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Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children.
Haley, Lauren C; Boyd, Alexandra K; Hebballi, Nutan B; Reynolds, Eric W; Smith, Keely G; Scully, Peter T; Nguyen, Thao L; Bernstam, Elmer V; Li, Linda T.
Affiliation
  • Haley LC; Department of Pediatric Surgery, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas.
  • Boyd AK; Department of Pediatric Surgery, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas.
  • Hebballi NB; Department of Pediatric Surgery, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas.
  • Reynolds EW; Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas.
  • Smith KG; Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas.
  • Scully PT; Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas.
  • Nguyen TL; Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas.
  • Bernstam EV; Department of Pediatric Surgery, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas; School of Biomedical Informatics, University of Texas at Houston, Houston, Texas.
  • Li LT; Division of Pediatric Surgery, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, New York. Electronic address: Linda.li@mountsinai.org.
J Surg Res ; 295: 158-167, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38016269
ABSTRACT

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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Child, Hospitalized Limits: Child / Humans Language: En Journal: J Surg Res Year: 2024 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Child, Hospitalized Limits: Child / Humans Language: En Journal: J Surg Res Year: 2024 Type: Article