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 language||English (US)|
|Title of host publication||Proceedings of the 2020 Winter Simulation Conference, WSC 2020|
|Editors||K.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, R. Thiesing|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||11|
|State||Published - Dec 14 2020|
|Event||2020 Winter Simulation Conference, WSC 2020 - Orlando, United States|
Duration: Dec 14 2020 → Dec 18 2020
|Name||Proceedings - Winter Simulation Conference|
|Conference||2020 Winter Simulation Conference, WSC 2020|
|Period||12/14/20 → 12/18/20|
Bibliographical noteFunding 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.
© 2020 IEEE.