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Showing 2 results for Fuzzy Cognitive Map

Alireza Ahmadnezhad, Mohamad Sadegh Sangari, Ali Bozorgi-Amiri ,
Volume 11, Issue 6 (3-2018)
Abstract

Background and Aim: Nowadays, e-procurement systems have provided many opportunities to improve supply and procurement activities in healthcare industry through Internet-based electronic communications for supplier-buyer interactions. Considering the fact that the implementation of these systems is not successful in many cases, extensive preparation in relevant areas is necessary before implementation. This paper aims to present a framework of key readiness factors of hospitals for the adoption of e-procurement system.
Materials and Methods: This study was an applied descriptive survey. The framework of readiness factors was developed based on an extensive review of literature and e-readiness models as well as opinions of experts in the field of information technology, procurement, and healthcare systems. The proposed framework was applied in a case study of a specialty hospital located in Tehran in 2016. The data were collected using a questionnaire, and Fuzzy Cognitive Map (FCM) method was used for modeling and analysis of the identified factors.
Results: In this research, a comprehensive framework of critical readiness factors of hospitals for e-procurement adoption was developed comprising five main components: management, technology, process, human resource, and environment. Environmental and managerial factors were identified as the most important readiness determinants of the case hospital, and among various factors, managers' expertise in IT, IT infrastructures of hospital, and continuous monitoring of system's performance are of higher priority.
Conclusion: This paper provides guidance for more accurate planning to improve readiness and successful adoption of e-procurement systems in hospitals by identifying the most important influential readiness factors.

Fatemeh Soofiabadi, Alireza Shahraki, Mohebali Rahdar,
Volume 18, Issue 3 (7-2024)
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.


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