Principal Findings
psychiatric
This study is the first RCT to report the feasibility, acceptability, and efficacy of an AI-powered platform designed to improve behavioral therapy through data and therapist feedback. With community-based clinics facing longer waitlists of patients presenting with more serious mental health difficulties, this study demonstrates the potential of digital tools to improve access to evidence-based, therapist-led care [Since this study was conducted in a routine behavioral health setting and dovetailed the interventions, procedures, and practices carried out in the clinic, the findings suggest that providing ongoing and timely feedback to therapists through an AI platform improves the quality of behavioral care provided in the field, resulting in meaningful changes in both clinical outcomes (patient retention and psychiatric symptoms) and effect sizes.The results of this RCT suggest that providing therapy-specific AI-derived insights, such as a summary of patient’s concerns described in treatment, routine outcomes, and rate of EBPs provided by the therapist can accelerate the effects of behavioral therapy provided in a community-based clinic. Therapists in both study groups worked in the same community-based clinic and received similar training and ongoing supervision. Hence, findings indicate that community therapists can leverage technology to optimize the behavioral health services they provide. Currently, there are fewer therapists available to treat an increasing number of patients with mental health problems [