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Advanced AI Training for Mental Health Professionals and Students

via OpenLearning

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Details

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Provider

OpenLearning
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Sessions

Self-Paced
Level

Advanced

Found in

Overview

Master AI & Machine Learning for 50% Off

Go under the hood of AI — neural networks, real-world applications & more. Designed by UNSW experts.

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This advanced course trains mental health professionals and students to critically evaluate and safely implement AI in psychiatric assessment, therapy, risk assessment, billing, and clinical governance. Learners apply five clinical frameworks through branching practice scenarios and supervised placement contexts.

Syllabus

Apply the VERIFY-MH framework to critically evaluate AI-generated diagnostic suggestions before incorporating them into clinical formulations, and document AI-assisted psychiatric assessment to a 4-element medico-legal standard.
Apply the ALLIANCE-AI framework to assess whether a patient's chatbot or companion use poses a therapeutic risk, and implement the consent, confidentiality, and documentation obligations specific to AI scribes used in therapy sessions.
Apply the SAFE-MH framework to AI-generated risk scores, conduct an independent structured clinical risk assessment regardless of AI output, and document both the AI score and clinical reasoning to a medico-legal standard.
Apply the ETHICS-MH framework to evaluate an AI tool before deploying it in mental health practice, and draft an AI-specific consent statement that meets therapeutic, ethical, and Australian Privacy Act obligations.
Verify AI-generated MBS billing codes for mental health consultations before submission, identify patient safety risks in automated triage, and apply clinical governance principles to AI platforms used across the mental health practice.
Demonstrate integrated application of all five clinical frameworks across six sequential branching clinical encounters in a mental health practice scenario, achieving a minimum 70% threshold to qualify for the Certificate of Completion.
Apply VERIFY-MH, SAFE-MH, ALLIANCE-AI, and ETHICS-MH in supervised clinical placement contexts, navigate graduate AI traps with professional courage, and articulate AI literacy competencies confidently in a graduate mental health interview.