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This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (2413) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3112) Natural Language Processing (1240) Decision Support for Health Professionals (2147) Intentional Self-Harm (185) Artificial Intelligence (4586) Generative Language Models Including ChatGPT (1442)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79010, first published .
Doctor and patient looking at laptop screen during medical consultation

Automated Safety Plan Scoring in Outpatient Mental Health Settings Using Large Language Models: Exploratory Study

Automated Safety Plan Scoring in Outpatient Mental Health Settings Using Large Language Models: Exploratory Study

Authors of this article:

Hayoung K Donnelly1, 2 Author Orcid Image ;   Gregory K Brown1 Author Orcid Image ;   Kelly L Green1 Author Orcid Image ;   Ugurcan Vurgun2 Author Orcid Image ;   Sy Hwang2 Author Orcid Image ;   Emily Schriver2, 3 Author Orcid Image ;   Michael Steinberg1 Author Orcid Image ;   Megan E Reilly1 Author Orcid Image ;   Haitisha Mehta4 Author Orcid Image ;   Christa Labouliere4 Author Orcid Image ;   Maria A Oquendo1 Author Orcid Image ;   David Mandell1 Author Orcid Image ;   Danielle L Mowery2, 5 Author Orcid Image
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Journals

  1. Sawesi S, Sabbineni H, Shagamreddy R, Rashrash B. Cybersecurity and Privacy Risks of Generative AI Mental-Health Chatbots: A Systematic Review and Regulatory Framework. Journal of Multidisciplinary Healthcare 2026;Volume 19:1 View
  2. Ye J, Shen Z, Li B, Yan W. A generative two-stage semantic intermediary framework for explainable mental health early warning in higher education. Frontiers in Psychiatry 2026;17 View