The Reasons for Physicians and Pharmacists’ Acceptance of Clinical Support Systems in Saudi Arabia

Abstract

This research aims to identify the technological and non-technological factors influencing user acceptance of the CDSS in a group of healthcare facilities in Saudi Arabia. The study proposes an integrated model that indicates the factors to be considered when designing and evaluating CDSS. This model is developed by integrating factors from the “Fit between Individuals, Task, and Technology” (FITT) framework into the three domains of the human, organization, and technology-fit (HOT-fit) model. The resulting FITT-HOT-fit integrated model was tested using a quantitative approach to evaluate the currently implemented CDSS as a part of Hospital Information System BESTCare 2.0 in the Saudi Ministry of National Guard Health Affairs. For data collection, a survey questionnaire was conducted at all Ministry of National Guard Health Affairs hospitals. Then, the collected survey data were analyzed using Structural Equation Modeling (SEM). This analysis included measurement instrument reliability, discriminant validity, convergent validity, and hypothesis testing. Moreover, a CDSS usage data sample was extracted from the data warehouse to be analyzed as an additional data source. The results of the hypotheses test show that usability, availability, and medical history accessibility are critical factors influencing user acceptance of CDSS. This study provides prudence about healthcare facilities and their higher management to adopt CDSS.

Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology (Preprint)

“…The UTAUT integrates eight former technology use theories and has become one of the most prominent technology use models [21,25]. The UTAUT has been applied to investigate factors influencing the acceptance and use of technology in different contexts, including healthcare [26][27][28]. The primary outcome measure considered in the UTAUT alongside actual use is the intention to use a technology [21,29,30].…”

Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology

“…The UTAUT integrates eight former technology use theories and has become one of the most prominent technology use models [22,26]. The UTAUT has been applied to investigate factors influencing the acceptance and use of technology in different contexts, including healthcare [27][28][29]. The primary outcome measure considered in the UTAUT, alongside actual use, is the intention to use a technology [22,30,31].…”

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