Innovation in Health Informatics

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, 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, ensuring relevance across various regions

Section I: Smart healthcare in the era of big data and data science 1 Artificial intelligence-driven health informatics: Setting the new landscape for personalized and value-based healthcare2 Smart healthcare: Emerging technologies, best practices and sustainable policies3 Syndromic surveillance using web data: A systematic review4 Digital twin technology: Foundations, applications and implications for next generation healthcare5 Natural language processing, sentiment analysis and clinical analytics: From traditional approaches to large language modelsSection II: Advanced decision making and artificial intelligence for smart healthcare 6 Clinical decision support for infection control in surgical care7 Human activity recognition using artificial intelligence and machine learning in Internet of Things-enabled healthcare systems8 Application of machine learning and image processing for detection of breast cancer9 Preserving critical health information: Challenges and innovations in healthcare systemsSection III: Emerging technologies and systems for smart healthcare 10 The foundations of artificial intelligence: Towards new models of healthcare delivery and innovative services11 Security and privacy solutions for smart healthcare systems12 Cloud-based health monitoring framework using smart sensors and smartphone13 Artificial intelligence-assisted detection of diabetic retinopathy on digital fundus images: Concepts and applications in the National Health Service14 The next generation of medical applications based on virtual reality and sensors15 A smart portable diagnostic solution for early-stage detection of diabetic retinopathy16 Improved nodule detection in chest X-rays using principal component analysis filters17 The Internet of Medical Things and personal area networks: Standards, challenges, and applications in smart healthcareSection IV: Social issues and policy making for smart healthcare 18 Threats to patients' privacy in smart healthcare environment: From traditional vulnerabilities to blockchain and quantum-era challenges19 Policy implications for smart healthcare: The international collaboration dimension20 Health Informatics 2040: A robust and sustainable pathway to super intelligence