Mapping Practice-Based Signals of Generative AI in Psychiatric Care: Qualitative Study of Korean Psychiatrists’ Experiences, Interpretations, and Implementation Priorities

Category	Detail
Condition
Key Mechanisms	Patient-facing conversational tools, self-help applications, clinician-facing workflow support (ensure sourced).
Target Population
Care Setting

Generative AI is becoming embedded in psychiatric systems (ensure sourced).
Clinicians view AI as useful for documentation and efficiency, but are cautious about its use in psychotherapy (ensure sourced).
Concerns exist regarding AI's potential to reinforce delusion-like beliefs and inadequate responses to high-risk scenarios (ensure sourced).
Prolonged use of AI chatbots may lead to dependence-like patterns and psychosocial deterioration (ensure sourced).
The integration of AI in psychiatry requires careful consideration of contextual judgment and relational attunement (ensure sourced).

Implement AI with oversight to ensure safety and accountability (ensure sourced).

Monitor for signs of dependence and psychosocial impacts in users (ensure sourced).

Address potential reinforcement of distorted beliefs and inadequate crisis responses (ensure sourced).

AI-based support may be attractive due to stigma and structural barriers in accessing care (ensure sourced).

Ensure governance and transparency in AI deployment (ensure sourced).
Adopt a practice-based approach to horizon scanning for early signs of benefit or harm (ensure sourced).
Integrate clinician-reported experiential data into implementation strategies (ensure sourced).

Clinical Scorecard: Exploring the Integration of Generative AI in Psychiatric Practice: Insights from Korean Psychiatrists on Their Experiences and Implementation Strategies