Patrick-Murray Administration Issues South Coast Rail Executive Order and Awards Technical Assistance

BACKGROUND:The migration of healthcare specialists from developing countries has increased in recent years. This has caused a rapid reduction in the access to and quality of healthcare services in such countries. The aim of this study is to evaluate the factors affecting the migration of specialist human resources in Iran's healthcare system. METHODS:This is a qualitative study, which was carried out through semi-structured interviews between 2015 and 2016. For sampling, purposive sampling method with maximum variation sampling was used. Further, data saturation was observed by conducting 21 interviews, and data analysis was performed using the MAXQDA10 content analysis software. RESULTS:Factors affecting the migration of specialists were classified into five key themes, including structural, occupational, personal, socio-political and economic factors. These themes consisted of 12 categories and 50 subcategories. The most important factors affecting the migration of our study population were structural issues, occupational problems, and personal concerns. CONCLUSION:Identification of factors influencing migration is the first step to prevent the migration of specialist human resources. Implementing the recommendations proposed in this study would assist to prevent migration of medical professionals

The Survey to Determine the Accuracy Rate of the Neoplasm Coding in Seyed Al-Shohada Hospital of Isfahan

Introduction: The use of cancer suffering patients' information is possible when this information was organized and categorized properly through encoding the diagnoses and therapeutic procedures. Therefore the aim of this study was to determine the accuracy rate of the neoplasm coding in Seyed Al-Shohada Hospital of Isfahan city in 2011. Method: This study was a descriptive and cross-sectional study. The population of this study were medical records created during the second half of 2011,308 ones of which were selected as sample. A self-designed checklist was the research tool, which was used after validation. Data analysis was performed using SPSS v16. Software through descriptive statistics. Results: Investigating the surveyed records, the researchers found that the accuracy rate of the records in this hospital was 68%. Also the highest accuracy rate of the coding has been associated with neoplasms of the connective tissue (94%). Conclusion: Regarding the obtained results, it is recommended that coding of morphology & related Z codes of neoplasms be set in coders' work order. It is also recommended that continuous educational coding courses be held in order to increase the accuracy rate of the neoplasm coding

Moisture-dependent engineering properties of black cumin (Nigella sativa L.) seed

The moisture-dependent physical properties are important to investigate for designing the post harvest equipments of the product.  The physical properties of black cumin were evaluated as a function of moisture content in the range of 5.1% to 18.75% w.b.  The average length, width, thickness and 1,000 seed mass were 3.11 mm, 1.59 mm, 1.09 mm and 2.76 g, respectively, at moisture content of 5.1% w.b.  The geometric mean diameter and sphericity increased from 1.75 mm to   1.79 mm and 56.34% to 56.98% as moisture content increased from 5.1% to 18.75% w.b., respectively.  In the same moisture range, the bulk density decreased from 539.3 kg/m3 to 486.4 kg/m3, whereas the corresponding true density and porosity increased from 1,009.4 kg/m3 to 1,071.2 kg/m3 and 46.5% to 54.59%, respectively.  As the moisture content increased from 5.1% to 18.75% w.b., the angle of repose, terminal velocity and surface areas were found to increase from 32.5° to 33.3°,    5.6 m/s to 5.92 m/s and 8.14 mm2 to 8.46 mm2, respectively.  The static coefficient of friction increased on four structural surfaces namely, galvanized iron sheet (0.37-0.41), mild steel (0.36-0.39), aluminum (0.32-0.34) and plywood (0.53-0.58) in the moisture range from 5.1%-18.75% w.b.Key words: black cumin, Nigella sativa, engineering properties, moisture content Citation: Gharib-Zahedi S. M. T., S. M. Mousavi, A. moayedi, A. T. Garavand, and S. M. Alizadeh.  Moisture-dependent engineering properties of black cumin (Nigella sativa L.) seed.  Agric Eng Int: CIGR Journal, 2010, 12(1): 194-202.&nbsp

The Performance of Health Information Management Department in Valiassr Hospital

Introduction: With regard to the importance of Health Information Management in improvement of health care services, this study was done to determine the performance of Health Information Management Department of Valiasr hospital of Tehran city in 2017. Methods: This mix-method study was done in 2017. For data collection in quantitative study, a valid and reliable check list and in qualitative study, 8 interviews were used. Excel 2013 and MAXQDA were used for the analysis of quantitative and qualitative data respectively. Results: According to the results, medical coding ward had poorer performance than other wards (2.37 out of 3). The problems of Health Information Management Department of Valiassr hospital were categorized in five main categories including organizational, human resources, financial, infrastructural and hardware and knowledge and professional categories. Also, scan of main sheets was the most important performed activity. Conclusion: With regard to the results of the present study, it is suggested that policy makers pay special attention to Health Information Management

Design and Evaluation of a Mobile-Based Application for Patients With Type 2 Diabetes: Case Study of Shariati Hospital in Tehran, Iran

Background: With regard to the particularly high prevalence, cost, and number of disabilities associated with diabetes, increasing patients’ knowledge and skills for managing the disease can help minimize the risks of complications. Objective: The present study aimed to design and evaluate a mobile-based application with which patients with type 2 diabetes can increase their knowledge of and skills for managing their disease. Methods: The current developmental-applied study was conducted in 2016 in a library and used a 2-step sectional format. The research population comprised 15 physicians and endocrinologists working in medical centers associated with Tehran University of Medical Sciences and 20 physicians and patients. Based on the library study, a checklist was designed and then distributed among participants. Their responses were analyzed using SPSS software version 20. Results: The data was divided into 4 main sections: identity information (patient demographics), clinical information, education curriculum related to diabetes management, and program requirements for diabetes management, which consisted of 52 subsets. The evaluation of the system by doctors and patients showed that the system has high capabilities. Conclusion: Mobile-based programs can help diabetics control blood glucose levels, reduce diabetes complications, and promote overall health

Developing a Clinical Decision Support System for Prediction Postoperative Coronary Artery Bypass Grafting Infection in Diabetic Patients

Background: Postoperative infection in Coronary Artery Bypass Graft (CABG) is one of the most common complications for diabetic patients, due to an increase in the hospitalization and cost. To address these issues, it is necessary to apply some solutions. Objective: The study aimed to the development of a Clinical Decision Support System (CDSS) for predicting the CABG postoperative infection in diabetic patients.Material and Methods: This developmental study is conducted on a private hospital in Tehran in 2016. From 1061 CABG surgery medical records, we selected 210 cases randomly. After data gathering, we used statistical tests for selecting related features. Then an Artificial Neural Network (ANN), which was a one-layer perceptron network model and a supervised training algorithm with gradient descent, was constructed using MATLAB software. The software was then developed and tested using the receiver operating characteristic (ROC) diagram and the confusion matrix. Results: Based on the correlation analysis, from 28 variables in the data, 20 variables had a significant relationship with infection after CABG (P<0.05). The results of the confusion matrix showed that the sensitivity of the system was 69%, and the specificity and the accuracy were 97% and 84%, respectively. The Receiver Operating Characteristic (ROC) diagram shows the appropriate performance of the CDSS.  Conclusion: The use of CDSS can play an important role in predicting infection after CABG in patients with diabetes. The designed software can be used as a supporting tool for physicians to predict infections caused by CABG in diabetic patients as a susceptible group. However, other factors affecting infection must also be considered for accurate prediction

Non-fungible tokens in healthcare: a scoping review

IntroductionNon-Fungible Tokens (NFTs) are digital assets that are verified using blockchain technology to ensure authenticity and ownership. NFTs have the potential to revolutionize healthcare by addressing various issues in the industry.MethodThe goal of this study was to identify the applications of NFTs in healthcare. Our scoping review was conducted in 2023. We searched the Scopus, IEEE, PubMed, Web of Science, Science Direct, and Cochrane scientific databases using related keywords. The article selection process was based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).ResultsAfter applying inclusion and exclusion criteria, a total of 13 articles were chosen. Then extracted data was summarized and reported. The most common application of NFTs in healthcare was found to be in health data management with 46% frequency, followed by supply chain management with 31% frequency. Furthermore, Ethereum is the main blockchain platform that is applied in NFTs in healthcare with 70%.DiscussionThe findings from this review indicate that the NFTs that are currently used in healthcare could transform it. Also, it appears that researchers have not yet investigated the numerous potentials uses of NFTs in the healthcare field, which could be utilized in the future

Survey of Possibility Deployment of Electronic Medical Record in Shiraz Teaching Hospitals

Introduction: Electronic Medical records is one of the new technologies for utilization of patient's health information known as a system to access the valuable information in hospitals. The purpose of this study was to determine the possibility of Electronic Medical Records system deployment from the perspective of medical records staff at Shiraz teaching hospitals. Method: This study was a descriptive analytical and cross-sectional study, the data of which were collected through a questionnaire. The study population consisted of all the staff working at medical record department in Shiraz teaching hospitals. Data were analyzed using SPSS v.17 software, descriptive statistical methods, and one-way ANOVA test. Results: Among the studied hospitals, the rate of awareness with electronic medical record was high (x = 3.66), and there were kind of technical, organizational, and legal requirements among these hospitals. There were not significant differences among hospitals (P-value> 0.05). Four of the six hospitals were properly ready in preparation for the deployment of electronic medical records, and two of them were somewhat prepared to deploy their electronic medical records. Conclusion: It is suggested that authorities take the necessary decisions to implement and enforce electronic medical records regarding its technical, organizational, and legal requirements

The Factors Affecting the Adoption of Electronic Medical Record based on Information Technology Adoption Theories: A Review Article

Introduction: Electronic Medical Records, which is a valuable system to access the patients information at the hospital, is one of the innovative technologies for the utilization of health information. For its successful implementation, this system should be assessed regarding the factors affecting its adoption and use. The purpose of this study was to review the published articles on the factors influencing the adoption of electronic medical records systematically and according to Information Technology Adoption Theories and to identify and classify the factors affecting the adoption of this system. Method: The present study is a systematic review survey. Data were collected by searching strategy in valid databases such as Google Scholar, Emerald, Science Direct, SID, MagIran, IranMedex, Pubmed from 2004 to 2014, and then the data were recorded on checklist. Results: Among the studies that use information technology theories to survey the factors affecting adoption of electronic medical record, TAM model was used more than other models. Factors such as perceived ease of use, perceived usefulness, and social influence of TUATU are the most effective on adoption of electronic medical records. Conclusion: The results of the study showed, perceived ease of use, perceived usefulness, and social influence are effective factors in adopting EMR. Consequently these factors are recommended to be considered in planning to run systems