Assessing the agility of hospitals in disaster management: application of interval type-2 fuzzy Flowsort inference system

Moheimani, Arash; Sheikh, Reza; Hosseini, Seyed Mohammad Hassan; Sana, Shib Sankar

doi:10.1007/s00500-020-05418-1

Cited by 35 publications

(24 citation statements)

References 79 publications

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“…Moheimani et al, (2020) assessed the hospital agility based on a type-2 fuzzy flowsort inference system. Their results showed that 40% of 30 case studies hospitals are agile [28]. Qin et al, (2020) evaluated the risk using integrated FMEA and interval type-2 fuzzy evidential reasoning method.…”

Section: Literature Reviewmentioning

confidence: 99%

Risk assessment of medical devices used for COVID-19 patients based on a Markovian-based Weighted Failure Mode Effects Analysis (WFMEA)

et al. 2022

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Medical devices are critical in the healthcare system and their failures can significantly impress the safety of patients, medical staff, and clinical engineers. With increasing COVID-19 pandemic in recent months, it is more necessary to assess the risks of the devices to avoid infection for patients, death, and severe hurts due to inactive and breakdown devices. The aim of this study is to assess medical device risks in general and pandemic situations with three main factors of the Failure Model Analysis Effect include occurrence, detection, and severity. Some sub-factors are defined and weighted using the Fuzzy DEMATEL and Fuzzy Best-Worst Method. Consequently, the weighted FMEA score of each failure is calculated as the Weighted Risk Priority Number. Finally, steady-state probabilities of very low and low failures are calculated to consider the changes during the time. Results show that near half of the failures are scored in very low and low levels but in the long term, most of them transfer to medium level risk. It can be concluded that some preventive maintenance plans for these kinds of failures to avoid occurring the higher risk level for them in the future is necessary and the results can help medical device managers.

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Section: Literature Reviewmentioning

confidence: 99%

Risk assessment of medical devices used for COVID-19 patients based on a Markovian-based Weighted Failure Mode Effects Analysis (WFMEA)

et al. 2022

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“…Studies developed for these situations were also discussed with the motivation of “evaluation of disaster preparedness of hospitals”. The topic of disaster preparedness assessment of hospitals is not yet an area in which there are many studies in the literature [ 9 , [44] , [45] , [46] , [47] , [48] , [49] ]. While some of the studies conducted are conceptual or cross-sectional questionnaire-based studies by researchers from medical branches, others are MCDM-based studies where researchers from the field of computer science generally work.…”

Section: Review Of the Literaturementioning

confidence: 99%

A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case

Ortíz‐Barrios

Gül

Yücesan

et al. 2022

International Journal of Disaster Risk Reduction

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The recent increase in the number of disasters over the world has once again brought to the agenda the question of preparedness of the hospitals, which are the most necessary units of healthcare pillar to resist these disasters. The COVID-19 epidemic disease, which has affected the whole world, has caused a large number of people to die in some countries simply because of the inadequate and incomplete planning and lack of readiness of hospitals. For this reason, determining the disaster preparedness level of hospitals is an important issue that needs to be studied and it is important in terms of disaster damage reduction. In this study, a fuzzy hybrid decision-making framework is proposed to assess hospital disaster preparedness. The framework covers three important decision-making methods. For the first phase, Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) is used to assign relative weights for several disaster preparedness criteria considering uncertainty. Secondly, Intuitionistic Fuzzy Decision Making Trial and Evaluation Laboratory (IF-DEMATEL) is applied to identify interrelations among these criteria and feedback. Finally, via the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, priorities of hospitals regarding disaster readiness are obtained. A case study involving the participation of 10 Colombian tertiary hospitals is carried out to show the applicability of this fuzzy hybrid approach.

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“…It was determined that there was a need for medical equipment and drug resources. Also, a second study by Moheimani et al ( 2021b ) focused on assessing the agility of hospitals in disaster management. They developed an interval type-2 fuzzy Flowsort inference system-based model and assessed 30 hospitals’ agility in disasters.…”

Section: Literature Reviewmentioning

confidence: 99%

A Bayesian BWM and VIKOR-based model for assessing hospital preparedness in the face of disasters

2021

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Assessing the agility of hospitals in disaster management: application of interval type-2 fuzzy Flowsort inference system

Cited by 35 publications

References 79 publications

Risk assessment of medical devices used for COVID-19 patients based on a Markovian-based Weighted Failure Mode Effects Analysis (WFMEA)

Risk assessment of medical devices used for COVID-19 patients based on a Markovian-based Weighted Failure Mode Effects Analysis (WFMEA)

A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case

A Bayesian BWM and VIKOR-based model for assessing hospital preparedness in the face of disasters

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