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Modeling and analysis of postoperative intervention process for total joint replacement patients using simulations

机译:用模拟术后联合置换患者术后干预过程的建模与分析

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This paper studies the post-surgery care process for total joint replacement (TJR) patients. First, factors affecting readmission risks are identified and a multivariate logistic regression model is introduced to predict a patient's readmission probability from the patient profile. Based on readmission risk and patient eligibility, different intervention processes can be carried out. Specifically, three intervention options are considered: nursing home, home care service, and self-care. A discrete-event simulation model is introduced to illustrate how intervention process moves along the 90 day post discharge phase. Finally, the models are used to identify the best intervention strategy to reduce overall readmission rate with minimal cost.
机译:本文研究了术后关节替代(TJR)患者的手术后护理过程。首先,鉴定了影响入院风险的因素,并引入多变量逻辑回归模型以预测患者从患者谱系的入读概率。根据入院风险和患者资格,可以进行不同的干预过程。具体而言,考虑了三种干预选择:养老院,家庭护理服务和自我保健。引入了离散事件仿真模型,以说明干预过程如何沿90天后排出阶段移动。最后,模型用于识别最佳干预策略,以降低总体入院率,成本最低。

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