Parenting Journal · Volume 3 · Issue 1 · Licensed source edition
Feasibility of a Large Language Model Chatbot to Support Parental Understanding in the PICU
Originally published 2026-03-20 · Critical Care Explorations
Wolters Kluwer Health · DOI 10.1097/CCE.0000000000001378 ↗
AI / system type
Generative AI/LLM; GPT-4o with patient-specific EHR context
Direct parenting evidenceDirectly addresses parents or caregiving, including parent studies, syntheses and audits of parenting advice.
The AI connection
An EHR-informed GPT-4o chatbot answered parental PICU questions in brief sessions.
Why this reading matters
Uses actual parent questions and provider review rather than a benchmark alone.
Editorial reading guide · Collaboration
How could an AI explanation help me ask my child’s care team clearer questions?
Maps to Collaboration by supporting parental questions within a clinical team’s information environment.
Study context
14 parents at a quaternary pediatric intensive-care unit
Age / stage: Parents of PICU patients; pediatric ages vary
Read with three questions
- What patient-specific information was supplied to the GPT-4o chatbot?
- How were generated sentences reviewed for errors?
- Why do ten-minute satisfaction ratings not establish clinical benefit?
Keep the limits in view
Single site, 14 parents, short encounters and no comparison group; audited sentence accuracy is context-specific and does not guarantee safe unsupervised use or improved understanding.
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Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.
R. Brandon Hunter; Satid Thammasitboon; Sreya Rahman; Sriya Kakarla; Pamela Petersen; Shelley Kumar; Thomas Rappold; Sanjiv Mehta (2026). Feasibility of a Large Language Model Chatbot to Support Parental Understanding in the PICU Critical Care Explorations. https://doi.org/10.1097/CCE.0000000000001378
Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.