An interactive decision support system for real-time ambulance relocation with priority guidelines

Hajiali, Mahdi; Teimoury, Ebrahim; Rabiee, Meysam; Delen, Dursun

doi:10.1016/j.dss.2021.113712

Cited by 12 publications

(8 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Seven studies used experimental design (theoretical applications with no simulation) and two studies reported a prospective, real-time evaluation of the models and technical systems (see online supplemental material 3). Two studies evaluated their developed models in real-time evaluations, one in both urban and rural areas16 and one in an urban context 17…”

Section: Resultsmentioning

confidence: 99%

“…Chain effects on other emergency calls due to dynamic ambulance relocations were reported 16. One study reported that dynamic ambulance relocation reduced the total working time of all ambulances by about 9% per shift 17…”

Section: Resultsmentioning

confidence: 99%

“…Two studies evaluated their developed models in real-time evaluations, one in both urban and rural areas 16 and one in an urban context. 17 …”

Section: Resultsmentioning

confidence: 99%

“… 16 One study reported that dynamic ambulance relocation reduced the total working time of all ambulances by about 9% per shift. 17 …”

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Dynamic ambulance relocation: a scoping review

Becker,

Kurland,

Höglund

et al. 2023

BMJ Open

View full text Add to dashboard Cite

ObjectivesDynamic ambulance relocation means that the operators at a dispatch centre place an ambulance in a temporary location, with the goal of optimising coverage and response times in future medical emergencies. This study aimed to scope the current research on dynamic ambulance relocation.DesignA scoping review was conducted using a structured search in PubMed, Scopus and Web of Science. In total, 21 papers were included.ResultsMost papers described research with experimental designs involving the use of mathematical models to calculate the optimal use and temporary relocations of ambulances. The models relied on several variables, including distances, locations of hospitals, demographic-geological data, estimation of new emergencies, emergency medical services (EMSs) working hours and other data. Some studies used historic ambulance dispatching data to develop models. Only one study reported a prospective, real-time evaluation of the models and the development of technical systems. No study reported on either positive or negative patient outcomes or real-life chain effects from the dynamic relocation of ambulances.ConclusionsCurrent knowledge on dynamic relocation of ambulances is dominated by mathematical and technical support data that have calculated optimal locations of ambulance services based on response times and not patient outcomes. Conversely, knowledge of how patient outcomes and the working environment are affected by dynamic ambulance dispatching is lacking. This review has highlighted several gaps in the scientific coverage of the topic. The primary concern is the lack of studies reporting on patient outcomes, and the limited knowledge regarding several key factors, including the optimal use of ambulances in rural areas, turnaround times, domino effects and aspects of working environment for EMS personnel. Therefore, addressing these knowledge gaps is important in future studies.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic ambulance relocation: a scoping review

Becker,

Kurland,

Höglund

et al. 2023

BMJ Open

View full text Add to dashboard Cite

show abstract

“…In this research, we focus on the set of linguistic labels used in the realm of Multi-Criteria Decision Making (MCDM), in particular used as part of the Analytic Hierarchy Process (AHP) proposed by Thomas L. Saaty (1977). Being one of the most popular methods in MCDM, this technique has found diverse applications such as the selection of cloud computing service provider (Tanoumand et al, 2017), formulating cryptocurrency mining strategies (Hacioglu et al, 2021), decision support system for real-time ambulance relocation (Hajiali et al, 2022), selection of agricultural irrigation systems (Veisi et al, 2022), task-oriented crowdsourcing recommendations (Li et al, 2021), etc. Detailed and structured reviews of the various developments of AHP are available in Ishizaka & Labib (2011) and Emrouznejad & Marra (2017).…”

Section: Introductionmentioning

confidence: 99%

A Basic Algorithm for Generating Individualized Numerical Scale (BAGINS)

Fahli¹,

Kılıç²

2022

Preprint

View full text Add to dashboard Cite

Linguistic labels are effective means of expressing qualitative assessments because they account for the uncertain nature of human preferences. However, to perform computations with linguistic labels, they must first be converted to numbers using a scale function. Within the context of the Analytic Hierarchy Process (AHP), the most popular scale used to represent linguistic labels numerically is the linear 1-9 scale, which was proposed by Saaty. However, this scale has been criticized by several researchers, and various alternatives are proposed in the literature. There is a growing interest in scale individualization rather than relying on a generic fixed scale since the perceptions of the decision maker regarding these linguistic labels are highly subjective. The methods proposed in the literature for scale individualization focus on minimizing the transitivity errors, i.e., consistency. In this research, we proposed a novel, easy-to-learn, easy-to-implement, and computationally less demanding scale individualization approach based on compatibility. We also developed an experimental setup and introduced two new metrics that can be used by researchers that contribute to the theory of AHP. To assess the value of scale individualization in general, and the performance of the proposed novel approach in particular, numerical and two empirical studies are conducted. The results of the analyses demonstrate that the scale individualization outperforms the conventional fixed scale approach and validates the benefit of the proposed novel heuristic.

show abstract

A Survey on Recent Optimization Strategies in Ambulance Dispatching and Relocation Problems

Khelfa

Khennak

2023

Communications in Computer and Information Science

View full text Add to dashboard Cite

An interactive decision support system for real-time ambulance relocation with priority guidelines

Cited by 12 publications

References 49 publications

Dynamic ambulance relocation: a scoping review

Dynamic ambulance relocation: a scoping review

A Basic Algorithm for Generating Individualized Numerical Scale (BAGINS)

A Survey on Recent Optimization Strategies in Ambulance Dispatching and Relocation Problems

Contact Info

Product

Resources

About