Innovation in Health Informatics
A Smart Healthcare Primer
Next Generation Technology Driven Personalized Medicine And Smart Healthcare Series

Coordinators: Lytras Miltiadis, Sarirete Akila

Language: English

146.54 €

In Print (Delivery period: 14 days).

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440 p. · 19x23.3 cm · Paperback

Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare.

This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics.

Section A. SMART HEALTHCARE IN THE ERA OF BIG DATA AND DATA SCIENCE1. Smart Healthcare: Emerging Technologies, Best Practices and Sustainable Policies2. Syndromic surveillance models using Web data: a systematic review3. Clinical Analytics: Fusion of Big Data and Clinical Information

Section B. ADVANCED DECISION MAKING AND ARTIFICIAL INTELLIGENCE FOR SMART HEALTHCARE 4. Clinical decision support for infection control in surgical care6. Application of Machine Learning and Image Processing for Detection of Breast Cancer7. Towards information preservation in healthcare systems

Section C. EMERGING TECHNOLOGIES AND SYSTEMS FOR SMART HEALTHCARE 8. Security for Smart Healthcare and Medical Information 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 Techniques in Diabetic Retinal Screening: Concepts and Applications in the NHS12. Virtual Reality and Sensors for the Next Generation Medical Systems13. Portable Solution to Eye Examination for Diabetic Retinopathy Detection at an Earlier Stage14. Improved Nodule Detection in Chest X-Rays using PCA Filters15. Characterizing IOMT/Personal Area Networks Landscape

Section D. SOCIAL ISSUES AND POLICY MAKING FOR SMART HEALTHCARE 16. Threats to Patients’ Privacy in Smart Healthcare Environment17. Policy implications for smart healthcare – the international collaboration dimension

Section E. APPENDIXES18. Smart heatlhcare project descriptions19. Teaching assignments

Miltiadis D. Lytras is an expert in advanced computer science and management, editor, lecturer, and research consultant, with extensive experience in academia and the business sector in Europe and Asia. Dr. Lytras is a Research Professor at Deree College - The American College of Greece and a Distinguished Scientist at the King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia. Dr. Lytras is a world-class expert in the fields of cognitive computing, information systems, technology enabled innovation, social networks, computers in human behavior, and knowledge management. In his work, Dr. Lytras seeks to bring together and exploit synergies among scholars and experts committed to enhancing the quality of education for all.
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.
  • Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies
  • Presents a case study driven approach, with references to real-world applications and systems
  • Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers