Improving performances of the emergency department using discrete event simulation, DEA and the MADM methods
| Autor: | Ehsan Rashidi, Amir Saman Kheirkhah, Alireza Gharahighehi, Ali Bagheri |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering Operations research Delphi method Analytic hierarchy process Health Informatics 02 engineering and technology lcsh:Computer applications to medicine. Medical informatics specimen queues 020901 industrial engineering & automation DEA Health Information Management 0202 electrical engineering electronic engineering information engineering Operations management Discrete event simulation non-homogenous arrivals Original Research discrete event simulation Emergency department business.industry Health Policy Rank (computer programming) Confidence interval Computer Science Applications Ranking lcsh:R858-859.7 020201 artificial intelligence & image processing extended VIKOR method business Inefficiency |
| Zdroj: | Digital Health, Vol 2 (2016) Digital health |
| ISSN: | 2055-2076 |
| Popis: | This article presents a method by which performances at an emergency department (ED) in a large hospital in Iran could be improved, where the long waiting times and unbalanced utilization create problems for patients and ED staff. This method firstly simulates patient flow in the ED and finds bottlenecks that cause inefficiency in ED performance. In the simulation model, patient arrival is assumed to be non-homogenous and the operation of medical tests such as MRI, CT scan, pathology testing, laboratory testing, ultrasonography, and radiology are detailed and virtual queues of patients' specimens are considered separately from patient queues. Based on the simulation reports of the current situation and target criteria, what-if scenarios were used to design scenarios that could improve ED performance. This method used the data envelopment method (DEA) to determine efficient scenarios, analytic hierarchy process (AHP) to specify the weight of each criterion, the Delphi method to specify suitable utilization rates for various resources, and the extended Vlsekriterijumska Optimizacija I KOmpromisno Resenje (VIKOR) method to compare data on 95% confidence intervals from efficient scenarios and to rank scenarios by considering conflicting criteria. Implementing the first scenario in the ranking would reduce acute patients' overall waiting time by approximately 5%, and it doesn't require any additional investments. |
| Databáze: | OpenAIRE |
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