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.

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Background The purpose of this paper is to develop an integrated research model to identify the technological and non-technological factors that influence user acceptance of the CDSS. This model is empirically tested using a data sample collected from selected healthcare facilities in Saudi Arabia. Methods The research study uses the quantitative approach to evaluate the currently implemented CDSS as a part of Hospital Information System BESTCare 2.0 in Saudi Ministry of National Guard Health Affairs. A survey questionnaire is conducted at all Ministry of National Guard Health Affairs hospitals for data collection. Then, the survey data is analyzed using Structural Equation Modeling (SEM) and AMOS 21.0. This analysis includes: measurement instrument reliability, discriminant validity, convergent validity, and hypothesis testing. Moreover, a CDSS usage data sample is extracted from the data warehouse to be analyzed as an additional data source. Results The results of the hypotheses testing show that usability, availability, and medical history accessibility are the important factors influencing user acceptance of CDSS. Conclusions This study provides prudence pertaining to healthcare facilities and their higher management to adopt CDSS.

This research paper 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 research study uses the 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 is conducted at all Ministry of National Guard Health Affairs hospitals. Then, the collected survey data is analyzed using Structural Equation Modeling (SEM). This analysis includes measurement instrument reliability, discriminant validity, convergent validity, and hypothesis testing. Moreover, a CDSS usage data sample is extracted from the data warehouse to be analyzed as an additional data source. The results of the hypotheses testing show that usability, availability, and medical history accessibility are the critical factors influencing user acceptance of CDSS. This study provides prudence about healthcare facilities and their higher management to adopt CDSS.