Comprehensive Review of Factors Influencing the Use of Telepractice in Stuttering Treatment / 대한의료정보학회지

Objectives@#Stuttering is a speech disorder characterized by the repetition of sounds, syllables, or words; prolongation of sounds; and interruptions in speech. Telepractice allows speech services to be delivered to patients regardless of their location. This review investigated factors influencing the use of telepractice in stuttering treatment. @*Methods@#Articles related to the application of telepractice in stuttering were searched using the Scopus, Web of Science, PubMed, Cochrane, and ProQuest databases without consideration of any time limit. Initially, 79 articles were found and after application of the inclusion and exclusion criteria, 15 articles were selected for the review study. Data were analyzed by using the content analysis method and synthesized narratively. @*Results@#Factors influencing the use of telepractice in stuttering treatment were categorized into individual, technical, clinical, and economic factors. Providing access to healthcare services, maintaining personal privacy, and allowing flexibility in arranging appointments were among individual factors. In terms of the technical factors, technical problems and Internet speed were addressed. Clinical factors were divided into positive and negative outcomes, and economic factors were mainly related to time and cost savings. @*Conclusions@#Although patients may benefit from using telepractice, the widespread adoption of this technology can be hindered by some technical and non-technical factors. Because telepractice can be employed as a complementary method to treat stuttering, more attention should be paid to the required infrastructure and factors that may negatively impact the use of this technology.

Injury surveillance information system: A review of the system requirements / 中华创伤杂志(英文版)

PURPOSE@#An injury surveillance information system (ISIS) collects, analyzes, and distributes data on injuries to promote health care delivery. The present study aimed to review the data elements and functional requirements of this system.@*METHOD@#This study was conducted in 2019. Studies related to injury surveillance system were searched from January 2000 to September 2019 via the databases of PubMed, Web of Knowledge, ScienceDirect, and Scopus. Articles related to the epidemiology of injury, population survey, and letters to the editor were excluded, while the review and research articles related to ISISs were included in the study. Initially 324 articles were identified, and finally 22 studies were selected for review. Having reviewed the articles, the data needed were extracted and the results were synthesized narratively.@*RESULTS@#The results showed that most of the systems reviewed in this study used the minimum data set suggested by the World Health Organization injury surveillance guidelines along with supplementary data. The main functions considered for the system were injury track, data analysis, report, data linkage, electronic monitoring and data dissemination.@*CONCLUSION@#ISISs can help to improve healthcare planning and injury prevention. Since different countries have various technical and organizational infrastructures, it is essential to identify system requirements in different settings.

Integrating Genetic Data into Electronic Health Records: Medical Geneticists' Perspectives / 대한의료정보학회지

OBJECTIVES: Genetic disorders are the main causes of many other diseases. Integrating genetic data into Electronic Health Records (EHRs) can facilitate the management of genetic information and care of patients in clinical practices. The aim of this study was to identify the main requirements for integrating genetic data into the EHR system from the medical geneticists' perspectives. METHODS: The research was completed in 2018 and consisted of two phases. In the first phase, the main requirements for integrating genetic data into the EHR system were identified by reviewing the literature. In the second phase, a 5-point Likert scale questionnaire was developed based on the literature review and the results derived from the first phase. Then, the Delphi method was applied to reach a consensus about the integration requirements. RESULTS: The findings of the first phase showed that data elements, including patients' and healthcare providers' personal data, clinical and genetic data, technical infrastructure, security issues and functional requirements, should be taken into account before data integration. In the second phase, a consensus was reached for most of the items (mean ≥3.75). The items with a mean value of less than 2.5 did not achieve a consensus and were removed from the final list. CONCLUSIONS: The integration of genetic data into the EHRs can provide a ground for increasing accuracy and precision in the diagnosis and treatment of genetic disorders. Such integration requires adequate investments to identify users' requirements as well as technical and non-technical issues.

Automated Audiometry: A Review of the Implementation and Evaluation Methods / 대한의료정보학회지

OBJECTIVES: Automated audiometry provides an opportunity to do audiometry when there is no direct access to a clinical audiologist. This approach will help to use hearing services and resources efficiently. The purpose of this study was to review studies related to automated audiometry by focusing on the implementation of an audiometer, the use of transducers and evaluation methods. METHODS: This review study was conducted in 2017. The papers related to the design and implementation of automated audiometry were searched in the following databases: Science Direct, Web of Science, PubMed, and Scopus. The time frame for the papers was between January 1, 2010 and August 31, 2017. Initially, 143 papers were found, and after screening, the number of papers was reduced to 16. RESULTS: The findings showed that the implementation methods were categorized into the use of software (7 papers), hardware (3 papers) and smartphones/tablets (6 papers). The used transducers were a variety of earphones and bone vibrators. Different evaluation methods were used to evaluate the accuracy and the reliability of the diagnoses. However, in most studies, no significant difference was found between automated and traditional audiometry. CONCLUSIONS: It seems that automated audiometry produces the same results compared with traditional audiometry. However, the main advantages of this method; namely, saving costs and increased accessibility to hearing services, can lead to a faster diagnosis of hearing impairment, especially in poor areas.

Comparing the performance of data mining algorithms in predicting Coronary Artery diseases

Introduction: Cardiovascular diseases are the first leading cause of death worldwide. World health organization has estimated that the morality rate due to heart diseases will mount to 23 million cases by 2030. Hence, the use of data mining algorithms will be useful in predicting coronary artery disease. The objective of the present study was to compare the accuracy of the CAD predictions made by ANN and SVM techniques

Methods: The present study was conducted via descriptive-analytical method. The research sample included all CAD patients hospitalized in three hospitals affiliated to AJA University of Medical Sciences from March 2016 to March 2017. Totally, 1324 records with 26 characteristics affecting the disease were extracted and after normalizing, and cleaning of the data, they were entered in SPSS statistics V23.0 and IBM Excel 2013; then, R3.3.2 data mining software was used to format data

Results: SVM model with lower MAPE [112.03] and higher Hosmer-lemeshow statistic [16.71], sensitivity [92.23] and specificity [74.42] yielded better fitness of data and provides more accurate prediction than ANN model. On the other hand, since the area under the ROC curve in SVM algorithm was more than that in ANN, it could be concluded that this model had higher accuracy

Conclusion: According to the results, SVM algorithm presented higher accuracy and better performance than ANN model and showed higher sensitivity and accuracy. It is suggested that in future studies, the results of the present study be compared with the findings resulted from applying other data mining algorithms

Patient Accounting Systems: Are They Fit with the Users' Requirements? / 대한의료정보학회지

OBJECTIVES: A patient accounting system is a subsystem of a hospital information system. This system like other information systems should be carefully designed to be able to meet users' requirements. The main aim of this research was to investigate users' requirements and to determine whether current patient accounting systems meet users' needs or not. METHODS: This was a survey study, and the participants were the users of six patient accounting systems used in 24 teaching hospitals. A stratified sampling method was used to select the participants (n = 216). The research instruments were a questionnaire and a checklist. The mean value of > or =3 showed the importance of each data element and the capability of the system. RESULTS: Generally, the findings showed that the current patient accounting systems had some weaknesses and were able to meet between 70% and 80% of users' requirements. CONCLUSIONS: The current patient accounting systems need to be improved to be able to meet users' requirements. This approach can also help to provide hospitals with more usable and reliable financial information.

Confirmation of Expectations and Satisfaction with Hospital Information Systems: A Nursing Perspective / 대한의료정보학회지

OBJECTIVES: This study aimed to compare nurses' satisfaction with, and expectations of, hospital information systems in two teaching hospitals. METHODS: This was a survey study, which was completed in 2014. The potential participants were 267 nurses who worked in two teaching hospitals and used the same hospital information system. Data were collected using two questionnaires. Both questionnaires were examined in terms of content validity and reliability. RESULTS: The results showed that, for a majority of nurses, their expectations of the system were not met in either hospital. Moreover, there was a significant association between the nurses' expectations and the perceived usefulness of the systems (p < 0.001), between the nurses' expectations and their satisfaction with the systems (p < 0.001), and between the perceived usefulness and nurses' satisfaction with the systems (p < 0.001). CONCLUSIONS: The results suggested that, apart from the technical issues of implementing clinical information systems, non-technical factors should be taken into account. Among them, the nature of clinical tasks and the organizational culture require more attention to allow a successful system to be designed and implemented.

accuracy of intraoperative aspiration cytology in diagnosis of ovarian tumors

To determine the accuracy of cytology in intraoperative diagnosis of ovarian tumors and to compare it with frozen section [F.S] and permanent section. We compared the accuracy of intraoperative cytology [I.O.C] with F.S in 105 cases of ovarian tumors received in Urmia Imam Khomeini and Shahid Motahari hospitals during March 2007 to March 2008. Sensitivity of both techniques of F.S and I.O.C was 93.1%. Specificity of F.S and I.O.C were 98.7% and 94.7%, respectively. Positive predictive value of F.S was 96.4% and of I.O.C, 87.1%. Negative predictive value of both methods was 97.4%. Accuracy of F.S and I.O.C were 97.1% and 94.3% respectively. The area under receiver operating characteristic [ROC] curve was 0.959 for F.S and 0.939 for I.O.C. These results showed that intra operative cytology can be performed for intraoperative diagnosis of ovarian tumors as an alternative to Frozen Section [FS], however combination of these two techniques is more reliable