Innovation in Health Informatics

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.
- 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

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