Use of simulation to evaluate resource assignment policies in a multidisciplinary outpatient clinic

Bjorn Berg, Grant Longley, Jordan Dunitz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Advances in facility design and technology are leading to novel uses of healthcare delivery space including flexible and shared clinical space increasing collaboration and communication in multidisciplinary care settings. With new outpatient care delivery facilities and plans emerging, the need to evaluate how flexible and shared resources are assigned arises. We present a discrete-event simulation model based on the daily operations of an outpatient clinic where multiple specialties share resources including support staff, exam rooms, and ancillary providers. Being a new clinical space, the primary objective is to design resource assignment and staffing policies which maximize the use of the new facility. While resource utilization is the primary objective, the simulation model results and analysis incorporate other competing performance criteria including patient waiting, provider idleness, and clinic length of day. Results are presented based on a multidisciplinary clinic at the University of Minnesota.

Original languageEnglish (US)
Title of host publicationWSC 2018 - 2018 Winter Simulation Conference
Subtitle of host publicationSimulation for a Noble Cause
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages10
ISBN (Electronic)9781538665725
StatePublished - Jul 2 2018
Event2018 Winter Simulation Conference, WSC 2018 - Gothenburg, Sweden
Duration: Dec 9 2018Dec 12 2018

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Conference2018 Winter Simulation Conference, WSC 2018

Bibliographical note

Funding Information:
We would like to thank Megan Foley who works in the CSC and was essential in gathering the necessary historical data used to parameterize the simulation model.

Publisher Copyright:
© 2018 IEEE


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