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Hospital Information System (HIS) is a form of healthcare information system that is globalized and applied in the medical sector. Researchers, doctors, and management are all interested in the rate of success of HISs; therefore it's a continuous study topic. At this research, we created a new tool to assess the success rate of HIS in a medical center based on the perspectives of users. The research was place in Ebnesina and Mashhad, Persia, at the Dr. Hejazi Mental Center and Educational Facility. A self-administered standardized questionnaire based on Information Systems Success Model (ISSM) was used to gather data, and it included seven factors: systems quality, data quality, quality of service, system use, applicability, fulfillment, and positive externalities. An advisory group checked the content's legitimacy. Cronbach alpha was used to test the consistency and stability of dimensions. To examine the importance of relationships between variables, Correlation and regression was determined. On the basis of user feedback, the HIS rate of success has been established. The research included a approximately 125 participants. A content validity index (CVI) of 0.8 and a validity ratio (CVR) of 0.86 were used by an advisory committee to verify the item. The instruments have an overall Cronbach's alpha of 0.9. Between the analyzed dimensions, the Pearson’s correlation coefficient revealed substantial positive connections. In the institution under investigation, the HIS rate of success averaged 65 percent. (CI: 64 percent, 67 percent). The greatest success rates were found in the aspects of "effectiveness," "systems quality," and "positive externalities." Future research might employ the tool used in this research to evaluate HIS. In this research, a technique for calculating the HIS rate of success depending on user feedback was established. This strategy enables institutional HIS chances of success to be compared. Our results also highlight the perspectives of HIS clients in a developing economy.

A Survey of HISs with Information Systems Success Model