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- W2782576918 abstract "Healthcare resources allocation is inherently difficult due to the prescriptive “what-if” nature of the question being asked. One kind of data driven method is building a statistical model for resource utilization and later leverage it for resource optimization. Another kind is agent based simulation, which is based on patient choice and service queue. In this paper, we applied both methods to an imaging device resource allocation problem with a public dataset from Parana, Brazil. Our results demonstrate that starting from diametric perspectives, the two approaches give consistent and interpretable results for finding the optimal allocation. Moreover, this can serve as the corroboration for the simulation model, which is notoriously difficult to validate." @default.
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- W2782576918 date "2017-12-01" @default.
- W2782576918 modified "2023-10-17" @default.
- W2782576918 title "Agent-based simulation and optimization of hospital utilization in a regional network" @default.
- W2782576918 doi "https://doi.org/10.1109/wsc.2017.8248190" @default.
- W2782576918 hasPublicationYear "2017" @default.
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