Discrete-Event Simulation Modeling of Critical Care Flow: New Hospital, Old Challenges.

ABSTRACT:

Objectives

As the demand for critical care beds rises each year, hospitals must be able to adapt. Delayed transfer of care reduces available critical care capacity and increases occupancy. The use of mathematic modeling within healthcare systems has the ability to aid planning of resources. Discrete-event simulation models can determine the optimal number of critical care beds required and simulate different what-if scenarios.

Design

Complex discrete-event simulation model was developed using a warm-up period of 30 days and ran for 30 trials against a 2-year period with the mean calculated for the runs. A variety of different scenarios were investigated to determine the effects of increasing capacity, increasing demand, and reduction of proportion and length of delayed trans

SUBMITTER: Williams E 

PROVIDER: S-EPMC7491890 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature