2015
DOI: 10.1504/ijpm.2015.066291
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A decision support tool, implemented in a system dynamics model, to improve the effectiveness in the hospital emergency department

Abstract: The emergency department of a hospital is, among all areas in which lean policies are focused, the one that has received the most attention. The emergency room, in fact, plays a vital role in providing primary care to patients and is also recognized for the contribution it gives to society. The important results in terms of cost savings and improving the flow due to the reduction of the waiting time of the patients, obtained from major international hospitals, were crucial to assess whether it was possible and… Show more

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Cited by 10 publications
(17 citation statements)
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“…Similar applications using DES and optimization models can be found at Kuo [174] and Sinreich et al [121]. Other studies expose the integration of simulation with BSC and PRIME [131], FAHP and MAUT [129], DGP [20], lean manufacturing [116,166], six sigma [198], DOE [111,124], approximation algorithm [103], and other OR methods [102] for reducing overcrowding within emergency departments. However, none of these integrations has been widely adopted in the ED context.…”
Section: Papers Focusing On Reducing the Waiting Timementioning
confidence: 80%
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“…Similar applications using DES and optimization models can be found at Kuo [174] and Sinreich et al [121]. Other studies expose the integration of simulation with BSC and PRIME [131], FAHP and MAUT [129], DGP [20], lean manufacturing [116,166], six sigma [198], DOE [111,124], approximation algorithm [103], and other OR methods [102] for reducing overcrowding within emergency departments. However, none of these integrations has been widely adopted in the ED context.…”
Section: Papers Focusing On Reducing the Waiting Timementioning
confidence: 80%
“…In this paper, the very-well known "Value Stream Mapping" was found to be useful for detecting non-value added times within Sadi Konuk hospital ED. Similar implementations can be also found in studies such as Martínez et al [176] and Romano et al [116]. As a step towards reducing lengthy waiting times, other methods have been integrated with simulation: BSC and PRIME [131], DEA [162], DGP [20], statistical methods [25], machine learning [171] and group decision-making [125].…”
Section: Papers Focusing On Reducing the Waiting Timementioning
confidence: 89%
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