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Optimizing Surgical Capacity for a Rural Hospital Through Monte Carlo Simulation

Ozer, Rachel; Richards, Gregory

The Journal for Healthcare Quality (JHQ): June 25, 2015 - Volume Publish Ahead of Print - Issue - p
doi: 10.1097/01.JHQ.0000462686.55382.3d
Original Article: PDF Only

Abstract: This article describes the application of Monte Carlo simulation to evaluate operating room (OR) utilization at a small rural hospital in the province of Ontario, Canada. Using input factors that include the duration of procedures, the number of days of operation, and the shift duration, the simulation identifies ways of improving the capacity of the hospital's OR. The analysis was used to implement changes that led to a 38% increase in the number of procedures completed. The hospital also has created capacity for further growth and is adding both new service types and additional revenue-generating contract services. Moreover, based on the success of the analytic model, hospital staff have continued collecting real-time data on OR utilization to enable additional analysis. The findings suggest that rural hospitals can indeed apply currently available data to improve process flow. Furthermore, the lack of analytic resources inside the hospital should not be a barrier because it is possible to create partnerships with educational institutions.

For more information on this article, contact Greg Richards at

Supported by the IBM Centre for Business Analytics and Performance.

The authors declare no conflict of interest.

© 2019 National Association for Healthcare Quality
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