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Context: Using smart mobile devices, called mobile health (mHealth), facilitates providing health services, speeds up the process, and reduces the costs and complications of direct services. Also, mHealth has many capabilities and applications in epidemic and pandemic outbreaks. This study aimed to identify mHealth applications in epidemic/pandemic outbreaks and provide some suggestions for tackling COVID-19. Methods: To find the relevant studies, searches were done in PubMed and Scopus by related keywords during 2014 - 2020 (March 10). After selecting the studies based on the inclusion and exclusion criteria, data were collected by a data-gathering form. Results: Of the 727 retrieved studies, 17 studies were included. All studies emphasized the positive effect of mHealth for use in epidemic/pandemic outbreaks. The main applications of mHealth for epidemic/pandemic outbreaks included public health aspects, data management, educational programs, diagnosis, and treatment. Conclusions: mHealth is an appropriate method for encountering epidemic/pandemic outbreaks due to its extensive applications. In the pandemic outbreak of COVID-19, mHealth is one of the best choices to use in the patient-physician relationship as tele-visits, using in fever coach, providing real-time information for healthcare providers, population monitoring, and detecting the disease based on obtained data from different locations.

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Background:With regard to the high cost of the Electronic Health Record (EHR), in recent years the use of new technologies, in particular cloud computing, has increased. The purpose of this study was to review systematically the studies conducted in the field of cloud computing. Methods:The present study was a systematic review conducted in 2017. Search was performed in the Scopus, Web of Sciences, IEEE, Pub Med and Google Scholar databases by combination keywords. From the 431 article that selected at the first, after applying the inclusion and exclusion criteria, 27 articles were selected for surveyed. Data gathering was done by a self-made check list and was analyzed by content analysis method. Results:The finding of this study showed that cloud computing is a very widespread technology. It includes domains such as cost, security and privacy, scalability, mutual performance and interoperability, implementation platform and independence of Cloud Computing, ability to search and exploration, reducing errors and improving the quality, structure, flexibility and sharing ability. It will be effective for electronic health record. Conclusion:According to the findings of the present study, higher capabilities of cloud computing are useful in implementing EHR in a variety of contexts. It also provides wide opportunities for managers, analysts and providers of health information systems. Considering the advantages and domains of cloud computing in the establishment of HER, it is recommended to use this technology.

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Background: One of the effective factors in successful implementation of health information technology, especially electronic medical record, is investigation of adoption and its use by users. Therefore, the aim of this study was to investigate factors affecting adoption and use of electronic medical record in Shiraz teaching hospitals from the perceptive of top and middle managers.

Background: With regard to the particularly high prevalence, cost, and number of disabilities associated with diabetes, increasing patients’ knowledge and skills for managing the disease can help minimize the risks of complications. Objective: The present study aimed to design and evaluate a mobile-based application with which patients with type 2 diabetes can increase their knowledge of and skills for managing their disease. Methods: The current developmental-applied study was conducted in 2016 in a library and used a 2-step sectional format. The research population comprised 15 physicians and endocrinologists working in medical centers associated with Tehran University of Medical Sciences and 20 physicians and patients. Based on the library study, a checklist was designed and then distributed among participants. Their responses were analyzed using SPSS software version 20. Results: The data was divided into 4 main sections: identity information (patient demographics), clinical information, education curriculum related to diabetes management, and program requirements for diabetes management, which consisted of 52 subsets. The evaluation of the system by doctors and patients showed that the system has high capabilities. Conclusion: Mobile-based programs can help diabetics control blood glucose levels, reduce diabetes complications, and promote overall health.