Papers by Peyman Rezaei-hachesu
Health science reports, Jul 1, 2023
Informatics in Medicine Unlocked, 2021
The pandemics of major infectious diseases often cause public health, economic, and social proble... more The pandemics of major infectious diseases often cause public health, economic, and social problems. Virtual reality (VR) and augmented reality (AR), as two novel technologies, have been used in many fields for emergency management of disasters. The objective of this paper was to review VR and AR applications in the emergency management of infectious outbreaks with an emphasis on the COVID-19 outbreak. A search was conducted in MEDLINE (PubMed), Embase, IEEE, Cochrane Library, Google Scholar, and related websites for papers published up to May 2, 2020. The VR technology has been used for preventing or responding to infections by simulating human behaviors, infection transmission, and pathogen structure as a means for improving skills management and safety protection. Telehealth, telecommunication, and drug discovery have been among the other applications of VR during this pandemic. Moreover, AR has also been used in various industries, including healthcare, marketing, universities, and schools. Providing high-resolution audio and video communication, facilitating remote collaboration, and allowing the visualization of invisible concepts are some of the advantages of using this technology. However, VR has been used more frequently than AR in the emergency management of previous infectious diseases with a greater focus on education and training. The potential applications of these technologies for COVID-19 can be categorized into four groups, i.e., 1) entertainment, 2) clinical context, 3) business and industry, and 4) education and training. The results of this study indicate that VR and AR have the potential to be used for emergency management of infectious diseases. Further research into employing these technologies will have a substantial impact on mitigating the destructive effects of infectious diseases. Making use of all the potential applications of these technologies should be considered for the emergency management of the current pandemic and mitigating its negative impacts.
International Journal of Information Science and Management, Jul 5, 2021
Due to limited time, physicians often find it challenging to find the exact answers to their ques... more Due to limited time, physicians often find it challenging to find the exact answers to their questions among search engine results; however, question and answer (Q&A) systems can facilitate more rapidly identify accurate solutions. This study aims to develop and evaluate a Q&A system for physicians at Tabriz University of Medical Sciences. Four clinical and informatics experts and the two health information managers agreed on 19 features and themes throughout two focus group meetings. Subsequently, a system was developed on a MySQL database using the PHP web development language and then uploaded to the web. Finally, the system was opened up to 40 users and, over three months, evaluated using a community evaluation questionnaire and the six-dimension Users' Experience Questionnaire. The focus group results in determining the features of the Q&A system consisted of 19 requirements. The average attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty were equal to 1.76, 1.625, 1.9, 1.425, 1.475, and 1.375, respectively. The Q&A system improved the tasks such as share of knowledge, transfer of information, social partnership, and cooperation among users. The physicians were able to obtain the information they required through contact with their co-practitioners over the system.
Modern Applied Science, Jun 26, 2016
Background: In order to obtain information on the health status of students and a healthy communi... more Background: In order to obtain information on the health status of students and a healthy community, having access to health information is critical. Most health information systems designed for adults have data recording limitations for children. The presents study develops the Electronic Health Record of students. Method: The present study is a descriptive-cross sectional study performed in 2015 in primary schools in West Azerbaijan Province. The research tools included the questionnaire and checklist completed 25 school health educators and 5 school health volunteers of health networks. The data elements were presented to the school health educators and three pediatricians. The content validity was determined and its reliability index was measured by Cronbach's alpha test with SPSS version 22. Results: Students' Personal Health Record is a booklet called "Health Certificate" that includes 100% of the demographic information, screening data and students' immunization but it lacked sequence and integrity required to obtain the health information. The school care data and the results of initial admission were documented in none of the schools. Due to low security and privacy of paper information, the reports were unreliable. According to the minor role of the school health educators in the process of documentation of health information, data recording process was reviewed. The revised data elements were approved by 100% without any opposite opinion. Conclusion: Low security and confidentiality of students' health information indicates the need to create electronic systems. Designing electronic health records can be a major step in creating a database with the ability to communicate and exchange electronic health records.
International Journal of Electronic Healthcare, 2018
Background and Objectives: Road traffic accidents are a major cause of death and disability. Each... more Background and Objectives: Road traffic accidents are a major cause of death and disability. Each year between20-50 million people suffer non-fatal injuries in the world wide. Injuries and disabilities affect a person's future life and reduce life quality. The aim of this study was to study of the functional disability in patient hospitalized due to road traffic accident sat the Shohada Hospital in the first six months of 2014. Materials and Methods: A cross sectional study was performed on 828 injured people who were admitted to the hospital following a road accident. The functional disability was assessed in end hospitalization in hospital. Sampling was done using regular sampling. Data were collected by the valid checklist and analyzed by using chi-square test. Results: The road traffic accidents were the second cause of admissions. About 83% of the patients were men and 13.8% of the patients were in the age group 21-30. More than half (53.1%) of the patients had lower extrem...
BMC Infectious Diseases
Background Neonatal sepsis, particularly gram-negative (GN) bacteria-induced, is a significant ca... more Background Neonatal sepsis, particularly gram-negative (GN) bacteria-induced, is a significant cause of morbidity and mortality in newborns. Healthcare professionals find this issue challenging because of antibiotic resistance. This study aims to combine findings to identify the prevalence of GN bacteria and their antibiotic resistance in Iranian neonates with sepsis. Methods This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). The literature search was performed through international databases, including (PubMed/MEDLINE, EMBASE, Scopus, and Web of Science), Iranian local databases (Magiran, Iranmedex, Irandoc, Scimed, and SID), and the first 100 records of Google Scholar. Analytical cross-sectional study checklist from the Joanna Briggs Institute (JBI) was used for the quality assessment of included studies. Comprehensive Meta-Analysis Software Version 2 was used to conduct the meta-analysis. The between-study heterogeneit...
Iranian Journal of Medical Sciences, 2023
Artificial Intelligence Review
Identify the application of computational methods and algorithms reported in the literature based... more Identify the application of computational methods and algorithms reported in the literature based on four main categories including data mining, clinical decision support systems, geographical information systems, and digital dashboards and to summarize them in a qualitative scoping review. A scoping review was presented following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. MEDLINE, Emerald, Scopus, and Google Scholar databases were searched in July 2016 using uniform keywords for documents that discuss data mining and knowledge discovery, dashboards, geographical information systems, and electronic surveillance of antimicrobial resistance in surveillance systems. Our study mainly focused on knowledge discovery and visualization algorithms, methods, and techniques used in antimicrobial resistance surveillance systems. Thirteen of the reviewed articles applied algorithms to the data mining process. A comparative table of data elements in the reviewed studies was extracted. The characteristics of antimicrobial dashboards were discussed. Heat maps were the most popular method used to visualize the intensity of resistance. Comparative tables are provided in each section of this paper. Data mining, Decision Support Systems, Geographic Information Systems, and dashboards can be integrated for data analysis and to better solve decision support problems. Bio-surveillance systems should be designed and analyzed based on four categories: data mining, dashboards, geography information system, and decision support modules. Furthermore, some questionnaires and checklists were developed and validated to capture related Business Intelligence and analytical requirements. Future studies should focus on developing fast, flexible, and accurate computational bio-surveillance systems by appropriate selecting and applying the considered methods and algorithms.
International Journal of Electronic Healthcare
International Journal of Medical Informatics
International Journal of Information Systems in the Service Sector
Medical data mining intends to solve real-world problems in the diagnosis and treatment of diseas... more Medical data mining intends to solve real-world problems in the diagnosis and treatment of diseases. This process applies various techniques and algorithms which have different levels of accuracy and precision. The purpose of this article is to apply data mining techniques to the diagnosis of asthma. Sensitivity, specificity and accuracy of K-nearest neighbor, Support Vector Machine, naive Bayes, Artificial Neural Network, classification tree, CN2 algorithms, and related similar studies were evaluated. ROC curves were plotted to show the performance of the authors' approach. Support vector machine (SVM) algorithms achieved the highest accuracy at 98.59% with a sensitivity of 98.59% and a specificity of 98.61% for class 1. Other algorithms had a range of accuracy greater than 87%. The results show that the authors can accurately diagnose asthma approximately 98% of the time based on demographics and clinical data. The study also has a higher sensitivity when compared to expert an...
Bulletin of emergency and trauma, 2017
To systematically review the current literature of simulation in healthcare including the structu... more To systematically review the current literature of simulation in healthcare including the structured steps in the emergency healthcare sector by proposing a framework for simulation in the emergency department. For the purpose of collecting the data, PubMed and ACM databases were used between the years 2003 and 2013. The inclusion criteria were to select English-written articles available in full text with the closest objectives from among a total of 54 articles retrieved from the databases. Subsequently, 11 articles were selected for further analysis. The studies focused on the reduction of waiting time and patient stay, optimization of resources allocation, creation of crisis and maximum demand scenarios, identification of overcrowding bottlenecks, investigation of the impact of other systems on the existing system, and improvement of the system operations and functions. Subsequently, 10 simulation steps were derived from the relevant studies after an expert's evaluation. The ...
Asian Pacific journal of cancer prevention : APJCP, Jun 25, 2017
Background: Data mining, a new concept introduced in the mid-1990s, can help researchers to gain ... more Background: Data mining, a new concept introduced in the mid-1990s, can help researchers to gain new, profound insights and facilitate access to unanticipated knowledge sources in biomedical datasets. Many issues in the medical field are concerned with the diagnosis of diseases based on tests conducted on individuals at risk. Early diagnosis and treatment can provide a better outcome regarding the survival of lung cancer patients. Researchers can use data mining techniques to create effective diagnostic models. The aim of this study was to evaluate patterns existing in risk factor data of for mortality one year after thoracic surgery for lung cancer. Methods: The dataset used in this study contained 470 records and 17 features. First, the most important variables involved in the incidence of lung cancer were extracted using knowledge discovery and datamining algorithms such as naive Bayes, maximum expectation and then, using a regression analysis algorithm, a questionnaire was devel...
Journal of cardiovascular and thoracic research, 2017
Introduction: Coronary artery disease (CAD) is one of the major causes of disability and death in... more Introduction: Coronary artery disease (CAD) is one of the major causes of disability and death in the world. Accordingly utilizing from a national and update guideline in heart-related disease are essential. Finding interesting rules from CAD data and comparison with guidelines was the objectives of this study. Methods: In this study 1993 valid and completed records related to patients (from 2009 to 2014) who had suffered from CAD were recruited and analyzed. Total of 25 variable including a target variable (CAD) and 24 inputs or predictor variables were used for knowledge discovery. To perform comparison between extracted knowledge and well trusted guidelines, Canadian Cardiovascular Society (CCS) guideline and US National Institute of Health (NIH) guideline were selected. Results of valid datamining rules were compared with guidelines and then were ranked based on their importance. Results: The most significant factor influencing CAD was chest pain. Elderly males (age >54) have...
Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2016
Lack of attention to the proper barcode using leads to lack of use or misuse in the hospitals. Th... more Lack of attention to the proper barcode using leads to lack of use or misuse in the hospitals. The present research aimed to investigate the requirements and barrier for using barcode technology and presenting suggestions to use it. The research is observational-descriptive. The data was collected using the designed checklist which its validity was assessed. This check list consists of two parts: "Requirements" and "barrier" of using the barcodes. Research community included 10 teaching hospitals and a class of 65 participants included people in the hospitals. The collected data was analyzed using descriptive statistics. Required changes of workflow processes in the hospital and compliance them with the hospital policy are such requirements that had been infringed in the 90 % of hospitals. Prioritization of some hospital processes for barcoding, system integration with Hospital Information system (HIS), training of staff and budgeting are requirements for the suc...
Iranian journal of public health, 2017
Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2016
Radiology information system (RIS) in order to reduce workload and improve the quality of service... more Radiology information system (RIS) in order to reduce workload and improve the quality of services must be well-designed. Heuristic evaluation is one of the methods that understand usability problems with the least time, cost and resources. The aim of present study is to evaluate the usability of RISs in hospitals. This is a cross-sectional descriptive study (2015) that uses heuristic evaluation method to evaluate the usability of RIS used in 3 hospitals of Tabriz city. The data are collected using a standard checklist based on 13 principles of Nielsen Heuristic evaluation method. Usability of RISs was investigated based on the number of components observed from Nielsen principles and problems of usability based on the number of non-observed components as well as non-existent or unrecognizable components. by evaluation of RISs in each of the hospitals 1, 2 and 3, total numbers of observed components were obtained as 173, 202 and 196, respectively. It was concluded that the usability...
Journal of Global Antimicrobial Resistance
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Papers by Peyman Rezaei-hachesu