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A Hybrid Fuzzy Multi-Criteria Decision-Making Model to Evaluate the Overall Performance of Public Emergency Departments: A Case Study

Author

Listed:
  • Miguel Ortiz-Barrios

    (Department of Industrial Management, Agroindustry and Operations, Universidad de la Costa CUC, 58th Street # 55-66, Barranquilla, Colombia)

  • Juan-Jose Alfaro-Saiz

    (Research Centre on Production Management and Engineering, Universitat Politècnica de València, Camino de Vera S/N, Edificio 8G, Acceso D Planta 1 Valencia, 46022, Spain)

Abstract

Performance evaluation is relevant for supporting managerial decisions related to the improvement of public emergency departments (EDs). As different criteria from ED context and several alternatives need to be considered, selecting a suitable Multicriteria Decision-Making (MCDM) approach has become a crucial step for ED performance evaluation. Although some methodologies have been proposed to address this challenge, a more complete approach is still lacking. This paper bridges this gap by integrating three potent MCDM methods. First, the Fuzzy Analytic Hierarchy Process (FAHP) is used to determine the criteria and sub-criteria weights under uncertainty, followed by the interdependence evaluation via fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL). The fuzzy logic is merged with AHP and DEMATEL to illustrate vague judgments. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used for ranking EDs. This approach is validated in a real 3-ED cluster. The results revealed the critical role of Infrastructure (21.5%) in ED performance and the interactive nature of Patient safety (C+R=12.771). Furthermore, this paper evidences the weaknesses to be tackled for upgrading the performance of each ED.

Suggested Citation

  • Miguel Ortiz-Barrios & Juan-Jose Alfaro-Saiz, 2020. "A Hybrid Fuzzy Multi-Criteria Decision-Making Model to Evaluate the Overall Performance of Public Emergency Departments: A Case Study," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(06), pages 1485-1548, November.
    • Handle: RePEc:wsi:ijitdm:v:19:y:2020:i:06:n:s0219622020500364
    DOI: 10.1142/S0219622020500364
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    Citations

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    Cited by:

    1. Antonio Lombardi Netto & Valerio Antonio Pamplona Salomon & Miguel Angel Ortiz Barrios, 2021. "Multi-Criteria Analysis of Green Bonds: Hybrid Multi-Method Applications," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
    2. Miguel Angel Ortíz-Barrios & Dayana Milena Coba-Blanco & Juan-José Alfaro-Saíz & Daniela Stand-González, 2021. "Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review," IJERPH, MDPI, vol. 18(16), pages 1-31, August.
    3. Jose Martino Neto & Valerio Antonio Pamplona Salomon & Miguel Angel Ortiz-Barrios & Antonella Petrillo, 2023. "Compatibility and correlation of multi-attribute decision making: a case of industrial relocation," Annals of Operations Research, Springer, vol. 326(2), pages 831-852, July.

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