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In health care industry, EHR has been advocated to improve care quality. The journey toward the development and adaptation of EHR should be holistic and integrate all the EHR’s building blocks-health record management, business process improvement (BPI), collaboration and innovation, change management, user governance, etc.—that are intertwined together as(More)
A growing capacity of information technologies in collection, storage and transmission of information in unprecedented amounts has produced significant problems about the availability of wide limit of the consumers of Electronic Health Records of Patients. With regard to the existence of many approaches to developing Electronic Health Records, the basic(More)
Complicacy of clinical decisions justifies utilization of information systems such as artificial intelligence (e.g. expert systems and neural networks) to achieve better decisions, however, application of these systems in the medical domain faces some challenges. We aimed at to review the applications of these systems in the medical domain and discuss about(More)
INTRODUCTION Patient Safety Information Systems (PSIS) are prerequisite for any patient safety program. The purpose of the study was to review PSISs in developed countries and to customize a preliminary framework for such systems for Iran. METHODS Three developed countries in the field of patient safety including the USA, England and Australia were(More)
A growing capacity of information technologies in collection, storage and transmission of information has added a great deal of concerns since electronic records can be accessed by numerous consumers at various locations. Thus, the basic question is “what kind of Model is suitable for guaranteeing the confidentiality of EHR information in Iran?” The present(More)
OBJECTIVES Predicting the length of stay (LOS) of patients in a hospital is important in providing them with better services and higher satisfaction, as well as helping the hospital management plan and managing hospital resources as meticulously as possible. We propose applying data mining techniques to extract useful knowledge and draw an accurate model to(More)
Quality of diagnostic data depends on accurate coding. The purpose of this study was to assess the accuracy of principal diagnosis coding and its effective factors. To achieve this aim, three hundred and seventy medical records were randomly selected and recoded blindly (as gold standard). The effects of possible factors on accuracy of coding which was(More)
Our aim was to use the fuzzy analytic hierarchy process approach to prioritize the factors that influence nurses' satisfaction with a hospital information system. First, we reviewed the related literature to identify and select possible factors. Second, we developed an analytic hierarchy process framework with three main factors (quality of services, of(More)
Clustering analysis is the process of dividing a set of objects into none-overlapping subsets. Each subset is a cluster, such that objects in the cluster are similar to one another and dissimilar to the objects in the other clusters. Most of the algorithms in partitioning approach of clustering suffer from trapping in local optimum and the sensitivity to(More)
Personal Health Record (PHR) enables patients to access their health information and improves care quality by supporting self-care. The purpose of this study is to provide a comparative analysis of the concept of PHRs in selected countries and Iran in order to investigate the gaps between Iran and more advanced countries in terms of PHRs. The study was(More)