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Showing 5 results for Sheikhtaheri

Abbas Sheikhtaheri, Fatemeh Ghandali, Gholamreza Zamani Ghaletaki,
Volume 4, Issue 1 (6-2017)
Abstract

Introduction: Epilepsy is a common chronic neurological disease. In epilepsy treatment process, both of appropriate treatment options and patient education should be considered. Nowadays, mobile technologies have been known as a proper platform for improvement of patients’ knowledge in chronic diseases. The aim of this study was to assess the perspectives of epileptic patients and physicians about the required educational content in developing an educational mobile application for epilepsy.
Methods: In this cross-sectional study, the perspectives of 100 patients with epilepsy who were members of the Iranian Epilepsy Association and 15 physicians who were members or colleagues of this association were surveyed about the patients’ educational needs. The applied questionnaire included 19 questions in three areas (disease information, lifestyle and used medications). Data were analyzed by the use of descriptive statistics (mean and standard deviation).  
Results: A variety of  items such as first aid, cause, symptoms, complications and treatment of epilepsy, the effect of exercise, sleep, driving, occupation, marriage, pregnancy, nutrition in epilepsy, information about antiepileptic drugs and their complications, and the importance of the regular use of medications should be considered in the educational content of the application.
Conclusion: This study indicates that the educational content for developing a mobile application for patients with epilepsy from the perspectives of patients and physicians includes three domains of life style, disease information and medication. Totally, 15 educational requirements were identified that should be considered in developing the application.
 

Mahdieh Kamali, Abbas Sheikhtaheri,
Volume 5, Issue 1 (Spring 2018)
Abstract

Introduction: Documenting nursing reports and recording data are among the first and most important tasks of nurses. Speech recognition technology has been introduced as one of the most effective technologies in nursing documentation, which supports the nursing and patient interaction as well as the training of nurses through saving nurses' time. This study aimed to identify the benefits, barriers and facilitators of using this technology in documenting nursing reports.
Methods: In this review study, various studies on the use of speech recognition technology in the field of nursing documentation published from 1990 to 2017 were reviewed at Pubmed, Science Direct, Google Scholar, Magiran, SID databases and, finally, ten papers were included in the review. The inclusion criteria were studies published in Persian or English language and the implementation of the speech recognition system in the field of nursing documentation and reporting.
Results: Improvement of workflow, with the highest frequency, was the most important benefit. Reduction of the accuracy of speech recognition software was the first mentioned barrier of using this technology followed by the impact of environmental noises. Sufficient training and use of appropriate tools were found as the most important facilitators of using this technology.
Conclusion: This study helps hospital managers, nursing managers and IT managers of hospitals to better manage selection and implementation of speech recognition system for documenting nursing reports. As a result, reducing productivity due to inaccuracy in voice recognition, lack of improvement in the quality of documentation of nursing reports, increasing the workload of nurses and their involvement in indirect care activities can be prevented.
 

Abbas Sheikhtaheri, Soghra Rostami Garavand, Hossein Ahmadi,
Volume 5, Issue 2 (Summer 2018)
Abstract

Introduction: Radio Frequency Identification (RFID) technology has been implemented in a wide variety of industries including healthcare field. Due to the introducing RFID technology in the healthcare industry, it is necessary to determine the factors influencing acceptance of this technology. Therefore, in the present study, the factors associated with the acceptance of RFID technology in Health Information Management hospitals affiliated to Iran University of Medical Sciences were studied.
Methods: The current applied research was descriptive-analytic. A questionnaire was distributed among all health information management staff of the hospitals affiliated to Iran University of Medical Sciences (n=138) and finally, 135 questionnaires were completed. The results of the study were analyzed through SPSS16 and using descriptive statistics, inferential statistics, and regression.
Results: The mean scores of factors were as follow: social effects (4.24 out of 5), management support (4.34 out of 5), expected performance (4.20 out of 5), expected effort (4.09 out of 5), facilitating conditions (3.47 out of 5), security (3.83 out of 5) and intention (4.3 out of 5). The coefficients of influence of social effects (0.125), management support (0.210), expected performance (0.244), expected effort (0.148) and facilitating conditions (0.135) showed positive significant relationships with intention to use RFID. However, security was not an influential factor on use of RFID.
Conclusion: Based on the findings, providing general education, facilitating the use of this technology by vendors and developing adequate infrastructure may increase the willingness to accept RFID.

Abbas Sheikhtaheri, Najmeh Hasani, Agha Fatemeh Hosseini,
Volume 6, Issue 1 (Spring 2019)
Abstract

Introduction: Picture Archiving and Communication System (PACS) allows the processing, archiving, and sharing medical images electronically with different parts of the hospital, especially the emergency department. The aim of this study was to evaluate the effect of PACS on the diagnosis accuracy of emergency department physicians before and after its implementation.
 Method: In this analytical study, the diagnosis of emergency physicians was compared with that of radiologists in each period. Eventually, the data obtained in the two periods were compared. In this study, 380 and 509 CT scans were analyzed before and after the PACS implementation, respectively. Data analysis and comparison of the accuracy and agreement of diagnosis in the pre- and post-PACS implementation periods were performed using Chi-square test, and statistical significance level was calculated using SPSS version 24.
 Results: The accurate diagnosis of CT scan examinations increased from 284 examinations (75.9%) before PACS implementation to 428 examinations (84.4%). The diagnostic agreement also increased from 306 examinations (81.8%) before PACS implementation to 452 examinations (89.2%). Statistical significant level was considered at P<0.05.
Conclusion: The accuracy and agreement of the diagnosis of emergency physicians in CT scan examinations in the post-PACS implementation period increased compared to the pre-PACS implementation period; as a result, the implementation of PACS increases the diagnostic agreement between emergency physicians and radiologists, followed by an increased diagnosis accuracy of emergency physicians.

Abbas Sheikhtaheri, Shamim Pilevari, Sajjad Sangestani,
Volume 8, Issue 4 (3-2022)
Abstract

Introduction: Polycystic ovary syndrome is a chronic disease with a wide range of complications. Due to the complexity of this syndrome, patients often suffer from limited knowledge. With the unprecedented growth of technology, smartphones have gained significant importance due to their availability to facilitate learning and increase self-awareness. This study aimed to identify the requirements of self-care applications for patients with polycystic ovary syndrome.
Method: In this applied study, a quantitative-descriptive design was conducted in 2021. The requirements of the polycystic ovary syndrome applications including educational content, data elements, and features were assessed using needs assessments from patients and gynecologists. In this regard, a questionnaire was administered to patients (n=45) and gynecologists (n=17) in Fatemieh Educational and Medical Center in Hamadan, Iran. The obtained data (44 questionnaires) were analyzed by SPSS software version 24 using descriptive statistics and the necessary components were identified.
Results: The findings indicated that in the view of patients and gynecologists, all educational components were considered necessary except learning the causes of the disease. Finally, out of 53 questioned features in 11 subjects, only “displaying self-care messages for the monthly menstrual cycle” and “messages for nocturnal sleep management” were identified as unnecessary.
Conclusion: The features presented in this study can be considered as a model for designing mobile applications for polycystic ovary syndrome.

 


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