About this bundle
Artificial intelligence–driven technological advances are increasingly shaping both our daily lives and the way we practice psychology. As clinicians, we are often intrigued by new technologies, but we don’t always have the time to keep up with rapid changes, and many of us have very real and appropriate concerns about client privacy, data security, and ethical use.
This intermediate professional training course provided an accessible, clinically grounded overview of how AI tools were being used in mental health care, with particular attention to applications within private practice. Designed for practitioners who wanted to stay informed without feeling overwhelmed, this training was offered as a three-part series that built a foundational understanding of key applications of AI in mental health care across the following areas of private practice: Office Administration, Case Note Documentation, and Direct Clinical Care.
If you would like to complete an individual session rather than the full series, click “COURSES” and select the session you would like to complete.
Objectives
Session 1: Office Administration
-List three examples of how AI technology is utilized in mental health care
-Identify one key potential benefit and one key potential risk associated with integrating AI into clinical practice for mental health care professionals
-Apply APA Readiness Checklist to evaluate ethical concerns related to data privacy and competence to guide responsible implementation of AI tools in clinical practice
Session 2: Case Note Documentation -
-Identify and explain key ethical concerns related to AI use in clinical practice
-Evaluate potential ethical, legal and risk-management concerns of AI-assisted case note documentation to determine its appropriateness in practice
-Describe the key elements of a thorough informed consent process for the use of AI-assisted case note documentation
Session 3:Direct Clinical Care
-Identify at least three ways AI is currently being utilized in mental health care
-Describe two reasons why mental health providers should develop a foundational understanding of AI and its applications in clinical practice
-Identify two key differences between clinical AI tools and consumer AI tools related to functionality, privacy and confidentiality, ethical considerations, or intended use
Free for ADAA members (Use code - ADAA): ARC Health is pleased to provide ADAA members access to continuing education opportunities at no cost.
Please note: ADAA will confirm the memberships of each registration under this ticket.