Parental Perceptions on Use of Artificial Intelligence in Pediatric Acute Care

Sriram Ramgopal1, Marie E Heffernan2, Anne Bendelow3

  • 1Division of Emergency Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine (S Ramgopal, TA Florin, ER Alpern, and ML Macy), Chicago, Ill.

Academic Pediatrics
|May 16, 2022
PubMed

Insights

Parents are generally receptive to artificial intelligence (AI) in pediatric emergency care, but some groups, including Black non-Hispanic and younger parents, express more discomfort with AI tools.

Area of Science:

  • Pediatric Emergency Medicine
  • Health Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Family engagement is crucial for integrating artificial intelligence (AI) into clinical decision support.
  • AI tools are projected to become increasingly prevalent in future healthcare settings.
  • Understanding parental perceptions of AI in pediatric emergency care is essential.

Purpose of the Study:

  • To assess parental perceptions of computer-assisted healthcare for children in the emergency department (ED).
  • To identify demographic factors associated with parental discomfort regarding AI in pediatric care.

Main Methods:

  • A population-weighted household panel survey was conducted with parents of minor children in a large US city.
  • The survey focused on perceptions of computer programs for managing pediatric respiratory illness.
  • Survey-weighted logistic regression was used to identify demographic correlates of AI discomfort.

Main Results:

  • 1620 parents completed the survey; most were comfortable with AI for determining antibiotic needs, bloodwork, and interpreting radiographs.
  • Black non-Hispanic parents and younger parents (18-25 years) reported greater discomfort with AI compared to White non-Hispanic and older parents (≥46 years).
  • Key perceived benefits included identifying missed diagnoses and faster diagnosis; primary concerns involved diagnostic errors and incorrect treatment recommendations.

Conclusions:

  • Parents generally accept computer-assisted management for pediatric respiratory illnesses in the ED, with some reservations.
  • Specific demographic groups, notably Black non-Hispanic and younger parents, showed increased apprehension towards AI.
  • Addressing concerns and engaging families are vital for successful AI implementation in pediatric emergency care.
Abstract