DATA-DRIVEN SIMULATION FOR HEALTHCARE FACILITY UTILIZATION MODELING AND EVALUATION

被引:0
|
作者
Sun, Xuxue [1 ]
Li, Mingyang [1 ]
Meng, Chao [2 ]
Kong, Nan [3 ]
Meng, Hongdao [4 ]
Hyer, Kathryn [4 ]
机构
[1] Univ S Florida, Dept Ind & Management Syst Engn, 4202 E Fowler Ave, Tampa, FL 33620 USA
[2] Valdosta State Univ, Dept Mkt & Int Business, 1500 N Patterson St, Valdosta, GA 31698 USA
[3] Purdue Univ, Dept Biomed Engn, 206 S Martin Jischke Dr, W Lafayette, IN 47907 USA
[4] Univ S Florida, Sch Aging Studies, 13201 Bruce B Downs Blvd, Tampa, FL 33612 USA
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D O I
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中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:2869 / 2880
页数:12
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