JOURNAL OF HEALTH ADMINISTRATION
Year:2013 | Volume:16 | Issue:54|Papers Count:9

Introduction: Pharmaceutical Warehouse Information Systems is the software that provides drug preparation and maintenance operations from the order stage to delivery stage. To evaluate this system, different aspects of the system should be taken into consideration. In this study, the features and functionality of the system from the managers’ and users’ perspectives were examined.Methods: This applied study was descriptive - comparative in nature. Nine teaching hospitals in Tehran were selected by random sampling. Data collection was carried out by a questionnaire and a check list. The validity of the instruments of the study was determined by five experts of the system, and the reliability was measured by test-retest technique.Results: The results showed that the managers and users agreed with significant features of Pharmaceutical Warehouse Information Systems. The technical features of the system were observed by evaluation showing that Razi hospital and the Cancer Institute used more powerful operating system and databases. In regards to system capabilities, the software used in Bouali and Amiraalam showed maximum capabilities (scored 84), while Najmieh appeared to have minimum capabilities (scored 70).Conclusion: Results indicated that users were not interested in using new technologies in these systems. The technical specifications of the systems appeared to be relatively desirable and all the systems had public reporting and analysis capabilities; however, some of these systems failed to meet management by exception capabilities, supervision and maintenance issues.

Introduction: Consequences of implementing hospital information systems have led to a failure in meeting decision makers’ expectations on the one hand and a failure in successful execution of the process on the other hand. This study aimed to evaluate physicians' perspective in regards to the efficiency, benefits and complexities of using hospital information systems in public hospitals of Urmia.Methods: This was a descriptive-analytic and cross-sectional study. Stratified random sampling was used for sample selection. Data collection was conducted via a questionnaire. Pearson correlation coefficient and chi-square tests were applied to analyze the assumptions and objectives.Results: The finding of this study showed that there was a significant relationship between the expected performance of HIS and familiarity with information technology (p=0.000) and age (p=0.008). There was also a significant relationship between the expected performance of HIS and age. The findings showed a significant relationship between the complexities emerging from the use of HIS and familiarity with information technology (p=0.000) and age (p=0.049)..Conclusion: Due to physicians’ key role in medical procedures and the importance of adopting information systems, familiarity with information technology is crucial. To have optimal use of information technology in hospitals, training courses for physicians are suggested.

Introduction: Commonly libraries and information centers use LibQual to measure their quality of services. Although analysis of Libqual done with classical statistics, it is possible to analyze it through Artificial Neural Network with lower error rate. This research try to introduce an Artificial Neural Network that is able to predict service quality of university library.Methods: In this applied cross-sectional study, all of Shiraz university of medical science students were assessed. LibQual questionnaire was the instrument of data collection and MATLAB software was being used to analyze data. In addition an algorithm was written to automatic selection of the best network architecture based on lower error rate and higher adaptation rate.Results: for 5 categories of input data and with running of the written algorithm, 5 ANN was created and their matching ratio is 0.77059, 0.6828, 0.81089, 0.79161 and 0.83273 respectively.Conclusion: By comparing the ANNs, it was found that ANN with 20 hidden layer, %80 training data, %16.667 testing data and %3.3333 validation data that be fed with fifth input data, is the most appropriate ANN in quality evaluation of university libraries.

Introduction: Using data mining to develop prediction models from large amounts of data in medicine has become increasingly popular during the recent years. In this study, we intend to use a decision tree data mining algorithm in order to identify factors influencing mortality in burn patients.Methods: The present retrospective descriptive study is based on burning patients’ records.Overall, the medical records of 4804 patients were scrutinized. The collected data were analyzed using statistical software (SPSS version 16), data mining software (Clementine version 12), and CHAID algorithm.Results: The resulting model for predicting survival and mortality of burning patients included the percentage of Total Burn Surface Area (TBSA %), degree of burn, length of stay, gender, and age of patients. Other variables including blood cultures, wound cultures, urine cultures, and the months of patient hospitalization had no effect on improving the efficiency of the model.Conclusion: The proposed model is valid and reliable due to its accuracy (approximately 95%). In fact, the results of this study, some of which are consistent with the results of other studies, can propose a comprehensive, accurate, and reliable local model for predicting mortality and survival of burning patients based on the mentioned variables. Thus, this local model can be used as an important criterion for evaluating the effective treatment of burn patients.

Introduction: Infertility is one of the problems that has caused a lot of psychological and worldly costs on infertile couples. Intrauterine Insemination (IUI) is one of the medically-Assisted Reproduction Techniques (ART) to help infertile couples to have a successful pregnancy. Because of unpredictable results of this technique, identifying the factors influencing the effectiveness of IUI is important. The aim of this study was to identify factors influencing the failure of IUI using data mining techniques.Methods: By utilizing K means algorithm, a descriptive technique of data mining, and Davis- Buldin index, the patients were divided into seven clusters and the features of each cluster were analyzed.Results: Increasing age, overweight, obesity, length and type of infertility in women appeared to be effective factors which were revealed by cluster analysis and investigation of the features of each cluster. Male factors including duration of infertility and spermogram type were other causes of failure in this method of infertility treatment.Discussion: By analyzing the results of clustering technique, the effective factors in the failure of IUI treatment in infertile couples were identified. The obtained results of clustering technique with the consultant of experts can be used for predicting the result of IUI treatment and helping researchers, physicians and infertile couples to choose the best treatment.

Introduction: Nowadays, knowledge sharing has become a source of gaining competitive advantage. The purpose of this paper is the identification and authentication of factors influencing intra-organizational knowledge sharing as well as proposing a model of knowledge sharing among faculty members engaged in medicine in universities and research centers.Methods: The present study was based on mixed method and applied research which was conducted in 2012. The study population constituted 423 faculty members of medical universities and research centers in Iran selected by means of stratified sampling. Structural equation modeling was used for the model and the data were analyzed using software Spss15 and Amos Graphics.Results: According to the statistical results, among the three factors under study, only the impact of the organizational factors on knowledge sharing was found to be meaningful.Discussion: In the study, the model of intra-organizational knowledge sharing based on the quantitative results of a given questionnaire and some suggestions for improving the knowledge sharing and implementation of educational and research organizations for future research are presented. The results of this study will provide empirical basis for planning and implementing knowledge sharing mechanisms.

Introduction: With the advent of information technology and expansion of medical resources, physicians face problems in search and retrieval of medical information. A need for a medical liberian to assist them to increase their skills and hence improve the clinical services rendered to patients is greatly felt. The purpose of the study was to identify and determine physicians’ viewpoints concerning the medical Liberians role in providing the service at Alzahra Medical center.Method: This survey was an analytical, applied and cross sectional study in which data were collected by means of a questionnaire. The population were 212 doctors in Alzahra Hospital.137 physicians were randomly selected on the basis of Morgan Table. Content validity was determined by the experts, and reliability of the questionnaire were measured by chronbach’s alpha (Cronbach Alpha was 0.74). Finally data were analyzed by SPSS18, using descriptive and inferential statistics (nonparametric tests using Man-Whithney, one-way analysis of variance, Kolmogorov-Smirnov, Kendall correlation coefficients).Results: 60.3% of the participants mentioned lack of time as an obstacle in accessing the new information.52.5 % acknowledged the need to help them search the information. There was no significant difference between male and female participants and work experience in regards with the need to medical librarians in Al Zahra Hospital. There was no significant difference between their familiarities with databases with need to the need to medical librarians in Al Zahra Hospital.Conclusion: On the basis of the findings of the study, trained medical liberians to provide assistance in the search of medical sources is needed as physicians do not have sufficient time to meet their needs to information.

Introduction: The literature and the experiences of different countries, introduces the implementation of organizational excellence models in health care sector as a way to achieve a developed health care system. This study focused on the process of re-conceptualization of Customer Results criterion in organizational excellence model.Methods: The first edition of the criterion was designed through library studies and synthesizing method. Then, two questionnaires were designed and Delphi Method was used to collect experts' ideas on the criterion. Cronbach’s Alpha was used to test the reliability of the questionnaires.Content Validity was also used to test its validity. The second edition of Customer Results criterion was prepared using Focus Groups and in the third stage, the second edition was reviewed in National Productivity and Excellence Award committee. For the fourth stage the criterion was uploaded to the website of Award then the health and treatment committee of award, as well as the managers and experts in the field of organization excellence and award assessors were asked to give their opinions on the criterion which was then revised according to the collected opinions.In the final stage, the model was implemented in 23 hospitals to test its validity and then necessary modifications were applied.Results: There are more than 200 points for a better understanding of general organizational excellence model in health and treatment sector. They are categorized into two groups: 156 guide points for sub criterion of organizational excellence model and 95 complementary points which are supplement guide points.Conclusion: The re-conceptualization process of Customer Results criterion in the European Foundation for Quality Management Excellence Model for the Health Care Sector covers different aspects of the criterion. Therefore, it can be used by many users and when implemented can help them achieve the most developed health care system.