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Mohammadreza Asghariyan, Farzad Firouzi Jahantigh,
Volume 18, Issue 3 (5-2024)
Volume 18, Issue 3 (5-2024)
Abstract
Background and Aim: The emergency department of the hospital is considered one of its main entrances; which has provided health care and treatment for critical and non-critical patients and faces various health and treatment restrictions, but the main emphasis is always on resource limitations. Many simulation projects were implemented in hospitals and first in emergency departments with the aim of increasing productivity. The present research is a general description of the patient’s movement flow and length of stay in the emergency department of a selected specialized hospital in Zahedan city. The aim of the current research is to prevent care complications, reduce waiting time and patient stay in the emergency department, present a simulation model and improve it based on discrete-event simulation.
Materials and Methods: Using the data bank of the emergency department system based on the required data and also through the in-person observation of the data related to the duration of the patient’s stay in the emergency department, including the arrival time, waiting time, The type of services provided to the patient, the time of service and the time of departure were collected and checked and confirmed by experts related to this field so that it has the highest level of reliability with the facts. The data were designed in Excel software, and then data analysis and simulation model creation were done using Aren V14 software, and according to the results, the effect of the proposed solutions was evaluated.
Results: The findings of the present research showed that the longest queue created in the emergency department of the selected specialized hospital in Zahedan city is related to medical examination and additional tests. By implementing the simulation model and testing different solutions, solution 3, which means adding one nurse to nursing consultation and one person to radiology, has the most optimizing effect on the performance of the system at different levels of the patient admission process. and the cost of its implementation is more than solutions 1 and 2. This solution created a 14% decrease in the average length of stay and a 28% decrease in the average duration of additional tests.
Conclusion: The use of queuing models and simulation techniques improve the performance of the system and their implementation has significant effects on reducing the waiting time and length of stay of patients in the emergency department, increasing the quality level of the process of monitoring patients. It leads to optimal management of resources and increased productivity.
Fatemeh Soofiabadi, Alireza Shahraki, Mohebali Rahdar,
Volume 18, Issue 3 (5-2024)
Volume 18, Issue 3 (5-2024)
Abstract
Background and Aim: Given the high sensitivity of the medical field, a mistake can cause irreparable damage to human society. For this reason, finding the symptoms of the disease and the relationships between them to facilitate the improvement of diseases is inevitable. Therefore, the aim of the present study was to first identify the symptoms of neurofibromatosis type 1 by specialists, then determine the relationship between the symptoms and the degree of their impact on each other in order to determine the most important criterion in improving the disease.
Materials and Methods: The present study is of a developmental-applied type in terms of its purpose and of a descriptive-survey type in terms of its data collection method. The case study of the present study is spinal disorders, of which neurofibromatosis type 1 has been diagnosed as one of them based on the opinion of experts. Neurofibromatosis type 1 is a genetic disorder that causes tumors in the nervous tissue. Accordingly, in the present study, the criteria, which are the symptoms of the disease, were first determined using the opinion of a group of experts and the implementation of the fuzzy Delphi method. In the next step, a model for the causal relationships between the symptoms of the disease is presented. For this purpose, a fuzzy cognitive map is drawn using MATLAB, FCMapper and Pajek software, then backward and forward scenarios are presented for neurofibromatosis type 1 and the disease improvement scenario is determined.
Results: The results showed that hormonal changes, flat brown spots on the skin, freckles in the armpit and groin area, soft bumps on the face or under the skin, high blood pressure, respiratory problems, bumps on the iris of the eye (Lish nodules), tumor in the optic nerve-ocular glioma, short stature, bone deformity, learning disabilities-attention deficit hyperactivity disorder (ADHD) and larger than average head size are ranked first to twelfth, respectively. The causal relationships between the symptoms showed that the criterion of hormonal changes has the greatest impact on the criterion of freckles in the armpit or groin area; Therefore, if the hormonal changes criterion improves, neurofibromatosis type 1 will also improve.
Conclusion: The findings of this study have helped the medical community to have a better understanding of the symptoms of the disease so that doctors can improve their prevention and care recommendations based on the severity of the symptoms of the diseases.
Materials and Methods: The present study is of a developmental-applied type in terms of its purpose and of a descriptive-survey type in terms of its data collection method. The case study of the present study is spinal disorders, of which neurofibromatosis type 1 has been diagnosed as one of them based on the opinion of experts. Neurofibromatosis type 1 is a genetic disorder that causes tumors in the nervous tissue. Accordingly, in the present study, the criteria, which are the symptoms of the disease, were first determined using the opinion of a group of experts and the implementation of the fuzzy Delphi method. In the next step, a model for the causal relationships between the symptoms of the disease is presented. For this purpose, a fuzzy cognitive map is drawn using MATLAB, FCMapper and Pajek software, then backward and forward scenarios are presented for neurofibromatosis type 1 and the disease improvement scenario is determined.
Results: The results showed that hormonal changes, flat brown spots on the skin, freckles in the armpit and groin area, soft bumps on the face or under the skin, high blood pressure, respiratory problems, bumps on the iris of the eye (Lish nodules), tumor in the optic nerve-ocular glioma, short stature, bone deformity, learning disabilities-attention deficit hyperactivity disorder (ADHD) and larger than average head size are ranked first to twelfth, respectively. The causal relationships between the symptoms showed that the criterion of hormonal changes has the greatest impact on the criterion of freckles in the armpit or groin area; Therefore, if the hormonal changes criterion improves, neurofibromatosis type 1 will also improve.
Conclusion: The findings of this study have helped the medical community to have a better understanding of the symptoms of the disease so that doctors can improve their prevention and care recommendations based on the severity of the symptoms of the diseases.
Mazyar Karamali, Azadeh Soleimaninejad, Peirhossein Kolivand, Reza Dehkhodaei,
Volume 18, Issue 3 (5-2024)
Volume 18, Issue 3 (5-2024)
Abstract
Background and Aim: The Iranian Red Crescent Society (IRCS) is recognized as one of the ten most powerful national societies among the Red Cross and Red Crescent societies globally in responding to disasters and emergencies. The purpose of this study is to outline the research topics of the Iranian Red Crescent Society by analyzing its scientific outputs over the past years.
Materials and Methods: The research is of an applied type with a scientometric approach and bibliometric analysis, which uses event network visualization techniques and synonym analysis. The statistical population of the study included all research conducted by the Iranian Red Crescent Society and articles indexed in the Scopus database since the 1990s. The synonym analysis of research titles conducted in the organization and article abstract information and data visualization techniques were used with VOSviewer, NVIVO, WordCloud and iThoughts software.
Results: The trend of publishing research outputs has been upward. Analysis of outputs showed that Shiraz University of Medical Sciences had the highest output and the Gastroenterology and Liver Research Center and Isfahan University of Medical Sciences had the lowest output among the 10 most active institutions. Also, the Iranian Red Crescent Medical Journal had the highest output, and among the topics related to outputs, the field of medicine was ranked first and the field of Multidisciplinary was ranked lowest. Among the frequently used words, “human” was ranked first. Identifying and drawing a map of research issues for this organization showed that the problem-oriented research topics of the Red Crescent Society were categorized into nine main areas, among which relief and rescue was ranked first with 21.4% and technology and innovation was ranked lowest with 4.6%.
Conclusion: The study of the scientific and research outputs of the Iranian Red Crescent indicates the breadth and diversity of research issues in the subject areas raised. The status of research conducted in the map of Iranian Red Crescent issues by comparing the keywords showed that the research performance of this organization is higher in the fields of health services, relief and rescue, and education. Given the breadth of issues commensurate with its missions, it needs balanced growth in research and knowledge production in other areas.
Materials and Methods: The research is of an applied type with a scientometric approach and bibliometric analysis, which uses event network visualization techniques and synonym analysis. The statistical population of the study included all research conducted by the Iranian Red Crescent Society and articles indexed in the Scopus database since the 1990s. The synonym analysis of research titles conducted in the organization and article abstract information and data visualization techniques were used with VOSviewer, NVIVO, WordCloud and iThoughts software.
Results: The trend of publishing research outputs has been upward. Analysis of outputs showed that Shiraz University of Medical Sciences had the highest output and the Gastroenterology and Liver Research Center and Isfahan University of Medical Sciences had the lowest output among the 10 most active institutions. Also, the Iranian Red Crescent Medical Journal had the highest output, and among the topics related to outputs, the field of medicine was ranked first and the field of Multidisciplinary was ranked lowest. Among the frequently used words, “human” was ranked first. Identifying and drawing a map of research issues for this organization showed that the problem-oriented research topics of the Red Crescent Society were categorized into nine main areas, among which relief and rescue was ranked first with 21.4% and technology and innovation was ranked lowest with 4.6%.
Conclusion: The study of the scientific and research outputs of the Iranian Red Crescent indicates the breadth and diversity of research issues in the subject areas raised. The status of research conducted in the map of Iranian Red Crescent issues by comparing the keywords showed that the research performance of this organization is higher in the fields of health services, relief and rescue, and education. Given the breadth of issues commensurate with its missions, it needs balanced growth in research and knowledge production in other areas.
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