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Data-driven simulation for healthcare facility utilization modeling and evaluation

Published: 03 December 2017 Publication History

Abstract

Utilization evaluation for healthcare facilities such as hospitals and nursing homes is crucial for providing high quality healthcare services in various communities. In this paper, a data-driven simulation framework integrating statistical modeling and agent-based simulation (ABS) is proposed to evaluate the utilization of various healthcare facilities. A Bayesian modeling approach is proposed to model the relationship between heterogeneous individuals' characteristics and time to readmission in the hospital and nursing home. An ABS model is developed to model the dynamically changing health conditions of individuals and readmission/discharge events. The individuals are modeled as agents in the ABS model, and their time to readmission and length of stay are driven by the developed Bayesian individualized models. An application based on Florida's Medicare and Medicaid claims data demonstrates that the proposed framework can effectively evaluate the healthcare facility utilization under various scenarios.

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      cover image ACM Conferences
      WSC '17: Proceedings of the 2017 Winter Simulation Conference
      December 2017
      4389 pages
      ISBN:9781538634271

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      IEEE Press

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      Published: 03 December 2017

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      WSC '17
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      WSC '17: Winter Simulation Conference
      December 3 - 6, 2017
      Nevada, Las Vegas

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