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Optimization-driven framework to understand health care network costs and resource allocation
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10729_2021_Article_9565.pdf
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881.46 KB
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Adobe PDF
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a78e0ac74c91f951c1f244d0fcfe3419
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
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DOI of Published Version
https://doi.org/10.1007/s10729-021-09565-1
