Impact of Ambulance Dispatch Policies on Performance of Emergency Medical Services

Lim, Cheng Siong; Mamat, Rosbi; Bräunl, Thomas

doi:10.1109/tits.2010.2101063

Cited by 76 publications

(37 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lim et al [46] made a review of dynamic dispatch policies and they compared the advantages and disadvantages of each type. Dynamic dispatch requires fewer ambulances because it is more efficient but if the actual number of trips rerouted is not significant, the performance is not much better than multi-location dispatch.…”

Section: Ambulance Dispatchmentioning

confidence: 99%

A generic method to develop simulation models for ambulance systems

Pinto

Silva

2015

Simulation Modelling Practice and Theory

View full text Add to dashboard Cite

In this paper, we address the question of generic simulation models and their role in improving emergency care around the world. After reviewing the development of ambulance models and the contexts in which they have been applied, we report the construction of a reusable model for ambulance systems. Further, we describe the associated parameters, data sources, and performance measures, and report on the collection of information, as well as the use of optimisation to configure the service to best effect. Having developed the model, we have validated it using real data from the emergency medical system in a Brazilian city, Belo Horizonte. To illustrate the benefits of standardisation and reusability we apply the model to a UK context by exploring how different rules of engagement would change the performance of the system. Finally, we consider the impact that one might observe if such rules were adopted by the Brazilian system.

show abstract

Section: Ambulance Dispatchmentioning

confidence: 99%

A generic method to develop simulation models for ambulance systems

Pinto

Silva

2015

Simulation Modelling Practice and Theory

View full text Add to dashboard Cite

show abstract

“…This number far exceeds the annual road fatalities in the UK (1,901 fatalities and 23,122 serious injuries in year 2011 [12]) or the estimated 7,500 premature deaths from transport in general [11]. New and potentially cleaner transport technologies such as EVs, however, are not yet mainstream and their wider adoption has been hindered by several issues including high purchase costs, short vehicle driving ranges, limited recharging/refuelling stations, time-consuming recharging of batteries, vehicle safety, specialist vehicle applicability, and concerns of electricity infrastructure inadequacy in many regions [2,3,9,10,[13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Testing energy efficiency and driving range of electric vehicles in relation to gear selection

et al. 2014

View full text Add to dashboard Cite

Electric vehicles (EVs) have the potential to be operated using a clean, renewable energy source. However, a major limitation is their relatively short vehicle driving range and the associated driver 'range anxiety'. This research investigates the effect of gearing on energy consumption and driving range efficiency on an EV-converted Ford Focus using a chassis dynamometer in a controlled test environment in accordance with international standards.Two designs of the Ford Focus were used in the tests; one with an automatic gear drive, and the other with a manual gear drive. The electricity consumption of the two cars driving under different gearing configurations was measured under identical drive cycles. The vehicle range tests showed that measuring energy consumption on just two consecutive drive cycles on a calibrated chassis dynamometer will lead to a small overestimation of the energy consumption due to a 'cold' drive train. The results also suggest greater attention needs to be paid to EV battery charger efficiency, particularly in terms of standby energy consumption, which can increase the total energy required for EV owners markedly.

show abstract

“…If so, the call is transferred to the dispatcher, who decides which ambulance will respond [446]. Many dispatching rules exist, and a commonly used rule is to send the ambulance closest to the emergency [330]. However, when predictions on future emergency calls are incorporated, sending the closest ambulance is not always optimal, as dispatching an ambulance makes it temporarily unavailable to respond to other calls.…”

Section: Online Operational Planningmentioning

confidence: 99%

“…When multiple calls come in, prioritizing calls and dispatching accordingly may balance ambulance workload [204]. Prioritizing and dispatching based on urgency improves response rates for the high-urgent calls [330]. After the dispatching decision has been made and an ambulance is traveling to the emergency, a request for emergency care may be canceled, leading to resource idle time [237].…”

Section: Online Operational Planningmentioning

confidence: 99%

See 1 more Smart Citation

Integrated decision making in healthcare : an operations research and management science perspective

Hulshof¹

View full text Add to dashboard Cite

Impact of Ambulance Dispatch Policies on Performance of Emergency Medical Services

Cited by 76 publications

References 42 publications

A generic method to develop simulation models for ambulance systems

A generic method to develop simulation models for ambulance systems

Testing energy efficiency and driving range of electric vehicles in relation to gear selection

Integrated decision making in healthcare : an operations research and management science perspective

Contact Info

Product

Resources

About