Abstract
Background
Family engagement is critical in the implementation of artificial intelligence (AI)-based
clinical decision support tools, which will play an increasing role in health care
in the future. We sought to understand parental perceptions of computer-assisted health
care of children in the emergency department (ED).
Methods
We conducted a population-weighted household panel survey of parents with minor children
in their home in a large US city to evaluate perceptions of the use of computer programs
for the care of children with respiratory illness. We identified demographics associated
with discomfort with AI using survey-weighted logistic regression.
Results
Surveys were completed by 1620 parents (panel response rate = 49.7%). Most respondents
were comfortable with the use of computer programs to determine the need for antibiotics
(77.6%) or bloodwork (76.5%), and to interpret radiographs (77.5%). In multivariable
analysis, Black non-Hispanic parents reported greater discomfort with AI relative
to White non-Hispanic parents (odds ratio [OR] 1.67, 95% confidence interval [CI]
1.03–2.70) as did younger parents (18–25 years) relative to parents ≥46 years (OR
2.48, 95% CI 1.31–4.67). The greatest perceived benefits of computer programs were
finding something a human would miss (64.2%, 95% CI 60.9%–67.4%) and obtaining a more
rapid diagnosis (59.6%; 56.2%–62.9%). Areas of greatest concern were diagnostic errors
(63.0%, 95% CI 59.6%–66.4%), and recommending incorrect treatment (58.9%, 95% CI 55.5%–62.3%).
Conclusions
Parents were generally receptive to computer-assisted management of children with
respiratory illnesses in the ED, though reservations emerged. Black non-Hispanic and
younger parents were more likely to express discomfort about AI.
Keywords
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Article Info
Publication History
Published online: May 13, 2022
Accepted:
May 7,
2022
Received:
March 4,
2022
Publication stage
In Press Journal Pre-ProofFootnotes
The authors have no conflicts of interest relevant to this article to disclose.
Identification
Copyright
Copyright © 2022 by Academic Pediatric Association
