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Incentive-based optimal intervention policy to reduce hospital readmissions for COPD patients

机译:基于激励的最佳干预政策,可减少COPD患者的住院率

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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.
机译:本文介绍了一种优化模型,以支持决策的选择,以选择适当的基于激励的干预措施,以减少慢性阻塞性肺疾病(COPD)患者的再入院率。这样的模型可以用来确定最佳的激励政策,以鼓励患者采取适当的干预措施,以便在激励预算约束下将再次入院的风险降到最低。在各种预算方案下得出封闭公式,并讨论管理见识以指导干预措施的实施。这项工作的结果提供了一种定量工具,以支持医院对干预活动的计划。

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