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Digital Healthcare, Digital Transformation and Citizen Empowerment in Asia-Pacific and Europe for a Healthier Society.

Elsevier ScienceDirect eBook - Biomedical Science 2025 Available online

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Format:
Book
Author/Creator:
de Pablos, Patricia Ordonez.
Contributor:
Almunawar, Mohammad Nabil.
Anshari, Muhammad.
Series:
Information Technologies in Healthcare Industry Series
Language:
English
Subjects (All):
Telecommunication in medicine.
Gamification.
Physical Description:
1 online resource (682 pages)
Edition:
1st ed.
Place of Publication:
Chantilly : Elsevier Science & Technology, 2025.
Summary:
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 book shares insights on leveraging IT tools to address global disruptions like the pandemic, offering case studies from various regions, innovative topics in digital.
Contents:
Front Cover
Digital Healthcare, Digital Transformation and Citizen Empowerment in Asia-Pacific and Europe for a Healthier Society
Copyright
Contents
Contributors
List of reviewers
Preface
Introduction
Contents of the book
References
Acknowledgements
I - COVID-19 pandemic and preparedness for the future
1 - Digital transformation of healthcare services during COVID-19: Exploring challenges of using telemedicine by pa ...
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
2 - The use of big data for health system in handling COVID-19 pandemic in Indonesia
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
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
List of glossaries and nomenclature of technical words
Acknowledgments
References.
II - Education, healthcare workforce, and information technologies
4 - Advancing healthcare digitalization through games and gamification in the Asia
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 ex ...
Further reading
5 - Enhancing digital healthcare through gamification: Cyberpsychology advancements in the Asia-Pacific
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
6 - The impact of hospitality service and facility on patient loyalty in a Gulf country
Literature review
Tourism
Service
Hospitality service
Medical tourism
Patients' empowerment and hospitality services
Research method
Findings and discussions
Credit authorship contribution statement
7 - Games and gamification of mental health
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
III - Digital technologies, knowledge management, healthcare, and inclusion
8 - Depression detection from wearables using machine learning techniques
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
Limitations and future work
9 - A decentralized architecture for personal health records: Enabling exchange and utilization of personal dental data
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
10 - Digital technology's impact on knowledge management in the healthcare industry in the Middle East
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
Effects on healthcare delivery
Enhanced healthcare accessibility
Optimal resource utilization
Advanced public health surveillance
Artificial intelligence
Blockchain technology
Future directions and innovations
IV - Knowledge management, health data, and advanced data analytics for accelerating solutions in healthcare industry
11 - Knowledge management, health data, and advanced data analytics to expedite solutions in the healthcare industry
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
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.
Notes:
Description based on publisher supplied metadata and other sources.
Part of the metadata in this record was created by AI, based on the text of the resource.
ISBN:
9780443301698
0443301697
OCLC:
1485005705

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