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J Am Coll Radiol. 2016 Apr;13(4):417-23. doi: 10.1016/j.jacr.2015.11.028. Epub 2016 Feb 24.

Quality Improvement With Discrete Event Simulation: A Primer for Radiologists.

Author information

1
Department of Radiology, University of California San Diego, San Diego, California. Electronic address: booker.michael@gmail.com.
2
Department of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, California.
3
Department of Radiology, Keck School of Medicine of the University of Southern California, Los Angeles, California.

Abstract

The application of simulation software in health care has transformed quality and process improvement. Specifically, software based on discrete-event simulation (DES) has shown the ability to improve radiology workflows and systems. Nevertheless, despite the successful application of DES in the medical literature, the power and value of simulation remains underutilized. For this reason, the basics of DES modeling are introduced, with specific attention to medical imaging. In an effort to provide readers with the tools necessary to begin their own DES analyses, the practical steps of choosing a software package and building a basic radiology model are discussed. In addition, three radiology system examples are presented, with accompanying DES models that assist in analysis and decision making. Through these simulations, we provide readers with an understanding of the theory, requirements, and benefits of implementing DES in their own radiology practices.

KEYWORDS:

Quality improvement; discrete event simulation; process improvement; workflow simulation software

PMID:
26922594
DOI:
10.1016/j.jacr.2015.11.028
[Indexed for MEDLINE]

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