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Hamidreza Salmani Mojaveri , Mahboubeh Kordmostfapour , Kokab Mansour Kiaiy , Fatemeh Amouzad Khalili , Negin Qavi Kutenai ,
Volume 75, Issue 8 (11-2017)
Abstract

Today, the use of information and communication technology (ICT) is an important and key factor in the progress of all organizations, including health-centered and health systems. Given the importance of the subject matter above, these organizations have created a particular transformation and change in order to upgrade their systems in use, one of which is the creation of Electronic Health Records (EHR). This evolving system, by increasing productivity, both by increasing staffing efficiency and by increasing the effectiveness of the treatment process, simplifies the diagnosis path to treatment and prevents the submission of written and bulky reports. Given the ethical principles of protecting the privacy of patients and the confidentiality of their information, how to archive electronic medical records in a secure database is very important. This is one of the most important issues of ethics and hospital managers should provide mechanisms to keep all patient data properly stored and maintained. In this paper, we have tried to provide a model for the Electronic Health Record Hospital, which many of them could use to optimize their medical records systems. The purpose of this model is to accelerate and apply the process of creating electronic records in the health system, especially government hospitals with a large number of patients. By using this model, internal and external interaction of organization is facilitated, and agile responsiveness can be provided at a given time. In addition to the above, with the implementation and operationalization of the model, the possibility of reducing the volume of criticisms and complaints from hospitals will also be realized and the use of drugs will be based on the actual needs of the community and based on individual data. Implementation of this model also has barriers to addressing some of them in this article, but in order to overcome these barriers, more administrative effort and wider governmental support are needed. These efforts in the context of culture-building use of information technology, both among hospital personnel and among patients and healthcare users, are more important.
 

Seyed Mojtaba Hashemi Hasani , Khalil Kimiafar, Parviz Marouzi, Seyed Masoud Sadati, Alireza Banaye Yazdipour, Masoumeh Sarbaz,
Volume 78, Issue 5 (8-2020)
Abstract

Background: The Electronic Health Record contains personalized health care information. Several factors affect the quality of SEPAS (Iranian electronic health record) data, disregarding the types of hospital information system set-up in hospitals. The purpose of this study was to investigate users' views on the factors affecting the data quality of Iranian Electronic Health Record (SEPAS) in hospitals affiliated to Mashhad University of Medical Sciences.
Methods: This descriptive cross-sectional study was conducted in 2018. In this study, the views of supervisors of the SEPAS system, HIS chief officers, and head of health information technology departments of hospitals were evaluated through a valid and reliable researcher-made questionnaire. Content validity ratio and content validity index of the questionnaire were validated as 0.82 and 0.94, respectively. Furthermore, the internal questionnaire reliability was affirmed by Cronbach's alpha of 0.96. Data analysis was conducted using descriptive statistics in the SPSS v.16 software.
Results: The most important individual factor of affecting SEPAS data quality was staff training (4.19±0.94 of 5). Moreover, the factor “Personnel awareness of goal, mission, and vision of SEPAS system" had the lowest score (3.86±1.16). Also, the most critical organizational factor was the integration and relation of the HIS with the Civil Status Registration System (4.43±0.72). In examining technical factors, the quality of its support team responsiveness to user demands had the highest score (4.56±0.58). Also, the utilization of new data collection instruments and technologies (barcode, RFID, etc.) had the lowest score (4.22±0.98).
Conclusion: The most efficient solutions to improve quality of SEPAS data seems to be continuous training of staff, enhancing HIS connection with the Civil Status Registration System and improving the responsiveness of SEPAS support team.


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