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

Theory and Frameworks in Mental Health (44) Artificial Intelligence (2315) Innovations in Mental Health Systems (508) Chatbots and Conversational Agents (778) Machine Learning (2212) Responsible Health AI (79) AI-Powered Therapy Bots and Virtual Companions in Digital Mental Health (33) Generative Language Models Including ChatGPT (790) Ethics, Privacy, and Legal Issues (650)

Published on in Vol 12 (2025)

This is a member publication of

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75078, first published .
A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework

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

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

Authors of this article:

Sorio Boit1 Author Orcid Image ;   Rajvardhan Patil1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Karampinis E, Zoumpourli C, Kontogianni C, Arkoumanis T, Koumaki D, Mantzaris D, Filippakis K, Papadopoulou M, Theofili M, Enechukwu N, Ouédraogo N, Katoulis A, Zafiriou E, Sgouros D. Dermatology “AI Babylon”: Cross-Language Evaluation of AI-Crafted Dermatology Descriptions. Medicina 2026;62(1):227 View
  2. Wang Z, Li X, Ma C, Zhang Z. Challenges of using generative AI for patient education in chronic heart failure: an evaluation of content quality, readability, and actionability in cross-platform LLM-generated texts. Frontiers in Public Health 2026;14 View