A Fuzzy Hybrid MCDM Approach for Assessing the Emergency Department Performance during the Covid-19 Outbreak
Bibliographic Data
| ID | 15475490 |
|---|---|
| Authors | Miguel Ortíz‐Barrios (0000-0001-6890-7547, University of the Coast, corresponding author), Miguel Ortiz-Barrios (Department of Productivity and Innovation, Universidad de la Costa CUC, Barranquilla 081001, Colombia), Natalia Jaramillo-Rueda (University of the Coast), Muhammet Gül (0000-0002-5319-4289, Istanbul University), Melih Yücesan (0000-0001-6148-4959, Munzur University), Genett Jiménez‐Delgado (0000-0003-1016-5805, Corporación Universitaria Latinoamericana), Juan José Alfaro Saiz (0000-0003-2587-6853, Universitat Politècnica de València) |
| Year | 2023 |
| Volume | 20 |
| Issue | 5 |
| Pages | 4591-4591 |
| Publication date | 2023-03-05 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20054591 |
| PMID | 36901601 |
| OpenAlex | W4323318003 |
| Language | EN |
| References cited | 92 |
The use of emergency departments (EDs) has increased during the COVID-19 outbreak, thereby evidencing the key role of these units in the overall response of healthcare systems to the current pandemic scenario. Nevertheless, several disruptions have emerged in the practical scenario including low throughput, overcrowding, and extended waiting times. Therefore, there is a need to develop strategies for upgrading the response of these units against the current pandemic. Given the above, this paper presents a hybrid fuzzy multicriteria decision-making model (MCDM) to evaluate the performance of EDs and create focused improvement interventions. First, the intuitionistic fuzzy analytic hierarchy process (IF-AHP) technique is used to estimate the relative priorities of criteria and sub-criteria considering uncertainty. Then, the intuitionistic fuzzy decision making trial and evaluation laboratory (IF-DEMATEL) is employed to calculate the interdependence and feedback between criteria and sub-criteria under uncertainty, Finally, the combined compromise solution (CoCoSo) is implemented to rank the EDs and detect their weaknesses to device suitable improvement plans. The aforementioned methodology was validated in three emergency centers in Turkey. The results revealed that the most important criterion in ED performance was ER facilities (14.4%), while Procedures and protocols evidenced the highest positive D + R value (18.239) among the dispatchers and is therefore deemed as the main generator within the performance network
Analytic hierarchy process · Fuzzy logic · Machine learning · Multiple-criteria decision analysis · Operations research · Ranking (information retrieval · Reliability engineering · Risk analysis (engineering · Computer Science · Disaster Management and Resilience · Engineering · Facility Location and Emergency Management · Mathematics · Medicine · Multi-Criteria Decision Making · Artificial Intelligence
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| Citation velocity | historical |
|---|---|
| Highly cited | No |