• DocumentCode
    724117
  • Title

    The fairness of patient routing allocation policy with heterogeneous servers in outpatient department

  • Author

    Dan Chen ; Huabo Zhu ; Xinggang Luo

  • Author_Institution
    State Key Lab. of Synthetical Autom. for Process Ind., Northeastern Univ., Shenyang, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    1965
  • Lastpage
    1969
  • Abstract
    The diagnosis-stage is always the bottleneck stage for the large number of patients arriving in Outpatient Department (OD) in Chinese hospital. The fairness of patient routing allocation in diagnosis-stage is focused on. An Inverted-V model with single patient queue and several heterogeneous server pools is established which to describe patients routing allocation process. Around the goal of routing allocation fairness for severs, Randomized Most-Idle (RMI) routing policy is introduced. The Inverted-V model under RMI is analyzed by the reversible Markov Birth and Death (B&D) process. The performance indicators of the system are obtained. At last the routing policy fairness is discussed by numerically experimental results.
  • Keywords
    hospitals; patient diagnosis; Chinese hospital; OD; RMI routing policy; diagnosis stage; heterogeneous servers; inverted-V model; outpatient department; patient routing allocation policy; randomized most-idle routing policy; routing allocation fairness; Hospitals; Numerical models; Queueing analysis; Resource management; Routing; Servers; Inverted-V model; fairness; heterogeneous; routing allocation policy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162242
  • Filename
    7162242