This book on AI and mental health explores the intersection of AI and mental health care. It offers innovative strategies and tools to enhance mental health services. This book is structured to guide the reader through a journey of discovery and implementation, in terms of diagnosis, assessment, and management of mental health problems. It explores AI-driven diagnostic tools, illustrating how machine learning algorithms can identify patterns and predict mental health conditions. It highlig...

This is the first book to provide a comprehensive overview of the social and technological context from which eHealth applications have arisen, the psychological principles on which they are based, and the key development and evaluation issues relevant to their successful intervention.Integrating how eHealth applications can be used for both mental and physical health issues, it presents a complete guide to what eHealth means in theory, as well as how it can be used in practice. In...

Recruitment is where organizations are shaped and careers are made, leaving a profound impact on organizations, individual careers, and society as a whole. The Future of Recruitment helps professionals, researchers, employers, and everybody interested in the world of work to understand the past, present, and future of recruitment.Franziska Leutner, Reece Akhtar and Tomas Chamorro-Premuzic describe the modern technologies and ideas that are changing recruitment, many driven...

This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through artificial intelligence (AI) and other data-driven technologies.From improving the diagnosis, treatment, and monitoring of many medical conditions to the effective implementation of precise patient care, this book will help you understand datasets produced from digital health technologies and IoT and teach you how to employ analytical methods such ...

The only current book on the topic, Telepsychiatry and Health Technologies: A Guide for Mental Health Professionals is a practical, comprehensive, and evidence-based guide to patient-centered clinical care delivered in whole or in part by technological devices and applications. Not a technology-centered "health informatics" book, but rather one that describes basic technological concerns and emphasizes clinical issues and workflows, it is designed for psychiatrists, psychologists, and othe...

The goal of EBP in healthcare is to promote improved interventions, care, and patient outcomes. Johns Hopkins Evidence-Based Practice for Nurses and Healthcare Professionals has proven to be one of the most foundational books on EBP in nursing and healthcare. Building on the strength of previous versions, the fourth edition is fully revised to include updated content based on more than a decade of the model’s use, refinement in real-life settings, and feedback from nurses and other healthc...

Structure and OrganizationThe book is structured into eleven comprehensive chapters, each addressing a key thematic area where AI intersects with psychology:Chapters 1–3 introduce the foundations: the historical context, the core technologies (AI, machine learning, NLP, etc.), and the significance of AI in research and cognitive modeling.Chapters 4–7 explore domain-specific applications: clinical psychology, behavio...

Artificial Intelligence for Improved Patient Outcomes provides new, relevant, and practical information on what AI can do in healthcare and how to assess whether AI is improving health outcomes. With clear insights and a balanced approach, this innovative book offers a one-stop guide on how to design and lead pragmatic real-world AI studies that yield rigorous scientific evidence—all in a manner that is safe and ethical. Daniel Byrne, Director of Artificial Intelligence Research at AVAIL (...

Evidence-Based Practice in Nursing & Healthcare: A Guide to Best Practice, 5th Edition, is a bestselling, easy-to-use guide to translating research findings to nursing practice and applying practice data for superior clinical decision-making. Using conversational writing, inspiring quotes, and an enhanced, case-based approach, AJN award-winning authors Bernadette Melnyk and Ellen Fineout-Overholt demystify evidence-based practice to help students deliver optimal patient care and become bet...

This second edition of Applied Behavior Analysis Advanced Guidebook: A Manual for Professional Practice gives behavior analysts and other behavioral practitioners pragmatic advice, direction, and recommendations for being an effective clinician, consultant, supervisor, and performance manager. Like the first edition, the book includes chapters on evidence-based practice competencies as well as many new areas devoted to professional development, technology, and telehealth service delivery. ...

The 3rd edition of Certified Healthcare Simulation Educator (CHSE®) Review is designed to help you prepare for the Society for Simulation in HealthcareTM (SSIH) certification exam. This comprehensive resource has been updated to closely reflect the latest exam blueprint and encompass current practices. Written by simulation and education experts, this book is organized in a user-friendly format and information is concise and easy-to-read. Chapters include teaching tips that explor...

AI-Integrated Foundational Cognitive Science by Jihad Saffouri is a pioneering work that explores the uncharted integration of artificial intelligence with foundational cognitive science. Bridging psychology, neuroscience, philosophy, and machine learning, the book offers a comprehensive rethinking of how we understand cognition, learning, and conceptual change in both humans and machines. It addresses historical theories, modern AI models, and their implications for education, language, d...