A simulation analysis of the impact of FAHP–MAUT triage algorithm on the Emergency Department performance measures

Ashour, Omar; Kremer, Gül E. Okudan

doi:10.1016/j.eswa.2012.07.024

Cited by 62 publications

(36 citation statements)

References 17 publications

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“…The vast majority of models are very unit specific. Approaches taken include assessment of working practices [1,[3][4][5], shift patterns [5], equipment bottlenecks [9], and in some cases, patient pathways themselves [20]. Interactions of ED patient flow with the wider hospital context are clearly also important [7], and examination of these interactions can be achieved using DES models, or sometimes may be better analysed by other techniques [29,32].…”

Section: Pathway Redesign In Emergency Departmentsmentioning

confidence: 99%

Redesigning the diagnostic pathway for chest pain patients in emergency departments

Rachuba

Salmon

Zhelev

et al. 2017

Health Care Manag Sci

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Patients presenting with chest pain at an emergency department in the United Kingdom receive troponin tests to assess the likelihood of an acute myocardial infarction (AMI). Until recently, serial testing with two blood samples separated by at least six hours was necessary in order to analyse the change in troponin levels over time. New high-sensitivity troponin tests, however, allow the inter-test time to be shortened from six to three hours. Recent evidence also suggests that the new generation of troponin tests can be used to rule out AMI on the basis of a single test if patients at low risk of AMI present with very low cardiac troponin levels more than three hours after onset of worst pain. This paper presents a discrete event simulation model to assess the likely impact on the number of hospital admissions if emergency departments adopt strategies for serial and single testing based on the use of high-sensitivity troponin. Data sets from acute trusts in the South West of England are used to quantify the resulting benefits.

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Section: Pathway Redesign In Emergency Departmentsmentioning

confidence: 99%

Redesigning the diagnostic pathway for chest pain patients in emergency departments

Rachuba

Salmon

Zhelev

et al. 2017

Health Care Manag Sci

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“…Some modifications of MAVT/MAUT are also used within multicriteria risk evaluation [54,55] (see also sections 5.2.2-5.2.4 below).…”

Section: E(u(a)) = W 1 E(u 1 (X 1 )) +…+ W M E(u M (X M ))mentioning

confidence: 99%

Decerns: A Framework for Multi-Criteria Decision Analysis

Yatsalo¹,

Didenko²,

Gritsyuk³

et al. 2015

IJCIS

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A new framework, Decerns, for multicriteria decision analysis (MCDA) of a wide range of practical problems on risk management is introduced. Decerns framework contains a library of modules that are the basis for two scalable systems: DecernsMCDA for analysis of multicriteria problems, and DecernsSDSS for multicriteria analysis of spatial options. DecernsMCDA includes well known MCDA methods and original methods for uncertainty treatment based on probabilistic approaches and fuzzy numbers. These MCDA methods are described along with a case study on analysis of multicriteria location problem.

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“…While most ED studies assume the triage categories and prioritization fixed, some studies investigate alternative admission control policies [12,13,211,212,255]. [12] compares waiting time, tardiness and length of stay of patients per urgency type under two triage policies. While no overall differences are found, there are differences between urgency types, with one triage system performing better for lower urgency patients.…”

Section: Tactical Planningmentioning

confidence: 99%

“…They dynamically determine the (near) optimal order of triage such that the number of abandonments is minimized. [12] also study the triage process at an ED using simulation. They use Multi Attribute Utility Theory (MAUT) to develop a triage algorithm and assist nurses in decision making.…”

Section: Categorization Of Patientsmentioning

confidence: 99%

“…There are various triage systems being used at emergency departments. Of these, the Australian Triage Scale (ATS) [55], Canadian Emergency Department Triage and Acuity Scale (CTAS) [132,166,166], Manchester Triage Scale (MTS) [29,193], and Emergency Severity Index (ESI) [12,13,36,62,72,145,161,206,206,208,211,243,261], and are most seen in practice [15,65,80,189,254]. These triage systems all categorize 2.3.…”

Section: Categorization Of Patientsmentioning

confidence: 99%

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Managing urgent care in hospitals

Borgman¹

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A simulation analysis of the impact of FAHP–MAUT triage algorithm on the Emergency Department performance measures

Cited by 62 publications

References 17 publications

Redesigning the diagnostic pathway for chest pain patients in emergency departments

Redesigning the diagnostic pathway for chest pain patients in emergency departments

Decerns: A Framework for Multi-Criteria Decision Analysis

Managing urgent care in hospitals

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