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

Applications of AI (260) Generative Language Models Including ChatGPT (651) Machine Learning (2008) Chatbots and Conversational Agents (708) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2040) Tools, Programs and Algorithms (366) Quality/Credibility of eHealth Information and Trust Issues (644) Psychotic Disorders (193) Telepsychiatry (206) Responsible Health AI (38)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69820, first published .
Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation

Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation

Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation

Authors of this article:

Per Niklas Waaler1 Author Orcid Image ;   Musarrat Hussain1 Author Orcid Image ;   Igor Molchanov1 Author Orcid Image ;   Lars Ailo Bongo1 Author Orcid Image ;   Brita Elvevåg2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Boit S, Patil R. A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Design Principles and Insights for AI-Supported Care (Preprint). JMIR Mental Health 2025 View