Reza Safdari , Niloofar Mohammadzadeh , Nasim Shokouhi, Azizeh Farzinmehr, Mehrshad Mokhtaran, Shahrbanoo Pahlevanynejad, Mahnaz Mirsane,
Volume 13, Issue 5 (1-2020)
Abstract
Background and Aim: Pelvic floor disorders are a common disease which, with varying degrees of severity, disrupts daily life and also decreases the quality of life of the individual. This disease can be cured by lifestyle modifications and self-care education; on the other hand, smartphones have become a good platform for health services and therapeutic interventions. The aim of this study was to identify information and educational components for the self-care application of women with pelvic floor disorders.
Materials and Methods: This descriptive study was performed in Yas Hospital affiliated to Tehran University of Medical Sciences. According to Morgan table, 30 gynecologists who were randomly selected were included in the study. The data gathering tool was a researcher-made questionnaire which its validity and reliability were confirmed (α=0.85) and its content was provided by reviewing the scientific sources.
Results: The results of the analyzes showed that from the experts’ point of view the interventional section including reminders, daily activities diaries and targeting with an average score of 4.14 has been of great importance. Since then, the applied and self-care section with an average score of 4.364is ranked second in priority.
Conclusion: According to a survey by experts who play a major role in the management of the disease. The essential components of this application were identified in three main sections consist of: electronic records, the interventional section and the practical and self-care and their subsections.
Mohsen Rezaei, Nazanin Zahra Jafari, Hossein Ghaffarian, Masoud Khosravi Farmad3, Iman Zabbah, Parvaneh Dehghan,
Volume 13, Issue 5 (1-2020)
Abstract
Background and Aim: Timely diagnosis and treatment of abnormal thyroid function can reduce the mortality associated with this disease. However, lack of timely diagnosis will have irreversible complications for the patient. Using data mining techniques, the aim of this study is to determine the status of the thyroid gland in terms of normality, hyperthyroidism or hypothyroidism.
Materials and Methods: Using supervised and unsupervised methods after data preprocessing, predictive modeling was performed to classify thyroid disease. This is an analytical study and its dataset contains 215 independent records based on 5 continuous features retrieved from the UCI machine learning data reference.
Results: In supervised method, multilayer perception(MLP), learning vector quantization(LVQ), and fuzzy neural network(FNN) were used; and in unsupervised method, fuzzy clustering was employed. Besides, these precision figures(0.055, 0.274, 0.012 and 1.031) were obtained by root mean square error(RMSE) method, respectively.
Conclusion: Reducing the diagnosis error of thyroid disease was one of the goals of researchers. Using data mining techniques can help reduce this error. In this study, thyroid disease was diagnosed by different pattern recognition methods. The results show that the fuzzy neural network(FNN) has the least error rate and the highest accuracy.
Nastaran Abbasi Hasanabadi, Farzad Firouzi Jahantigh, Payam Tabarsi,
Volume 13, Issue 6 (2-2020)
Abstract
Background and Aim: Despite the implementation of effective preventive and therapeutic programs, no significant success has been achieved in the reduction of tuberculosis. One of the reasons is the delay in diagnosis. Therefore, the creation of a diagnostic aid system can help to diagnose early Tuberculosis. The purpose of this research was to evaluate the role of the Naive Bayes algorithm as a tool for the diagnosis of pulmonary Tuberculosis.
Materials and Methods: In this practical study, the study population included Patients with TB symptoms, the study sample is recorded data of 582 individuals with primary Tuberculosis symptoms in Tehran's Masih Daneshvari Hospital. The data of samples were investigated in two classes of pulmonary Tuberculosis and non-Tuberculosis. A Naive Bayes algorithm for screening pulmonary Tuberculosis using primary symptoms of patients has been used in Python software version 3.7.
Results: Accuracy, sensitivity and specificity after the implementation of the Naive Bayes algorithm for diagnosis of pulmonary Tuberculosis were %95.89, %93.59 and %98.53, respectively, and the Area under curve was calculated %98.91.
Conclusion: The performance of a Naive Bayes model for diagnosis of pulmonary Tuberculosis is accurate. This system can be used to help the patient and manage illness in remote areas with limited access to laboratory resources and healthcare professional and cause to diagnose early Tuberculosis. It can also lead to timely and appropriate proceedings to control the transmission of TB to other people and to accelerate the recovery of the disease.
Reza Safdari, Seyed Sina Marashi Shooshtari, Marzieh Esmaeili, Fozieh Tahmasbi, Zohreh Javanmard,
Volume 13, Issue 6 (2-2020)
Abstract
Background and Aim: The importance of managing medicines and medical devices as vital resources in healthcare industry cannot be ignored. Therefore, the application of coding systems could be of great help in the control of the required processes. This study aims to develop a coding system for medicines and medical devices in Iran.
Materials & Methods: This descriptive study was planned to be carried out in four phases from September 2018 to August 2019. To identify the requirements of designing a coding system for the classification of medicines and medical devices, library resources were studied, and the existing coding systems in the area of medicines and medical devices came under scrutiny. Then, based on the expert opinion on the results, the initial model of the coding system was designed.
Results: Thirty-five coding systems were identified and investigated. To design the proposed system, two coding systems -- ATC/DDD and UMDNS -- were selected as a core for medicines and medical devices, respectively. Then, based on expert opinion, the axes for the place of consumption and the placement of products and also the application of Quick Response (QR) code for data encoding were added.
Conclusion: The design and development of a comprehensive coding system–which is in compliance with the international protocols and capable of including both medicines and medical devices simultaneously – could be very helpful. Besides, using the location axis in the structure of coding system can improve the management of these products.
Akbar Jafari, Ali Asghar Safae ,
Volume 13, Issue 6 (2-2020)
Abstract
Background and Aim: Implementation of virtual reality systems in the field of health care has recently made significant progress. This article aims to examine a virtual reality-based system designed for patients with two types of phobia: darkness and height.
Materials and Methods: The present paper is the result of a study conducted by searching valid scientific sources including Springer, PubMed and Science Direct(Elsevier), and observing and examining similar virtual reality systems. According to the performed studies, patients enter the virtual reality environment based on their phobia and physician opinion. To assess the effect of phobia, a series of questionnaires are used before and after the test; and using these questionnaires, physicians can evaluate the extent of their patients' recovery.
Results: One of the ways to treat phobia is to put the patient in real environment; but in terms of cost and feasibility, it is not possible to provide the environment for physicians and patients in many cases. However, by using virtual reality technology and in the system designed in this paper, psychiatrists can implement real environments as virtual reality in front of the patient's eyes.
Conclusion: In the system presented in this study, the existence of several diverse and appropriate virtual reality environments for the care and treatment of patients with darkness and height phobia is one of its distinct points because in many studies only a fixed environment is used for patients.
Ali Reza Mokhtari, Atefeh Ahmadi,
Volume 14, Issue 1 (3-2020)
Abstract
Background and Aim: One of the main reasons of blindness -- unilateral vision weakness in children, adolescents and middle aged people -- is amblyopia. The goal of this study is to design and produce a serious game to treat amblyopia and to investigate its effect on children's lazy eye.
Materials and Methods: In this interactive analysis, 60 people suffering from unilateral amblyopia with average age 7 years old entered the research; they were divided into two experimental groups and one control group. From these people, six left during the research period. To intervene during the project, a produced tool, namely SIGMA (smart phone), was used. Visual acuity of samples was measured before and after the intervention. The collected data were analyzed using SPSS software version 22 in two levels of descriptive and inferential statistics.
Results: In the first experimental group, visual acuity of 12 samples(63%) improved and in 7 samples(37%), no changes were observed. In the second experimental group, visual acuity of 11 samples(65%) improved, but no changes were observed in 6 samples(35%). In control group, however, visual acuity of 5 samples(27%) improved, but no changes were observed in 13 samples(72%). The findings show a meaningful difference(p≤0.05) between the number of improved samples of experimental groups and control group.
Conclusion: Using SIGMA games alone or along with other treatments can improve visual acuity in children’s lazy eye.
Mohammad Hossein Ronaghi, Foroughosadat Hosseini,
Volume 14, Issue 1 (3-2020)
Abstract
Background and Aim: The Fog Computing is a highly virtualized platform that provides storage, computing and networking services between the Cloud data centers and end devices. Fog computing fits the characteristics of real-time health monitoring systems. In such systems, a large amount of data is acquired from a multitude of bio and environmental sensors. On the other hand, its distribution and open structure makes it vulnerable and weak to security threats. Therefore, the aim of this paper was to identify the security challenges in healthcare.
Materials and Methods: This applied research has been done in three phases using mixed-method approach in 2019. In the first phase, security codes from library resources by content analysis was identified. In the second phase interpretation of experts by Delphi method, Panel of IT experts consists of twelve members who work on healthcare sector was evaluated. Finally, we used Analytic Hierarchy Process method for ranking security codes.
Results: According to fuzzy AHP results attacks(0.31), secure communications(0.23), authentication and access control(0.19), trust(0.15) and privacy preservation(0.12) are the most important criteria in security challenges of fog computing.
Conclusion: According to the results of this study, secure communications and network attacks are the major challenges in fog computing, because fog nodes are usually deployed in some places with relatively weak protection. They may encounter various malicious attacks. As a result, policymakers should be aware of the role of secure communications and network attacks in fog computing implementation.
Reza Safdari, Majid Alikhani, Foziye Tahmasbi, Zohre Javanmard,
Volume 14, Issue 1 (3-2020)
Abstract
Background and Aim: The incidence of osteoporotic fractures, which leads to morbidity and mortality in the elderly, is increasing worldwide. Mobile health application could empower patients to engage in managing their own health. This has a significant impact on improving health outcomes in chronic diseases. For this reason, this study was conducted to develop a mobile-based self-management application for patients with Osteoporotic fractures.
Materials and Methods: In this descriptive-developmental study, initially, the data required in this research were collected through searching in library resources, clinical guidelines and application review. Then, a questionnaire was applied by physician to validate and determine the significance of these elements and the rational design of application was provided with the obtained elements. Finally, the application was developed in Android Studio environment and then evaluated.
Results: The main application parts include: Disease prevention information, fracture risk assessment tool and information for self-management in osteoporotic fractures care which was divided into two parts: Hip fracture and other fractures. Moreover, provides functions like exercise program adjustments, reminders and patient records. The application functions were evaluated and was able to meet the expectations.
Conclusion: This is a mobile application with validated content and can be used to help patients with osteoporotic fractures to manage their disease and to obtain self-management skills.
Azita Yazdani, Reza Safdari, Roxana Sharifian, Maryam Zahmatkeshan, Marjan Ghazi Saeedi,
Volume 14, Issue 2 (5-2020)
Abstract
Background and Aim: When clinical decision support systems are developed, implementing solutions that enable these systems to be -used on a large scale can reduce the production costs associated with the creation, maintenance and by sharing these systems, producing multiple clinical decision support systems will be prevented. In recent years, one of the approaches used for this purpose in combination with clinical decision support systems is the service-oriented architecture approach. The purpose of this study was to investigate the role and importance of service-oriented architecture in delivering scalable architectures of clinical decision support systems focusing on different approaches to this architecture.
Materials and Methods: This article is a simple review article. Bibliographic databases of IEEE Explore, Science Direct, Springer, Web of Science, and Scopus were reviewed. The keywords "Service Oriented Architecture" and "clinical decision support systems" were used as keywords along with related terms for searching these databases.
Results: The clinical decision support systems based on service-oriented architecture brings benefits such as Facilitate knowledge maintenance, reducing costs and improving agility. Point-to-point communication, enterprise service bus, service registry, clinical and engine guiding engine, and service choreography and orchestration are general architectural designs that are evident in the use of web-based clinical decision support systems based on a service-oriented architecture approach.
Conclusion: Service-oriented architecture is a potential solution for delivering scalable platforms for clinical decision systems.
Raoof Nopour, Mohammad Shirkhoda, Sharareh Rostam Niakan Kalhori,
Volume 14, Issue 2 (5-2020)
Abstract
Background and Aim: Colorectal cancer is one of the most common gastrointestinal cancers among human beings and the most important cause of death in the world. Based on the risk of colorectal cancer for individuals, using an appropriate screening program can help to prevent the disease. Therefore, the purpose of this study was to design a model for screening colorectal cancer based on risk factors to increase the survival rate of the disease on the one hand and to reduce the mortality rate on the other.
Materials and Methods: By reviewing articles and patients' records, 38 risk factors were detected. To determine the most important risk factors clinically, CVR(content validity ratio) was used; and considering the collected data, Spearman correlation coefficient and logistic regression analysis were applied for statistical analyses. Then, four algorithms -- J-48, J-RIP, PART and REP-Tree -- were used for data mining and rule generation. Finally, the most common model was obtained based on comparing the performance of the algorithms.
Results: After comparing the performance of algorithms, the J-48 algorithm with an F-Measure of 0.889 was found to be better than the others.
Conclusion: The results of evaluating J-48 data mining algorithm performance showed that this algorithm could be considered as the most appropriate model for colorectal cancer risk prediction.
Reza Safdari, Farnoosh Larti, Kamyar Fathi Salari, Saman Mohammadpour,
Volume 14, Issue 3 (7-2020)
Abstract
Background and Aim: Cardiovascular diseases and medication errors are among the leading causes of morbidity and mortality around the world. Electronic prescribing and Medication Administration(ePMA) systems can prevent medication errors to some extent. This study aimed to determine the information requirements of ePMA systems.
Materials and Methods: This descriptive study was conducted in Imam Khomeini Hospital of Tehran and School of Allied Medical Sciences affiliated to Tehran University of Medical Sciences (TUMS) in the summer of 2019 in two phases: literature review and survey-based questionnaire. Information items obtained from reviewing the texts of 100 articles were organized in three questionnaires. In the survey phase, questionnaires were distributed among physicians, nurses, and the experts of health information management(HIM) and medical informatics, using census sampling method. The reliability of the questionnaires was measured using Cronbach's coefficient alpha. Statistical analysis was done using SPSS.
Results: The findings showed that based on specialists’ point of view, patients' demographic information items and unique identifiers gained the highest average, above 4.7. Physicians agreed most with clinical information, including medication history and generic names. From the nurses’ point of view, the information items of the patients’ problems and the procedures performed and the types of drug doses obtained a complete average of 5.
Conclusion: The need for information items varies among different users of ePMA systems, but there may be items that are common for them. Future studies should further investigate financial and pharmaceutical information requirements based on the perspectives of other hospital pharmacy and accounting staff.
Ahmad Siar Sadr, Roohollah Tavallaee, Mohammad Ali Afshar Kazemi,
Volume 14, Issue 3 (7-2020)
Abstract
Background and Aim: Laboratories are one of the most important scientific and research centers. Laboratory information management systems provide a platform for recording the information and collaborating between researchers. The main purpose of this study was suggesting an organizational architecture model of laboratory information management systems.
Materials and Methods: This study was a qualitative study. In this study, we extracted available documentation and information on laboratory information management systems from databases. Then, 16 faculties and staffs using the Sharif University of Technology's laboratory services were selected by snowball sampling and interviewed to determine needs. Based on needs, enterprise architecture models were extracted from databases. 16 experts have evaluated the enterprise architecture model to select the best model suitable for laboratory services. Due to various technical and managerial aspects of laboratory management systems two models of Zachman architecture and service-oriented architecture models were combined. In the next step, experts from laboratory service systems have evaluated the proposed model, using Delphi technique in three rounds.
Results: The findings were analyzed in two parts: Evaluation of the needs of the laboratory information management system and presentation of the proposed model. In the proposed model, the content of each cell of the Zachman framework is approached Service-oriented were selected and integrated according to the specifications of the laboratory management system.The model was evaluated based on five levels of organizational architecture maturity. The improvement in the maturity of organizational architecture was evident at higher levels.
Conclusion: The use of enterprise architecture for laboratory management systems leads to optimal use of resources and ease of collaboration.
Roghaye Khasha, Mohammad Mahdi Sepehri, Nasrin Taherkhani,
Volume 14, Issue 3 (7-2020)
Abstract
Background and Aim: Asthma is a common and chronic disease of respiratory tracts. The best way to treat Asthma is to control it. Experts of this field suggest the continues monitoring on Asthma symptoms and adjustment of self-care plan with offering the preventive treatment program to have desired control over Asthma. Presenting these plans by the physician is set based on the control level in which the patient is. Therefore, successful recognition and classification of the disease control level can play an important role in presenting the treatment program to the patient and improves the self-care and strengthens the early interventions to alleviate the Asthma symptoms.
Materials and Methods: Based on this objective, we collected the data of 96 Asthma patients within a 9-month period from a specialized hospital for pulmonary diseases in Tehran. Then we classified the Asthma control level by fuzzy clustering and different types of data mining method within a multivariate dataset with the multi-class response variable.
Results: Our best model resulting from the balancing operations and feature selection on data have yielded the accuracy of 88%.
Conclusion: Our proposed model can be applied in electronic Asthma self-care systems to support the decision in real time and personalized warnings on the possible deterioration of Asthma control. Such tools can centralize the Asthma treatment from the current reactive care models into a preventive approach in which the physician’s decisions and therapeutic actions are resulting from the personal patterns of chronic Asthma control and prevention of acute Asthma.
Zahra Mohammadzadeh, Hamid Reza Saeidnia, Ali Ghorbi,
Volume 14, Issue 3 (7-2020)
Abstract
Background and Aim: A hospital website is an appropriate system for exchanging information and connecting patients, hospitals and medical staff. The purpose of this study was to identify and classify desirable web-based services in websites of Iran's hospitals based on Kano’s Customer Satisfaction Model.
Materials and Methods: This was a survey study. The statistical population of the study consisted of hospital website users, of whom 120 were randomly selected. The data collection tool was a questionnaire based on Kano model. The validity of the questionnaire was confirmed by the information science and health information technology (HIT) professors. Data were analyzed using Kano model evaluation table, Excel software, and descriptive statistics. Cronbach's alpha test was used to determine reliability (a=0.82).
Results: First, the desirable web-based services of the hospitals’ websites were identified. Then, 67 identified services were classified into mandatory criteria (29 services), one-dimensional criteria (15 services), attractive criteria (14 services) and indifferent criteria (9 services). Most services were mandatory, attractive, one-dimensional and indifferent in content components.
Conclusion: Most services identified in this study were on the websites of the world's leading hospitals; HIT designers and professionals and hospital managers are expected to use such services in designing hospital websites. Although the comments of site designers and experts were practical in some cases, they attracted a limited number of users due to their unfamiliarity with specialized website design topics.
Shahpar Zakipour, Behzad Farrokh Sersht, Mohammad Javad Taghipourian, Hasan Ali Aghajani,
Volume 14, Issue 3 (7-2020)
Abstract
Background and Aim: In recent decades, increasing productivity and reducing losses by improving abnormal behaviors in the workplace have attracted the attention of organizational behavior experts, especially health researchers. The purpose of the present research is to study the factors influencing the reduction of abnormal behaviors in health workplace.
Materials and Methods: By using meta-synthesis technique, the findings of the related internal and external studies were systematically analyzed using Sandelowski and Barroso seven-step method. The identified codes were classified, analyzed and interpreted by MAXQDA10. Kappa method and SPSS were used to measure reliability and quality control. The calculated kappa coefficient was 0.893, which indicated a good consistency.
Results: From 435 articles investigated in this field, 46 articles were selected, based on which 68 factors were identified. These factors were classified into 3 main categories and 11 pivotal codes. The influential factors identified in this study include individual factors(psychological, demographic, religious, and contextual), group factors(communication, appropriate reward system, and deterrent behaviors) and organizational factors(organizational space, organizational measures, organizational emotions, and job position perception).
Conclusion: The results of this study show that individual factors are the most important ones affecting the reduction of abnormal behaviors. Therefore, the findings of this study emphasize psychological, demographic, religious, and contextual factors in planning and managers’ interventions to increase productivity in health workplace.
Nahid Einollahi, Reza Safdari, Marsa Gholamzadeh, Elham Haghshenas, Horieh Masourian,
Volume 14, Issue 4 (10-2020)
Abstract
Background and Aim: Mobile-based programs have been developed as tools to help both patients and physicians in various fields especially in dermatology. Therefore, the main objective of this study was to review the features and contents of dermatology applications.
Materials and Methods: The methodology was comparative and descriptive. Applications in the field of dermatology were evaluated and compared through this research. Inclusion criteria included applications that have been downloaded more than 100 times in Google Play and App Store and applications designed in diagnosis in various fields of dermatology such as treatment, management, remote consulting, and self-care areas. Exclusion criteria included those developed before 2010 and those related to the non-dermatology areas. Besides, different features were considered for comparison based on literature review and expert consultation. Next, the recognized applications were reviewed and compared based on determined categories.
Results: Based on criteria, a total of 33 applications were identified through searching. Of these, 33.3% of Apps were in the field of education, and 24.2% were in self-care. Regarding disease, applications were categorized into nine different domains. Of these, 61% of applications were covering different types of skin diseases. Also, in examining the frequency of the features of the evaluated programs, providing recommendations and suggestions with 57.57% and educational contents and the possibility of uploading images with 51.51%, respectively, had the highest frequency among the features of the programs.
Conclusion: Analysis showed that education and self-care domains have a high rank among others. It indicates that developing such applications could facilitate patient education and self-management by himself or caregivers. However, this area needs more attention and the using health information technology capabilities to make applications smarter in this area.
Hamzeh Amin-Tahmasbi, Maede Ghasemi,
Volume 14, Issue 4 (10-2020)
Abstract
Background and Aim: The growing healthcare expenses, technological advancements and increasing competition in healthcare services, brings up new challenges for healthcare industry in providing appropriate services to customers. The Lean methodology, which is a managerial approach, provides tools necessary to eliminate waste and increase customer satisfaction through increasing quality of the services and decreasing the wait times and costs. The Scope of this paper is to determine and rank the lean criteria for hospitals.
Materials and Methods: 22 base criteria for a lean organization was selected and reconciled to hospitals from literature review. Then they were evaluated by experts in the field using Likert scale, leading to 18 criteria. The correlation of these criteria was found using ISM methodology, followed by ranking of these criteria. Lastly, the criteria were categorized utilizing MICMAC analysis.
Results: utilizing MICMAC analysis, the "defining the flow of processes & continuous improvement", "utilizing visual surveillance to understand the situation & exploit the problems" were identified as the most important variables.
Conclusion: In order to increase quality of services and customer satisfaction and to reduce operating costs, hospitals are advised to utilize lean methodology. In which case the management should pay more attention to the two more important criteria derived by MICMAC analysis, "Defining the processes in order to find problems" and "Continuous improvement and utilizing visual surveillance in order to find problems".
Reza Safdari, Abdorreza Naser Moghadasi, Sahar Khenarinezhad, Ehsan Ghazanfarisavadkoohi,
Volume 14, Issue 5 (1-2021)
Abstract
Background and Aim: Taking a wide range of medications in Multiple sclerosis (MS) patients can lead to side effects and drug interactions. Therefore, the use of intelligent systems such as drug monitoring systems can help in the effective and timely treatment of MS disease. In this regard, the present study was conducted to design, development, and evaluation of the drug monitoring system for multiple sclerosis patients.
Materials and Methods: The present descriptive-developmental study was performed in four stages. In the first stage, by searching the library resources and valid guidelines, the minimum data set was determined and provided to neurologists and MS fellowships in the form of checklists for validation. Then the software was designed logically and coded based on the opinion of experts. In the last stage, the software was evaluated by end-users.
Results: The information elements in the software design were categorized into patient demographic information, medical history, clinical signs, imaging procedures, laboratory tests for ocrelizumab and fingolimod drugs, counseling, and treatment data. Finally, the performance of the drug monitoring system was evaluated with an average of 7.9 and was approved by users.
Conclusion: The results of software evaluation showed that the drug monitoring system can help general practitioners, neurologists, and MS fellowships in monitoring and follow-up of patients and lead to increased patient safety.
Marjan Ghazi Saeedi, Gholam Reza Esmaeili Javid, Niloufar Mohammadzadeh, Hamide Asadallah Khan Vali,
Volume 14, Issue 5 (1-2021)
Abstract
Background and Aim: Diabetes is one of the most common metabolic diseases in the world, of which one of the most common and painful complications is diabetic foot ulcer. The accuracy and comprehensiveness of the contents of electronic medical record is effective in improving the quality of treatment and the care of diabetic foot ulcer patients. The aim of this study is to determine the minimum data set (MDS) essential for diabetic foot patients' electronic medical records.
Materials and Methods: In this descriptive-analytical study, authoritative internet and library resources were studied to collect diabetic foot ulcer information elements. Fourteen physicians and nurses working and collaborating with the Wound Healing Center affiliated to Academic Center for Education, Culture and Research (ACECR) were selected for clinical survey, and 5 health information technology specialists of Tehran University of Medical Sciences (TUMS) were chosen for demographic information survey. The study tools were a researcher-made questionnaire, CVR content validity method and test-retest method for reliability.
Results: Out of 23 information elements surveyed in demographic section, cases above 99% of the agreement were selected. Also, out of 86 information elements of the clinical section, more than 51% of the cases were selected. Clinical experts included 6 wound specialists, 4 general practitioners and 6 nurses. In the demographic information section, the lowest agreement was related to the element of identity and Education level with 20% agreement. In clinical information, the lowest agreement was related to surgery, leech therapy and MRI of the foot with 0% and PRP, G-CSF, Sono-Doppler liver with 14%.
Conclusion: The minimum information elements of diabetic foot ulcer electronic medical record were divided into history, wound information, lower limb information, paraclinical results, wound management, and follow-up in clinical section; and in demographic information section, they were divided into identity, admission, finance, reporting, and system capability. The proposed model for manual and electronic medical records is available.
Mohammad Hossein Ronaghi,
Volume 14, Issue 5 (1-2021)
Abstract
Background and Aim: Virtual Reality and Augmented Reality are immersive technologies that integrate virtual and real-world elements. These technologies have been used to help and improve human capabilities in many fields. Virtual and augmented systems are used in various medical situations. They are effective options in most stages of patient treatment and performing medical procedures. Therefore, the purpose of this study is to investigate the applications of virtual and augmented reality technologies in the field of medicine and rank them.
Materials and Methods: This applied research was conducted in two phases using mixed-method approach in 2020. Library resources were used in the qualitative phase and a questionnaire in the quantitative phase. The applications of virtual and augmented reality technologies were ranked by a panel of experts having 13 members. Finally, Stepwise Weight Assessment Ratio Analysis(SWARA) method was used to rank the applications of technologies in medicine.
Results: The results of SWARA method showed that education (0.252), surgery (0.216), health games (0.188), patient control and diagnosis (0.186), and pharma (0.158) were the most important applications of virtual and augmented reality in medicine.
Conclusion: Based on the results of this study, it can be acknowledged that medical education and surgery are the most important applications of augmented and virtual reality technologies in medicine. Therefore, policymakers and hospital managers must use this ranking for the development of virtual and augmented reality technologies in their organization to provide better services to the customers and patients.
