Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare

Bibliographic Data

ID15716132
AuthorsBryan A Sisk (0000-0002-2456-2476, Washington University in St. Louis, corresponding author), Alison L Antes (0000-0002-2632-7701, Washington University in St. Louis), Sara Burrous (Washington University in St. Louis), James M Dubois (0000-0002-3712-7051, Washington University in St. Louis)
Year2020
Volume7
Issue9
Pages145-145
Publication date2020-09-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueChildren (JOURNAL)
Journal identifiersISSN: 2227-9067 • E-ISSN: 2227-9067
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/children7090145
PMID32962204
OpenAlexW3089318560
LanguageEN
Citations received5
References cited51

Precision medicine relies upon artificial intelligence (AI)-driven technologies that raise ethical and practical concerns. In this study, we developed and validated a measure of parental openness and concerns with AI-driven technologies in their child's healthcare. In this cross-sectional survey, we enrolled parents of children n = 418) and confirmatory ( n = 386) factor analysis. We developed a 12-item measure of parental openness to AI-driven technologies, and a 33-item measure identifying concerns that parents found important when considering these technologies. We also evaluated associations between openness and attitudes, beliefs, personality traits, and demographics. Parents ( N = 804) reported mean openness to AI-driven technologies of M = 3.4/5, SD = 0.9. We identified seven concerns that parents considered important when evaluating these technologies: quality/accuracy, privacy, shared decision making, convenience, cost, human element of care, and social justice. In multivariable linear regression, parental openness was positively associated with quality (beta = 0.23), convenience (beta = 0.16), and cost (beta = 0.11), as well as faith in technology (beta = 0.23) and trust in health information systems (beta = 0.12). Parental openness was negatively associated with the perceived importance of shared decision making (beta = -0.16) and being female (beta = -0.12). Developers might support parental openness by addressing these concerns during the development and implementation of novel AI-driven technologies

Big Five personality traits · Health care · Openness to experience · Personality · Political science · Artificial Intelligence in Healthcare and Education · Ethics in Clinical Research · Patient-Provider Communication in Healthcare · Psychology · Social Psychology

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