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 language||English (US)|
|Title of host publication||2019 Winter Simulation Conference, WSC 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||11|
|State||Published - Dec 2019|
|Event||2019 Winter Simulation Conference, WSC 2019 - National Harbor, United States|
Duration: Dec 8 2019 → Dec 11 2019
|Name||Proceedings - Winter Simulation Conference|
|Conference||2019 Winter Simulation Conference, WSC 2019|
|Period||12/8/19 → 12/11/19|
Bibliographical noteFunding 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.
© 2019 IEEE.
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