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Full Description
Innovation in Health Informatics: Driving Value-Based Healthcare through Economic Efficiency, Second Edition, addresses the 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 the foundational topics. 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. 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. This edition equips readers with up-to-date knowledge and tools to navigate and innovate within the evolving landscape of health informatics.
Contents
Section A: Smart Healthcare in the Era of Big Data and Data Science
1. Smart Healthcare: Emerging Technologies, Best Practices, and Sustainable Policies
2. Syndromic Surveillance Using Web Data: A Systematic Review
3. Natural Language Processing, Sentiment Analysis, and Clinical Analytics
Section B: Advanced Decision Making and Artificial Intelligence for Smart Healthcare
4. Clinical Decision Support for Infection Control in Surgical Care
5. Human Activity Recognition Using Machine Learning Methods in a Smart Healthcare Environment
6. Application of Machine Learning and Image Processing for Detection of Breast Cancer
7. Toward Information Preservation in Healthcare Systems
Section C: Emerging Technologies and Systems for Smart Healthcare
8. Security and Privacy Solutions of Smart Healthcare Systems
9. Cloud-Based Health Monitoring Framework Using Smart Sensors and Smartphone
10. Mobile Partogram—m-Health Technology in the Promotion of Parturient's Health in the Delivery Room
11. Artificial Intelligence-Assisted Detection of Diabetic Retinopathy on Digital Fundus Images: Concepts and Applications in the National Health Service
12. Virtual Reality and Sensors for the Next Generation Medical Systems
13. Portable Smart Healthcare Solution to Eye Examination for Diabetic Retinopathy Detection at an Earlier Stage
14. Improved Nodule Detection in Chest X-Rays Using Principle Component Analysis Filters
15. Characterizing Internet of Medical Things/Personal Area Networks Landscape
Section D: Social Issues and Policy-Making for Smart Healthcare
16. Threats to Patients' Privacy in Smart Healthcare Environment
17. Policy Implications for Smart Healthcare: The International Collaboration Dimension
