Mapping Practice-Based Signals of Generative AI in Psychiatric Care: Qualitative Study of Korean Psychiatrists’ Experiences, Interpretations, and Implementation Priorities - Report - MDSpire
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Mapping Practice-Based Signals of Generative AI in Psychiatric Care: Qualitative Study of Korean Psychiatrists’ Experiences, Interpretations, and Implementation Priorities
Clinical Report: Exploring the Integration of Generative AI in Psychiatric Practice
Overview
This report examines the integration of generative AI in psychiatric practice, highlighting insights from Korean psychiatrists regarding their experiences and implementation strategies.
Background
Generative AI is increasingly becoming part of psychiatric practice, influencing how patients seek help and how clinicians document care. The integration of AI tools raises questions about safety and oversight.
Data Highlights
No numerical or trial data provided in the source material.
Key Findings
Korean psychiatrists view GenAI as useful for documentation and efficiency but are cautious about its role in psychotherapy.
Concerns exist regarding GenAI's potential to reinforce delusions or inadequately respond to high-risk scenarios.
Prolonged use of AI chatbots may lead to dependence-like patterns and psychosocial deterioration in vulnerable users.
There is a need for governance and oversight to ensure the safe integration of GenAI in psychiatric settings.
Psychiatrists expect GenAI to affect the therapeutic relationship in both supportive and disruptive ways.
Clinical Implications
Clinicians should be aware of the dual nature of GenAI's impact on care, balancing its efficiency benefits with the need for careful oversight. Ongoing training and awareness of the risks associated with AI tools are essential for maintaining patient safety and care quality.
Conclusion
Understanding these dynamics is essential for effective implementation in clinical settings.
by Myungsung Kim, Yoosuk An, Min Jeon, Yunji Lee, Orane Farrah Lahcine, Hyorim Kim, Seonmi Lee, Sangil Lee, Jong-Chul Yang, Sang-Won Jeon, Dooyoung Jung, Chul-Hyun Cho
