| Autor: |
Etu, Egbe-Etu, Monplaisir, Leslie, Aguwa, Celestine, Masoud, Sara, Arslanturk, Suzan, Markevych, Ihor, Miller, Joseph |
| Předmět: |
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| Zdroj: |
IEOM North American Conference Proceedings; Oct2020, Vol. 2, p1944-1954, 11p |
| Abstrakt: |
The COVID-19 pandemic, as an instance of medical surge, has presented significant challenges to healthcare systems around the world. Efficient operations and management have been a major challenge for hospital administrators during this pandemic. The objective of this research is to conduct a comparative study of two fuzzy Delphi approaches, the traditional fuzzy Delphi (TFD) and modified fuzzy Delphi (MFD), for metrics identification in a hospital surge scenario. To the best of our knowledge, literature lacks a comparison between decision outcomes obtained based on the TFD and other proposed fuzzy Delphi methods. Questionnaire data from our prior work is used for this comparative analysis. The results illustrate that twenty-one metrics based on the TFD method and twenty metrics based on the MFD method were identified for measuring ED's efficiency. The stability of the group responses was confirmed using the U test (p = 0.0001 and 0.0047) for TFD and MFD, respectively. The analysis shows that the MFD method outperformed the TFD approach in handling the fuzziness in experts' responses. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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