• DocumentCode
    3031744
  • Title

    Minimizing flow-time and time-to-first-treatment in an Emergency Department through simulation

  • Author

    Chonde, Seifu ; Parra, Carlos ; Chia-Jung Chang

  • Author_Institution
    Harold & Inge Marcus Dept. of Ind. & Syst. Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    2374
  • Lastpage
    2385
  • Abstract
    Emergency Department management is a resource constrained environment that has gained attention in recent years. An in-depth literature review was conducted and two patient flow models, Virtual Streaming (VS) and Physician Directed Queuing (PDQ), were selected to be contrasted against a FIFO-baseline model using discrete event simulation. Scenarios were constructed by assigning doctors to 4-hour shifts. Model performance was ranked by finding the minimum aggregated time to first treatment (TTFT) of admitted patients and the length of stay (LOS) of discharged patients. The benefits from PDQ were seen largely by Emergency Severity Index (ESI) 4 and 5 patients and the benefits from VS were seen largely by ESI 2 and 3 patients. Results suggest VS for the patient mix used herein when the system is near capacity and the baseline when the system is not near capacity. However, trade-offs and improvements of these models are discussed.
  • Keywords
    discrete event simulation; health care; hospitals; queueing theory; ESI; FIFO-baseline model; LOS; PDQ model; VS model; aggregated time-to-first treatment; discrete event simulation; emergency department management; emergency severity index; first-in first-out model; flow-time minimization; length-of-stay; minimum TTFT; patient flow models; physician directed queuing model; resource constrained environment; time-to-first-treatment; virtual streaming model; Discharges (electric); Hospitals; Indexes; Modeling; Partial discharges; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2013 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4799-2077-8
  • Type

    conf

  • DOI
    10.1109/WSC.2013.6721612
  • Filename
    6721612