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An integrated framework to evaluate and improve the performance of emergency departments during the COVID-19 pandemic: A mathematical programing approach.
Taghipour, Fatemeh; Hamid, Mahdi; Aghakarimi, Ehsan; Rabbani, Masoud.
  • Taghipour F; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Hamid M; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Aghakarimi E; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Rabbani M; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Proc Inst Mech Eng H ; 237(6): 683-705, 2023 Jun.
Article in English | MEDLINE | ID: covidwho-2319719
ABSTRACT
The emergency department (ED) is one of the most critical and high-risk sections of the health system. Providing quality services at a fast pace is vital in this ward since it directly affects people's lives. The COVID-19 pandemic has turned into a serious challenge for physicians and emergency departments (EDs). The growing number of patients who refer to EDs creates congestion, which will reduce the quality of services. Consequently, managing and operating EDs will be more urgent during this pandemic. Considering this problem, we first used data envelopment analysis (DEA) to evaluate the performance of EDs in the central provinces of Iran. Then, sensitivity analysis was used to determine the main factors affecting the efficiency of this ward. Accordingly, the high number of admitted patients, the congestion of the ward, and the long time required to report the COVID-19 test results were found to be the most influential factors. Finally, drawing on the results of sensitivity analysis, we advance a number of measures to improve these three and other related indicators. Furthermore, appropriate strategies were presented for improving health, COVID-19 management, key performance indicators, and safety indicators in accordance with the results of strengths-weaknesses-opportunity-threat (SWOT) analysis.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Proc Inst Mech Eng H Journal subject: Biomedical Engineering Year: 2023 Document Type: Article Affiliation country: 09544119231170303

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Proc Inst Mech Eng H Journal subject: Biomedical Engineering Year: 2023 Document Type: Article Affiliation country: 09544119231170303