
Innovation in Health Informatics
A Smart Healthcare Primer
by Miltiadis Lytras, Akila Sarirete, Patricia Ordonez de Pablos
2nd Edition
Publisher: Academic Press
Book Details
| Print ISBN | 9780443367694 |
| eText ISBN | 9780443367700 |
| Publisher | Academic Press |
| Publishing Year | 2026 |
| Edition | 2nd Edition |
| Language | English |
| Pages | 576 |
Innovation in Health Informatics, 2nd Edition provides students in health informatics, faculty, and healthcare management professionals with a systematic introduction to data-intensive smart healthcare methodologies. The textbook establishes fundamental concepts in computational health tools, guiding readers through the technical principles behind automated analytical workflows and electronic health architectures.
The text presents cohesive thematic coverage of value-based healthcare, economic efficiency, and natural language processing applications. It explores methodic approaches to clinical analytics, sentiment analysis, and web-based syndromic surveillance to help practitioners interpret multi-source health data streams effectively.
This publication includes interactive QR codes that connect directly to simulation videos and supplementary online resources. The organized content offers structured practice and reference material for public health professionals, medical informatics practitioners, and academic instructors designing technical health curricula.
Table of Contents
Chapter 1: Artificial intelligence-driven health informatics: Setting the new landscape for personalized and value-based healthcare
Chapter 2: Smart healthcare: Emerging technologies, best practices and sustainable policies
Chapter 3: Syndromic surveillance using web data: A systematic review
Chapter 4: Digital twin technology: Foundations, applications and implications for next generation healthcare
Chapter 5: Natural language processing, sentiment analysis and clinical analytics: From traditional approaches to large language models
Chapter 6: Clinical decision support for infection control in surgical care
Chapter 7: Human activity recognition using artificial intelligence and machine learning in Internet of Things–enabled healthcare systems
Chapter 8: Application of machine learning and image processing for detection of breast cancer
Chapter 9: Preserving critical health information: Challenges and innovations in healthcare systems
Chapter 10: The foundations of artificial intelligence: Towards new models of healthcare delivery and innovative services
Chapter 11: Security and privacy solutions for smart healthcare systems
Chapter 12: Cloud-based health monitoring framework using smart sensors and smartphone
Chapter 13: Artificial intelligence–assisted detection of diabetic retinopathy on digital fundus images: Concepts and applications in the National Health Service
Chapter 14: The next generation of medical applications based on virtual reality and sensors
Chapter 15: A smart portable diagnostic solution for early-stage detection of diabetic retinopathy
Chapter 16: Improved nodule detection in chest X-rays using principal component analysis filters
Chapter 17: The Internet of Medical Things and personal area networks: Standards, challenges, and applications in smart healthcare
Chapter 18: Threats to patients’ privacy in smart healthcare environment: From traditional vulnerabilities to blockchain and quantum-era challenges
Chapter 19: Policy implications for smart healthcare: The international collaboration dimension
Chapter 20: Health Informatics 2040: A robust and sustainable pathway to super intelligence
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