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Parents' Perspectives on Artificial Intelligence-Supported Pediatric Healthcare Services: A Descriptive and
Bengisu Akoglu1, Aysegul Simsek2
1Department of Nursing, Faculty of Health Sciences, Istanbul Gelisim University, Istanbul, Turkey, gelisim.edu.tr.
Insights
Parents show limited knowledge of artificial intelligence (AI) in pediatric care but express high anxiety. While cautious about AI in hospitals, they conditionally accept AI-supported tools for children, highlighting the need for education.
Area of Science:
- Pediatric Healthcare Technology
- Artificial Intelligence in Medicine
- Parental Decision-Making
Background:
- Growing integration of artificial intelligence (AI) in healthcare necessitates understanding parental perspectives on its use in pediatric care.
- Parents significantly influence decisions regarding children's healthcare, making their knowledge, attitudes, and concerns crucial.
Purpose of the Study:
- To assess parents' knowledge levels regarding AI in pediatric healthcare services.
- To evaluate parental attitudes towards AI applications in pediatric settings.
- To identify parental concerns associated with AI implementation in child healthcare.
Main Methods:
- A descriptive and correlational study involving 71 parents conducted between November 2024 and January 2025.
- Online data collection using validated questionnaires including the Artificial Intelligence Anxiety Scale.
- Convenience sampling via web-based messaging applications; data analyzed using descriptive statistics and non-parametric tests (p < 0.05).
Main Results:
- A majority of parents (80.3%) reported insufficient knowledge about AI in healthcare.
- High levels of anxiety were observed, with a mean AI Anxiety Scale score of 113.9 (±30.14).
- Parental attitudes varied: 60.6% opposed AI in hospitals, yet 73.2% favored AI-supported robots for children; anxiety scores correlated with age, education, and trust.
Conclusions:
- Parents possess limited AI knowledge but significant concerns, particularly regarding data security and privacy in pediatric AI applications.
- Cautious attitudes toward AI in hospitals contrast with conditional acceptance of AI tools for children.
- Educational initiatives are vital for promoting safe and ethical AI adoption in pediatric care, though findings require cautious interpretation due to sample limitations.
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.
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