Objective Since the clinical manifestations of many oral diseases can be quite similar despite the wide variety in etiology and pathology, the differential diagnosis of oral diseases is a complex and challenging process. Intelligent system for differential diagnosis of oral medicine using the artificial intelligence (AI) capabilities helps specialists in achieving differential diagnosis in a wide range of oral diseases. Materials and Methods First, the essential data elements to design and develop an intelligent system were identified in a cross‐sectional descriptive study. The case‐based reasoning method was selected to design and implement the system, which consists of three stages: collect the clinical data, construct the cases database, and case‐based reasoning cycle. The problem is solved by CBR method in a cycle consisting of four main stages of retrieval, reuse, review, and retention. The evaluation process was conducted in a pilot‐based way through the evaluation of the system's performance in the clinical setting and also using the usability assessment questionnaire. Results The output of the present project is a web‐based intelligent information system, which is developed using the Visual Studio 2015 software. The database of this system is the Microsoft SQL Server version 2012, which has been programmed based on Net framework (version 4.5 or higher) using Visual Basic language. The results of the system evaluation by specialists in clinical settings showed that the system's diagnosis power in different aspects of the disease is influenced by their prevalence and incidence. Conclusions System development using the artificial intelligence capabilities and through the clinical data analysis has potential to help specialists to determine the best diagnostic strategy to achieve a differential diagnosis of a wide range of oral diseases. The results of evaluation present the potential of the system to improve the quality and efficiency of patient care.
BACKGROUND: Oral soft tissue diseases include a broad spectrum, and the wide array of patient data elements need to be processed in their diagnosis. One of the biggest and most basic challenges is the analysis of this huge amount of complex patient data in an increasing number of complicated clinical decisions. This study seeks to identify the necessary steps for collecting and management of these data elements through establishing a consensus-based framework. METHODS: This research was conducted as a descriptive, cross-sectional study from April 2016 to January 2017, which has been performed in several steps: literature review, developing the initial draft (v. 0), submitting the draft to experts, validating by an expert panel, applying expert opinions and creating version v.i, performing Delphi rounds, and creating the final framework. RESULTS: The administrative data category with 17 and the historical data category with 23 data elements were utilized in recording data elements in the diagnosis of all of the different oral diseases. In the paraclinical indicator and clinical indicator categories, the necessary data elements were considered with respect to the 6 main axes of oral soft tissue diseases, according to Burket's Oral Medicine: ulcerative, vesicular, and bullous lesions; red and white lesions of the oral mucosa; pigmented lesions of the oral mucosa; benign lesions of the oral cavity and the jaws; oral and oropharyngeal cancer; and salivary gland diseases. CONCLUSIONS: The study achieved a consensus-based framework for the essential data element in the differential diagnosis of oral medicine using a comprehensive search with rich keywords in databases and reference texts, providing an environment for discussion and exchange of ideas among experts and the careful use of the Delphi decision technique.
Background: Educational role is one of the most important roles of librarians, which has taken on wider dimensions. A review of the literature on the training programs provided by librarians revealed an evolution of the ideas and trends in this area. This systematic review aimed at providing a clear image of the available educational programs, their target groups, and the way they are performed. Methods: This systematic review was done to identify different aspects of the educational role of medical librarians. It was conducted on the studies published in PubMed database during 2005 and 2015. All the studies that described the educational activities of medical librarians were considered for inclusion. All the studies were evaluated by 2 researchers using a checklist, which was developed as an assessment tool. Variables that were considered were as follow: skills taught by librarians, target group, providing training on information resource, teaching method, and session location. After data extraction process and appraisal, the mentioned variables were classified into main categories. Results: A total of 24 studies met the inclusion criteria. The training skills taught by librarians were classified into 3 main groups: information literacy, evidence-based practice, and health literacy. The target groups were library users, patients, and health professionals. Group training was provided, and if necessary, personal training was also offered. Recently, synchronous online training has also been added to the training methods. Most of the training programs are held in classrooms. Conclusion: By categorizing different aspects of training programs, this study aimed at providing a basis for designing a framework to identify the tasks of educational librarians in health sciences.
Purpose This study aims to highlight the role of librarians as an essential element in medical research. For this purpose, the primary research process was divided into three phases: before, during and after. Then, the roles of librarians associated with each phase were separated and the viewpoint of researchers and librarians on the importance of these roles were considered and compared. Design/methodology/approach This comparative, descriptive-causal research was conducted using the census method. Birjand University, a type-2 university in the field of Medical Sciences according to the rating of the Iranian Ministry of Health and Medical Education, was selected for the study. The participants were all faculty members and all librarians working in the university’s libraries. The data collection tool was a questionnaire made by authors. Its validity was confirmed by four professors of Library Science, and questionnaire design expert and its reliability was confirmed with a Cronbach's alpha of 0.89. Data were analyzed with the Statistical Package for the Social Sciences, using descriptive statistics. Findings From the perspective of researchers, awareness-raising for open access resources, determination of standard subject keywords on the basis of Medical Subject Headings for articles and scientific texts and using scientific research findings as a basis for preventing duplicate studies in future research are the most important roles for librarians in the three stages of medical research. From the perspective of librarians, the use of knowledge management skills, searching scientific information as review of the literature and also selecting standard keywords to search the databases and providing health-care professionals with the findings of latest scientific research have the highest place in the different stages of the research lifecycle. Originality/value The difference between the viewpoints of librarians and researchers about the role of medical librarians at the various stages of the research lifecycle shows that there are significant gaps between the librarians’ services and users’ expectations. It is expected that through learning modern professional skills, medical librarians can assume new roles in medical research and make their capabilities known and available to researchers.
Background: Congenital hypothyroidism is the most common congenital disorder of the endocrine system, leading to preventable mental retardation. Objectives: We aimed to evaluate the current status of congenital hypothyroidism information registry systems. Methods: In this systematic review 290 papers identified. A total of 254 articles were screened, of which 17 qualified articles were selected through the databases of Scopus, science direct ProQuest, PubMed, as well as the search engine Google scholar (no restriction on date of publication) up to 2020, were searched. Inclusion criteria were the Articles with the English language that examining information registry systems on congenital hypothyroidism. Articles whose full texts were not accessible, case reports, and letters to the editor had to be excluded. Results: This study showed that the primary goal of nearly half (50%) of the information registry systems for congenital hypothyroidism is to evaluate the efficiency and effectiveness of the screening program. Other information registry systems for congenital hypothyroidism have examined the epidemiology of the disease in 4 studies (23.6%), monitoring iodine deficiency in 3 studies (18%), surveillance disease in 1 study (6%), and describing the clinical and familial features of the patient in 1 study (6%). Conclusions: Few studies have been done on developing information registry systems, and most studies have focused on the use of information systems in this field. Further comprehensive reviews are recommended to investigate the infrastructure of the commission national registry and world network to record information units on congenital hypothyroidism.
BACKGROUND:The first step toward organizing research activities is to obtain a correct perception of available capabilities. This study was conducted to investigate the researchers’ views about barriers affecting research activities.METHODS:This descriptive, cross-sectional study was conducted using the census method. The population consisted of the faculty members of Birjand University of Medical Sciences in 2014. The research tool was a questionnaire in six areas of financial, facility, professional, scientific, personal, and organizational– managerial barriers. The results were analyzed using descriptive statistics and Friedman test.RESULTS:Faculty members confirmed that although all barriers affected research activities, organizational–managerial barriers (3.73 ± 0.63) had the greatest and scientific barriers (3.15 ± 0.93) had the lowest effect, respectively. The results of Friedman test showed that there is a significant difference between the mean values of factors related to various barriers affecting research activities from the viewpoint of the participants’ answers.CONCLUSIONS:Research activities are affected by numerous barriers. Strategies, such as empowering researchers, employing new technologies in the creation of research teams, and benefiting from research experts in various stages of research, may have a positive effect on the removal of the barriers.
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