Your browser doesn't support javascript.
loading
Understanding Emergency Care Delivery Through Computer Simulation Modeling.
Laker, Lauren F; Torabi, Elham; France, Daniel J; Froehle, Craig M; Goldlust, Eric J; Hoot, Nathan R; Kasaie, Parastu; Lyons, Michael S; Barg-Walkow, Laura H; Ward, Michael J; Wears, Robert L.
Affiliation
  • Laker LF; Williams College of Business, Xavier University, Cincinnati, OH.
  • Torabi E; College of Business, James Madison University, Harrisonburg, VA.
  • France DJ; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN.
  • Froehle CM; Lindner College of Business, University of Cincinnati, Cincinnati, OH.
  • Goldlust EJ; Department of Emergency Medicine, University of Cincinnati, Cincinnati, OH.
  • Hoot NR; Department of Emergency Medicine, Kaiser Permanente, Providence, RI.
  • Kasaie P; Department of Emergency Medicine, The University of Texas, Houston, TX.
  • Lyons MS; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
  • Barg-Walkow LH; Department of Emergency Medicine, University of Cincinnati, Cincinnati, OH.
  • Ward MJ; Department of Psychology, Georgia Institute of Technology, Atlanta, GA.
  • Wears RL; Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN.
Acad Emerg Med ; 25(2): 116-127, 2018 02.
Article in En | MEDLINE | ID: mdl-28796433
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Consensus / Emergency Medical Services Type of study: Guideline / Health_economic_evaluation / Prognostic_studies Limits: Humans Language: En Journal: Acad Emerg Med Journal subject: MEDICINA DE EMERGENCIA Year: 2018 Document type: Article Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Consensus / Emergency Medical Services Type of study: Guideline / Health_economic_evaluation / Prognostic_studies Limits: Humans Language: En Journal: Acad Emerg Med Journal subject: MEDICINA DE EMERGENCIA Year: 2018 Document type: Article Country of publication: Estados Unidos