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Parents' knowledge, attitudes, and concerns regarding the use of artificial intelligence in pediatric medicine: a
Weam Mohammed1, Kamal Deyab1, Fatimah Alslman1
1Johns Hopkins Aramco Healthcare, AlHafoof, Saudi Arabia.
Insights
Parents show moderate knowledge and cautious acceptance of artificial intelligence (AI) in pediatric care. Addressing concerns about accuracy and privacy is key to building trust for AI adoption in medicine.
Area of Science:
- Pediatric Healthcare
- Medical Informatics
- Artificial Intelligence
Background:
- Artificial intelligence (AI) offers potential improvements in pediatric healthcare diagnostics and treatment.
- Parental acceptance and trust are crucial for the successful integration of AI in pediatric medicine.
Purpose of the Study:
- To assess parental knowledge, attitudes, and concerns regarding AI use in pediatric healthcare.
- To understand parental perspectives on AI's role in diagnosis, efficiency, and cost reduction.
Main Methods:
- A cross-sectional, questionnaire-based study was conducted with 254 parents at Johns Hopkins Aramco Healthcare.
- Data were collected using a 12-item questionnaire distributed via Google Forms and analyzed using SPSS.
Main Results:
- Over half of parents had some knowledge of AI, with 44% supporting its use in pediatrics.
- Parents expect AI to aid diagnosis (57%), reduce clinic visits (43%), and lower costs (22%).
- Key concerns included data errors (58%), lack of transparency (18%), and privacy (17%), with high importance placed on informed consent, autonomy, and accountability.
Conclusions:
- Parents exhibit moderate knowledge and cautious acceptance of AI in pediatric medicine.
- Positive expectations for AI are tempered by concerns regarding accuracy, transparency, privacy, and accountability.
- Education, clear communication, legislation, and physician involvement are essential for fostering trust and adoption of AI in pediatric healthcare.
Background:
Artificial intelligence (AI) is increasingly applied in pediatric healthcare, with the potential to improve diagnostic and treatment accuracy and efficiency. However, parental acceptance and trust are critical for successful implementation. The aim of this study is to assess parents' knowledge, attitudes, and concerns regarding the use of AI in pediatric medicine.
Methods:
A cross-sectional, questionnaire-based study was conducted at Johns Hopkins Aramco Healthcare (JHAH, Southern Area) from 7 to 13 July 2024. Parents of children attending the paediatric outpatient clinics completed a 12-item questionnaire. Data were collected via Google Forms, exported to Excel, and analysed using SPSS.
Results:
A total of 254 parents participated. The majority were mothers (58%), with nearly half aged 31-40 years (48%). Most respondents had at least a secondary education (36.2%) or a university-level education (56%). Over half reported some knowledge of AI. While 44% supported its use in paediatrics (14% strongly), 50% were unsure. Parents expected AI to assist in diagnosis (57%), reduce clinic visits (43%), and lower costs (22%). Regarding consent, 47% would agree to its use. Concerns included errors due to incorrect data (58%), lack of transparency (18%), and privacy concerns (17%). Informed consent, autonomy, and accountability were rated as highly important by most participants.
Conclusion:
Parents in this study demonstrated moderate knowledge and cautious acceptance of AI in pediatric medicine. While expectations of AI are generally positive, concerns about accuracy, transparency, privacy, and accountability underscore the need for education, clear communication, legislation, and continued physician involvement to build trust and facilitate adoption.
Research Registration:
The research is registered with the IRB of Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia, in accordance with the Declaration of Helsinki.
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