Using Simulation to Evaluate Provider Scheduling Heuristics in Specialty Outpatient Clinics

Bjorn Berg, Ashleigh Vandenbrink

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

Abstract

Scheduling providers in outpatient specialty clinics is often done in a non-systematic fashion as a result of providers having varying clinic time assignments. This is particularly challenging in academic medical centers and large health systems where providers have responsibilities outside of clinical duties. This leads to inconsistent use of clinic space, staff, and other fixed resources in addition to high variability in operational performance measures. In this paper we present a discrete-event simulation model used to evaluate heuristics for scheduling providers within a specialty clinic. The simulation model is developed and validated based on a specialty clinic within University of Minnesota Health. The scheduling heuristics are evaluated across multiple operational performance measures based on relative improvements compared to test cases from actual schedules used in practice.

Original languageEnglish (US)
Title of host publication2019 Winter Simulation Conference, WSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1232-1242
Number of pages11
ISBN (Electronic)9781728132839
DOIs
StatePublished - Dec 2019
Event2019 Winter Simulation Conference, WSC 2019 - National Harbor, United States
Duration: Dec 8 2019Dec 11 2019

Publication series

NameProceedings - Winter Simulation Conference
Volume2019-December
ISSN (Print)0891-7736

Conference

Conference2019 Winter Simulation Conference, WSC 2019
Country/TerritoryUnited States
CityNational Harbor
Period12/8/1912/11/19

Bibliographical note

Funding Information:
We would like to thank Mr. Mike Choi and the staff at the University of Minnesota’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:
© 2019 IEEE.

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