Title
A Markov Decision Process model for elective inpatient admission with delay announcement
Abstract
This paper investigates the improvement of the hospitalization admission process of elective inpatients by offering delay announcement to free patients from blind and long wait. We propose a Markov Decision Process (MDP) model for optimization of delay announcement strategies by taking into account patients' behavior with respect to waiting for hospitalization. Numerical experiments are conducted to study the hospital dominant case in which the delay announcement only tries to maximize the revenue of the hospital. Properties of the optimal delay announcement strategies were observed and conjectured.
Year
DOI
Venue
2014
10.1109/CoASE.2014.6899380
CASE
Keywords
Field
DocType
optimisation,hospitals,behavioural sciences,markov decision process model,elective inpatient hospitalization admission process,hospital revenue maximization,financial management,patients behavior,delay announcement strategy optimization,mdp model,markov processes,computer aided software engineering,optimal control
Revenue,Actuarial science,Optimal control,Markov process,Numerical models,Computer science,Markov decision process,Operations research,Computer-aided software engineering
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Yuwei Lu192.25
Xiaolan Xie21165113.61
Z. B. Jiang324236.08