A Comparative Evaluation of ChatGPT and Google Search Output for Caregiver Education in Tetralogy of Fallot
Introduction Caregivers of children with tetralogy of Fallot (TOF) frequently seek medical information online to better understand their child's diagnosis, treatment, and long-term care. Recently, generative artificial intelligence (AI) tools, including Google AI Overview and ChatGPT, have emerged as widely accessible sources of health information. However, the quality, readability, and accuracy of these platforms for caregiver education in congenital heart disease remain poorly characterized. Methods Forty freq…
Under the study's prompting conditions, ChatGPT-5.5 answers to caregiver questions about tetralogy of Fallot received higher reviewer-rated accuracy and modified EQIP educational quality scores than Google search output.
ChatGPT-5.5 responses were longer and had higher calculated reading-grade levels than Google search output, which may make them harder for caregivers to read.
The authors state the findings do not establish improved caregiver comprehension, because comprehension was not directly assessed, and the results apply only under the study's specific prompting conditions.
Evidence
- Peer-reviewedCardiology and Therapy2026-10-07
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Truvace Impact Record TRV-2026-1750, v1: “A Comparative Evaluation of ChatGPT and Google Search Output for Caregiver Education in Tetralogy of Fallot.” Truvace, 2026-10-17. /record/TRV-2026-1750 (accessed at citation time). sha256 9faa256f071a24fb…
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