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Coconstructing CHAMP, an Artificial Intelligence Chatbot for Pediatric Infectious Symptoms Management: Protocol for a

Jia Lin1,2, Nikhil Jaiswal1,2, Yuanchao Ma1,3

  • 1Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.

JMIR Research Protocols
|May 26, 2026
PubMed

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Summary
This summary is machine-generated.

This study is developing CHAMP, an AI chatbot to help families manage pediatric infections at home. CHAMP aims to provide evidence-based guidance, reduce unnecessary emergency visits, and improve healthcare experiences for children.

Area of Science:

  • Pediatric Health
  • Artificial Intelligence in Healthcare
  • Digital Health Tools

Background:

  • Acute infectious symptoms are a significant cause of pediatric emergency department visits in Canada.
  • Many of these visits are for low-acuity conditions manageable at home.
  • AI chatbots present a viable solution for delivering accessible, evidence-based guidance to families.

Purpose of the Study:

  • To adapt and co-construct CHAMP (CHatbot to Assist the Management of Pediatric patients), an AI chatbot.
  • To support patients and families in managing acute pediatric infectious symptoms.
  • To provide timely, tailored, and validated health information for safe at-home self-management and informed care-seeking.

Main Methods:

  • A multiphase, mixed-methods participatory study at the Montreal Children's Hospital.
Keywords:
artificial intelligencechatbotcoconstructiondigital healthemergency medicinelarge language modelsparticipatory researchpatient engagementpediatric infectionsself-management

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  • Engaging a co-construction committee of youth, parents, caregivers, and partners as co-researchers.
  • Phased approach including needs assessment, knowledge database co-construction, iterative prototyping, equity/accessibility evaluation, and collaborative ethnography.

    • Main Results:

    • Funding secured in 2024; REB approval obtained December 2024.
    • Co-construction committee assembly and Phase 1 recruitment are underway as of December 2025.
    • A functional CHAMP prototype grounded in participatory, equitable, and responsible pediatric AI development will be produced.

    Conclusions:

    • CHAMP aims to support safe at-home self-management of acute infections in children.
    • The chatbot has the potential to reduce preventable emergency department visits.
    • Findings will inform best practices for pediatric-centered AI health tools and improve patient/family healthcare experiences.