Intelligent Digital Solutions for Lifestyle Medicine

This book directly addresses a critical challenge facing the healthcare system: the escalating prevalence and cost of chronic conditions. The solution lies in harnessing the simultaneous, rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML). The authors present a structured approach to designing, developing, and deploying intelligent digital health solutions to support the prevention and better self-management of chronic diseases, ultimately aiming to contain spiralling healthcare costs.This text provides a comprehensive guide to applying intelligent digital health to chronic care management. It first establishes the foundational essentials of digital health, detailing its socio-technical components, including crucial people, process, and technology aspects, and the indispensable role of AI/ML. Next, it deeply explores chronic conditions, emphasizing prevention and wellness management, while integrating key theories for supporting technology design and behavior change, such as co-creation, user-centered design (UCD), Task Technology Fit (TTF), nudge theory, and gamification. The book champions a personalized approach, integrating precision medicine and genomics into lifestyle interventions. A significant highlight is the presentation of several real-world case studies demonstrating practical applications, including solutions for pre-diabetes reversal, a diabetes monitoring device (DiaMonD), a post-discharge cardiac rehab app, and an asthma management tool utilizing AI for trigger prediction. By focusing on orchestration and automation, the text shows how to ensure seamless data integration across multiple devices (e.g., smartwatches and sensors), providing evidence-based support for clinicians and empowering patients to take charge of their health.This book is an essential text for graduate and senior level undergraduate students studying health informatics. For practitioners such as healthcare managers and IT consultants, entering the healthcare space as the text would inform them of both the efficacy and importance of as well as how to design appropriate effective and efficient electronic healthcare initiatives.

Nilmini Wickramasinghe is the Optus Chair and Professor of Digital Health at La Trobe University. She has been actively, researching and teaching within the health informatics/digital health domain. In 2020 she was awarded an Alexander von Humboldt award for her outstanding contribution to Digital Health.Ayesha Nilshani is currently a PhD candidate in the School of Computing, Engineering and Mathematical Sciences at La Trobe University. Her research focuses on the integration of 5G technology in healthcare, with a specific emphasis on personalized diabetes self-management.Zaid Zekiria Sako is currently pursuing a Doctor of Philosophy (PhD) degree at La Trobe University, Melbourne, Australia. His interest in digital health stems from his extensive knowledge and background in information systems. He is also a systems engineer specializing in virtualization and cloud technology.