What predicts patients’ satisfaction and continuous use of intelligent medical guidance? the moderating effect of consulting experience

Zhaohua Deng, Ziang Tian, Jiaxin Xue and Sumeet Gupta

Behaviour and Information Technology, 2024, vol. 43, issue 13, 3111-3128

Abstract: Background:Patients’ continuous use of intelligent medical guidance is important for the application of artificial intelligence (AI) in hospitals.Problem/gap:Previous studies mainly focus on the initial adoption while not examining why patients continually use AI-based medical services.Objective/aim:We aim to explore the factors influencing patients’ continuous use of intelligent medical guidance based on the Stimuli-Organism-Response framework.Method:Via online survey data, we used structural equation modelling to test the research model.Results:Our results reveal feature diversity of intelligent medical guidance affect users’ perceived extrinsic and intrinsic value, as well as their impact on their continuous usage intention.Research implications:Our research expands the understanding of medical AI applications and provides theoretical and implicational insights for future development.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2023.2272191 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:43:y:2024:i:13:p:3111-3128

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2023.2272191

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().