Literature DB >> 28796433

Understanding Emergency Care Delivery Through Computer Simulation Modeling.

Lauren F Laker1, Elham Torabi2, Daniel J France3, Craig M Froehle4,5, Eric J Goldlust6, Nathan R Hoot7, Parastu Kasaie8, Michael S Lyons5, Laura H Barg-Walkow9, Michael J Ward10, Robert L Wears11.   

Abstract

In 2017, Academic Emergency Medicine convened a consensus conference entitled, "Catalyzing System Change through Health Care Simulation: Systems, Competency, and Outcomes." This article, a product of the breakout session on "understanding complex interactions through systems modeling," explores the role that computer simulation modeling can and should play in research and development of emergency care delivery systems. This article discusses areas central to the use of computer simulation modeling in emergency care research. The four central approaches to computer simulation modeling are described (Monte Carlo simulation, system dynamics modeling, discrete-event simulation, and agent-based simulation), along with problems amenable to their use and relevant examples to emergency care. Also discussed is an introduction to available software modeling platforms and how to explore their use for research, along with a research agenda for computer simulation modeling. Through this article, our goal is to enhance adoption of computer simulation, a set of methods that hold great promise in addressing emergency care organization and design challenges.
© 2017 by the Society for Academic Emergency Medicine.

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Year:  2017        PMID: 28796433      PMCID: PMC5805575          DOI: 10.1111/acem.13272

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  78 in total

1.  Cost-minimization analysis of phenytoin and fosphenytoin in the emergency department.

Authors:  D R Touchette; D H Rhoney
Journal:  Pharmacotherapy       Date:  2000-08       Impact factor: 4.705

2.  Crisis in the emergency department.

Authors:  Arthur L Kellermann
Journal:  N Engl J Med       Date:  2006-09-28       Impact factor: 91.245

Review 3.  Improving service quality by understanding emergency department flow: a White Paper and position statement prepared for the American Academy of Emergency Medicine.

Authors:  Dave R Eitel; Scott E Rudkin; M Albert Malvehy; James P Killeen; Jesse M Pines
Journal:  J Emerg Med       Date:  2008-06-02       Impact factor: 1.484

4.  Comparison of emergency department crowding scores: a discrete-event simulation approach.

Authors:  Virginia Ahalt; Nilay Tanık Argon; Serhan Ziya; Jeff Strickler; Abhi Mehrotra
Journal:  Health Care Manag Sci       Date:  2016-10-04

5.  Dynamics of bed use in accommodating emergency admissions: stochastic simulation model.

Authors:  A Bagust; M Place; J W Posnett
Journal:  BMJ       Date:  1999-07-17

6.  Cost-effectiveness of using N-terminal pro-brain natriuretic peptide to guide the diagnostic assessment and management of dyspneic patients in the emergency department.

Authors:  Uwe Siebert; James L Januzzi; Molly T Beinfeld; Renee Cameron; G Scott Gazelle
Journal:  Am J Cardiol       Date:  2006-08-02       Impact factor: 2.778

7.  Cost-effectiveness of a motivational intervention for alcohol-involved youth in a hospital emergency department.

Authors:  Charles J Neighbors; Nancy P Barnett; Damaris J Rohsenow; Suzanne M Colby; Peter M Monti
Journal:  J Stud Alcohol Drugs       Date:  2010-05       Impact factor: 2.582

8.  Development of a simulation environment to study emergency department information technology.

Authors:  Priyadarshini R Pennathur; Dapeng Cao; Zheng Sui; Li Lin; Ann M Bisantz; Rollin J Fairbanks; Theresa K Guarrera; Jennifer L Brown; Shawna J Perry; Robert L Wears
Journal:  Simul Healthc       Date:  2010-04       Impact factor: 1.929

9.  Cost-utility analysis of emergency department thoracotomy for trauma victims.

Authors:  Todd B Brown; Marcus Romanello; Meredith Kilgore
Journal:  J Trauma       Date:  2007-05

Review 10.  Systematic review of emergency department crowding: causes, effects, and solutions.

Authors:  Nathan R Hoot; Dominik Aronsky
Journal:  Ann Emerg Med       Date:  2008-04-23       Impact factor: 5.721

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  1 in total

1.  Identifying the vulnerable regions of emergency medical services based on the three-stage of accessibility: a case study in Xi'an, China.

Authors:  Ning Xu; Jianjun Bai; Ran Yan
Journal:  Int J Equity Health       Date:  2022-04-22
  1 in total

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