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Optimization-driven framework to understand health care network costs and resource allocation

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Author(s)
Bravo, Fernanda
•
Braun, Marcus
•
Farias, Vivek
•
Levi, Retsef
•
Lynch, Christine
•
Tumolo, John
•
Whyte, Richard
Date Issued
May 3, 2021
Publisher
Springer US
Citation
Bravo, Fernanda, Braun, Marcus, Farias, Vivek, Levi, Retsef, Lynch, Christine et al. 2021. "Optimization-driven framework to understand health care network costs and resource allocation."
Version
Final published version
Abstract
Abstract In the last several decades, the U.S. Health care industry has undergone a massive consolidation process that has resulted in the formation of large delivery networks. However, the integration of these networks into a unified operational system faces several challenges. Strategic problems, such as ensuring access, allocating resources and capacity efficiently, and defining case-mix in a multi-site network, require the correct modeling of network costs, network trade-offs, and operational constraints. Unfortunately, traditional practices related to cost accounting, specifically the allocation of overhead and labor cost to activities as a way to account for the consumption of resources, are not suitable for addressing these challenges; they confound resource allocation and network building capacity decisions. We develop a general methodological optimization-driven framework based on linear programming that allows us to better understand network costs and provide strategic solutions to the aforementioned problems. We work in collaboration with a network of hospitals to demonstrate our framework applicability and important insights derived from it.
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Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/133156
DOI of Published Version
https://doi.org/10.1007/s10729-021-09565-1
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