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Item Unpacking the Evaluation Proceeding of Clinical Decision Support Systems: A review of methodological approaches and categories(CEUR-WS.org, 2023-12-05) Azadi, A.; García-Peñalvo, F. J.Medical personnel must utilize Clinical Decision Support Systems (CDSS) to enhance clinical decision-making, minimize mistakes, and improve patient outcomes. Accurately evaluating the performance of CDSS is essential to avouch their effectiveness and efficiency. We have reviewed the literature to provide insights into evaluating CDSS, along with the criteria that need to be assessed, such as accuracy, usability, and efficiency. Researchers are instructed to pick an acceptable technique depending on their research aims and the situation in which they will analyze Clinical decision support systems after considering potential obstacles and constraints within the procedure. By conducting these types of research projects, we will be able to improve the quality of the decision-support systems and enhance their utility in clinical practice. This article provides valuable intuition for researchers, healthcare professionals, and decision-makers seeking to evaluate the performance of CDSS in healthcare settings.Item Synergistic Effect of Medical Information Systems Integration: To What Extent Will It Affect the Accuracy Level in the Reports and Decision-Making Systems?(MDPI, 2023-01-19) Azadi, A.; García-Peñalvo, F. J.Nowadays, according to the intention of many hospitals and medical centers to computerize their processes and medical treatments, including data forms and medical images, which are generating a considerable amount of data, IT specialists and data scientists who are oriented to eHealth and related issues know the importance of data integration and its benefits. This study indicates the significance of data integration, especially in medical information systems. It means that the medical subsystems in the HIS (hospital information system) must be integrated, and it is also necessary to unify with the MIS (management information system). In this paper, the accuracy level of the extracted reports from the information system (to evaluate the staff’s performance) will be measured in two ways: (1) At first, the performance of the clinic reception staff will be evaluated. In this way, the personnel attendance system is an independent and separate software, and the mentioned evaluation has been performed by its report. (2) The following year, in the same location, the same evaluation has been performed based on the data extracted from the personnel attendance subsystem, which has been added to the medical information system as an integrated information system. After comparing the accuracy level of both ways, this paper concludes that when the personnel attendance subsystem as a part of the MIS has been unified with the HIS, the reports and, consequently, management decisions will be more accurate; therefore, the managers and decision-makers will perceive the importance of data integration more than in the past.