An evaluation of the risk factors associated with implementing projects of health information technology by fuzzy combined ANP-DEMATEL.

BACKGROUND: Application of a Clinical Information System (CIS) like Electronic Patient Record (EPR), PACS system and CPOE has turned into one of the most important criteria of priorities of health care systems. The aims of the clinical information system include improving the physicians' efficiency level, integrating the caring process, and expanding the fuzzy quality of the services offered to patients. Achievement of these benefits in reality is not an easy task, and there are lots of plans in this field which are doomed to failure. About 50% of the implementation plans of clinical information systems in health care organizations have failed, and this trend is significantly affecting industrial countries. Proper implementation of hospital information systems lies in identifying and assessing the relationships among the most important risk factors of fuzzy. The present study aimed to provide an applicable model for identifying, ranking and evaluating the risk factors associated with projects of clinical information technology in hospitals of Shiraz University of Medical Sciences. METHOD: This is an applied study which evaluates the risk factors associated with implementation of clinical information technology projects in hospitals of Shiraz Medical Sciences University. The participants consisted of professionals and senior experts of clinical information technology. Fuzzy logic was used in this study. We also applied ANP-DEMATEL combined model with fuzzy procedure to provide the analytic model of the study. RESULTS: According to the study findings, lack of top-executive supports, and unstable organizational environment were the two most important risk factors, while the main organizational factors and technology were also highly important. In addition, the factors associated with technology had the highest influence on the other studied risk factors. CONCLUSION: Hospital authorities can benefit from this proposed model to reduce the risk of implementing the projects of clinical information technology and improve the success coefficient of the risk of such projects.

The effectiveness of acceptance and commitment group therapy on social anxiety in female dormitory residents in Isfahan university of medical sciences.

AIM AND BACKGROUND: Social anxiety can interfere with performance and academic success in students. One of the third-generation treatments for social anxiety is acceptance and commitment therapy. Therefore, the current study aims to determine the effectiveness of acceptance and commitment group therapy on social anxiety of female dormitory residents of Isfahan University of Medical Sciences. METHODS: This was a semiempirical study with pre- and posttest conducted on 71 female students living in the dormitory of Isfahan University of Medical Sciences. The study was carried out in five training sessions using the Liebowitz Social Anxiety Scale and second version of acceptance and commitment scale whose validity and reliability were confirmed. Data were analyzed using Student's t-test. RESULTS: The findings showed that acceptance and commitment group therapy has affected the social anxiety in female dormitory residents of Isfahan University of Medical Sciences (P < 0.0001). CONCLUTIONS: The findings of this study can be used by student deputies of universities, consultation centers, as well as counselors and psychologists to improve the conditions for students.

Evaluation of the gray level of restorative materials using cone-beam computed tomography: A cross-sectional study.

BACKGROUND: Densitometry plays an important role in the diagnosis and treatment planning. Due to diversity in density, equal amounts of different materials absorb various amounts of X-rays and yield different radiographic views. OBJECTIVES: The aim of this study was to evaluate the gray scales of 5 commercially available restorative materials, including amalgam, composite resin, flowable composite resin, glass-ionomer, and Dycal. MATERIAL AND METHODS: Samples of the 5 test materials from various manufacturers were prepared, each 5-millimeter-thick. There were 7 glass-ionomer samples and 10 of each of the other materials, making a total of 47 samples in the study. The test materials were scanned using a Kodak cone-beam computed tomography (CBCT) unit. Subsequently, the gray scales were determined and evaluated by a radiologist using OnDemand3DTM Dental software and analyzed with SPSS v. 22 software. RESULTS: Amalgam had a higher gray scale than the other groups of restorative materials. In some cases, it was the same as that of composite resin; however, it was significantly different from gray scales of flowable composite resin, glass-ionomer and Dycal. It was concluded that composite resin and amalgam were high in gray scale, while flowable composite resin, glass-ionomer and Dycal exhibited low gray scales. CONCLUSIONS: Amalgam and composite resin had high gray scales, and glass-ionomer and Dycal exhibited the lowest gray scale values. The findings show that CBCT can be helpful in differentiating amalgam and composite resin from other materials.