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

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

  • 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

  • June 2, 2026

  • 0 min

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Objective:

To map practice-based signals arising in clinical encounters with GenAI and characterize implementation priorities based on psychiatrist experiences.

Key Findings:
  • Clinicians' interpretations of GenAI are context-dependent and shaped by psychiatric vulnerability.
  • An implementation gap exists characterized by an access–protection tension.
  • A practice-based approach to horizon scanning can be developed using clinician-reported experiential data.
Interpretation:

Limitations:
  • Limited insight into how frontline encounters with GenAI are interpreted by psychiatrists.
  • Insufficient development of theoretical and methodological foundations in health care foresight.
Conclusion:

The study clarifies patterns in the interpretation and implementation of GenAI in psychiatric practice.

Original Source(s)

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

  • 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

  • June 2, 2026

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