Parenting Journal · Volume 2 · Issue 5 · Licensed source edition
Self-reported understanding and attitudes of healthcare workers and caregivers toward artificial intelligence in pediatric healthcare in a children’s hospital in China: a cross-sectional study
Originally published 2026-10-14 · Frontiers in Public Health
Frontiers Media SA · DOI 10.3389/fpubh.2026.1951776 ↗
AI / system type
General-purpose generative AI/LLM perceptions
Direct parenting evidenceDirectly addresses parents or caregiving, including parent studies, syntheses and audits of parenting advice.
The AI connection
The methods define AI mainly as ChatGPT, DeepSeek, Kimi, and Doubao conversational generative tools, rather than imaging algorithms.
Why this reading matters
Provides direct caregiver evidence that greater confidence does not necessarily accompany greater understanding.
Editorial reading guide · Trust
Does feeling comfortable with an AI answer mean we understand its limits?
Caregivers reported more trust in AI-assisted decisions despite lower self-rated understanding than staff. Both groups largely rejected replacement of pediatric professionals, making confidence calibration more useful than a simple acceptance score.
Study context
The Fujian children’s hospital survey included 159 primary caregivers and 102 healthcare workers during January–June 2026.
Age / stage: Pediatric care; child ages not specified
Read with three questions
- How did caregiver trust differ from staff risk awareness?
- Which results concern self-rated knowledge rather than tested competence?
- What explanations would help a family retain responsibility alongside clinicians?
Keep the limits in view
This was a voluntary single-center survey using a self-developed instrument without formal psychometric validation. Cross-sectional differences cannot establish whether knowledge causes trust or predict behavior during real decisions.
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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.
Si-Yu Chen; Li Yang; Qi-Gang Ding; Dong-Xin Huang; Qiu-Yu Tang; Xue Kong (2026). Self-reported understanding and attitudes of healthcare workers and caregivers toward artificial intelligence in pediatric healthcare in a children’s hospital in China: a cross-sectional study Frontiers in Public Health. https://doi.org/10.3389/fpubh.2026.1951776
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.