Volume 21, Issue 3 (9-2024)
jor 2024, 21(3): 151-171 |
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Heydari N, Fazayeli S, Doniavi A, Katebi Y. Prioritizing Patients Using Fuzzy Logic in Pandemic Conditions. jor 2024; 21 (3) :151-171
URL: http://jamlu.liau.ac.ir/article-1-2239-en.html
URL: http://jamlu.liau.ac.ir/article-1-2239-en.html
Assistant Professor, Department of Industrial Engineering, Faculty of Technology and Engineering, Urmia University, Iran i , s.fazayeli@urmia.ac.ir
Abstract: (644 Views)
Today, the pandemic and its containment conditions are significant as a health crisis in the world. However, according to the methods of prevention and management of the effective factors in its transmission, it can be prevented by observing safe distance. On the other hand, in any organization, it is undeniable to pay attention to the issue of satisfaction for the survival and sustainability of that center, and the success and profitability of any treatment center depend on the satisfaction of its clients. The aim of this research is to obtain patients' satisfaction, reduce the waiting time to see a doctor, make it profitable for medical centers and reduce the number of lost patients. The system presented in this research is a fuzzy prioritization system where the visit priority of each patient is met based on fuzzy criteria and the patient with a higher priority will receive the desired service faster. Today, people who refer to medical centers do not have the same value for the clinic in terms of earning money. On the other hand, due to limited resources and time, patients with higher value should be identified and prioritized to bring their satisfaction as much as possible. According to the research that was carried out, the individual characteristics of patients have been of less attention to researchers. Most of the studies have prioritized patients in terms of service type and quality. In this way, patients with higher priority receive premium services, while the innovation in this research is the waiting time for the visit and seeks to reduce this time for the clients. The fuzzy prioritization model investigated in this research includes two stages. In the first step, to calculate the initial priority, first 11 input variables were applied without considering the waiting time until the initial visit. Then, taking into account the waiting time for the patient's visit due to the fairness condition and increasing the patients' satisfaction, the initial priority that was obtained in the previous step was merged with this mentioned time and the final priority was obtained.
Keywords: Fuzzy Logic - Fuzzy Prioritization System, Prioritization Patients, Heart Clinic, Pandemic
Type of Study: Research |
Subject:
Special
Received: 2024/03/29 | Accepted: 2024/08/29 | Published: 2024/09/22
Received: 2024/03/29 | Accepted: 2024/08/29 | Published: 2024/09/22
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