
- Video games and the principles of game design
- Serious games and gamification
- Gamified healthcare solutions (GHS)
- Real-world applications
- Ethical considerations
- Applications of gamified healthcare solutions (GHS) in Asia-Pacific
- Advantages of gamified healthcare solutions (GHS)
- Challenges of having gamified healthcare solutions (GHS)
- Case study: The use of gamified healthcare solutions (GHS) in enhancing digital healthcare implementation: The Malaysian experience
- Conclusion
- Chapter 5. Enhancing digital healthcare through gamification: Cyberpsychology advancements in the Asia-Pacific
- Introduction
- Definition and examples of gamified healthcare solutions
- Cyberpsychology
- Cyberpsychology advancement through gamification
- Theoretical frameworks
- Cyberpsychology empirical games research
- Benefits and applications of digital healthcare gamification
- Motivational affordances
- Psychological outcomes
- Behavioral outcomes
- Challenges of digital healthcare gamification in Asia-Pacific
- Case studies: The relevance of cyberpsychology in digital healthcare gamification effectiveness: The Australian perspective
- Journey to Wild Divine
- Re-mission
- Conclusion
- Chapter 6. The impact of hospitality service and facility on patient loyalty in a Gulf country
- Introduction
- Literature review
- Tourism
- Service
- Hospitality service
- Medical tourism
- Patients’ empowerment and hospitality services
- Research method
- Findings and discussions
- Conclusion
- Chapter 7. Games and gamification of mental health
- Introduction
- Methodology of conducting the review for this chapter
- Games for promoting mental health and well-being
- Gamification elements as supplements to existing interventions in mental health
- Efficacy of games as an intervention for mental health disorders
- Advantages and disadvantages of gamifying mental health
- Future scope for games for mental health versus gamification of mental health
- Conclusions
- Section III. Digital technologies, knowledge management, healthcare, and inclusion
- Chapter 8. Depression detection from wearables using machine learning techniques
- Introduction
- Literature review
- Materials and methods
- Dataset
- Traditional machine learning models
- Decision tree (DT)
- Logistic regression (LR)
- Gaussian Naive Bayes (GNB)
- K-Nearest Neighbors (KNN)
- Support vector machine (SVM)
- Multilayer perceptron (MLP)
- Deep learning models
- Recurrent neural network (RNN)
- Long short-term memory (LSTM)
- Bidirectional LSTM (BiLSTM)
- Convolutional neural network (CNN)
- Ensemble learning models
- Bootstrap aggregating (bagging)
- Adaptive boosting (AdaBoost)
- Gradient boosting (GB)
- Extreme gradient boosting (XGBoost)
- Random Forest (RF)
- Results and discussion
- Policy and practice implications
- Conclusion
- Limitations and future work
- Chapter 9. A decentralized architecture for personal health records: Enabling exchange and utilization of personal dental data
- Introduction
- Related work
- Information silos: A common dilemma
- Personal health records: the next epoch in electronic health records
- Interoperability: understanding and approaches
- HL7
- Terminologies
- Privacy: a difficult balance
- A Solid architecture for web decentralization
- Proposal
- An approach that allows managing the clinical data of wards
- A simple use case
- Use case: exemplary management of a minor's medical data
- Discussion
- Conclusion
- Declaration of AI and AI-assisted technologies in the writing process
- Chapter 10. Digital technology's impact on knowledge management in the healthcare industry in the Middle East
- Introduction
- Importance of digital technology in knowledge management within healthcare
- Improving the availability and dissemination of data
- Optimizing the process of making clinical decisions
- Enabling and promoting research and innovation
- Enhancing instruction and learning
- Improving patient involvement and strengthening patient autonomy
- Guaranteeing the protection of data and adherence to regulatory requirements
- Contextual relevance to the Middle Eastern healthcare industry
- Tackling regional healthcare challenges
- Improving the quality and efficiency of healthcare
- Advocating for and promoting national health priorities
- Advancing research and encouraging innovation
- Enabling the process of medical education and training
- Enhancing the exchange of health information
- Ensuring the protection and confidentiality of data
- Current state of healthcare in the Middle East
- Changes in population characteristics and their impact on health issues
- The economic influence on the healthcare sector
- Integration of technology in the healthcare sector
- Healthcare policies and governance
- Cultural, economic, and political factors influencing healthcare
- Impact of culture on healthcare
- Impact of economic factors on healthcare
- Political influences on the healthcare sector
- The interplay of cultural, economic, and political factors
- Digital technologies transforming healthcare
- Electronic health records
- Adoption and implementation
- Enhanced patient care
- Improved data precision and protection
- Operational efficiency
- Interoperability
- Patient participation
- Obstacles and factors to take into account
- Cost and resource limitations
- Training and change management
- Telemedicine
- Adoption and implementation
- Effects on healthcare delivery
- Enhanced healthcare accessibility
- Optimal resource utilization
- Advanced public health surveillance
- Artificial intelligence
- Blockchain technology
- Future directions and innovations
- Conclusion
- Section IV. Knowledge management, health data, and advanced data analytics for accelerating solutions in healthcare industry
- Chapter 11. Knowledge management, health data, and advanced data analytics to expedite solutions in the healthcare industry
- Introduction
- Key obstacles in the healthcare field
- Potential areas for growth and development
- The role of data and technology in modern healthcare
- Advanced-data analytics: Tools and techniques
- Integrating data analytics into healthcare operations
- Practical integration of data analytics in day-to-day operations
- The influence of data analytics on healthcare results
- Impact on decision making and policy development
- Predictive analytics and patient care
- Predictive models for diagnosis, treatment, and prevention
- Ethical considerations and patient engagement
- Ethical considerations
- Ensuring the privacy and confidentiality of patient data is of utmost importance
- Explicit consent
- Bias and fairness
- Active involvement of patients in their healthcare
- Active participation
- Education and communication
- Feedback mechanisms
- Striking a balance between innovation and ethical conduct
- Difficulties in fostering patient involvement
- Diverse patient needs
- Emerging technologies in healthcare (blockchain, IoT)
- Remote monitoring
- Enhanced patient engagement and satisfaction
- Asset management and optimization
- Obstacles and factors to take into account
- Future directions and innovations
- Conclusion
- Chapter 12. Analysis of gene regulatory networks from gene expression using graph neural networks
- Introduction
- Background and literature review
- Methodology
- Data source
- Gene regulatory networks
- Graph neural networks
- Results and discussion
- GRN construction
- Graph structure analysis
- Identifying key regulators
- Link prediction
- Discussion
- Implications for cancer research in the Asia-Pacific region
- Conclusion
- Section V. National healthcare visions, priorities, and strategies in Asia-Pacific
- Chapter 13. E-catalogues strategies for ensuring access to medicines as a vital component of universal health coverage
- Introduction
- Strengthening national regulations
- Implementing and adapting regulations at provincial and district levels
- Lessons learned from some regions
- New Zealand: ensuring equity for elderly individuals in maori contexts
- Estonia: advancing the formulation of a comprehensive national medicines policy
- Sub-Saharan Africa: current status, strengths, weaknesses, and effectiveness
- Indonesia: medicines availability and mitigation of barriers
- Conclusion
- Chapter 14. Ethical and legal considerations in digital healthcare ecosystems: The Malaysian experience
- Introduction
- The trend and ecosystem of digital healthcare
- Law in digital healthcare
- Ethics in digital healthcare
- The challenges of digital healthcare
- Strategies in addressing digital healthcare ethical concerns
- Case study—Navigating the ethical and legal landscape in digital healthcare: The Malaysian experience
- Scenario 1
- Scenario 2
- Conclusion
- Chapter 15. Beyond healthcare: How Banyuwangi's Bumil Risti program utilizes digitalization to empower rural communities
- Introduction
- Literature review
- Digital health interventions in maternal and child health
- Community-based health interventions
- The Bumil Risti Program
- Methodology
- Results
- Use of digital tools for communication and collaboration in the Bumil Risti Program
- Role of vegetable sellers in the Bumil Risti program: Women's empowerment and health sector participation
- Challenges and drivers of Bumil Risti program sustainability
- Discussion
- Key findings
- Challenges and lessons learned
- Comparison with a similar program
- Conclusion
- Section VI. National healthcare visions, priorities, and strategies in Europe
- Chapter 16. A methodological exploration of feature selection techniques to enhance AI-based predictive analytics in public health
- Introduction
- The role of AI methodologies and feature selection in substance use analysis
- Advancements in AI methodologies for public health research
- Challenges in implementing AI methodologies for public health research
- Comparative analysis of feature selection algorithms
- Methodological framework of the study
- Methods
- Data
- Feature selection methods
- Recursive feature elimination
- Filtering methods
- Wrapping methods
- Embedded methods
- Boruta model
- Long short-term memory (LSTM) models with SHAP (SHapley additive explanations)
- Predictive models with BiLSTM
- Analytical approach
- Results
- Performance of models
- Feature comparison across feature selection models
- Discussion
- Model performance and feature relevance
- Trade-offs and considerations
- Fit for social science research
- Policy implications
- Recommendations for future research
- Limitations
- Conclusion
- Chapter 17. Harnessing digital twins and AI integration for enhanced disease prediction in the evolution of healthcare
- Introduction
- Digital twins
- Need for digital twins
- Research objectives
- Traits and challenges offered by digital twins in the healthcare sector
- Traits of digital twins
- Challenges occurring in the implementation of digital twins
- Range of technologies and tools available for implementing digital twins in healthcare
- Tools for digital twins development
- Physical world platforms
- DT modeling platforms
- Data management platforms
- DT service platforms
- DT connection platforms
- Technologies for implementing digital twins
- Machine learning truth maintenance system (TMS)
- Random forest algorithm
- Convolutional neural network
- Applications of CNN in medical image classification
- Applications of CNN in medical image segmentation
- Applications of CNN in medical image detection
- Applications of digital twins for healthcare
- DTs for treatment methodology and administrative design in hospitals
- Designing medical devices with DTs
- DTs in pharmaceutical and biomarker development
- DTs in biomanufacturing
- DTs for surgical planning
- DTs for smart controlled trials and in-silico clinical study
- DTs for customized healthcare
- DTs for wellness
- DT healthcare research centers or consortiums
- Advancements in digital twin technology: case studies
- Conclusion
- Section VII. Digital transformation of healthcare services and infrastructures in Asia-Pacific
- Chapter 18. Digital healthcare business ecosystems in the Asia-Pacific: Transformative dynamics and strategic imperatives
- Introduction
- Digital healthcare and its ecosystem
- Key drivers of digital healthcare business ecosystems in Asia-Pacific
- Technological advancements
- Regulatory frameworks
- Consumer demand for personalized and convenient healthcare
- Fostering entrepreneurship, innovation, and collaboration
- Transformation of digital healthcare business ecosystems in Asia-Pacific
- Technological innovations driving the transformation
- COVID-19 as a Catalyst for digital healthcare
- Shift toward patient-centered care
- Challenges in nurturing successful digital healthcare business ecosystems
- Data privacy and security concerns
- Interoperability issues
- Disparities in digital literacy and access
- Strategic initiatives to address the challenges
- Enhancing data privacy and security
- Improving interoperability
- Addressing disparities in digital literacy and access
- Streamlining regulatory frameworks
- Fostering stakeholder collaboration
- Leveraging technology for inclusive growth
- Case study 1: Advancing digital health ecosystem at Samsung medical center
- Case study 2: Telehealth implementation in Makassar city, Indonesia
- Strategies
- Challenges
- Outcomes
- Comparative evaluation between SMC and the healthcare technology adoption in the EU and North America
- Conclusion
- Chapter 19. Unlocking potential: Leveraging IT for technology-enhanced healthcare education—A case study from Indonesia
- Case background
- Chapter 1—Human error contribution to patient safety incidents
- Understanding the role of human error in patient safety incidents
- Impact of human error on patient safety
- Examples of human error in healthcare settings
- The importance of standardization of health workers' skills and competency
- Chapter 2—The roles of standardization of health workers' skills and competency through technology-enhanced healthcare education to improve patient safety
- Overview of technology-enhanced healthcare education
- Importance of technology in healthcare education
- Overview of various types of technology-enhanced healthcare education
- Simulation-based learning
- Online learning platforms
- Mobile applications
- Augmented reality (AR) and virtual reality (VR)
- Gamification
- Telemedicine and telehealth
- Interactive multimedia resources
- Social media and online communities
- Electronic health records (EHR) training
- Remote monitoring and telepresence
- Example of technology-enhanced healthcare education initiatives
- Expected outcomes of technology-enhanced healthcare education programs
- Case studies highlighting successful implementation and outcomes
- Chapter 3—Gaps and barriers in technology-enhanced healthcare education application
- Challenges faced in integrating technology into healthcare education
- Infrastructure and access
- Financial resources
- Technology adaptation
- Accessibility
- Regulatory and policy
- Social-economic
- Resources
- Barriers to the adoption of technology-enhanced healthcare education: Indonesian case study
- Infrastructure and resources barriers
- Resistance to change from traditional teaching methods
- Cultural barriers
- Regulatory and policy constraints
- Chapter 4—Opportunities and recommendations for advancement
- Opportunities for collaboration and partnership
- Role of stakeholders in seizing opportunities for improvement
- Policy recommendations to support technology-enhanced healthcare education
- Recommendations for policymakers
- Recommendations for healthcare organizations
- Recommendations for IT developers
- Conclusion
- Section VIII. Digital transformation of healthcare services and infrastructures in Europe
- Chapter 20. Healthcare digitalization: Insights from Croatia's experience and lessons from the COVID-19 pandemic
- Introduction
- COVID-19 pandemic and digitalization
- Strategy versus reality
- Perspectives on healthcare digitalization from key stakeholders
- Lessons for the future
- Conclusion
- Chapter 21. Blockchain revolution: Transforming digital health for a secure future
- Introduction to blockchain in healthcare
- Methodology
- Theoretical analysis
- Practical case studies
- Integrating insights
- The anatomy of a blockchain
- Beyond cryptocurrencies: Unveiling the potential of blockchain
- Why blockchain matters for Europe
- The European Union's commitment to fostering blockchain innovation through various funding initiatives and collaborative efforts (EBSI, 2024)
- The landscape of healthcare data management
- Security vulnerabilities
- Data interoperability
- Patient empowerment
- How can blockchain revolutionize healthcare?
- Blockchain's impact on data security and interoperability
- The synergistic relationship between AI and blockchain
- Challenges and considerations
- Advantages of blockchain in healthcare
- Case studies and real-world examples
- Regulatory landscape and challenges
- Regulatory framework for blockchain and AI adoption
- Challenges and opportunities
- Future directions and recommendations
- Future directions
- Future recommendations
- Abbreviations
- Section IX. Implications for healthcare research agenda and policy
- Chapter 22. Digital transformations: A detailed examination of emerging solutions in the Asia-Pacific region
- Introduction
- 5G revolutionizing healthcare: a comprehensive analysis with emphasis on Asia-Pacific and Europe
- Advancing healthcare through artificial intelligence: a comprehensive exploration in Asia-Pacific and Europe
- Internet of things and healthcare with a focus on Asia-Pacific and Europe
- Revolutionizing healthcare: robotics advancements and impact in Asia-Pacific and Europe
- Transformative innovations: unveiling the impact of 3D bioprinting in Asia-Pacific and Europe
- Empowering health management: mobile health apps in Asia-Pacific and Europe
- Data-driven healthcare: unleashing big data insights in Asia-Pacific and Europe
- Fostering seamless collaboration: data sharing in healthcare across Asia-Pacific and Europe
- Cloud-powered healthcare transformation: a deep dive into Asia-Pacific and Europe
- Blockchain revolution in healthcare: advancing patient empowerment and data security in Asia-Pacific and Europe
- Empowering citizens: digital transformation reshaping healthcare in Asia-Pacific and Europe
- Challenges and future directions: navigating regulatory complexities in healthcare across Asia-Pacific and Europe
- Conclusion
- Chapter 23. Preparing digital citizens for smart healthcare in the Asia-Pacific: Strategies, challenges, and opportunities
- Introduction
- Smart healthcare and its movement
- Building digital citizen through smart healthcare in Asia-Pacific
- Benefits of smart healthcare in nation development
- Challenges of nurturing digital citizenship through smart healthcare in the Asia-Pacific
- Integration of stakeholders' involvements to mitigate the challenges
- Case study: The HealthHub platform in Singapore—digital citizens for smart healthcare
- Strategies of preparing digital citizens
- Challenges and opportunities
- Issues and concerns
- Impact and future directions
- Conclusion
- Chapter 24. Telehealth evolution and policy response in Australia: Insights from the COVID-19 pandemic
- Introduction
- Pre-pandemic digital health landscape in Australia
- Australia's telehealth expansion during the COVID-19 pandemic
- 2021-2022: The consolidation of telehealth in Australia
- 2023-2024 and the current state of telehealth coverage in Australia
- Telehealth adoption in perspective: A cross-country comparison
- Telehealth adoption around the world
- Patient satisfaction with telehealth services
- Keys to a quick and successful implementation of telehealth in Australia: Responsiveness and adaptability to ongoing conditions
- Conclusions
- Chapter 25. Empowering age: Bridging the digital healthcare for older population
- Introduction
- Digital healthcare landscape for aging populations
- Digital healthcare for older people
- Barriers and facilitators in digital health adoption
- Addressing ageism in healthcare technology
- Stereotypes and biases
- Reducing ageism in digital health
- Cross-national perspectives: Asia-Pacific versus Europe
- Conclusion and recommendations
- Index
- No. of pages: 680
- Language: English
- Edition: 1
- Published: January 9, 2025
- Imprint: Academic Press
- Paperback ISBN: 9780443301681
- eBook ISBN: 9780443301698
Pd
Patricia Ordonez de Pablos
Patricia de Pablos is a Professor of Business Administration at the University of Oviedo in Spain. Her field of research focuses on knowledge management, healthcare sector, innovation, information technologies and technological disruption. She published more than 125 papers in academic journals and more than 35 books. She has wide editorial experience in journals, books and book series. She serves as Editor in Chief of International Journal of Asian Business and Information and Journal of Science and Technology Policy Management. She edited several books and bookseries. In 2021 she was named on “Stanford University’s Ranking of the World Scientists: World’s Top 2% Scientists".
Affiliations and expertise
Professor, Faculty of Economics and Business, The University of Oviedo, SpainMA
Mohammad Nabil Almunawar
Dr. Mohammad Nabil Almunawar is currently an associate professor at the School of Business and Economics, Universiti of Brunei Darussalam (UBDSBE), Brunei Darussalam. Dr. Almunawar has published more than 150 papers in refereed journals, books, book chapters, and encyclopedias. In the area of digital health, he has more than 20 publications. He has more than 30 years of teaching experience in information systems and e-business/e-commerce. He is currently Editor-in-chief of International Journal of E-Business Research (IJEBR) (Index in Scopus and WoS) and Journal of Business and Economic Analysis. His overall research interests include applications of IT in management, e-business/commerce, digital transformation, digital marketplace/platform, digital business ecosystem, health informatics, information security, and cloud computing. Currently, he focuses his research on digital transformation, digital marketplace platforms, and digital business ecosystems - including healthcare business ecosystem .
Affiliations and expertise
University of Brunei, BruneiMA
Muhammad Anshari
Anshari has been named in the Stanford University List of the Top 2% of World Researchers for 2022 and 2023 in the fields of ICT, business, and management. He received the Outstanding Paper award at the Emerald Literati Awards 2023 for two published papers in two Emerald journals. His research has also been referenced in two patents 2021 & 2022. After completing his PhD at FBEPS UBD, Anshari served as a research fellow at National Taiwan University and as a researcher at UIN Sunan Kalijaga Jogjakarta, Indonesia. Prior to that, in 2009, he was a research fellow in the Kingdom of Saudi Arabia at King Saud University. Anshari has successfully completed eight research grant projects and three research industry consultancies. Anshari's research interests focus on Digital Health, and he has experience as an editor for several edited books and as an author for healthcare information systems in various peer-reviewed journals
Affiliations and expertise
University of Brunei, BruneiRead Digital Healthcare, Digital Transformation and Citizen Empowerment in Asia-Pacific and Europe for a Healthier Society on ScienceDirect