مجله اطلاع رسانی پزشکی نوین
سال ششم شماره 4 (پیاپی 14، زمستان 1399)

Using machine learning for the early detection of this disease has an important role in improving disease indicators. Therefore, this study aims to design a disease prediction model based on data mining techniques to help in early diagnosis and provide evidence-based services.

This is an applied descriptive studyconducted in 2020. The study population was all patients (800 people) referred to Taleghani Hospital in Abadan for diagnostic tests. The data were derived from the electronic records of during 2009-2010. The Spearman correlation method was used to identify the effective factors in determining the risk of CRC. Then, Binary Logistic Regression (BLR) analysis and Enter method, effective factors in determining the risk of CRC were identified. Finally, the regression prediction model for CRC was developed. SPSS 17 was used to analyze statistical data. P-value ≥ 0.05 was considered significant.

Eleven variables using the Spearman correlation coefficient showed a significant correlation with the output class (with and without colorectal cancer). The results of regression-logistic analysis using Enter 7 variables obtained a higher chance than other variables. The results of classifying the research samples using the Forward LR method showed that with this model, accuracy, precision, and sensitivity (91%, 93.5%, and 94.5%, respectively) had high performance.

Designing a risk prediction model based on logistic regression plays an important role in rapid, accurate, and timely screening of patients in improving the quality of care and increasing the life expectancy of patients. The proposed model in the present study can help gastroenterologist to improve the diagnosis accuracy, precision, and effective prediction of high-risk groups.

Information, communication and telecommunication technologies are developing and expanding day by day. One of these new technologies is mobile smart phones, which, in addition to their communication roles, can be used in the fields of information and education.

This is an applied and descriptive study. The statistical population of the study was 360 students of Abadan School of Medical Sciences who were selected by stratified and simple random sampling. In order to collect data, a researcher- made questionnaire by Abdolreza Yazdi was used with 82% reliability. SPSS software version 26 was used for data analysis.

The findings indicated that the most important motivation for students to use mobile smart phones is sending photos and images, chatting (texting), and watching movies. Also, after laptops, mobile smart phones are the most widely used for access to internet, news, reading books and electronic articles, as well as searching information for academic research. Instant access to information from anywhere, continuous information exchange, the ability to perform multiple tasks simultaneously and fast information retrieval were also introduced as the most popular advantages of mobile smart phones.

Considering that smart phones have played a significant role in daily life; it is necessary to use the various capabilities of these smart devices to advance our goals and solve everyday problems in order to create a life as comfortable and better as possible.

Implementing the Charter of Patientschr('39') Rights and adhering to a professional commitment improve the quality of health care. Therefore, the present study was conducted with the aim of showing the correlation between professional commitment and the level of awareness and observance of the Charter of Patientschr('39') Rights in Nursing and Midwifery staff.

This descriptive-correlational study was performed on 281 nurses and midwives working in Kamali, Bahonar, Alborz (Karaj) and Fayyazbakhsh (Tehran) hospitals. The subjects were collected by stratified random sampling. P Data collection tool was two separate questionnaires. The first part was demographic information, the second part was a two-part questionnaire on the level of awareness and observance of patientschr('39') charter, and the third part was a professional commitment questionnaire. Data were analyzed using SPSS software 16, independent t-test, Pearson correlation, Chi-square, and simple regression analysis.

Nurseschr('39') knowledge and observance of patient rights (49/4±9, 56/2±10/6) were moderate and high in the midwifery group (102/8±9, 76/5±7/3). Also, the professional commitment of the nurses (97±11) was shown at the desired level and for the midwives (83/3±7/7) at a very good level. There was a significant relationship between professional commitment and knowledge and observance of the Charter of Patientschr('39') Rights among nurses and midwives.

Since awareness and commitment are the basis of practice, it is recommended to increase the knowledge of nurses and midwives in areas where they do not have a good level of awareness. In addition, it is essential hospital managers take the necessary steps to implement patientschr('39') rights by holding workshops.

Telecardiology provides a useful diagnostic tool for accurate and rapid diagnosis of patients with cardiac disorders to specialist and general practitioners. In this study, a systematic review was conducted to identify effective components and approaches in Telecardiology, such as the opportunities and challenges of applying this system in different domains.

Information sources or data:

 This review study was conducted by a systematic search for studies and articles of telecardiology in the databases of Scopus, PubMed, Science Direct, ProQuest and EBSCO. The keywords such as  Challenges, Opportunity, Telecardiology, Workflow, Tele electrocardiogram and Telehealth were used to search articles.

Selection methods for study:

 All types of Telecardiology studies were reviewed without time limitation. Articles were reviewed using the PRISMA checklist. Of 6770 articles obtained through database searching, 11 articles were finally included in the study.

Among the most opportunities cited in the articles, we can mention faster and more access to services, reduction of misdiagnosis, and saving time. One of the main challenges of this system is the lack of equipment and physicianschr('39') unwillingness to use technology. Most studies were performed in Australia (29%) and the most frequently reported opportunity was rapid diagnosis (64. 29%).

The results of this study indicate that Telecardiology, in addition to opportunities, also has challenges, but a large number of opportunities indicates the effectiveness of this technology in health care systems.

Children and adolescents are vulnerable to mental disorders. Therefore, identifying the factors affecting this type of disorder in adolescents can be an important step in preventing and controlling these diseases, especially in their early stages, and data mining science can be effective in solving this problem.

The data of the present applied research were collected from the information of 14274 students aged 7 to 18 years registered in the database of the Institute for Primary Prevention of Non-Communicable Diseases of Isfahan University of Medical Sciences. The sample size by using purposive sampling was 5283 students. The data collection tool was the Caspian Questionnaire. For determining the relationship between variables, the simple Bayesian classification method is used. The data were analyzed by RapidMiner software.

In the northern regions, high (daily) consumption of dairy products (milk, yogurt, and cheese), in the southern and central regions high consumption of lunch per week, and in the western regions high consumption of fresh vegetables and cooking are the most important factors affecting ideal mental health. In all four areas, more than half of people with ideal mental health exercise a lot at school each week. Also, the average time of working with computer per week is the most important factor that has a negative impact on mental health.

By examining different areas, the most important factors affecting ideal mental health are nutrition. This shows the importance of the impact of nutrition on this issue. Therefore, making appropriate decisions in the field of nutrition can play an important role in improving the mental health of society and it will lead to improving the performance of individuals in society.

Knowledge, as one of the assets, plays a pivotal role in gaining the competitive advantage of the organization and institutions and is considered the ultimate alternative to production, wealth, and monetary capital.  This study aimed to compare the application of knowledge management among librarians of University of Medical Sciences of Hamadan, Iran, and University of Welfare and Rehabilitation Sciences based on Williams and Bukowitzchr('39')s models.

In this descriptive-analytical study the statistical population includes all librarians (81 individuals) working in libraries of Medical Sciences Universities of Hamadan and Iran, and Universit of welfare and rehabilitation sciences. The method of data collection is Bukowitz and Williamchr('39')s seven-component questionnaire. SPSS statistical software 17 and analysis of variance, Tukey and Kruskal tests were used to analyze the data.

The mean of the studied components at Hamadan University of Medical sciences is about 41units higher than the mean score in the University of Welfare Sciences and at Iran university of medical sciences the maen score is 28 units higher than the Welfare University. Also, the mean for female employees is about 20 units less than male employees (with constant consideration of other variables effect). The other variables did not have a statistically significant effect on this mean.

By summing the scores of all components, this score was statistically significant in the three studied universities and the mean score of Hamedan University library staff was more than the other two universities and the mean score of the staff of Welfare Sciences University was less than the others. It seems that knowledge management has better conditions at Hamadan University of Medical Sciences.

Most clinical care providers such as hospitals need to scan patientschr('39') records and save them electronically. The purpose of this review study is to determine the principles and steps related to scanning medical records in Iran.
Information sources or data: In this study, reputable databases such as SID, Scopus, Web of Science, PubMed, and Google Scholar were searched.

Selection methods for study: 

The keywords "scan" and "medical record" were searched in reputable databases. The articleschr('39') date was limited between 2010-2020 in English databases and between 2005-2020 in Persian databases. A total of 150 articles were retrieved, and after applying the inclusion and exclusion criteria (year of authorship, relevance, access to article texts, and non-duplication), we reached 15 studies, which were thoroughly reviewed. Finally, a conceptual model was drawn for the extracted framework.

After reviewing the relevant texts, the process of scanning medical records in eight stages of document preparation, document scanning, quality assurance (prevention of defects), storage, post-scanning processes, retention and destruction, quality control (identification of defects), tracking and auditing of medical records were examined. The standards required for electronic archiving of medical records are based on case studies including BS10008, DICOM, LOINC, CEN 13606, and HL7.

Scanning medical records and managing them electronically helps reduce common errors in older archiving methods to zero.

The preparation, sale, or use of controlled drugs (CDs) require close regulation, and misuse of these drugs can have irreversible side effects. Therefore, the present study aimed to design a web-based system entitled San-Tech for monitoring of CDs.

This is a practical development study carried out to design and establish a program to monitor controlled drugs. The study was performed in three stages. At first, the informational and functional elements of the program were identified through interviews and investigations. In the second stage, they were reviewed and approved by experts. Then, this system was designed using the C # programming language, the server with ASP.NET Core API technology, and the user with Angular technology.

The informational elements required for this system included 70 items in the classes of the patient, drug, prescription, physician, specialty, pharmacy. Nine functions are also considered for this system to apply more control over the use of CDs. The system was designed and available for pharmacies at https://pharmacy.hums.ac.ir.

This system can record some information, including patient and physician details, type and number of CDs, and the time of visit. According to this information, pharmacies, as well as Food and Drug Administrations, could monitor the sale and use of CDs