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A Practitioner's Guide to Advancing Behavioral Health Care with Artificial Intelligence

by David D. Luxton

A practical overview of AI in behavioral health

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AlbakiReads Editorial

A practical overview of AI in behavioral health

David D. Luxton’s guide maps AI applications across the work of behavioral health care, from office administration and research to assessment, diagnosis, and direct clinical care. It also considers professional training and patient self-care, distinguishing tools already in use from possible future applications. Research grounds the chapters, while ethical questions and safety concerns are addressed throughout. The book frames AI as a potential way to support practice and health monitoring, and examines opportunities related to care delivery, costs, and population health.

Good fit for readers who enjoy

  • Behavioral health practitioners exploring AI tools for clinical or administrative work
  • Professionals interested in AI applications in assessment, training, or patient self-care
  • Readers seeking a research-grounded overview that includes ethical and safety considerations

Themes

Artificial intelligence in behavioral healthClinical practice and care deliveryProfessional training and patient self-careEthics and safety

Based on publisher information and book metadata.

Book overview

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.

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