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March 20, 2026Critical Care ExplorationsOpen Access

Feasibility of a Large Language Model Chatbot to Support Parental Understanding in the PICU

R. Brandon Hunter Satid Thammasitboon Sreya S. Rahman Sriya Kakarla Pamela Petersen Shelley Kumar Thomas Rappold Sanjiv Mehta

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Key Points

To assess the feasibility of an LLM-based chatbot for addressing parental questions in the PICU and prepare for a future RCT.
Conducted a single-arm feasibility study
Engaged 14 parents in 10-minute sessions with a GPT-4o chatbot
Assessed parental engagement, satisfaction, provider perceptions, accuracy, and recruitment metrics
87.5% recruitment rate with 14 out of 16 eligible parents enrolled
Parents expressed high satisfaction (96% positive ratings and a median score of 5.0/6.0)
99.3% accuracy rate in chatbot-generated responses with minor errors
Healthcare providers rated response quality highly (median score of 5.0/6.0)

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Implication

Prospective feasibility study evaluates parental engagement and satisfaction with an LLM chatbot in the PICU, suggesting future trial viability.

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Cite This Study

Hunter et al. (2026) studied this question.

synapsesocial.com/papers/69bf898bf665edcd009e93ab https://doi.org/10.1097/cce.0000000000001378

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