مجله انفورماتیک سلامت و زیست پزشکی
پیاپی 2 (تابستان 1393)

Today, using information technology in organizations is necessary. The Picture Archiving and Communication System (PACS), as a computer tool, can provide conditions to create no movies medical imaging centers, if companied with other requirements. On the other hand, the evaluation of technology acceptance can be helpful in successful implementation of system. The aim of this study was to determine the effective factors in adopting Picture Archiving and Communication System (PACS) in Shiraz educational hospitals. The present study is a cross-sectional descriptive analytical survey. The study population consisted of all radiology staff in Shiraz educational hospitals that used picture archiving and communication system. The data gathering tool was TAM questionnaire and data were analyzed using SPSS v.17 software, and descriptive statistical methods and statistical correlation tests such as regression, independent sample t-test and ANOVA. The findings shown that perceived ease of use was significantly correlated with both perceived use and actual use (r=0.2, r=0.1) respectively. Perceived usefulness was also significantly correlated with perceived use and actual use (r=0.5, r=0.1) respectively. The results shown that perceived usefulness and perceived ease of use are effective factors in adopting PACS that must be considered in evaluation and planning.

The Importance of disease classification for facilitating medical research is clear. The Medical diagnosis classification is usually done through International Classification of Disease (ICD) system. Sometimes, diagnostic terms in medical records require to be replaced by equivalent term according to international classification of disease system. In order to optimize the patient’ medical records, using information technology, especially designing and developing application in classification of local medical diagnosis are recommended. This research aimed to identify local cardiovascular diagnoses and develop an application for classification and coding them. This research is an applied study, conducted on 500 medical records in Mashhad Imam Reza and Ghaem hospitals. After that, the concept mapping developed between diagnostic terms and the ICD terms. Data were collected through observation, interview, and checklist, and then the application was developed for coding diagnoses. Furthermore, the coding agreement coefficient related to first and second final diagnoses recorded in medical records was calculated among three raters via interclass correlation coefficient (ICC). In this research, 1081 codes were investigated and 676 diagnoses of them were recorded in the record summary form. The number of the local diagnoses and abbreviations with their codes were 147 cases. The coding agreement rate among raters was 70% and 88% in the first and second final diagnosis, respectively. Due to the excellent agreement between raters about the local cardiovascular terms performed through the coding application, it can be concluded that the designed application has high reliability in coding and can be used for classification of diagnoses in different hospital departments.

Gastric cancer is the second cause of death from cancer after lung cancer in the world It`s incidence is varied in different regions of the words. Due to the prevalence rate of the disease and high mortality rates for gastric cancer in the country, it is necessary to examine the influential factors in the incidence of this disease by more accurately and scientific methods. The purpose of this study is to examine this factor with data mining techniques. The required data for this study was collected from patients referring to Imam Reza Hospital, Tabriz. After applying data pre-processing, totally 490 records were collected in an Excel file samples including 220 cancer cases and 270 normal specimens. The best rules based on the datasets were extracted by using Apriori algorithm implemented in MATLAB software and final data set. In this study, gastric cancer datasets and features affecting the incidence of this disease have been used for the first time. The results showed that risk for gastric cancer in people with cardiovascular disease are less. In addition, gastric reflux is associated with not using salt and milk, and high salt intake. Gastric reflux has also the most influence on creating this disease. Some rules were obtained by using Apriori algorithm that can be used as a model to predict the status of patients and the incidence of this disease. Nowadays Due to massive amounts of medical data, knowledge can be extracted from datasets by using data mining approach. In this study, some rules were extracted by using Apriori algorithm that can provide physicians with great help to examine the causes of this disease.

In today’s world by the appearance and the rapid growth of new information technologies, the presence of an expert for finding the information has an important role to meet information needs in medical university. This study was aimed to survey the attitudes of graduate students in presenting medical librarian services in searching and finding information process. This study is a practical and descriptive-analytical survey. The study population consisted of 650 graduate basic science students in Kerman medical university. In this research, the sample size was selected 150 cases by Cochrane formula and as a simple random. Validity of the questionnaire was confirmed by experts and for measuring reliability, interior/internal consistency method (Cronbach coefficient equal to 82%) was used. Data was analyzed using SPSS. 18 software. In our population study of graduate basic science students in Kerman university of medical sciences, 60.7% were approved with searching and retrieval information services by medical librarians, 61.7% were agreed with the searching services by medical librarians and 61.3 % were approved the educational services by medical librarians and finally the graduate students’ mean attitudes about searching and retrieval information services was evaluated 4.13 which was in desirable level. The results of this study showed that the students have a positive attitude toward medical library services and medical librarians played very important role for giving educational and research services, researching and retrieval information in university system.

Medical records are considered as an essential element of patient’s health care provision. Due to a rising service provision by healthcare centers, there is an increase in the medical record loads as well. It has led to a series of problems, such as limited physical space, records wearing and an increased need for resources. Moreover, the most important efficiency of records, which is their application in clinical research, is questioned. In the present study, researchers have presented a model of minimum data sets which helps to index and electronically archive hard-copy records according to the selected data and metadata. This study was an applied research type, conducted in three stages in 2013 via modified Delphi technique. Target population consisted of specialists working in hospitals. As the sample, 8 physicians who were specialists or subspecialists participated in interviews and filled out checklist surveys. The collected data were later analyzed using Excel 2013. The results show that data elements such as “final diagnosis” and “operations and others” were the most common items considered by the physicians in clinical follow up, and most common medical records was “operation’s repots”. Finding significant correlation among physician’s research questions was not possible due to large variety of subjects. The researchers presented a framework of minimum data sets for a purposive archiving of records for clinical and research-based applications. This framework can act as the applied goal setting of the retrieval model based on physicians’ clinical requirements in their medical follow-ups. Furthermore, considering physicians’ needs for accessing records through analyzing their probable requests can provide a possibility of data retrieval in diverse conditions.

Nowadays, telemental health service is one of the most popular and the most successful telemedicine applications. Because of its simplicity and widespread usage of this technology, telemedicine have the largest share of data and can improve coordination between physical and behavioral health services. The purpose of using telemental health services is to provide affordable health services to patient and to improve impacts of unfair distribution of mental health care professionals. This descriptive cross-sectional study was conducted in 2013. Data collection was performed using a researcher- made questionnaire that its validity and its reliability was confirmed by experts’ opinion and test- retest respectively. Data analysis was performed using SPSS.v17 software and descriptive statistics. The results showed that the student's awareness of concepts and applications of telemedicine in the health sector was moderate. In the sector of telemental health care effect, the most and least mean related to decrease in patients’ waiting time (3.5) and be a proper substitute for mental health care instead of physical examination (2.6), respectively. The most mean (2.8) of awareness about telemental health technology related to students of Azad Islamic university and the least one (2.3) belong to students of medical university. All of the participants had a positive attitude toward using remote mental health services as an effective and efficient treatment and also they believed that, remote mental health services act as a reliable and proper substitute for providing mental health care in difficult situations. Despite the positive attitude toward using this technology, still questions about the effectiveness and efficiency of the procedure is controversial issue and to answer the question, "Can does this technology be replaced permanently with the face to face treatment?" More researches are needed.

The Length of Stay (LOS) in the hospital is used as an indirect indicator of resources consumption and efficiency in hospitals. Identifying factors associated with this systematic review can be valuable in planning to optimize the utilization of the existing resources. The goal of the present study was to investigate factors associated with length of stay and it has been conducted as a systematic review. In this systematic review, papers were retrieved by the use of specified key terms in their titles and no restricted time in Persian and English databases. Papers were selected according to how they were in line with the criteria for inclusion and exclusion and finally, information were extracted and entered to Excel 2010 software for analysis. 18 articles out of 347 were selected. These studies introduced four criteria associated with length of stay including clinical, demographic, administrative, and hospital factors. Applied methods for identifying these criteria were statistical techniques and data mining techniques such as decision tree regression and artificial neural networks. The goal of all studies was making a new model for identifying factors associated with LOS or was evaluating other methods introduced in other studies. Findings of this study represent that identifying factors associated with LOS can be variable according to data collection place, studied variables, and applied data mining techniques. So we suggest researchers to help hospital managers and planners with identifying and reducing factors associated with LOS.

At present, the widespread use of information technology in various aspects of life is considered necessary. Although the benefits of information technology has brought widespread access to information, but have several threats to various aspects of human life, including culture, language, mental health, and morality. This study examined the impact of information technology on students’ mental health in Zahedan University of Medical Sciences (ZAUMS) in 2014. In this descriptive, cross-sectional study, 125 students of ZAUMS participated. Data were collected via questionnaire that its reliability and validity was confirmed, and data analysis was performed using SPSS.v16. The most students used the internet and internet skills were higher in boys than girls. The study also revealed that married men more than women, using the internet in neurological conditions for little to calm themselves. In the depression and nervousness conditions, married men students (Mean of 2.33) more than women students are using the internet. The results showed that students had symptoms due to computer games, such as fatigue, backache, pain in hand, fist, neck, shoulder and feet and muscle stiffness. Therefore, it was suggested that effects of internet and computers should be presented via TV and other media to students and their families.