Innovation in Health Informatics

Miltiadis D. Lytras is a Professor of Artificial Intelligence, Digital Transformation, and Knowledge Management at Effat University (Saudi Arabia) and The American College of Greece. He is an internationally recognized researcher with extensive experience in AI, data science, smart systems, and digital innovation across healthcare, education, government, and business. He has served as Principal Investigator and Senior Researcher in numerous international and national research projects and has published more than 100 peer-reviewed articles and over 40 books with leading international publishers. His work focuses on responsible and human-centered AI, advanced decision-making systems, and the strategic impact of emerging technologies on organizations and society. Dr. Akila Sarirete is Dean of Graduate Studies and Research at Effat University. She received her PhD degree in Computer Science and Knowledge Management. Her main research interests are in artificial intelligence, knowledge management, communities of practice, machine learning, big data, and service-oriented architectures. She presented her research work in several conferences in different countries. Dr. Sarirete has a vast experience in software development industry and software engineering. She is interested in engineering education, innovation, smart cities and villages especially, the human aspect and the collaborative work. 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 has contributed to numerous academic publications. 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.

• 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