1,507 research outputs found

    Evaluation methods used on health information systems (HISs) in Iran and the effects of HISs on Iranian healthcare: a systematic review.

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    OBJECTIVES: The most important goal of a health information system (HIS) is improvement of quality, effectiveness and efficiency of health services. To achieve this goal, health care systems should be evaluated continuously. The aim of this paper was to study the impacts of HISs in Iran and the methods used for their evaluation. METHODS: We systematically searched all English and Persian papers evaluating health information systems in Iran that were indexed in SID, Magiran, Iran medex, PubMed and Embase databases until June 2013. A data collection form was designed to extract required data such as types of systems evaluated, evaluation methods and tools. RESULTS: In this study, 53 out of 1103 retrieved articles were selected as relevant and reviewed by the authors. This study indicated that 28 studies used questionnaires to evaluate the system and in 27 studies the study instruments were distributed within a research population. In 26 papers the researchers collected the information by means of interviews, observations, heuristic evaluation and the review of documents and records. The main effects of the evaluated systems in health care settings were improving quality of services, reducing time, increasing accessibility to information, reducing costs and decreasing medical errors. CONCLUSION: Evaluation of health information systems is central to their development and enhancement, and to understanding their effect on health and health services. Despite numerous evaluation methods available, the reviewed studies used a limited number of methods to evaluate HIS. Additionally, the studies mainly discussed the positive effects of HIS on health care services

    Determination of minimum data set (MSD) in echocardiography reporting system to exchange with Iran's electronic health record (EHR) system

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    Background: Determination of minimum data set (MDS) in echocardiography reports is necessary for documentation and putting information in a standard way, and leads to the enhancement of electrocardiographic studies through having access to precise and perfect reports and also to the development of a standard database for electrocardiographic reports. Aim: To determine the minimum data set of echocardiography reporting system to exchange with Iran's electronic health record (EHR) system. Methods: First, a list of minimum data set was prepared after reviewing texts and studying cardiac patients' records. Then, to determine the content validity of the prepared MDS, the expert views of 10 cardiologists and 10 health information management (HIM) specialists were obtained; to estimate the reliability of the set, test-retest method was employed. Finally, the data were analyzed using SPSS software. Results: The highest degree of consensus was found for the following MDSs: Patient's name and family name (5), accepting doctor's name and family name, familial death records due to cardiac disorders, the image identification code, mitral valve, aortic valve, tricuspid valve, pulmonary valve, left ventricle, hole, atrium valve, Doppler examination of ventricular and atrial movement models and diagnoses with an average of. Conclusions: To prepare a model of echocardiography reporting system to exchange with EHR system, creation a standard data set is the vital point. Therefore, based on the research findings, the minimum reporting system data to exchange with Iran's electronic health record system include information on entity, management, medical record, carried-out acts, and the main content of the echocardiography report, which the planners of reporting system should consider. © 2016 Zahra Mahmoudvand, Mehran Kamkar, Leila Shahmoradi, Ahmadreza Farzaneh Nejad

    Comparing of emotional intelligence in bright talents and non-talented students in Golestan university of medical sciences

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    هوش هیجانی دیدگاه جدیدی درباره پیش‏بینی عوامل مؤثر بر موفقیت افراددرجامعه را فراهم میسازد. هوش عمومی دربهترین شرایط، تنهاعامل بیست درصدازموفقیت‏های زندگی است. هشتاد درصد موفقیت‏ها به عوامل دیگر از جمله هوش هیجانی وابسته است. درنظام آموزشي ما، اين مشكل وجود دارد كه برهوش شناختی تأكيد و هوش هيجاني كه بي اندازه درسرنوشت افراد اهميت دارند، ناديده گرفته مي شود. این مطالعه به مقایسه هوش هیجانی دانشجویان استعداددرخشان وغیراستعداددرخشان می پردازد. Background and Objective: Emotional Intelligence provides a new perspective to anticipate effective factors on people's success in a society. Cognitive Intelligence, in its best context, is the cause of 20 percent of people's success in their life. 80 percent of success depends on other factors like Emotional Intelligence.In our educational system there is more emphasis on cognitive intelligence than emotional intelligence. Therefore, as EQ is of paramount importance in people's future, this study investigated a comparison between talented and normal students regarding Emotional Intelligence. Materials and Methods: This sectional descriptive study had an analytical approach between two groups and was conducted in 1392 on students of Golestan University of Medical Sciences. 152 students, including 41talented and 111 normal students participated in this study. Instrument of collecting data included a questionnaire with 133 Questions about Emotional Intelligence with N-bar normalization and demographic and educational specification. Analysis of data was performed by ANOVA, T-test and Kruskal Wallis. Results: Findings showed that an average EQ of talented students was 77.103 and that of normal ones was 41.98. Comparison test and T-test showed that there was no significant difference in EQ of students between the two groups (P= 00085). In self-actualization component, there was a meaningful significance between talented and normal students (P=0.004). As a whole, it was worth to note that there was a meaningful difference regarding EQ among talented students with educated fathers (P=0.046). It was also shown that there was a meaningful difference regarding EQ among normal students with educated fathers (P=0.04). Conclusion: Results showed that there was no significant difference regarding EQ between talented and normal students. So it can be said that being talented could not be the only factor to have higher abilities. It is proposed that in measuring talented students' abilities, not only cognitive intelligence but also EQ which causes more than 80 percent of peoples' success in a society should be considered

    The ortho-to-para ratio of ammonia in the L1157 outflow

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    We have measured the ortho-to-para ratio of ammonia in the blueshifted gas of the L1157 outflow by observing the six metastable inversion lines from (J, K) = (1, 1) to (6, 6). The highly excited (5, 5) and (6, 6) lines were first detected in the low-mass star forming regions. The rotational temperature derived from the ratio of four transition lines from (3, 3) to (6, 6) is 130-140 K, suggesting that the blueshifted gas is heated by a factor of ~10 as compared to the quiescent gas. The ortho-to-para ratio of the NH3 molecules in the blueshifted gas is estimated to be 1.3--1.7, which is higher than the statistical equilibrium value. This ratio provides us with evidence that the NH3 molecules have been evaporated from dust grains with the formation temperature between 18 and 25 K. It is most likely that the NH3 molecules on dust grains have been released into the gas phase through the passage of strong shock waves produced by the outflow. Such a scenario is supported by the fact that the ammonia abundance in the blueshifted gas is enhanced by a factor of ~5 with respect to the dense quiescent gas.Comment: 16 pages, including 3 PS figures. To appear in the ApJ (Letters). aastex macro

    Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study

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    This study investigated and compared public sentiment related to COVID-19 vaccines expressed on two popular social media platforms, Reddit and Twitter, harvested from January 1, 2020, to March 1, 2022. To accomplish this task, we created a fine-tuned DistilRoBERTa model to predict sentiments of approximately 9.5 million Tweets and 70 thousand Reddit comments. To fine-tune our model, our team manually labeled the sentiment of 3600 Tweets and then augmented our dataset by the method of back-translation. Text sentiment for each social media platform was then classified with our fine-tuned model using Python and the Huggingface sentiment analysis pipeline. Our results determined that the average sentiment expressed on Twitter was more negative (52% positive) than positive and the sentiment expressed on Reddit was more positive than negative (53% positive). Though average sentiment was found to vary between these social media platforms, both displayed similar behavior related to sentiment shared at key vaccine-related developments during the pandemic. Considering this similar trend in shared sentiment demonstrated across social media platforms, Twitter and Reddit continue to be valuable data sources that public health officials can utilize to strengthen vaccine confidence and combat misinformation. As the spread of misinformation poses a range of psychological and psychosocial risks (anxiety, fear, etc.), there is an urgency in understanding the public perspective and attitude toward shared falsities. Comprehensive educational delivery systems tailored to the population's expressed sentiments that facilitate digital literacy, health information-seeking behavior, and precision health promotion could aid in clarifying such misinformation.Comment: 11 Pages, 5 Figures, and 1 Tabl
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