MIA delivers AI-Applied expertise for personalised mental health care — supporting assessment, triage, care planning and coordination — leveraging two decades of clinical research to increase access to high quality care.
Request PilotDeveloped by UNCAPT in partnership with the Brain and Mind Centre
Australia's mental health system struggles to deliver timely, reliable, and personalised care.
MIA adapts to both clinical and consumer contexts.
MIA acts as an intelligent clinical assistant, guiding specialised assessment, scoring, and documentation while preserving clinical autonomy.
Clinical autonomy preserved: MIA suggests, clinicians decide. — Dr. Frank Iorfino, Associate Professor at the University of Sydney
Currently in active research with the University of Sydney, this direct-to-consumer pathway will use conversational AI to guide individuals through self-assessment — supporting informed help-seeking while maintaining pathways to professional care.
Interested in participating? Register for the research program →
Review patient background. Activate MIA system.
Natural conversation. Ambient capture.
Smart prompts for gaps. Real-time domain tracking.
AI-generated scores. Clinician override option.
Auto-generated notes. Referral pathways.
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Brain and Mind Centre Framework
MIA ingests sequential audio chunks to build live context. It doesn't just transcribe; it audits session coverage in real-time, nudging clinicians to ask critical questions they might have missed.
Real-time confidence scoring across the Brain and Mind Centre multidimensional framework for youth mental health. Know exactly when you have enough data for a high quality decision.
MIA reasons over session data to pre-fill complex questionnaires (like PHQ9 & GAD7), reducing patient burden from "comprehensive assessment" to "targeted verification."
Transforms client context into individualised, editable Care Plans. Maps directly to the Brain and Mind Centre Knowledge Bank to generate evidence-based recommendations. Keeps the clinician in the loop while removing the blank page problem.
Transforming quality, efficiency, and access at scale.
Standardised assessment and scoring across all care settings.
Redirecting clinician time from admin to direct patient care.
Breaking down barriers to timely, appropriate care.
Compliance & Security
MIA is designed to meet the highest standards of data privacy, information security, and regulatory compliance.
Internationally recognised standard for managing information security risks systematically.
Compliant with Australia's Privacy Act 1988 and the 13 Australian Privacy Principles governing health data.
Benchmarked on clinical accuracy across formal and colloquial language.
MIA performs comparably to documented inter-clinician reliability benchmarks.
Context: 69% exact agreement is notable because clinicians themselves often agree at similar rates on complex mental health assessments. DSM field trials report inter-clinician agreement (kappa) of just 0.20–0.28 for common conditions. MIA's 95% agreement within the top two clinician choices demonstrates strong clinical alignment across the assessment spectrum.
Iorfino et al. evaluation across clinical scenarios.
| Evaluation Criteria | Clinical | Colloquial |
|---|---|---|
| Correct phenomenon identified | 93% | 93% |
| Main features in summary | 100% | 93% |
| Red herrings in summary | 0% | 0% |
| Features in treatment plan | 100% | 100% |
MIA's "Intelligence Layer" architecture has been technically validated against the BMC multidimensional framework for youth mental health — confirming the system can reliably automate assessment, scoring, and documentation with clinician oversight.