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

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

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 266 p.
  • 言語 ENG
  • 商品コード 9781433844515

Full Description

An essential, sensitive overview on the current and future use of 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.

Contents

Foreword
Nadine Kaslow, PhD

Introduction: Are You Ready for the AI Transformation?
Chapter 1. Foundational Concepts and Definitions
Chapter 2. AI Integration and Adoption Across Practice Settings
Chapter 3. Risks, Safety, Ethics, and Legal Considerations
Chapter 4. AI in Direct Clinical Care
Chapter 5. AI in Psychological Assessment, Testing, Diagnostics, and Clinical Decision-Making
Chapter 6. Intelligent Patient Monitoring, Management, and Self-Care
Chapter 7. AI-Assisted Education, Training, and Supervision
Chapter 8. Automated Workflow, Administrative, and Back-Office Assistance
Chapter 9. Research and Program Evaluation Activities
Chapter 10. Further Considerations and Opportunities
References
Glossary
Index
About the Author

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