Case Study: Answering Complex Questions with Discrete Event Simulation

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CLIENT: Inspira Health Network

CASE STUDY

VINELAND, NJ

Averages are not enough to answer complex questions that involve interacting variables. Traditionally, architects rely on average utilization benchmarks to determine appropriate department sizes when planning a new facility. While these averages might adequately predict space for the design of an office building or parking lot, they sometimes fall short of accurately determining the space needed for healthcare facilities.

SERVICE: Transformation

EXECUTIVE SUMMARY

METHOD: Throughput Analysis

Inspira Health Network experienced significant emergency department (ED) holds due to a lack of inpatient capacity. Analysis of patient arrival and unit assignment data led the team to believe that treating observation patients in inpatient units is causing

Challenge

the capacity problem. A discrete event simulation (DES) model helped determine the

Growth in the emergency department caused the hospital to use inpatient, transitional care beds for observation patients, leading to a reduction in available inpatient capacity and high utilization of other inpatient units.

inpatient pressures.

appropriate size of an observation unit needed to reduce ED holds and relieve current

Solution Array developed a simulation model to quantify the impact of making the transitional care beds available for inpatient use again and adding an observation unit. The model helped the staff see how adding different quantities of observation beds would alter the utilization of different bed types.

PROJECT HIGHLIGHTS

24

INPATIENT BEDS AVAILABLE

70%

TARGET OBSERVATION UTILIZATION

30

OBSERVATION BEDS INCREASE CAPACITY


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Case Study: Answering Complex Questions with Discrete Event Simulation by Array Advisors - Issuu