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Evaluation ViewAttendees 18

Clinical Round Table

Technology/Digital Health

Leveraging AI to Enhance CBT Competency in Academic Training settings

Clinical Round Table 5 - Leveraging AI to Enhance CBT Competency in Academic Training Settings

Friday, November 15, 2024
10:30 AM – 12:00 PM EST
Location: Liberty B, Level 3, Downtown Marriott
Earn 1.5 Credit
Keywords: Technology / Mobile Health, Supervision, Education and Training
Recommended Readings: Sheperis, D., & Sadeh-Sharvit, S. (2023). Using AI-supported supervision in a university telemental health training clinic. Journal of Technology in Counselor Education and Supervision, 4 (1), 3. https://doi.org/10.61888/2692-4129.1093,   Pote, H., Rees, A., Holloway-Biddle, C., & Griffith, E. (2021). Workforce challenges in digital health implementation: How are clinical psychology training programmes developing digital competences? Digital Health, 7. https://doi.org/10.1177/2055207620985396,   Peavy, K.M., Klipsch, A., Soma, C.S., Pace, B., Imel, Z. E., Tanana, M. J., ... & Atkins, D. C. (2024). Improving the quality of counseling and clinical supervision in opioid treatment programs: how can technology help? Addiction Science & Clinical Practice, 19(1), 8. https://doi.org/10.1186/s13722-024-00435-z,   ,  
This clinical roundtable will explore the integration of artificial intelligence (AI) technology into cognitive behavioral therapy (CBT) training at the university level. With the rising utilization of cutting-edge technologies in behavioral practice, equipping student therapists with skills by leveraging the benefits of AI is an important development in clinical education of CBT practices. The panelists will present findings from a program evaluation of a university telemental health training clinic that incorporated an AI platform to support measurement-based care, session analytics, and data-driven supervision. AI provided the student clinicians and their supervisors with immediate post-session analytics, including level of adherence to CBT practices. These data allowed supervisors to objectively assess trainees' competencies through metrics identified by AI natural language processing.  The AI-generated session themes also highlighted cultural factors, identity-related concerns, and intersectional experiences that arose in therapy allowing supervisors to provide culturally responsive feedback to trainees on appropriately adapting CBT. The experienced panelists will discuss how the AI integration fostered an enriched, technology-driven training environment aligned with the realities of modern CBT practice. Attendees of this clinical round table will gain insights into the tangible benefits and implementation considerations of adopting AI for CBT training purposes and supervision of novice clinicians making their first steps in the field. 

Learning Objectives:

At the end of this session, the learner will be able to:
  1. Explain AI's role in enhancing culturally responsive CBT delivery and supervision.
  2. Explore benefits and challenges of AI integration in CBT training for measurement-based care and competency development.
  3. Develop an implementation plan for AI integration in CBT training, addressing ethical considerations and teletherapy alignment.
  4. Evaluate how AI-generated session analytics can improve trainees' adherence to CBT principles and their ability to treat diverse clients.
  5. Identify strategies for incorporating AI into ongoing professional development efforts, fostering continuous learning of CBT best practices.