Description
Innovation in Health Informatics: Driving Value-Based Healthcare through Economic Efficiency, Second Edition addresses rapid advancements in health informatics by integrating the latest technologies and methodologies. The revised edition includes new chapters on Digital Twins, Blockchain, AI Applications for Personalized Medicine, and Health Analytics Dashboards, enriching foundational topics. The book delves into the economic implications and practical applications of these technologies, offering evidence-based strategies for their integration into healthcare systems. For the academic audience, this book bridges the gap between theory and practice, featuring practical case studies, end-of-chapter summaries, and interactive components like QR codes linking to online resources and simulation videos.The primary goals of this revision are to update the book with the latest technological advancements, expand the scope to include emerging topics, and enhance existing chapters, ensuring it remains a comprehensive resource for professionals and students. This updated edition equips readers with up-to-date knowledge and tools to navigate and innovate within the evolving landscape of health informatics.- Includes new chapters on cutting-edge topics such as Digital Twins, Blockchain, AI applications for Personalized Medicine, and Health Analytics Dashboards- Provides actionable insights and real-world applications, making complex concepts accessible and practical for implementation through updated case studies, practical examples, and interactive components like QR codes- Equips readers with the knowledge and strategies needed to stay ahead in the rapidly evolving field of health informatics, thus ensuring relevance across various regions and contexts
Table of Contents
Section A: Smart Healthcare in the Era of Big Data and Data Science1. Smart Healthcare: Emerging Technologies, Best Practices, and Sustainable Policies2. Syndromic Surveillance Using Web Data: A Systematic Review3. Natural Language Processing, Sentiment Analysis, and Clinical AnalyticsSection B: Advanced Decision Making and Artificial Intelligence for Smart Healthcare4. Clinical Decision Support for Infection Control in Surgical Care5. Human Activity Recognition Using Machine Learning Methods in a Smart Healthcare Environment6. Application of Machine Learning and Image Processing for Detection of Breast Cancer7. Toward Information Preservation in Healthcare SystemsSection C: Emerging Technologies and Systems for Smart Healthcare8. Security and Privacy Solutions of Smart Healthcare Systems9. Cloud-Based Health Monitoring Framework Using Smart Sensors and Smartphone10. Mobile Partogram—m-Health Technology in the Promotion of Parturient's Health in the Delivery Room11. Artificial Intelligence–Assisted Detection of Diabetic Retinopathy on Digital Fundus Images: Concepts and Applications in the National Health Service12. Virtual Reality and Sensors for the Next Generation Medical Systems13. Portable Smart Healthcare Solution to Eye Examination for Diabetic Retinopathy Detection at an Earlier Stage14. Improved Nodule Detection in Chest X-Rays Using Principle Component Analysis Filters15. Characterizing Internet of Medical Things/Personal Area Networks LandscapeSection D: Social Issues and Policy-Making for Smart Healthcare16. Threats to Patients' Privacy in Smart Healthcare Environment17. Policy Implications for Smart Healthcare: The International Collaboration Dimension
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