Akademik Veri Yönetim Sistemi
Journal of Nursing Management, cilt.2026, sa.1, 2026 (SCI-Expanded, SSCI, Scopus)
Background: The increasing integration of artificial intelligence (AI) into healthcare systems highlights the need to examine parents’ knowledge, attitudes, and concerns, as they play a significant role in decision-making regarding pediatric care. This study aimed to assess parents’ knowledge levels, attitudes, and concerns regarding AI in pediatric healthcare services. Methods: This descriptive and correlational study was conducted with 71 parents between November 2024 and January 2025. Data were collected online by using the Child and Parent Information Form, Information Form for Artificial Intelligence–Based Applications (For Parents), and Artificial Intelligence Anxiety Scale. Participants were recruited via web-based messaging applications using a convenience sampling method. Descriptive statistics and Mann–Whitney U, Kruskal–Wallis, and Spearman correlation tests were applied in the analyses; the significance level was set at p < 0.05. Results: The mean age of parents was 34.6 years, and 63.4% were mothers. Most participants (80.3%) reported insufficient knowledge about AI. The mean score on the AI Anxiety Scale was 113.9 (±30.14), indicating high anxiety levels. Scale scores differed significantly by age, education, employment status, internet health research, attitude toward AI use in hospitals, and trust in AI (p < 0.05). While 60.6% did not support AI use in hospitals, 73.2% had positive attitudes toward AI-supported robots for their children. Conclusion: Parents generally have limited knowledge about AI but high concerns, especially regarding data security and privacy. While attitudes toward AI use in hospitals were cautious, parents showed conditional acceptance of AI-supported applications for children. The findings underscore the importance of educational initiatives to support the safe and ethical use of AI in pediatric healthcare; however, these results should be interpreted with caution due to the relatively small sample size and the use of convenience sampling, which may limit the generalizability of the findings.