• DocumentCode
    1785318
  • Title

    Application of discrete-event simulation in acute care´s capacity analysis

  • Author

    Hongbiao Yang ; Sawhney, Radhike ; Abrha, Wolday

  • Author_Institution
    Ind. & Syst. Eng., Univ. of Tennessee Knoxville, Knoxville, TN, USA
  • fYear
    2014
  • fDate
    6-10 July 2014
  • Firstpage
    528
  • Lastpage
    535
  • Abstract
    Deploying nurses based on fixed shift could mitigate scarce availability during peak now of patients, but idle time should be resolved. This paper presents the analysis of nurses scheduling for minimal cost and reduced patient waiting time. An acute care unit of a local hospital is thecase study. The main sources to collect the data are historical data of patients´ medical records as well as staff activity reports of their daily duty. Arena simulation software is applied to identify an optimum nurse scheduling. A base case model is built and several scenarios with different schedules and resources are compared: the results of these scenarios such as total pay cost and the resource utilization implied an optimal solution. A three shift system that comprises of all registered nurses, reducing the number of chest pain outpatients´ rooms. and increasing the common rooms results optimal.
  • Keywords
    discrete event simulation; health care; hospitals; medical administrative data processing; resource allocation; scheduling; Arena simulation software; acute care capacity analysis; acute care unit; base case model; discrete-event simulation; local hospital; medical records; minimal cost; nurse scheduling analysis; optimum nurse scheduling; patient waiting time reduction; resource utilization; staff activity reports; three shift system; Analytical models; Floors; Hospitals; Job shop scheduling; Maintenance engineering; Schedules; Arena; analysis; hospital; scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Evaluation of Computer and Telecommunication Systems (SPECTS 2014), International Symposium on
  • Conference_Location
    Monterey, CA
  • Type

    conf

  • DOI
    10.1109/SPECTS.2014.6879989
  • Filename
    6879989