TherapyTrainer
Description
Simulation and feedback for training in evidence-based psychotherapies. This technology is intended to allow therapists to have just-in-time support and feedback when learning a new treatment. Problem to be solved: Problems scaling training; there are limited available experts to provide consultation and feedback.
Detailed example
AI consultant will provide feedback and suggestions for how to engage in therapeutic interactions with a simulated patient agent; AI simulated patient will simulate patient behavior in a therapy session; AI fidelity monitor will provide the AI consultant with assessment of therapist skill; AI safety agent will detect whether therapist response to simulated patient risk is appropriate.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
more rapid training and skill acquisition; more therapists available to provide high quality evidence-based care.
Controls / human review
ATO: Not reported; PIA: Not published