公开(公告)号：US20160358282A1

公开(公告)日：2016-12-08

申请号：US13036528

申请日：2011-02-28

申请人： Vipin Gopal ,  Guoxin Tang ,  Hamed Zahedi ,  Yan Zhang

发明人： Vipin Gopal ,  Guoxin Tang ,  Hamed Zahedi ,  Yan Zhang

IPC分类号： G06Q50/00

CPC分类号： G06Q50/22

摘要： A computerized system and method comprises a predictive model for estimating the probability of a patient hospital readmission. The computerized system and method is useful for identifying patients at risk of hospital readmission and further identifying an intervention to mitigate the risk and reduce the likelihood that the patient returns to the hospital. The computerized system method collects and analyzes historical health data from administrative claims data and current health data collected in real-time from medical records at the point of treatment. Signals indicating readmission are extracted from the health data that is collected. The signals are evaluated by the model software application to estimate a probability that a patient will be readmitted to the hospital. Patients with a high readmissions probability score are selected for clinical programs and interventions that help them manage their health conditions and problems and reduce the likelihood that they return to the hospital.

摘要翻译： 计算机化系统和方法包括用于估计患者医院再次入院的概率的预测模型。 计算机化系统和方法可用于识别患有医院重新入院危险的患者，并进一步确定干预措施以减轻风险并降低病人返回医院的可能性。 计算机化系统方法从处理点的医疗记录中实时收集行政索赔数据和当前健康数据收集和分析历史卫生数据。 从收集的健康数据中提取指示再次入院的信号。 信号由模型软件应用程序进行评估，以估计患者将被重新进入医院的概率。 选择具有高再入院概率得分的患者进行临床计划和干预措施，帮助他们管理其健康状况和问题，并减少他们返回医院的可能性。