Factors influencing the acceptance of medical AI chat assistants among healthcare professionals and patients: a survey-based study in China

Findings validate an extended UTAUT model in digital-health contexts, highlight cultural moderators of technology acceptance, and inform age-friendly AI design and equitable health-informatization policies in aging societies.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-09-04
DOI
https://doi.org/10.3389/fpubh.2025.1637270
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
Controls
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article

Factors influencing the acceptance of medical AI chat assistants among healthcare professionals and patients: a survey-based study in China

Lanshan Zhang, Gege Fang, Jingyi Yang
1 citations
Frontiers in Public Health
AI in Service Interactions
2.48
article

Factors influencing the acceptance of medical AI chat assistants among healthcare professionals and patients: a survey-based study in China

Lanshan Zhang, Gege Fang, Jingyi Yang
article en
1 citations

Abstract

Findings validate an extended UTAUT model in digital-health contexts, highlight cultural moderators of technology acceptance, and inform age-friendly AI design and equitable health-informatization policies in aging societies.

Frontiers in Public HealthVol. 13
Beijing University of Posts and Telecommunications (CN), China Internet Network Information Center (CN)
Openalex Percentile: Top 9%
AI in Service Interactions
2.48
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