David D. Luxton - Böcker

Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy.

In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering.

This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source.

Summarizes AI advances for use in mental health practiceIncludes advances in AI based decision-making and consultationDescribes AI applications for assessment and treatmentDetails AI advances in robots for clinical settingsProvides empirical data on clinical efficacyExplores practical issues of use in clinical settings

"Artificial Intelligence in Behavioral and Mental Healthcare", Second Edition, focuses on modern developments in AI and their specific application in mental health practice and research. AI technologies are transforming how mental and behavioral health care is provided and conducted. This updated edition summarizes recent advances in artificial intelligence in mental health clinical practice and research. Each chapter provides a technical description of the advance, a review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and use limitations. New to this edition are chapters on topics such as machine learning in clinical and research settings, workflow efficiency through task automation, and how AI can be used to aid in precision health and medicine. This book will be helpful to mental health practitioners interested in learning about or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. This book helps solve the problem of disparate, non-specific, or overgeneralized information by consolidating need-to-know information in one comprehensive reference volume specific to behavioral and mental health.. Includes brand new chapters on topics such as machine learning, precision medicine, and utilizing AI for workflow efficiency . Explains use through practical examples across diverse settings and clinical applications . Emphasizes ethics, safety, and best practices that enable the reader to use or develop these technologies in optimal ways . Offers a comprehensive overview of updated AI technologies, and their applications to the field . Delivers historical context with highlights on the current state of technologies

When providing telehealth services, physical distance can create ethical and safety challenges. Such challenges are manageable when following the best practices outlined in this book, which illustrates how to conduct mental health services via videoconferencing and other technologies.As telecommunication technologies and health apps become more ubiquitous and affordable, they expand opportunities for mental health professionals to provide quality care. However, physical distance as well as technology itself can create challenges to safe and ethical practice. Such challenges are manageable when following the best practices outlined in this book.Providers can use videoconference and other technologies for assessment, treatment delivery, psychoeducation, supervision, and consultation. This practical guide covers each facet of telemental health care in turn, with emphasis on: Conducting telepractice within legal, regulatory, and ethical boundaries Safeguarding clients amp rsquo privacy and ensuring the security of their data Establishing a welcoming, safe environment and therapeutic rapport from a distance

Now in its second edition, A Practitioner's Guide to Telemental Health is significantly updated with coverage of current best practices, evidence-based recommendations, and attention to nuanced refinements of telemental health in the face of recent accelerated growth in the field, due in part to the Covid- 9 pandemic.Telemental health, or TMH, has become integral to nearly all aspects of behavioral health service, including research and delivery of treatment, assessment, psychoeducation, training, supervision, and consultation. This has removed significant barriers to care access for many underserved groups however, it also means that the field overall must build its capacity to provide TMH.This book is for seasoned clinicians as well as new providers preparing to enter the mental and behavioral health care professions. Its chapters provide a guide for increasing TMH competencies, which require keeping up-to-date with the scientific evidence base and ongoing collegial discussion with informed leaders in the clinical, ethical, and legal realms.Readers will benefit from the research presented, as well as the description of practical steps they can take to ensure they are providing rewarding, safe, and quality TMH care for their patients.

An essential, sensitive overview on the current and future use of Artificial Intelligence (AI) tools in the behavioral health care context.Advances in AI are making possible more personalized, precise, efficient, predictive, and portable behavioral health care. This overview offers an important resource for practitioners who want to understand how AI can be used to improve their practice and help clients monitor their health. AI is revolutionizing the delivery of behavioral health care for mental health care professionals and their clients. This handbook offers an accessible guide to this transformation. It explains the ways that AI tools are currently used in varied behavioral-health contexts, including office administration, research, assessment and diagnosis, and direct clinical care, and it identifies critical applications for future usage. The guide also presents the current and potential value of AI technology in professional training programs and patient self-care, suggesting important pathways to further development. Research grounds each chapter, bolstering the identification of the many opportunities for implementing AI to augment behavioral health, improve behavioral health outcomes, lower the costs of behavioral health care delivery, and benefit population health. Relevant ethical issues and safety concerns are sensitively discussed throughout.