Using Simulation to Evaluate Operational Trade-Offs Associated with the use of Care Teams in Specialty Care Settings

Krupali Patel, Bjorn Berg, Vahab Vahdat

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

1 Scopus citations


New approaches for designing delivery of care in specialty outpatient clinics are emerging as a result of the use of care-teams and shared resources. However, questions remain surrounding how shared resources, e.g., exam rooms or support staff, should be allocated to balance the competing performance objectives in specialty care settings. We develop a discrete-event simulation model to evaluate resource allocation policies in an outpatient specialty clinic. Different resource allocation policies, ranging from fully dedicated to partially flexible to fully flexible for multiple resource types, are evaluated based on multiple performance measures. We find that a proposed policy based on strategic capping of flexibility achieves desired access to resources from a provider's perspective while also maintaining high utilization rates.

Original languageEnglish (US)
Title of host publicationProceedings of the 2020 Winter Simulation Conference, WSC 2020
EditorsK.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, R. Thiesing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages11
ISBN (Electronic)9781728194998
StatePublished - Dec 14 2020
Event2020 Winter Simulation Conference, WSC 2020 - Orlando, United States
Duration: Dec 14 2020Dec 18 2020

Publication series

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


Conference2020 Winter Simulation Conference, WSC 2020
Country/TerritoryUnited States

Bibliographical note

Funding Information:
We would like to thank Mr. Mike Chi andothe staff at the M Health Fairview’s Clinics and Surgery Center for their support and feedback related to this work. This research was supported in part by a Grant-in-Aid from the Office of the Vice President for Research at the University of Minnesota.

Publisher Copyright:
© 2020 IEEE.


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