Akademik Veri Yönetim Sistemi
PEDIATRIC CARDIOLOGY, 2025 (SCI-Expanded, Scopus)
This letter comments on a recent study that explored the use of an artificial intelligence language model to generate educational materials for parents of children undergoing cardiac catheterization. The study demonstrated improved understanding and satisfaction among parents after reading the ChatGPT-produced information sheets. While the use of language models in patient education represents an innovative and promising approach, several methodological aspects merit attention. The lack of a control group makes it difficult to determine whether the improvement in understanding was specific to ChatGPT or could have been achieved through other written materials. Additionally, the use of parametric analysis on ordinal Likert data may limit the validity of statistical inferences. Despite these limitations, the study contributes valuable insight into how artificial intelligence can enhance the accessibility and efficiency of patient education. Creating readable materials aligned with the educational level of patients or caregivers has been shown to support better comprehension and engagement. Future research using controlled designs and appropriate statistical methods will help clarify the specific benefits of AI-generated educational tools and further advance their role in patient-centered communication.