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Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children
Lauren C Haley1, Alexandra K Boyd1, Nutan B Hebballi1
1Department of Pediatric Surgery, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas.
Insights
Parents are generally supportive of artificial intelligence (AI) in pediatric healthcare. However, parents of children in intensive care units (ICUs) show significantly different attitudes toward AI in medicine, warranting further investigation.
Area of Science:
- Pediatric Healthcare
- Medical Artificial Intelligence
- Bioethics
Background:
- Artificial intelligence (AI) presents potential benefits for pediatric healthcare but also raises ethical and practical concerns.
- Parental acceptance is crucial for advancing AI in pediatric medicine.
- Limited research exists on parental attitudes toward AI in pediatric healthcare, particularly concerning hospitalized children.
Purpose of the Study:
- To assess parental attitudes toward the use of artificial intelligence (AI) in pediatric healthcare.
- To identify specific areas of concern and factors influencing parental acceptance of AI in pediatric medicine.
- To compare attitudes between parents of children admitted to the intensive care unit (ICU) and those not admitted.
Main Methods:
- A validated survey, Attitudes toward Artificial Intelligence in Pediatric Healthcare, was administered to parents of hospitalized children.
- Data were collected from 76 parents at a single tertiary children's hospital between November 2021 and May 2022.
- Subgroup analyses used Mann-Whitney U tests to examine the impact of demographics and clinical factors on AI attitudes.
Main Results:
- The study achieved an 84% response rate (76 out of 90 approached parents).
- Overall, parents expressed openness to AI in pediatric medicine, with social justice, convenience, privacy, and shared decision-making as key concerns.
- Parents of children admitted to the ICU demonstrated significantly different attitudes toward AI compared to other parents.
Conclusions:
- Parents are generally supportive of AI-assisted healthcare decision-making.
- Further research is needed to understand the distinct attitudes of parents with children in the ICU.
- Establishing clear pathways for transparency and disclosure is essential to meet parental expectations regarding AI in healthcare.
Introduction:
Artificial intelligence (AI) may benefit pediatric healthcare, but it also raises ethical and pragmatic questions. Parental support is important for the advancement of AI in pediatric medicine. However, there is little literature describing parental attitudes toward AI in pediatric healthcare, and existing studies do not represent parents of hospitalized children well.
Methods:
We administered the Attitudes toward Artificial Intelligence in Pediatric Healthcare, a validated survey, to parents of hospitalized children in a single tertiary children's hospital. Surveys were administered by trained study personnel (11/2/2021-5/1/2022). Demographic data were collected. An Attitudes toward Artificial Intelligence in Pediatric Healthcare score, assessing openness toward AI-assisted medicine, was calculated for seven areas of concern. Subgroup analyses were conducted using Mann-Whitney U tests to assess the effect of race, gender, education, insurance, length of stay, and intensive care unit (ICU) admission on AI use.
Results:
We approached 90 parents and conducted 76 surveys for a response rate of 84%. Overall, parents were open to the use of AI in pediatric medicine. Social justice, convenience, privacy, and shared decision-making were important concerns. Parents of children admitted to an ICU expressed the most significantly different attitudes compared to parents of children not admitted to an ICU.
Conclusions:
Parents were overall supportive of AI-assisted healthcare decision-making. In particular, parents of children admitted to ICU have significantly different attitudes, and further study is needed to characterize these differences. Parents value transparency and disclosure pathways should be developed to support this expectation.
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