Icon Legend

This session is not in your schedule.

This session is in your schedule. Click again to remove it.

Presentation Icons

Recorded Session

Ticketed Session

24 Views

ViewAttendees 1

Symposium

Artificial Intelligence and Technology-based Interventions

Responsible Innovation: Using AI Resources to Advance Therapist Training and Parenting Interventions

1 - (SYM 27) Advancing Training in CBT: Ai-supported Learning in Clinical Practicum

Friday, June 26, 2026

11:06 AM - 11:27 AM PDT

Location: Yerba Buena Salon 10, B3 Level

Keywords: Implementation, Technology / Mobile Health, Education and Training - Graduate

Speaker(s)

Ana Zdravkovic, Ph.D. (she/her/hers)

Research Training Director
Kaiser Permanente Northern California Mental Health Training Program
Walnut Creek, California, United States
Ren Hong, Ph.D.

Clinical Psychologist Supervisor and Technology Lead
Kaiser Permanente
Vallejo, California, United States

Abstract Body
The Kaiser Permanente Mental Health Training Program (MHTP) is using AI to enhance the training experience. We are using a platform that offers a sandbox-style space for trainees to both learn and practice clinical interventions within different clinical frameworks. Tanana et al. (2019) examined how AI can be used to assist psychotherapists-in-training by recognizing open-ended questions, reflections, and practicing other skills. Areas of focus in our application of AI training encompass evidence-based practices such as cognitive behavioral therapy, dialectical behavioral therapy, as well as other key clinical interventions such as suicide risk assessment and child well-being. Trainees engage in focused therapy learnings then practice the interventions with a virtual patient in the AI platform. They are provided with feedback about their use of the specific skill and given the opportunity to practice again. Currently, this training modality is being provided to practicum-level Social Work, and Marriage and Family Therapy graduate students. MHTP also integrates the AI-enhanced platform as a supplemental tool for case vignette discussion and live practice in our ongoing didactic series. Since implementing this training experience last year, we have been gathering feedback from practicum students about their experience and perceived utility of AI training (N = 40). At the end of each week and when they complete this set of training, they are asked to rate on a likert scale their improved understanding and perceived utility. We plan to report on those results at the time of the presentation. By utilizing AI to help identify themes and organizing theoretical frameworks (Imel et al., 2015, Imel et al., 2017, Imel et al. 2019), we look to sharpen our training delivery in a more thoughtful and streamlined way.