Evaluating readmission rates and discharge planning by analyzing the length-of-stay of patients
Evaluating readmission rates and discharge planning by analyzing the length-of-stay of patients
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DOI：
10.1007/s10479-018-2957-1
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发表时间：
2018-06
影响因子：
4.8
通讯作者：
Wanlu Gu;Neng Fan;H. Liao
中科院分区：
文献类型：
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作者：
Wanlu Gu;Neng Fan;H. Liao
住院时间（LOS）是医疗保健中一个重要的质量指标，而相位型（PH）分布的使用为LOS建模提供了一种灵活的方法。在本文中，我们在医院收集的不同疾病的患者，包括头痛，活产婴儿，酗酒，急性上呼吸道感染，继发性白内障的患者流信息建模。根据Coxian PH分布拟合LOS数据的结果，可以将患者分为不同的组。通过分析每个群体，找出他们的共同特征，可以评估相应的再入院率和其他有用的信息。此外，对每种疾病的模式进行了比较分析。通过对群体与再入院关系的分析，得出结论：加强服务，避免资源浪费是重要的。此外，比较不同疾病的模式，可以做出更好的决定，以分配资源和改善保险政策。
The length-of-stay (LOS) is an important quality metric in health care, and the use of phase-type (PH) distribution provides a flexible method for modeling LOS. In this paper, we model the patient flow information collected in a hospital for patients of distinct diseases, including headache, liveborn infant, alcohol abuse, acute upper respiratory infection, and secondary cataract. Based on the results obtained from fitting Coxian PH distributions to the LOS data, the patients can be divided into different groups. By analyzing each group to find out their common characteristics, the corresponding readmission rate and other useful information can be evaluated. Furthermore, a comparison of patterns for each disease is analyzed. We conclude that it is important to offering better service and avoiding waste of sources, by the analysis of the relations between groups and readmission. In addition, comparing the patterns within distinct diseases, a better decision for assigning resources and improving the insurance policy can be made.