Journal of Health and Biomedical Informatics
Year:2016 | Volume:3 | Issue:3|Papers Count:8

Introduction: Computerized physician order entry system has an important role in improving the quality of health care in hospitals. Since the viewpoints of users of a technology toward the usefulness and convenient use of that technology has a significant impact on its acceptance, the aim of the present study was to investigate the opinions of physicians and nurses working in Zahedan University of Medical Sciences toward the impact of computerized physician order entry system on the quality of health care services.Methods: This cross-sectional study was performed in six hospitals affiliated to Zahedan University of Medical Sciences in 2016. Study sample consisted of 250 physicians and nurses selected randomly. Data collection instrument was a standardized questionnaire consisted of 30 questions.Data analysis was performed using t- tests and One-way ANOA and through SPSS and PLS software packages.Results: According to the results, hospital staff of ophthalmic specialty hospital had significantly more positive viewpoint about this system (P=0.025). Moreover, those with higher job experience compared to those with less job experience had more positive view on this system (94.08 vs.88.57).This system had a significant effect on the quality of health care services and also on work safety, process and relationships (P<0.05).Conclusion: Computerized physician order entry system can have a significant effect on the quality of health care services and also on work safety, process and relationships.

Introduction: One of the new tools in the field of information technology is business or organizational dashboards that are as a backup in the process of strategic management of organizations. The aim of this study was to design a prototype of a hospital dashboard based on the principles and guidelines of organizational dashboards and evaluating it based on End-user Computing Satisfaction (EUCS) model.Methods: In this experimental study, the prototype of a dashboard was prepared. Then, using survey method, a questionnaire consisted of 16 questions related to the five independent variables of EUCS model (content, accuracy, format, ease of use and timeliness) was designed and evaluated. The validity of the questionnaire was determined (a>0.7). The designed dashboard was given to the study samples (n=36) selected based on Morgan table and through target-based sampling from the study population (n=40). Data were gathered using the questionnaire and analyzed.Results: Comparison of mean of study variables, including satisfaction of the dashboard format, timeliness, ease of use, accuracy and content, with average status showed a significant difference between mean of all variables and their average values.Conclusion: The variables of format and accuracy had respectively the highest and lowest satisfaction rates among users. Users’ satisfaction level of all dashboard factors was equal showing acceptable satisfaction rate of the designed dashboard based on the principles and guidelines of organizational dashboards.

Introduction: Diabetes registry needs a system to collect, process and distribute patients’information. In this field, a software that can completely solve the needs of users is not available. For this, providing an object-oriented operating model in order to implement characters of this software, as the first step in designing diabetes registry software, can be useful.Methods: This is an applied study which has been extracted by exploring the processes and operating models of diabetes registry system, requirements, and coordination of a software system registry. The study population included software operational models of diabetes registry system in Iran and other countries. The method of collecting information included exploring the texts and interviewing which was done through resources and questionnaire.Results: According to surveys conducted, The result of studies was developed on diabetes registry software and operating model in an object-oriented operating model software system.in the end, the main processes of a diabetes registry system were put in five use cases such as case finding, collecting health data, abstracting and coding, reporting, and active follow-up.Conclusion: Given the complexity of diabetes disease and the growing need for more efficient data management, designing and developing comprehensive diabetes registry software is essential in hospitals. Through detailed analysis of the requirements of a software system and its modeling, it can be expected to achieve the effective implementation of the software. A well-designed software in diabetes registry can automate processes of diabetes registry and consequently save the time and financial and human resources.

Introduction: Patients with heart failure experience debilitating symptoms lowering their life quality.Patients must use several methods of self-care in order to reduce symptoms and the rate of hospitalization and to improve their quality of life. The main purpose of this study was to design and create a mobile-based self-care application for patients with heart failure.Methods: This was an applied developmental study. Initially, a questionnaire was prepared to assess information requierments, determine data elements and necessary capacities of the application. Then, 20 cardiologists working in Shahid Madany hospital, the specialty center of cardiovascular surgery affiliated to Tabriz University of Medical Sciences were asked to fill out the questionnaire. The obtained data were analysed and the application was developed accordingly. Finally, in order to evaluate its practical capability and patients’ satisfaction rate, it was used by 10 patients with heart failure.Results: The majority of data elements in the questionnaire were found necessary by the cardiologists.The main features of the designed application included alerts for daily monitoring, visit time and reminders of time of drug use, hypertention, increase of heart rate and weight gain. In evaluation of practical capability of the application by patients, it was evaluated in a good level with the mean score of 7.8 (out of 9).Conclusion: Mobile-based self-care applications can be used to help patients with heart failure to manage their disease and to obtain self-care skills.

Introduction: The microarray technology and production of gene expression data are among the important developments in genetic science that provide ability to study the behavior of thousands of genes, simultaneously. Clustering is one of the most important data mining techniques used in gene expression data analysis. As, the performance of clustering methods is strongly affected by the structure of data, the result of clustering is always uncertain and there is no algorithm that can be used for all kinds of data. In this study, ensemble clustering (combined results of multiple clustering algorithms) was used for gene expression data analysis rather than using a single algorithm.Methods: The performance of ensemble clustering in three gene expression data sets, Nutt-v3, Alizadeh-v2 and SU, were evaluated by adjusted Rand index. Twelve different clusterings resulted from the combination of four clustering algorithms with three dissimilarity matrices were simultaneously applied on data. After merging the results, and running the final clustering, the estimated clusters were compared with actual groups by the adjusted Rand index.Results: The adjusted Rand index for the three data sets of Nutt-v3, Alizadeh-v2 and SU, were respectively 1, 0.9 and 0.58 which shows the remarkable accuracy of the proposed method in detecting patterns in data sets. Moreover, the designed algorithm could detect the actual number of clusters without errors.Conclusion: Ensemble clustering is a powerful and reliable method for gene expression data analysis.Due to the accuracy and quality of this method in detection of real data structures, it can be replaced the individual clustering algorithms.

Introduction: Results of previous studies have showed that there is no comprehensive and standard model for the development of Electronic Health Record (EHR). Therefore, in this study, with the aim of proposing a set of applicable standards for EHR development in Iran, different standards were compared in terms of structure and content, architecture and function aspects.Method: This comparative study was done in 2017 to compare standards of ASTM, HL7 and ISO organization based on their content. Then, a set of required standards for the development of a national electronic health record was suggested.Results: ASTME1384 not only included structure and content standard of EHR and CCR user friendly architecture, but also it considered data exchange. Executive function of HER in DSTU-functional model was significant achievement of Hl7. ISO18308 contained requirements for structure and content of EHR and ISO18306 presented interoperability of data comprehensively.Conclusion: In spite of different activities of standardization organizations in various fields of EHR development, each of them is more comprehensive in some specific aspects. According to the obtained results, for successful development of HER, E1384 is suggested for structure and content, CDA for architecture and DSTU conformance criteria for evaluation.

Introduction: pulmonary computed tomography angiography (CTA) is widely used in the detection of pulmonary embolism. Using these thin slices for studying clinical function of lung is necessary, but it is time-consuming for radiologists. Therefore, several systems have been designed for detection of embolism. The aim of this study was to review and evaluate systems of detection of pulmonary embolism.Methods: In this study, all the articles in databases including IEEE, Science Direct, Medical Physics and SPIE in the field of processing pulmonary computed tomography angiograms and computer-aided detection systems were reviewed. A total of 16 articles between 2002 and 2015 were extracted. Each article presented one CAD system that was evaluated with quantitative and qualitative analysis. To assess systems, the number of images in database, sensitivity and false positive error rate were used.Results: Various systems are designed to detect embolism. Image database is affected by different factors such as pulmonary diseases, noise, the time of taking image, diversity of pulmonary embolism in main and peripheral branches and the number of data. The maximum number of data was 177 samples and the minimum was 3 samples. Sensitivity and the number of false positive errors are good criteria. Among the CAD systems, the sensitivity was 50% to 100% and the rate of false positive was 2- 22.6 per scan.Conclusion: According to the results, in addition to having high sensitivity and low false positive error, detection systems must have large image database of embolism in various branches of vessels.

Introduction: Wearable technologies are generally used in order to monitor physiological parameters and vital signs such as heart rate, respiratory rate, blood glucose, blood pressure and etc.With increasing rate of various diseases like heart attacks, cancer, neurological disorders and diabetes, the need for continuous and long-term monitoring of patients is felt more and wearable technologies can be used in health domain for continuous monitoring and instantaneously processing of patients’ information.Methods: In this study, SID, Magiran, PubMed, ScienceDirect, IEEE and Springer databases were searched with the keyword of ”Usage of wearable sensors and technologies in health” in English sources and the Persianequivalent of “wearable technologies in health” as the keyword in Persian sources. All articles related to the application and features of wearable technologies in health were selected. Repetitive articles and those without full-text were excluded from the study.Results: A total of 100 articles were found that after excluding repetitive and irrelevant articles, just 30 articles were studied. In this study, after examining the papers, general and medical applications of wearable technologies, physiological parameters that can be monitored as well as diseases that can be controlled by these technologies are completely explained.Conclusion: Better understanding of wearable technologies application in health field has an undeniable impact on their advancement. Use of these systems plays an important role in improving the health of people.