@inproceedings{ad029c24f6e24a208892ab9b7ac667bf,
title = "Simulation Modeling as a Decision Tool for Capacity Allocation in Breast Surgery",
abstract = "Increased surgeon workload can result in prolonged access times for patients and may lead to surgeon burnout. Management of access times through investments in care capacity and hiring of providers require an understanding of the patient access times resulting from a given level of care capacity under different patient demand scenarios. We explore the effectiveness of a simulation-based framework in providing workforce planning insights. Our framework involves modeling of patient demand by considering different groups of surgical procedures, a simulation model that allows calibration of certain parameters through the use of data, and consideration of different demand and capacity scenarios to provide an understanding of the range of patient access times that can be expected over the immediate future during the time horizon. Our results show that such a simulation-based framework can help ground workforce planning and capacity investment decisions on operational data, and help healthcare institutions manage such costs.",
author = "Derya Kilinc and Narges Shahraki and Degnim, {Amy C.} and Hoskin, {Tanya L.} and Horton, {Tiffany M.} and Sir, {Mustafa S.} and Pasupathy, {Kalyan S.} and Gel, {Esma S.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Winter Simulation Conference, WSC 2020 ; Conference date: 14-12-2020 Through 18-12-2020",
year = "2020",
month = dec,
day = "14",
doi = "10.1109/WSC48552.2020.9384013",
language = "English (US)",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "806--817",
editor = "K.-H. Bae and B. Feng and S. Kim and S. Lazarova-Molnar and Z. Zheng and T. Roeder and R. Thiesing",
booktitle = "Proceedings of the 2020 Winter Simulation Conference, WSC 2020",
}