Showing 29 results for Isi
F Shokranehnanehkaran, Hm Hasanzade Esfanjiani, E Salmaninodooshan,
Volume 2, Issue 3 (12-2008)
Abstract
Background and Aim: One of the main criteria in scientometric evaluation of the medical sciences universities is the number of published articles in the journals that have high Impact Factor (IF). The IF is an indicator to evaluate the journals. Many shortcomings of IF were revealed. This review aims to bring out the challenges of IF and the related solutions of them.
Materials and Methods: Required literatures for this review were collected by searching in related databases such as Web of Science (WOS), Scopus, Google Scholar, and also Google search engine as well as SIGMetrics Discussion Group. Determined search strategy limits search to exact phrase and synonyms. Results selected considering relevancy. The review covers the literatures published between 1972- 2007.
Results: We found at least 18 shortcomings of IF which reduce the efficacy of this indicator. In addition, they stated some solutions versus the shortcomings however, there is no suggested resolution for some of the shortcomings.
Conclusions: Considering the shortcoming of IF, however it could not be ignored because of its accessibility and ease of use. Solely, IF cannot solve the researchers' problem of qualified journal selection. Such solution needs awareness about IF challenges. Readers' judgments and journal clubs are valuable qualitative ways, which can help IF in the evaluation of journals.
Sj Ghazi Mirsaeed, H Zeraati, F Azadeh, Sb Miralai,
Volume 2, Issue 4 (3-2009)
Abstract
Background And Aim: Nowadays university websites are very important in information services. There fore university has designed website for categorizing and availability of mass of information . This study accomplish to purpose evaluated of Tehran university of medicine sciences website base on webometrics criteria on 2008 .
Materials and Methods: This survey have been used link analysis methods by four criteria : visibility , size , rich file and google scholar . The situation of Tehran university of medicine sciences website has surveyed . Data gathering tools at webometrics survey are search engines . Data are gathering at google , yahoo, live search and exalead search engine . For data analysis used Excel software.
Results: Findings showed that , visibility of Tehran university of medicine sciences website with 9562 inlinks are weak , nevertheless published research at google scholar with 12100 articles , have suitable ranked in region and world. also size of university website depended to indexing of search engine , web of university often indexing at google and yahoo , less than at live search and exalead .10813 pages published at Rich files format on google , website of university tend to publish rich files as format of .pdf and then .Doc and .ppt . Average load time for tums with 4.2 second is not desirable.
Discussion and Conclusion: Number of papers and citations for tums domain at google scholar is very good at world and middle east. Number of pages recovered from Google, Yahoo in Persian language are optimum but pages from Live Search and Exalead in English language is not favorable . The total number of unique external links received to tums website from Iranian university website is good but from international and information institution is low .
A Fallahi , Ma Morovati Sharifabad ,
Volume 3, Issue 2 (9-2009)
Abstract
Background and Aim: Teeth-mouth diseases include a cost between 10-5% of the total of cost of health care and have the damaging effects on childhood and in adult. Transtheoretical Model shows change of behavior dynamically. The purpose of this study was to determine Stages of change of inter-dental cleaning behavior based on Transtheoretical Model in male and female students in Yazd, Iran.
Results: In this study 54.8% female and 45.2% males participated with mean age of 17.35 ±.55 years. %49.6(59student) of students were in pre contemplation stage. Other participants were 5.3 % (19) in contemplation, 24.1 % (87) in preparation, 6.8% (31) in action and 12.5% (5) in maintenance stage. There was a positive significant relationship among stages of change with self-efficacy (r=0.33) and perceived benefits (r=0.19). Also a negative significant relation between stages of change and perceived barriers (r= -0.19) was oberved. Constructs of the model were statically significant predictors of stages of change and accounted for 0.15% of the variation that self efficacy was most important predictors (β=0.212).
Materials and Methods: This cross-sectional study was performed on pre-university 361 students in 8 schools cluster sampling. The instrument for collecting the information were questionnaires consisting of demographic characteristics, self-efficacy questions, decisional balance (perceived advantages and perceived obstacles) and stages of change of interdental cheaning behavior. Reliability and validity of questionnaires was confirmed. The data collected by interview and analyzed by SPSS.
Discussion and Conclusion : In this study, most of students were in pre contemplation stage. They will be probably exposed to dental caries. Not only Trans-theoretical Model can be a model to determine strategies to each stage of change of teeth-mouth self - care Behavior but can also be used in educational interventions.
M Zahavi, N Sadre Momtaz, Sh Arpanahi Istadegi,
Volume 3, Issue 3 (3-2010)
Abstract
Background and Aim: The main goal of each hospital - like all health care sectors - is protecting and increasing the health level in orsig country. The important role of human resources in hospitals is appropriate strategic decisions making for fast environmental changes and shows the need of staff participation. Nurses as a one of the biggest parts of hospital staff need to participate much more in strategic decision making in hospitals. This article is aimed to measure the level of nurses' participation in strategic decisions making.
Materials and Methods: This research is descriptive - analytic. Total nurses of Shariati hospital were 577 nurses of which 175 nurses were selected and studied.The gathering information instrument was questionnaire adapted from Dustdar thesis. This questionnaire contained 35,5 - choice questions set by Likert basis. Project's data was analyzed with SPSS software in % 95 confidence levels and statistical specifications like mean, standard error,correlation and non parametric tests were used.
Results: According to the results obtained, there are meaningful relation between staff participation in strategic decision making and: marriage situation (PV=0.01), Decision Directing (PV=0.0), culture of participation (PV=0.00), organization maturity (PV=0.00) and risk tolerance (PV=0.01)
Conclusions: It has been observed that nurse participation in strategic decision making in Shariati hospital is in "low" position (participation mean score: 28.52 from 100). So an administrator effort for spreading culture of participation to owner's process is something that should be paid attention more than before.
Fereidun Azadeh, Shanaz Nori Sandyani, Seyed Javad Ghazimirsaeed,
Volume 6, Issue 1 (5-2012)
Abstract
Background and Aim: The international book fair is an opportunity for school libraries. This study was conducted to determine the role of the Tehran international book fair to provide books for school libraries.
Materials and Methods: The study is a descriptive survey. Employees and authorities worked in libraries affiliated to Tehran and Beheshti Medical Sciences Universities consisted the study population. Sample size included 41 individuals(26 staff and 15 officials). For data analysis descriptive statistics by using one sample t- test, chi square, ANOVA and correlation were used.
Results: The highest average score dedicated to choose books in school libraries was a scale of a 3/35± 0/89. With an average score of 3/06±0/07, the role of International book fair in supplying books for school libraries was moderate. Correlation test showed that problems of school libraries had the highest correlation(r=0/36) while the lowest correlation was related to the possibility of book supply(r =0/067).
Conclusion: The international book fair does not have an effective role in supplying books for school libraries. It is necessary to use new approaches to supply books for academic libraries.
Reza Safdari, Mahtab Karami, Mahboobeh Mirzaee, Azin Rahimi ,
Volume 7, Issue 1 (5-2013)
Abstract
Background and Aim: Decision support systems(DSSs) refer to one of the types of information technology applications that can help clinicians to make right and timely decisions about patients. The aim of this study is to learn more about DSSs and their applications and effects on health care.
Materials and Methods: In this systematic review, articles which were published between 2000 and 2012, which were available as full texts through databases and search engines -- such as PubMED, EBSCO host research, Google scholar and Yahoo -- and which were also of clinical-trial type were examined besides, certain books in this area were used as primary sources.
Conclusion : The findings show that DSSs were applied in five areas in health care, which had a significant effect on improving the process of care and the performance of providers. These areas are as follows: disease progress management(15.15%), care and treatment(27.27%), medication(27.27%), evaluation(27.27%), and preventation(12.12%). In general, improvement can be seen in three areas: quality of care and patient safety, cost effectiveness, and provider’s level of knowledge.
Masoud Ferdosi, Amin Saberi Nia , Farzaneh Mahmoudi Meymand , Fatemeh Nezamdoust, Leila Shojaei ,
Volume 7, Issue 3 (9-2013)
Abstract
Background and Aim: Transforming government hospitals into autonomous units improved hospitals. This study was performed to evaluate the responsiveness of board of trustees hospital according to the world bank’s organizational reform model (Preker Model) in isfahan city.
Materials and Methods: The study was a qualitative research method. In this research, depth and semi-structured interviews were carried out and purposive sampling was used.
The study population were top managers of Amin and Alzahra hospitals . Sampling was started with the first participant until saturated level of information, participants completed the 8 cases.
Results: According to interviews, the current role and contribution of non-university institutions (e.g. municipalities representatives) in hospital board of trustees is neither bold nor transparent. These hospitals can address minimum changes in their mechanisms of accountability after developing board of trustees.
Conclusion : It is rational for hospitals as they undergo organizational reform and developing board of trustees, to have more rights for decision making. Further more, their accountability mechanism should change accordingly.
Fatemeh Rangrazjeddi , Alireza Moraveji , Fatemeh Abazari ,
Volume 7, Issue 6 (3-2014)
Abstract
Background
and Aim: Evidence Based Medicine (EBM) is the explicit use of current best
evidence in making decisions about the care of individual patients. Hospital information system (HIS) can act as a
bridge between medical data and medical knowledge through merging of patient's
data, individual clinical knowledge and external evidences .The aim of this
research was to determine the Capability to establish EBM by HIS.
Materials
and Methods: This descriptive cross-sectional study was carried out on HISs of 30
hospitals from March to October 2011. Data were collected using a researcher-
constructed checklist including applicant’s background information as well as
information based on research objectives. Validity of the checklist were
assessed by the qualified specialists and then the data were analyzed using
descriptive statistics and SPSS software.
Results: HISs lacked the essential components for providing access to CDSS,
Reference databases and internet-based health information in 19, 16 and 20
hospitals were 63.3%, 53.3% and 66.7%, respectively. Twenty-two hospitals (70%)
had more than two-thirds of the essential components to access clinical and
administrative data repositories 23 hospitals (76.7%) had at least one
essential component to access contextual and case specific information.
Conclusion: The Capability of HIS is better in order to place EBM in
having access to the clinical and administrator data repositories while it
needs more attention in other areas.
Abdollah Reihani Yasavoli , Seyed Saeed Tabatabaee , Mehdi Moghadasian, Shamsodin Nazemi , Hamid Shahbahrami, Rohollah Kalhor,
Volume 8, Issue 6 (3-2015)
Abstract
Background and Aim: Purchasing hospital equipment is one of the most important decisions made by managers and health professionals. Gray systems theory is an approach to deal with issues under uncertainty conditions where decision makers are facing a small number of unspecified data. The purpose of this paper is to apply the gray theory for the purchase of anesthesia machine .
Materials and Methods: This study was a survey in which mathematical analysis was used. Data collection devices included documents, interviews and questionnaires. In order to solve multiple criteria decision making in uncertain conditions, a model based on gray system theory was used. Data analysis was performed using Excel software.
Results: The findings show that among anesthetic equipment bought by public and private hospitals, brand A is superior to other brands. However, the gray possibility degree for the other brands is significantly different from brand A.
Conclusion: In addition to helping to purchase anesthetic equipment for hospitals, the results of this study are also useful for companies manufacturing medical equipment to evaluate their situation in terms of the studied criteria and take appropriate measures to develop their strengths and improve their weaknesses.
Javad Ahmadi, Jamshid Bahmei, Mohamad Ranjbar, Hamed Rahimi , Hamze Shahbazi ,
Volume 9, Issue 2 (7-2015)
Abstract
Background and Aim: To perform plans and achieve their goals,
organizations are in need of different factors. One of the most important of which
is the existence of an ideal organizational climate and participation. The main goal
of this study is to determine the relationship between organizational climate and
faculty members' participation in decision makings at Shahid Sadoughi University
of Medical Sciences (SSUMS) in Yazd.
Materials and Methods: This was a cross-sectional, descriptive and
analytical study induced in 2011-2012. The research population comprised all 292
SSUMS faculty members. 72 members were selected through random-category
sampling method. For data collection, two questionnaires included organizational
climate and participation were used. The reliability of two questionnaires were 0.86
and 0.85, respectively, using Cronbach's alpha coefficient. The validity of both
questionnaires were confirmed by expert panel. The data were analyzed using
SPSS software version 18. For descriptive results, and used Pearson test for
Analytical results.
Results: The average of total participation rate for faculty members was
computed to be 3.43. The total figure for organizational climate with a mean of
82.6 was obtained from the total average of micro-scale scores. A Pearson
correlation coefficient of 0.418 showed that there was a direct relationship between
organizational climate and faculty members' participation.
Conclusion: In spite of weakness of counselling system and team work system,
and approach diversity between the faculty members, they are enthusiastic to
cooperate to solve the university problems. Therefore we suggest more financial
and spiritual mechanisms for autonomy of the faculty members.
Rahmatollah Marzooghi, Heidari Elham,
Volume 11, Issue 2 (7-2017)
Abstract
Background and Aim: To fulfill its mission, the health system needs reform in various sectors including supervisory areas. That is because the quality of supervision can have various consequences such as increase or decrease of innovative self-efficacy through various factors. Therefore, the aim of this study was to explain the mediator role of perception of organizational justice in the relationship between abusive supervision and innovative self-efficacy.
Materials and Methods: This is a correlational descriptive-analytical study. The sample included 225 employees of Shiraz University of Medical Sciences, who were selected through random sampling. The research instruments were questionnaires of abusive supervision, innovative self-efficacy and perception of organizational justice, which were distributed among the sample after calculating their reliability and validity.
Results: The results showed that abusive supervision had a significant negative impact on the perception of organizational justice and employee’s innovative self-efficacy. Also, the perception of distributive justice has a significant positive impact on innovative self-efficacy and a mediation role in the relationship between abusive supervision and innovative self-efficacy.
Conclusion: In order to enjoy innovation, health-oriented organizations should reduce abusive supervision in managers’ and supervisors’ behavior; therefore, with the increase of employees’ feeling of innovative self-efficacy, they can lead to the realization of the mission of these organizations.
Sajad Mazaheri , Maryam Ashoori, Zeynab Bechari,
Volume 11, Issue 3 (9-2017)
Abstract
Background and Aim: Nowadays heart disease is very common and is a major cause of mortality. Proper and early diagnosis of this disease is very important. Diagnostic methods and treatments of the disease are so expensive and have many side effects. Therefore, researchers are looking for cheaper ways to diagnose it with high precision. This study aimed to identify a model for the treatment of heart disease.
Materials and Methods: In this descriptive cross-sectional study, the sampling method was census. The sample consisted of data from Khatam and Ali Ibn Abi Talib Hospitals in Zahedan. The data were developed as an Excel file, and Clementine12.0 software was used for data analysis. In the present study, C5.0, C & R Tree, CHAID, and QUEST algorithms and artificial neural network were carried out on the collected data.
Results: The accuracy of 76.04 by C & R algorithm indicates the better performance of Decision Tree Algorithms than that of the Neural Network.
Conclusion: This study aimed to provide a model for the prediction of a suitable heart disease treatment to reduce treatment costs and provide better quality of services for physicians. Due to considerable implementation risks of invasive diagnostic procedures such as angiography and also obtaining successful experiences of data analysis in medicine, this study has presented a model based on data analysis techniques. The improvable point of this model is the provision of a decision support system to help physicians to increase the accuracy of diagnosis in the treatment of diseases.
Samaneh Safarani, Seyed Mohammad Ali Khatami Firouzabadi, Ali Ahangar,
Volume 11, Issue 4 (12-2017)
Abstract
Background and Aim: Medical facilities management can have a significant impact on reducing costs and increase the quality of services. Therefore, it is essential that the selection of equipment in an objective manner that they will be classified according to their importance, so the aim of this article is to choose the most appropriate of supplier based on multi-criteria decision-making methods.
Materials and Methods: This study was a mixed method. To collect the data, we used documents and interview. The participants consist of top managers, users and experts in medical devices that are in hospital. We used the snowball sampling.
Results: It can be seen that as the method (ELECTERE1), the priority order is D>C>A=B And the method( TOPSIS) is the same, the priority order is D>B>A>C And at in the last way (VIKOR) is A>B>D>C And as we see in the first and second methods most cases are the same except B and C. in the third technique A changed place and become the first rank and, B and C has the same rank.
Conclusion: we were observed that prioritize the options in all of the similarities to each other and yet in some cases differ, in short, no option is in all of the same place, and it seems to make a final decision should use several other methods as a way to help and emphasis our results.
Reza Safdari, Leila Shahmoradi, Marjan Daneshvar, Elmira Pourtorkan, Mersa Gholamzadeh,
Volume 12, Issue 1 (5-2018)
Abstract
Background and Aim: The Ovarian epithelial cancer is one of the most deadly types of cancers in women.Thus, the purpose of this study was to investigate the most effective factors in predicting and detecting Ovarian cancer in the form of a decision tree to facilitate the Ovarian cancer diagnosis.
Materials and Methods: The present study was a descriptive-developmental study. The main research tool applied in this study was a checklist which was designed based on the medical records, published studies, scientific references, and expert consultation.To determine the content validity of the checklist, the CVR method was applied. Next, survey research was done with aid of Likert-based checklist based on expert opinions in gynecology. Finally, to develop the decision tree, the results of the expert survey were analyzed and the final model was implemented based on the survey results.
Results: The data elements of final decision tree were derived from the result of expert surveys, guidelines, clinical pathways and strategies in context of diagnosis and screening of Ovarian cancer. The leaf nodes in the tree include different types of tumor markers, following up, therapeutic measures, and referrals. The accuracy of the decision tree was approved by the experts. The most important tumor markers that obtained from the decision model in this study were CA19-9, ROMA (CA125 + HE4) and CEA.
Conclusion: Clinical decision models can provide specific diagnosis and therapeutic suggestions by creating patient information integration framework. The model developed in this study can improve the diagnosis of epithelial Ovarian cancer considerably by facilitating decision making.
Mohammad Reza Shahraki , Mahboubeh Mesgar,
Volume 13, Issue 1 (5-2019)
Abstract
Background and Aim: The liver, as one of the largest internal organs in the body, is responsible for many vital functions including purifying and purifying blood, regulating the body's hormones, preserving glucose, and the body. Therefore, disruptions in the functioning of these problems will sometimes be irreparable. Early prediction of these diseases will help their early and effective treatment. Regarding the importance of liver diseases and increasing number of patients, the present study, using data mining algorithms, aimed to predict liver disease.
Materials and Methods: This descriptive study was performed using 721 data from liver patient in zahedan. In this study, after preprocessing data, data mining techniques such as SVM: Support Vector Machine, CHAID, Exhaustive CHAID and boosting C5.0, data were analyzed using IBM SPSS Modeler 18 data mining software.
Result: The validity obtained for boosting C5.0 94/09, for Exhaustive CHAID algorithm 88/71, for SVM 87/09, for CHAID algorithm 85/47 prediction of liver disease. the boosting C5.0 algorithm showed a better performance of this algorithm among other algorithms.
Conclusion: According to the rules created by boosting C5.0 algorithm, for a new sample, one can predict the likelihood of a person for developing liver disease with high precision.
Jala Saeidpour, Niloufar Faridfar, Mahsa Ghaziasgar,
Volume 13, Issue 2 (7-2019)
Abstract
Background and Aim: Today, small businesses can be considered as a good strategy for different parts of hospitals in the country. Therefore, the use of any new mechanism in the health system needs to be examined and adapted to local conditions. This study aims to investigate factors affecting the implementation of outsourcing from the viewpoint of managers of Tehran University of Medical Sciences (TUMS) hospitals.
Materials and Methods: The present research is a descriptive-correlational and applied study. Due to the size of the population (TUMS managers of financial and hospital affairs), sampling was done by census method. The research tool was a researcher-made questionnaire with two sections -- demographic information and factors affecting outsourcing in hospitals -- and was distributed among the subjects. Then, to run descriptive statistics for data analysis, SPSS version 18 was used.
Results: Fifty-eight percent of the participants had a long service record and 80% had postgraduate degrees. For successful outsourcing in hospitals, the following should be considered: formation of a strategic outsourcing team, checking out the quality of outsourced services, and managers’ close monitoring and mastery over outsourced principles.
Conclusion: Since outsourcing of services can achieve positive results in terms of improving the quality of services, satisfying stakeholders, reducing costs, generating income, and so on, using the perspectives of queue managers who have a long service record can be effective in the implementation of successful decisions.
Azita Yazdani, Ali Asghar Safaei, Reza Safdari, Maryam Zahmatkeshan,
Volume 13, Issue 3 (9-2019)
Abstract
Background and Aim: Breast cancer is the most common type of cancer and the main cause of death from cancer in women worldwide. Technologies such as data mining, have enabled experts in this area to improve decision making in the early diagnosis of the disease. Therefore, the purpose of this research is to develop an automatic diagnostic model for breast cancer by employing data mining methods and selecting the model with the highest accuracy of diagnosis.
Materials and Methods: In this study, 654 available patient records of Motahari breast cancer Clinic in Shiraz" were used as the sample. The number of records was reduced to 621 after the pre-processing operation. These samples had 22 features that ultimately used ten were used as effective features in the design of the model. Three types of Decision tree, Naive Bayes and Artificial neural network were used for diagnosis of breast cancer and 10-fold cross-validation method for constructing and evaluating the model on the collected data set.
Results: The results of the three techniques mentioned all three models showed promising results in detecting breast cancer. Finally, the artificial neural network accounted for the highest accuracy of 94/49%(sensitivity 96/19%, specificity 86/36%) in the diagnosis of breast cancer.
Conclusion: Based on the results of the decision tree, the risk factors such as age, weight, Age of menstruation, menopause, OCP of records duration, and the age of the first pregnancy were among the factors affecting the incidence of breast cancer in women.
Azita Yazdani, Reza Safdari, Roxana Sharifian, Maryam Zahmatkeshan, Marjan Ghazi Saeedi,
Volume 14, Issue 2 (5-2020)
Abstract
Background and Aim: When clinical decision support systems are developed, implementing solutions that enable these systems to be -used on a large scale can reduce the production costs associated with the creation, maintenance and by sharing these systems, producing multiple clinical decision support systems will be prevented. In recent years, one of the approaches used for this purpose in combination with clinical decision support systems is the service-oriented architecture approach. The purpose of this study was to investigate the role and importance of service-oriented architecture in delivering scalable architectures of clinical decision support systems focusing on different approaches to this architecture.
Materials and Methods: This article is a simple review article. Bibliographic databases of IEEE Explore, Science Direct, Springer, Web of Science, and Scopus were reviewed. The keywords "Service Oriented Architecture" and "clinical decision support systems" were used as keywords along with related terms for searching these databases.
Results: The clinical decision support systems based on service-oriented architecture brings benefits such as Facilitate knowledge maintenance, reducing costs and improving agility. Point-to-point communication, enterprise service bus, service registry, clinical and engine guiding engine, and service choreography and orchestration are general architectural designs that are evident in the use of web-based clinical decision support systems based on a service-oriented architecture approach.
Conclusion: Service-oriented architecture is a potential solution for delivering scalable platforms for clinical decision systems.
Raoof Nopour, Mohammad Shirkhoda, Sharareh Rostam Niakan Kalhori,
Volume 14, Issue 2 (5-2020)
Abstract
Background and Aim: Colorectal cancer is one of the most common gastrointestinal cancers among human beings and the most important cause of death in the world. Based on the risk of colorectal cancer for individuals, using an appropriate screening program can help to prevent the disease. Therefore, the purpose of this study was to design a model for screening colorectal cancer based on risk factors to increase the survival rate of the disease on the one hand and to reduce the mortality rate on the other.
Materials and Methods: By reviewing articles and patients' records, 38 risk factors were detected. To determine the most important risk factors clinically, CVR(content validity ratio) was used; and considering the collected data, Spearman correlation coefficient and logistic regression analysis were applied for statistical analyses. Then, four algorithms -- J-48, J-RIP, PART and REP-Tree -- were used for data mining and rule generation. Finally, the most common model was obtained based on comparing the performance of the algorithms.
Results: After comparing the performance of algorithms, the J-48 algorithm with an F-Measure of 0.889 was found to be better than the others.
Conclusion: The results of evaluating J-48 data mining algorithm performance showed that this algorithm could be considered as the most appropriate model for colorectal cancer risk prediction.
Mohamad Jebraeily, Ali Rashidi, Taher Mohitmafi, Rooghayeh Muossazadeh,
Volume 14, Issue 6 (1-2021)
Abstract
Background and Aim: Electronic prescription systems can improve patient safety and the quality of health care services. These systems must provide the capabilities required to reduce medical errors and enhance the performance of health care providers. The purpose of this study is to evaluate the capabilities of the e-prescription system from the perspective of physicians in the polyclinics of the Social Security Organization (SSO) of Urmia.
Materials and Methods: The present study is a descriptive cross-sectional study that was conducted in 2020. The study population consisted of 82 physicians working in 3 polyclinics of the SSO in Urmia, which was determined by census. The instrument used in this study is a self-designed questionnaire that the validity of it was determined based on the opinions of experts and its reliability was evaluated by Cronbach's alpha coefficient. Data analysis was performed using SPSS software.
Results: The results showed that in the section of documentation and access to information, the highest score was related to the possibility of drug prescribe (4.58), request for examination and radiology (4.44). In terms of decision support capabilities, the highest score for providing alerts related to drug interactions (4.18) and controlling the amount of medication prescribed for chronic patients (3.83) and also in the field of technical capabilities, the highest score related to easy to use (3.87) and fit of user interface (3.66).
Conclusion: The e-prescription system under survey has gained fewer score in some capabilities, such as access to pharmaceutical information based on reliable sources, advice to treatment options based on original diagnosis and the customized system. Therefore the system developer should be improved capabilities of it through communicating properly with users and understanding their real needs.
