Healthcare professionals satisfaction and AI-based clinical decision support system in public sector hospitals during health crises: a cross-sectional study

Nisar Ahmad (), Shaofu Du (), Fawad Ahmed (), Noor ul Amin () and Xu Yi ()
Additional contact information
Nisar Ahmad: University of Science and Technology of China
Shaofu Du: University of Science and Technology of China
Fawad Ahmed: Entrepreneur College, (Taicang), Xian Jiaotong-Liverpool University
Noor ul Amin: University of Science and Technology of China
Xu Yi: University of Science and Technology of China

Information Technology and Management, 2025, vol. 26, issue 2, No 4, 205-217

Abstract: Abstract The entire world’s focus has shifted to a digital health management system after the COVID-19 pandemic and crisis management through information systems that provide potential health support and minimize the effects of similar healthcare emergencies. Artificial intelligence (AI) can create alternative techniques such as Clinical Decision Support System (CDSS), which can aid complex scenarios such as large volumes of data, information accuracy, patient turnover, and health management regimes. CDSS uses an AI-based health information system that is helpful, fast, effective, and offers advanced techniques in emergencies and pandemics such as COVID-19. Therefore, it is essential to analyze mechanisms that can influence the degree of health care professionals (HCP) satisfaction and intention to adopt CDSS. Based on DeLone and McLean’s information system success model (D&M and ISSM), the researchers recruited 237 on-duty HCP from three major hospitals in Wuhan, China, in 2021. Data is collected through an online survey questionnaire with the consent of the hospital administration. The empirical findings show the strong influence of IS qualities (system, information, and service quality) and user satisfaction. These findings support the foundation for CDSS adoption in developing countries.

Keywords: Clinical decision support system; Healthcare professionals; DeLone and McLean model; Information system service qualities; User satisfaction (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10799-023-00407-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:infotm:v:26:y:2025:i:2:d:10.1007_s10799-023-00407-w

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10799

DOI: 10.1007/s10799-023-00407-w

Access Statistics for this article

Information Technology and Management is currently edited by Raymond Patterson and Erik Rolland

More articles in Information Technology and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().