TRV-2026-1248Certified recordPeer-reviewed

Artificial Intelligence in Mental Health Care: Implications for Psychiatric Mental Health Nursing-A Scoping Review

AI is increasingly being integrated into mental health support, with applications spanning chatbots, large language models, digital therapeutics and clinical decision-support systems. Although these technologies have demonstrated potential to improve access to care and support clinical practice, their implications for psychiatric mental health nursing (PMHN) remain insufficiently synthesized. This scoping review aimed to examine how AI is being applied in mental health care and to synthesize its implications for…

Health · The Trace — both readings · certified 2026-10-02 · v1 · article view · machine-readable

Current reading — gain

AI-based tools including chatbots and clinical decision-support systems were associated with improved accessibility of mental health support and more efficient risk assessment in psychiatric mental health nursing contexts.

Current reading — problem

Integration of AI into mental health care raised consistent concerns about privacy, algorithmic bias, lack of transparency, and erosion of therapeutic relationships in psychiatric nursing.

What this doesn’t fix

Review is limited to a scoping synthesis of 42 sources from a defined window and notes that implications for psychiatric mental health nursing remain insufficiently synthesized, indicating incomplete evidence base.

Evidence

Reader signal

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Truvace Impact Record TRV-2026-1248, v1: “Artificial Intelligence in Mental Health Care: Implications for Psychiatric Mental Health Nursing-A Scoping Review.” Truvace, 2026-10-02. /record/TRV-2026-1248 (accessed at citation time). sha256 60941ac0d5d703e3…

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