A Systematic Review of Pediatric Health Care Chatbots: Current Evidence and Future Perspectives
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By
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Seongwoo Yang
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Ju Hyun Jin
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Seng Chan You
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Min Jung Kim
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Kyung Won Kim
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September 25, 2026
Clinical Report: A Systematic Review of Pediatric Health Care Chatbots
Overview
This systematic review evaluates the current landscape of pediatric health care chatbots, highlighting their increasing prevalence.
Background
The integration of chatbots in pediatric health care is becoming more common as a means to provide support for children and their caregivers. Pediatric applications must navigate unique developmental considerations and the influence of caregivers on health decisions.
Data Highlights
No numerical or trial data provided in the source material.
Key Findings
- Pediatric health care chatbots are less prevalent than those for adults.
- Chatbots can assist in health education, preventive care, and symptom management for children and caregivers.
- Developmental differences in children necessitate varied chatbot designs.
- Caregivers influence health care decisions for children, impacting chatbot design.
- Current policies emphasize safety and ethical considerations in the deployment of AI in pediatric health care.
Clinical Implications
Healthcare professionals should consider the developmental stages of children when integrating chatbots into pediatric care.
Conclusion
Pediatric health care chatbots require tailored designs to address the unique needs of children and their caregivers.
Related Resources & Content
- Palanica A, Flaschner P, Thommandram A, et al., J Med Internet Res, 2019 -- Physicians' perceptions of chatbots in health care: cross-sectional web-based survey
- Hawke LD, Hou J, Nguyen ATP, et al., JMIR Ment Health, 2025 -- Digital conversational agents for the mental health of treatment-seeking youth: scoping review
- Laymouna M, Ma Y, Lessard D, et al., J Med Internet Res, 2024 -- Roles, users, benefits, and limitations of chatbots in health care: rapid review
- American Academy of Pediatrics, Pediatrics, 2025 -- Digital Ecosystems, Children, and Adolescents: Policy Statement
- Journal of Medical Internet Research (JMIR) — Factors Shaping Trust and Satisfaction With AI Medical Chatbots: A Mixed Methods Vignette Survey of Caregivers Seeking Guidance on Pediatric Infectious Diseases
- Frontiers in Digital Health — Exploring the Role of Chatbots in Mental Health Interventions: A Comprehensive Review of Systematic Reviews and Meta-Analyses
- Frontiers in Digital Health — Chatbots as Frontline Educators in Sexual Reproductive Health Rights: Evidence, Limitations, and Ethical Considerations
- JAMA Pediatrics — A Call for Expedited Research on AI Chatbots
- Exploring the Role of Chatbots in Mental Health Interventions
- Chatbots as Frontline Educators in Sexual Reproductive Health Rights
- Digital Ecosystems, Children, and Adolescents: Policy Statement | Pediatrics | American Academy of Pediatrics
- Policy Statement on the Role of AI in the Delivery of Child and Adolescent Mental Health Care
- Position Statement on the Use of Artificial Intelligence for Mental Health Services and Treatment
- Clinical Decision Support Software | FDA
- Guardrails are needed to prevent the use of these chatbots in some cases, or identify and stop interactions based on risky content and behaviour, and redirect children who disclose risk of harm to support resources. In short, there should be built-in referrals for children who may need professional and/or emergency services. Such AI systems should be subject to child safety laws,67 and any AI system that manipulates or persuades children (unless for lawful practices in the context of medical treatment) must be prohibited – as in the EU.68
- Statement – Govern AI in health before the gaps become irreversible
- Evidence and Future Directions for Pediatric Health Care Chatbots: Systematic Review.
- AI Chatbot Use and Disclosure for Mental Health Among US Adolescents and Young Adults | Adolescent Medicine | JAMA Pediatrics | JAMA Network
- Rule-based chatbot application for adolescents with anxiety: a feasibility study - ScienceDirect
- A Pilot Study to Evaluate Artificial Intelligence-Driven Early Retrieval of Medical Histories in the Emergency Department - ScienceDirect
Based on findings from:
Evidence and Future Directions for Pediatric Health Care Chatbots: Systematic Review
Seongwoo Yang, Ju Hyun Jin, Seng Chan You, Min Jung Kim, Kyung Won Kim. Journal Of Medical Internet Research, 2026.
https://www.jmir.org/2026/1/e98432
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.