Next Article in Journal
Determining the Development Strategy and Suited Adoption Paths for the Core Competence of Shared Decision-Making Tasks through the SAA-NRM Approach
Next Article in Special Issue
“What Are the Applications for Remote Rehabilitation Management in Cystic Fibrosis?”: A Scoping Review Protocol
Previous Article in Journal
Integrated Patterns of Subjective Job Insecurity: A Multigroup Person-Centered Study
Previous Article in Special Issue
Applications and Current Medico-Legal Challenges of Telemedicine in Ophthalmology
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJERPH
Volume 19
Issue 20
10.3390/ijerph192013311
ijerph-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust

by
Mengting Cheng
,
Xianmiao Li
* and
Jicheng Xu
School of Economic and Management, Anhui University of Science and Technology, Huainan 232001, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(20), 13311; https://doi.org/10.3390/ijerph192013311
Submission received: 14 September 2022 / Revised: 7 October 2022 / Accepted: 12 October 2022 / Published: 15 October 2022
(This article belongs to the Special Issue Enhancement of Public Health Professionals via Signal Processing, Machine Learning, Artificial Intelligence and Bioinformatics)
Browse Figures
Review Reports Versions Notes

Abstract

Artificial intelligence (AI)-assisted diagnosis and treatment could expand the medical scenarios and augment work efficiency and accuracy. However, factors influencing healthcare workers’ adoption intention of AI-assisted diagnosis and treatment are not well-understood. This study conducted a cross-sectional study of 343 dental healthcare workers from tertiary hospitals and secondary hospitals in Anhui Province. The obtained data were analyzed using structural equation modeling. The results showed that performance expectancy and effort expectancy were both positively related to healthcare workers’ adoption intention of AI-assisted diagnosis and treatment. Social influence and human–computer trust, respectively, mediated the relationship between expectancy (performance expectancy and effort expectancy) and healthcare workers’ adoption intention of AI-assisted diagnosis and treatment. Furthermore, social influence and human–computer trust played a chain mediation role between expectancy and healthcare workers’ adoption intention of AI-assisted diagnosis and treatment. Our study provided novel insights into the path mechanism of healthcare workers’ adoption intention of AI-assisted diagnosis and treatment.
Keywords: performance expectancy; effort expectancy; social influence; human–computer trust; adoption intention; healthcare worker; AI-assisted diagnosis and treatment performance expectancy; effort expectancy; social influence; human–computer trust; adoption intention; healthcare worker; AI-assisted diagnosis and treatment

Share and Cite

MDPI and ACS Style

Cheng, M.; Li, X.; Xu, J. Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust. Int. J. Environ. Res. Public Health 2022, 19, 13311. https://doi.org/10.3390/ijerph192013311

AMA Style

Cheng M, Li X, Xu J. Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust. International Journal of Environmental Research and Public Health. 2022; 19(20):13311. https://doi.org/10.3390/ijerph192013311

Chicago/Turabian Style

Cheng, Mengting, Xianmiao Li, and Jicheng Xu. 2022. "Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust" International Journal of Environmental Research and Public Health 19, no. 20: 13311. https://doi.org/10.3390/ijerph192013311

APA Style

Cheng, M., Li, X., & Xu, J. (2022). Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust. International Journal of Environmental Research and Public Health, 19(20), 13311. https://doi.org/10.3390/ijerph192013311

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop