
Innovation in Health Informatics
A Smart Healthcare Primer
Academic Press
2nd Edition
Will be published approx. on 1. August 2026
Book
Paperback/Softback
576 pages
978-0-443-36769-4 (ISBN)
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.
More details
Series
Edition
2nd edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 235 mm
Width: 191 mm
Weight
449 gr
ISBN-13
978-0-443-36769-4 (9780443367694)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition

Book
11/2019
Academic Press
€146.08
Shipment within 15-20 days
Persons
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.
Editor
Professor, Effat University, College of Engineering, Saudi Arabia
Assistant Professor, Computer Science Department, College of Engineering, Deree College, The American College of Greece, Greece and Dean of Graduate Studies and Research, Effat University, Kingdom of Saudi Arabia
Professor, Faculty of Economics and Business, The University of Oviedo,? Spain
Content
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
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