Work

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

Year: 2025

Type: article

Abstract: Introduction: This study examines the drivers behind healthcare professionals' and patients' acceptance of medical AI chat assistants in China. Methods: A nationwide online survey was conducted from March 10 to April 28, 2024, using quota sampling to collect 500 valid responses, and data were analyzed via structural equation modeling. Results: Performance expectancy, perceived cost, digital access, and digital competence all positively predicted intention to use, whereas patient age and consultation frequency-rather than socioeconomic status-directly influenced actual usage behavior. Discussion: 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.

Source: Frontiers in Public Health

DOI: 10.3389/fpubh.2025.1637270

Authors: Lanshan Zhang, Jingyi Yang, Gege Fang

Institution: Beijing University of Posts and Telecommunications

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801