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Showing 6 results for Delphi
Mohammad Hossein Ronaghi, Foroughosadat Hosseini,
Volume 14, Issue 1 (3-2020)
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.
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.
Mohammad Reza Mehregan, Shahrokh Yousefzadeh, Ali Reza Hatam Siahkal Mahalle,
Volume 15, Issue 2 (5-2021)
Volume 15, Issue 2 (5-2021)
Abstract
Background and Aim: The overall goal of the medical department is to develop and manage an efficient and effective supply chain. Intrinsic instability and unpredictability of treatment needs to require a flexible supply chain. Agility reflects the hospital's response to environmental changes, and agile hospitals are able to provide appropriate services to the patients. Hospital supply chain management agility needs to find the main aspects affecting the relationship and communication between them and to analyze the dimensions together. The purpose of this study was interpretive-structural modeling and analysis of dimensions of agile hospital supply chain management.
Materials and Methods: The research design combined descriptive - survey exploratory approach to the future. The population study were doctors, nurses and staff at the University of Medical Sciences. The Delphi technique was used to determine the dimensions of agility and the interpretive-structural modeling approach was used for analysis and modeling. Mick Mac software was used to analyze the dimensions of agility.
Results: The final model of agile hospital supply chain management with 16 dimensions had 8 levels, which was at the highest level of cost reduction and at the lowest level of organizational leadership commitment. The results indicate that leadership commitment is the foundation of supply chain agility in the hospital. Knowledge management variable had low impact and effectiveness and was known as a secondary leverage variable. The results showed that most agile supply chain management aspects of the main causes of complex communication and interaction, and the importance of agility in the hospital of the show.
Conclusion: The analysis and interpretation of functional from the aspect of Impact and Influence of agility dimensions in hospital environment Showed that, Dimensions of strategic planning, human resource development and staff skills training, human resource management and employee satisfaction, process management, process integration and organizational transformation, flexibility, organizational communication development and information management integration, service quality management and continuous improvement, acceptance of new technology and new ideas, speed of service, patient understand and satisfaction, monitor, find best responds demand and market sensitivity in the strategic area are located and They cause model instability and With high impact and high influence, They play an important role in the agility of hospital supply chain management.
Materials and Methods: The research design combined descriptive - survey exploratory approach to the future. The population study were doctors, nurses and staff at the University of Medical Sciences. The Delphi technique was used to determine the dimensions of agility and the interpretive-structural modeling approach was used for analysis and modeling. Mick Mac software was used to analyze the dimensions of agility.
Results: The final model of agile hospital supply chain management with 16 dimensions had 8 levels, which was at the highest level of cost reduction and at the lowest level of organizational leadership commitment. The results indicate that leadership commitment is the foundation of supply chain agility in the hospital. Knowledge management variable had low impact and effectiveness and was known as a secondary leverage variable. The results showed that most agile supply chain management aspects of the main causes of complex communication and interaction, and the importance of agility in the hospital of the show.
Conclusion: The analysis and interpretation of functional from the aspect of Impact and Influence of agility dimensions in hospital environment Showed that, Dimensions of strategic planning, human resource development and staff skills training, human resource management and employee satisfaction, process management, process integration and organizational transformation, flexibility, organizational communication development and information management integration, service quality management and continuous improvement, acceptance of new technology and new ideas, speed of service, patient understand and satisfaction, monitor, find best responds demand and market sensitivity in the strategic area are located and They cause model instability and With high impact and high influence, They play an important role in the agility of hospital supply chain management.
Haleh Mohammadiha, Gholam Reza Memarzadeh, Parham Azimi,
Volume 15, Issue 3 (8-2021)
Volume 15, Issue 3 (8-2021)
Abstract
Background and Aim: Health systems have played an important role in improving and increasing life expectancy. However, there is a large gap between health systems’ potential and their current performance, most of which relate to governance issues. The purpose of this study is to provide a model for improving the governance of the country's health system.
Materials and Methods: The present study is applied-developmental in terms of purpose. After reviewing the theoretical foundations and previous research, the governance strategies of the health system were identified. Then, using Fuzzy Delphi Method (FDM) and surveying 13 academic and executive experts who were purposefully selected, the research model was designed. Finally, in order to validate the model, 169 managers and specialists of health system departments in Tehran were interviewed with a questionnaire, and the data were analyzed using structural equation modeling (SEM) and SmartPLS software. At this stage, the sampling method was available and the sample size was calculated by Cochran's method.
Results: According to the research findings, in order to promote health governance, 10 main strategies and 58 sub-strategies should be considered. Identified strategies include strategic orientation, optimal financial resource management, stakeholder partnership development, knowledge resource development, administrative health promotion, technical knowledge development, value and ethical orientation, executive and operational platform development, Service delivery capacity management and Balanced and integrated stewardship. Also, the coefficient of determination for the outcome variable is 0.549 and the intensity of the effect of intervening/ facilitating and contextual factors on governance strategies is equal to 0.610 and 0.533, respectively.
Conclusion: The results showed that the governance of the health system is a multifaceted and complex phenomenon and in order to improve it, a set of strategies must be implemented. In addition, it is suggested that according to the issues and threats facing the health system, a roadmap and a long-term plan should be developed in order to move towards the governance model proposed in the present study.
Materials and Methods: The present study is applied-developmental in terms of purpose. After reviewing the theoretical foundations and previous research, the governance strategies of the health system were identified. Then, using Fuzzy Delphi Method (FDM) and surveying 13 academic and executive experts who were purposefully selected, the research model was designed. Finally, in order to validate the model, 169 managers and specialists of health system departments in Tehran were interviewed with a questionnaire, and the data were analyzed using structural equation modeling (SEM) and SmartPLS software. At this stage, the sampling method was available and the sample size was calculated by Cochran's method.
Results: According to the research findings, in order to promote health governance, 10 main strategies and 58 sub-strategies should be considered. Identified strategies include strategic orientation, optimal financial resource management, stakeholder partnership development, knowledge resource development, administrative health promotion, technical knowledge development, value and ethical orientation, executive and operational platform development, Service delivery capacity management and Balanced and integrated stewardship. Also, the coefficient of determination for the outcome variable is 0.549 and the intensity of the effect of intervening/ facilitating and contextual factors on governance strategies is equal to 0.610 and 0.533, respectively.
Conclusion: The results showed that the governance of the health system is a multifaceted and complex phenomenon and in order to improve it, a set of strategies must be implemented. In addition, it is suggested that according to the issues and threats facing the health system, a roadmap and a long-term plan should be developed in order to move towards the governance model proposed in the present study.
Mr Kasra Dolatkhahi, Adel Azar, Tooraj Karimi, Mohammad Hadizadeh,
Volume 15, Issue 4 (10-2021)
Volume 15, Issue 4 (10-2021)
Abstract
Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultimately diagnosing the risk of Breast cancer.
Materials and Methods: In the present study, first, by content analysis and library studies, the effective factors in Breast cancer were identified, then with the help of a team of experts consisting of physicians and subspecialists in Breast oncology and Breast surgery; With the help of the Delphi method, the factors were adjusted and 26 final factors that were numerically correct and string based on local and climatic conditions were approved. Then, according to the final factors and based on the medical records of 5208 patients in the Cancer Research Center of Shahid Beheshti University of medical sciences, to diagnose cancer, Decision Tree, Random Forest, and Support Vector Machine methods were used as machine learning methods.
Results: In the first step, by content analysis method, 29 effective factors in Breast cancer were identified. Then, taking into account the indigenous and climatic conditions and using the Delphi method and also using the opinions of 18 Experts during three years, 26 factors were finalized. In the final step, using the medical records of the patients and the results obtained from the three methods mentioned, random forest, had the highest accuracy of 94.75% and precision of 97.26% in diagnosing Breast cancer. It has been noted that, compared to other similar studies, indigenous databases have been exploited, the accuracy obtained has been very close to previous studies, and in many cases much better.
Conclusion: Using the random forest method and taking advantage of the factors affecting Breast cancer, the ability to diagnose cancer has been provided with greatest accuracy.
Materials and Methods: In the present study, first, by content analysis and library studies, the effective factors in Breast cancer were identified, then with the help of a team of experts consisting of physicians and subspecialists in Breast oncology and Breast surgery; With the help of the Delphi method, the factors were adjusted and 26 final factors that were numerically correct and string based on local and climatic conditions were approved. Then, according to the final factors and based on the medical records of 5208 patients in the Cancer Research Center of Shahid Beheshti University of medical sciences, to diagnose cancer, Decision Tree, Random Forest, and Support Vector Machine methods were used as machine learning methods.
Results: In the first step, by content analysis method, 29 effective factors in Breast cancer were identified. Then, taking into account the indigenous and climatic conditions and using the Delphi method and also using the opinions of 18 Experts during three years, 26 factors were finalized. In the final step, using the medical records of the patients and the results obtained from the three methods mentioned, random forest, had the highest accuracy of 94.75% and precision of 97.26% in diagnosing Breast cancer. It has been noted that, compared to other similar studies, indigenous databases have been exploited, the accuracy obtained has been very close to previous studies, and in many cases much better.
Conclusion: Using the random forest method and taking advantage of the factors affecting Breast cancer, the ability to diagnose cancer has been provided with greatest accuracy.
Hamzeh Amin-Tahmasbi, Kimia Malekzadeh Shafaroudi,
Volume 16, Issue 4 (10-2022)
Volume 16, Issue 4 (10-2022)
Abstract
Background and Aim: Today, treatment is one of the important goals of tourism. Tourism in health and healthcare is growing rapidly in the world. Despite the fact that Guilan province, as one of the most important and touristic provinces of the country, has an annual population of 500,000 foreign tourists and can be the center of health tourism in Iran. Unfortunately, this province has not been able to have a proper share of the revenues of this field and attract foreign patients in parallel with its treatment capacities.
Materials and Method: The aim of this study was to identify the factors affecting the development of health tourism. In this regard, first, literature review was used and opinions of experts in this field, who were employees in five hospitals in Rasht, including Velayat, PourSina, Aria, Pars and Qaem hospitals, were selected using the Snowball sampling method. Twenty-five effective factors were identified and using Delphi method, 14 factors were selected as the final factor. Then by used of the Best and Worst Method (BWM), the importance of each factor was determined. Finally, using DEMATEL method, the effect of this factor on each other was determined.
Results: After conducting two rounds of Delphi, 11 factors that had an average lower than the average of the total opinions of the experts and there was more disagreement about them were eliminated. Then, by implementing the best-worst method, the quality of medical services was determined as the most important factor, and the ease of booking an appointment in advance for admission and the status of the banking system were determined as the least important factors among the final factors. Also, based on the results of the DEMATEL method, the quality of medical services has the greatest effect and the ease of booking an appointment in advance for admission has the least effect on other factors. Finally, the quality of medical services is the most effective and appropriate advertising about health tourism in domestic and foreign chambers of commerce has the least effectiveness.
Conclusion: Health tourism in Iran despite the relative quality and cheap price, has not yet found its place in the market due to the lack of proper advertising is still taking the first steps. Considering the environmental conditions and the existence of tourism aspects of Rasht, carrying out measures such as improving the quality of medical services, appropriate marketing, and improving infrastructures will lead to the development and improvement of health tourism, and as a result, increasing satisfaction and attracting more customers.
Materials and Method: The aim of this study was to identify the factors affecting the development of health tourism. In this regard, first, literature review was used and opinions of experts in this field, who were employees in five hospitals in Rasht, including Velayat, PourSina, Aria, Pars and Qaem hospitals, were selected using the Snowball sampling method. Twenty-five effective factors were identified and using Delphi method, 14 factors were selected as the final factor. Then by used of the Best and Worst Method (BWM), the importance of each factor was determined. Finally, using DEMATEL method, the effect of this factor on each other was determined.
Results: After conducting two rounds of Delphi, 11 factors that had an average lower than the average of the total opinions of the experts and there was more disagreement about them were eliminated. Then, by implementing the best-worst method, the quality of medical services was determined as the most important factor, and the ease of booking an appointment in advance for admission and the status of the banking system were determined as the least important factors among the final factors. Also, based on the results of the DEMATEL method, the quality of medical services has the greatest effect and the ease of booking an appointment in advance for admission has the least effect on other factors. Finally, the quality of medical services is the most effective and appropriate advertising about health tourism in domestic and foreign chambers of commerce has the least effectiveness.
Conclusion: Health tourism in Iran despite the relative quality and cheap price, has not yet found its place in the market due to the lack of proper advertising is still taking the first steps. Considering the environmental conditions and the existence of tourism aspects of Rasht, carrying out measures such as improving the quality of medical services, appropriate marketing, and improving infrastructures will lead to the development and improvement of health tourism, and as a result, increasing satisfaction and attracting more customers.
Kourosh Abbasiyan, Mohammad Alimoradnori, Mohammad Bagher Karami,
Volume 18, Issue 2 (5-2024)
Volume 18, Issue 2 (5-2024)
Abstract
Background and Aim: Managers, as the main decision-makers in facing various internal and external organizational problems, play a significant and determining role in the success or even failure of an organization. If competent and experienced managers are positioned at the top of organizations, the success of these organizations in achieving their goals will be guaranteed and an organization can achieve maximum efficiency with minimal resources. The aim of this study was to design a model of managerial competencies for hospital managers.
Materials and Methods: This qualitative research was conducted from year 2020 to 2022. After reviewing studies related to the topic, the extracted competencies were given to 19 experts consisted of relevant academic faculty members and managers with experience in the healthcare system and hospitals. Eventually, a managerial competency model was formulated through the use of the Delphi method and expert panel discussions. Collected data were analyzed in Excel software.
Results: The developed model in this research for the concept of hospital managers’ competencies includes 33 managerial competencies of hospital managers in four main management functions (planning, organizing, leadership and control) and managerial roles, which starts from literature review and performing two Delphi steps and implementing two expert panel plans. In the competency of hospital managers model, the planning dimension consists 4 components, organizing consists 4 components, leadership consists 12 components, control consists 4 components, and managerial roles consists 9 components. Strategic thinking, which is a subset of planning, has the highest weight (0.495) and highest rank among other components, and continuous improvement, which is a subset of managerial roles, has the lowest weight (0.033) and lowest rank among other components.
Conclusion: This study proposes an exclusive and comprehensive model, utilizing practical techniques as a suitable solution for evaluating the managerial competencies of hospital managers. The proposed framework in this study can serve as a standard performance assessment tool for evaluating managers.
Materials and Methods: This qualitative research was conducted from year 2020 to 2022. After reviewing studies related to the topic, the extracted competencies were given to 19 experts consisted of relevant academic faculty members and managers with experience in the healthcare system and hospitals. Eventually, a managerial competency model was formulated through the use of the Delphi method and expert panel discussions. Collected data were analyzed in Excel software.
Results: The developed model in this research for the concept of hospital managers’ competencies includes 33 managerial competencies of hospital managers in four main management functions (planning, organizing, leadership and control) and managerial roles, which starts from literature review and performing two Delphi steps and implementing two expert panel plans. In the competency of hospital managers model, the planning dimension consists 4 components, organizing consists 4 components, leadership consists 12 components, control consists 4 components, and managerial roles consists 9 components. Strategic thinking, which is a subset of planning, has the highest weight (0.495) and highest rank among other components, and continuous improvement, which is a subset of managerial roles, has the lowest weight (0.033) and lowest rank among other components.
Conclusion: This study proposes an exclusive and comprehensive model, utilizing practical techniques as a suitable solution for evaluating the managerial competencies of hospital managers. The proposed framework in this study can serve as a standard performance assessment tool for evaluating managers.
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