• DocumentCode
    3271900
  • Title

    An application of discrete-event simulation to an outpatient healthcare clinic with batch arrivals

  • Author

    Findlay, Michael ; Grant, Hank

  • Author_Institution
    Univ. of Oklahoma, Norman, OK, USA
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    1166
  • Lastpage
    1177
  • Abstract
    An application of discrete-event simulation is performed on an unique outpatient primary care clinic serving a military population at Fort Sill, OK. Access to the clinic is on an exclusively walk-in basis. Arrivals occur primarily in batches; arrival times and batch sizes are stochastic in nature. The nursing and medical staffs available each day also follow a stochastic process. The arrival process is characterized through discrete distributions. Several alternatives are modeled to examine procedural changes that may result in improved patient flow and provider utilization. A hybrid appointment/walk-in model was determined to have the best promise for improvement, but the possible benefits it may yield do not seem to justify the costs of its implementation in this setting. Possible applications of the hybrid model to other facilities such as urgent care facilities are discussed.
  • Keywords
    discrete event simulation; health care; patient care; personnel; statistical distributions; stochastic processes; Fort Sill; Oklahoma; USA; batch arrival; discrete distribution; discrete-event simulation; hybrid appointment/walk-in model; medical staff; military population; nursing staff; outpatient healthcare clinic; outpatient primary care clinic; patient flow; provider utilization; stochastic arrival time; stochastic batch size; stochastic process; urgent care facility; walk-in clinic access basis; Biomedical imaging; Correlation; Data models; Jacobian matrices; Training; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2011 Winter
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4577-2108-3
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2011.6147839
  • Filename
    6147839