AI Research
Clinician-Grounded Quality Assurance for AI-Assisted Psychiatric Intake
Establishing standardized quality assurance protocols for AI-driven psychiatric intake systems.
Before patients can use AI-assisted psychiatric intake systems, health systems need practical ways to routinely evaluate these tools against their clinical standards for quality assurance. Because clinicians may use different intake styles, evaluation for this task must (1) suppo...
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ArXiv CS.AI
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ArXiv CS.AI
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Bridging the gap between AI diagnostic outputs and clinical psychiatric standards is essential for building trust in automated patient intake. Implementing clinician-grounded quality assurance ensures that AI tools act as reliable partners rather than potential liabilities in sensitive mental health care.
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