A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework

The framework offers a practical foundation for the responsible development of LLM-based mental health support. By outlining a layered architecture and aligning it with established evaluation standards, this work offers guidance for developing AI tools that are technically capable, safe, effective, and ethically sound. Future research should prioritize empirical validation of the framework through the phased, comparative approach introduced in this paper.

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Publication Details

Journal
JMIR Mental Health
Published
2025-09-26
DOI
https://doi.org/10.2196/75078
Citations
4
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
6.18
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article

A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework

Rajvardhan Patil, Sorio Boit
4 citations
JMIR Mental Health
Digital Mental Health Interventions
6.18
article

A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework

Rajvardhan Patil, Sorio Boit
article en
4 citations

Abstract

The framework offers a practical foundation for the responsible development of LLM-based mental health support. By outlining a layered architecture and aligning it with established evaluation standards, this work offers guidance for developing AI tools that are technically capable, safe, effective, and ethically sound. Future research should prioritize empirical validation of the framework through the phased, comparative approach introduced in this paper.

JMIR Mental HealthVol. 12
Grand Valley State University (US)
Openalex Percentile: Top 3%
Digital Mental Health Interventions
6.18
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