Session ID: 
77

Improving Hospital Capacity Management Through Monte-Carlo Simulation

2:30pm - 3:30pm Tuesday, March 6
Las Vegas - Venetian Convention Center
Palazzo D

Description

Capacity management is an issue for many hospitals around the world. Geisinger Health System has generated interventions to tackle the capacity management issue and to increase access, improve quality of care, and cut ED wait times, among other crucial metrics. To study the potential impact of these interventions on capacity prior to its implementation, a Monte Carlo-approached simulation model was used. The results showed that the three individual interventions that had the greatest positive impact on the bed demand were: redirecting patient transfers from another hospital system, decreasing the LOS for observation patients to 16 hours and redirecting pneumonia patients to another hospital. Two more scenarios, the top three performing interventions and all 11 interventions, were run. The results showed that successfully implementing all interventions was the best-case scenario and that the hospital would need additional measures to better serve the growing demand.

Learning Objectives: 

  • Define adult inpatient bed demand
  • Describe modeling techniques that simulate current and future interventions to calculate bed demand
  • Show how different interventions affect bed demand

Speaker(s): 

Intermediate Modeler, Operations Research,
Geisinger Health System
Manager, Healthcare Re-Engineering, Biomedical & Translational Informatics,
Geisinger Health System

Audience: 

Management Engineer and Process Improvement Prof.
CIO, CTO
C-Suite

Level: 

Intermediate

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