Incentive-based Optimal Intervention Policy to Reduce Hospital Readmissions for COPD Patients

被引:0
|
作者
Lee, Sujee [1 ]
Zhong, Xiang [2 ]
Lee, Hyo Kyung [1 ]
Zhao, Cong [1 ]
Bain, Philip A. [3 ]
Kundinger, Tammy [4 ]
Sommers, Craig [4 ]
Baker, Christine [4 ]
Li, Jingshan [1 ]
机构
[1] Univ Wisconsin, Dept Ind & Syst Engn, 1513 Univ Ave, Madison, WI 53706 USA
[2] Univ Florida, Dept Ind & Syst Engn, Gainesville, FL 32611 USA
[3] Dean Hlth Syst, 1821 Stoughton Rd, Madison, WI 53716 USA
[4] St Marys Hosp, 700 S Pk St, Madison, WI 53715 USA
来源
2017 13TH IEEE CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) | 2017年
关键词
Chronic obstructive pulmonary disease (COPD); readmission; intervention; incentive; optimal policy; OBSTRUCTIVE PULMONARY-DISEASE; HEALTH-CARE; UNITED-STATES; RISK-FACTORS; BURDEN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduces an optimization model to support decision making for selection of appropriate incentive-based interventions to reduce readmissions of patients with chronic obstructive pulmonary disease (COPD). Such a model can be used to identify the optimal incentive policies to encourage patients taking appropriate interventions so that the readmission risk can be minimized under an incentive budget constraint. Closed formulas are derived under various budget scenarios and managerial insights are discussed to guide intervention implementation. The results of this work provide a quantitative tool to support hospitals planning of intervention activities.
引用
收藏
页码:562 / 567
页数:6
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