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In the mental health domain, Large Language Models (LLMs) offer promising newopportunities, though their inherent complexity and low controllability haveraised questions about their suitability in clinical settings. We presentMindfulDiary, a mobile journaling app incorporating an LLM to help psychiatricpatients document daily experiences through conversation. Designed incollaboration with mental health professionals (MHPs), MindfulDiary takes astate-based approach to safely comply with the experts' guidelines whilecarrying on free-form conversations. Through a four-week field study involving28 patients with major depressive disorder and five psychiatrists, we foundthat MindfulDiary supported patients in consistently enriching their dailyrecords and helped psychiatrists better empathize with their patients throughan understanding of their thoughts and daily contexts. Drawing on thesefindings, we discuss the implications of leveraging LLMs in the mental healthdomain, bridging the technical feasibility and their integration into clinicalsettings.

MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling