Emergency Department Management in Lazio, Italy

Leo, Gianmaria; Lodi, Andrea; Tubertini, Paolo; Martino, Mirko Di

doi:10.1016/j.omega.2015.05.007

Cited by 28 publications

(10 citation statements)

References 33 publications

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“…The publications that solved the problem of hospital selection considered the following main objectives: To design a method for the optimal allocation of patients in ambulances to hospitals (12,(22)(23)(24)(25)(26)(27)(28); design a system or model for hospital selection decision-making (10,13,(28)(29)(30); determine the optimal route to the hospital (15,(31)(32)(33)(34)(35); evaluate or determine the effects of the implementation of mobile applications or information systems over the Internet, for hospital selection (36)(37)(38)(39); develop mobile applications or information systems through the Internet for communications, patient transport, and hospital selection (32,33,40,41).…”

Section: Main Objectives Of the Publicationsmentioning

confidence: 99%

“…Hospital selection. Policies for assigning patients transported by ambulance to the emergency rooms of the regional hospital network were defined (22,26). The impact of several hospital selection policies (closer, deviation, join the shorter queue and shorter transfer time) on response time were investigated and the PCC policy was proposed, which integrates three decision principles (Proximity, Congestion, and Centrality) (13).…”

Section: Main Objectives Of the Publicationsmentioning

confidence: 99%

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Hospital selection in emergency medical service systems: A literature review

Caicedo Rolón,

Rivera Cadavid

2021

RGYPS

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Emergency medical service (EMS) systems play a fundamental role in society by providing a vital service in initial emergency care. The purpose of this research is to present the first literature review of hospital selection operational decision within the context of the EMS system. The main findings were the following: The hospital selection problem is integrated with the location, dispatch, routing, and size of the ambulance fleet. The main selection criteria were closeness, hospital care capacities and the shortest queue or greatest number of free beds. The most used performance measures were the shortest transport and waiting time. Solution techniques include discrete event simulation, queuing models, mixed linear integer programming, and CPLEX and Arena software. The application of metaheuristics is scarce; mobile applications and Internet information systems have been implemented for real-time decision making. It is recommended that the design of hospital selection methods be implemented as well as the technological developments, considering the participation of the actors of the EMS system.

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Section: Main Objectives Of the Publicationsmentioning

confidence: 99%

Section: Main Objectives Of the Publicationsmentioning

confidence: 99%

Hospital selection in emergency medical service systems: A literature review

Caicedo Rolón,

Rivera Cadavid

2021

RGYPS

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“…Similar objectives were pursued by Bordoloi and Beach [151] who, unlike the previous work, used optimization models encompassing the entire patient journey within the ED. Single OR-based approaches are also extensively used in Ajmi et al [83], Derni et al [87], Leo et al [153], Meng et al [152], Nezamoddini and Khasawneh [154], and Oueida et al [96]. Other non-hybrid methods that have been employed for tackling this ED deficiency are as follows: REACT [91], pivot nursing [92], process redesign [94,156], regression [157,158], nurse navigator [160], Iowa model of evidence-based practice [161], CQI [81,155], and ED dashboard/reporting [98].…”

Section: Papers Focusing On Reducing the Waiting Timementioning

confidence: 99%

Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review

Ortíz‐Barrios

Alfaro-Saiz

2020

IJERPH

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The most commonly used techniques for addressing each Emergency Department (ED) problem (overcrowding, prolonged waiting time, extended length of stay, excessive patient flow time, and high left-without-being-seen (LWBS) rates) were specified to provide healthcare managers and researchers with a useful framework for effectively solving these operational deficiencies. Finally, we identified the existing research tendencies and highlighted opportunities for future work. We implemented the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to undertake a review including scholarly articles published between April 1993 and October 2019. The selected papers were categorized considering the leading ED problems and publication year. Two hundred and three (203) papers distributed in 120 journals were found to meet the inclusion criteria. Furthermore, computer simulation and lean manufacturing were concluded to be the most prominent approaches for addressing the leading operational problems in EDs. In future interventions, ED administrators and researchers are widely advised to combine Operations Research (OR) methods, quality-based techniques, and data-driven approaches for upgrading the performance of EDs. On a different tack, more interventions are required for tackling overcrowding and high left-without-being-seen rates.

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“…The most common of these problems balance maximizing some measure of capability with minimizing cost [16,17,18,19,20,21]. Other notable bi-objective approaches include balancing coverage with distance [22,23], coverage with equity [24,25], or coverage efficiency with coverage equity [26]. For a thorough review of multiobjective facility location problems, we refer the reader to a robust survey conducted by Farahani et al [27] that applies taxonomies for both the number and types of objectives considered within the respective works, a notable subset of which address EMS location problems.…”

Section: Common Covering Models Include the Location Set Covering Promentioning

confidence: 99%

A multiobjective, maximal conditional covering location problem applied to the relocation of hierarchical emergency response facilities

Paul

Lunday

Nurre

2017

Omega

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In this research we analyze the effectiveness of the current and optimal locations of a set of existing regional assets maintained by the Department of Defense to respond to large-scale emergencies. These assets have been incrementally resourced, established, sited over the past 20 years without regard to the entire enterprise and, due to fiscal and political costs, modifications to the current structure must yield significant gains to garner approval. We formulate a multiobjective hierarchical extension of the maximal covering location problem that seeks to maximize coverage of the population within a rapid response window while minimizing modifications to the existing structure. Additionally, we prevent facilities from covering nodes located within close proximity using a modified conditional covering problem (CCP) constraint; this constraint accounts for the large impact radius that can occur in a worst-case scenario. To solve our multiobjective problem, we develop a set of non-inferior solutions using the ε-constraint method. These non-inferior solutions explicitly represent the trade-off between maximizing coverage and minimizing cost, and they offer a decision maker a set of Pareto optimal decisions to consider for implementation.

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Emergency Department Management in Lazio, Italy

Cited by 28 publications

References 33 publications

Hospital selection in emergency medical service systems: A literature review

Hospital selection in emergency medical service systems: A literature review

Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review

A multiobjective, maximal conditional covering location problem applied to the relocation of hierarchical emergency response facilities

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