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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162242