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Showing 3 results for Sabahi

Seyed Jamalodin Tabibi, Mahmud Reza Gohari, Mohammad Sabahi Bidgoli, Somayeh Shahri,
Volume 6, Issue 3 (7 2012)
Abstract

Background and Aim: The present case study aims to investigate the impact of service quality on patients' loyalty to the services rendered in outpatient clinics of the studied hospitals throughout Tehran.

Materials and Methods: This is a descriptive-analytical survey in which 242 outpatients referring to the studied hospital clinics in Tehran. For data collection purposes, the standardized SERVQUAL questionnaire(1988) and for the measurement of loyalty for service quality, the standard questionnaire for customer's behavioral tendencies(Zitamel and Berry, 1996) were used. Regarding the validity of the questionnaire, its content validity was confirmed and its reliability was approved through test-retest method and Cronbach's alpha coefficient. For data analysis, Pearson correlation test was employed.

Results: The results revealed that there was a positive and meaningful relationship between the quality of services and the patients' loyalty in Tehran clinics. The most important aspect of loyalty was complaining behavior.

Conclusion: Hospital managers should enhance their understanding and awareness to maintain, and even improve, the patients' loyalty to their services and should do their best in this regard. Hospital employees should be aware of the patients' expectations and act beyond it. Finally, they should know that rendering services to patients is teamwork and that the key to providing patients with good services lies in their satisfaction with the quality of services they receive.


Fatemeh Bahador, Azam Sabahi, Somayeh Paydar, Fatemeh Zangooei Seno,
Volume 16, Issue 6 (Feb 2023)
Abstract

Background and Aim: Today along with information technology development, telemedicine technology has expanded dramatically. Sinse telemedicine technology relies on data transmission, it is essential to pay attention to issues such as network security, confidentiality, and privacy of patients. Therefore, the aim of this study was to determine the importance of information security requirements in telemedicine networks based on managers and employees of the information technology unit of the University and teaching hospitals of Birjand city 
Materials and Methods: This descriptive cross-sectional study was conducted in year 2021. The research population was The managers and employees of the information technology unit of the university and teaching hospitals of Birjand city (40 people), who were surveyed by the census. The study tool was a researcher-made questionnaire that confirmed its validity by faculty members and experts, and its reliability was calculated with Cronbach’s alpha (0.83). After collecting the data, they were entered into the SPSS software and were analyzed using descriptive statistics.
Results: The results showed that the security requirement related to information transportation is more important than other requirements. Also in the field of human resources, providing detailed documentation and training guides for users of the systems was with an average of (4.47). In the medical diagnosis equipment field, telemedicine network systems are equipped with emergency power was with an average of (4.72). In the storage and access to information context, installing antiviruses and anti-malware on all systems was with an average of (4.75), and also in the field of information transfer, encryption of important and sensitive files and information was with an average of (4.69) were the most important security needs.
Conclusions: As the results showed, security requirements related to information transfer have more importance than other requirements; Initially, information security can be guaranteed by creating security policies, updating and monitoring their implementation, as well as training employees. However, in order to transfer sensitive medical information, encryption and qualification verification methods, secure information transfer protocols, virtual and private networks (VPN) and other new technologies can be used in this field. Of course, necessary preparations should be made to create appropriate technical infrastructure for the implementation of security policies in information transmission.

Fatemeh Bahador, Azam Sabahi, Samaneh Jalali, Fatemeh Ameri,
Volume 16, Issue 6 (Feb 2023)
Abstract

Background and Aim: Diabetes is one of the most common metabolic diseases in Iran and the fifth leading cause of death all over the world. Its spread around the world has created new methods in biomedical research, including artificial intelligence. The present study was carried out to review the studies conducted in the area of artificial intelligence and diabetes in Iran. 
Materials and Methods: This study was carried out using a systematic review method. Valid domestic databases, including Irandoc, Magiran, Sid and Google Scholar search engine, were reviewed using the keywords of artificial intelligence and diabetes in Persian both individually and in a combined manner without time limitation until June 20, 2021. A total number of 7495 articles were retrieved, which were screened in different stages (exclusion of duplicates (1824), title and summary of the articles (5884) and full text (30) and finally 20 articles that met the criteria desired by the researchers were carefully reviewed. 
Results: Among the retrieved articles, 20 articles met the inclusion criteria, of which 16 articles dealt with methods based on artificial intelligence and 4 articles dealt with the design of new systems based on artificial intelligence. Also, 10 articles examined the role of artificial intelligence in prediction, 8 articles in diagnosis, and 2 articles dealt with the control and management of diabetes. Most of the articles were related to the use of data mining methods such as artificial neural network, decision tree, etc. (16 articles). Some studies also evaluated and compared artificial intelligence methods on application, accuracy and the sensitivity of artificial intelligence in diagnosing and predicting diabetes (10 studies). 
Conclusion: A systematic review of articles revealed that the use of data mining methods for diabetes management in Iran has been associated with good progress, but there is a need to design artificial intelligence systems and algorithms and more measures should be taken in the area of diabetes control and management.


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