公开(公告)号：US20170061093A1

公开(公告)日：2017-03-02

申请号：US14835698

申请日：2015-08-25

申请人： Rubendran AMARASINGHAM ,  Timothy S. SWANSON ,  Sambamurthy NALLA ,  Yu QIAN ,  George R. Oliver ,  Kimberly P. GERRA

发明人： Rubendran AMARASINGHAM ,  Timothy S. SWANSON ,  Sambamurthy NALLA ,  Yu QIAN ,  George R. Oliver ,  Kimberly P. GERRA

IPC分类号： G06F19/00

CPC分类号： G06F19/325 ,  G16H10/60 ,  G16H50/30

摘要： A dashboard user interface method includes displaying a navigable list of patients each associated with a target disease with a calculated risk level, displaying historic and current data associated with a selected patient in the patient list identified as being associated with the target disease, displaying an identification of key factors in the selected patient's health data that contribute to the risk level for the selected patient with respect to the target disease, receiving and displaying care management notes for transitional care intervention for the selected patient, and displaying automatically-generated intervention and treatment recommendations.

摘要翻译： 仪表板用户界面方法包括以计算的风险级别显示每个与目标疾病相关联的患者的可浏览列表，显示与被识别为与目标疾病相关联的患者列表中的所选患者相关联的历史和当前数据， 所选择的患者健康数据中的关键因素对所选择的患者有关靶病的风险水平，接受和显示针对所选患者的过渡性护理干预的护理管理说明，以及显示自动产生的干预和治疗建议 。

公开(公告)号：US20130262357A1

公开(公告)日：2013-10-03

申请号：US13613980

申请日：2012-09-13

申请人： Rubendran Amarasingham ,  Timothy S. Swanson ,  Christopher A. Clark ,  Yu Qian ,  Sambamurthy Nalla ,  George R. Oliver ,  Kimberly P. Gerra ,  Ying Ma

发明人： Rubendran Amarasingham ,  Timothy S. Swanson ,  Christopher A. Clark ,  Yu Qian ,  Sambamurthy Nalla ,  George R. Oliver ,  Kimberly P. Gerra ,  Ying Ma

IPC分类号： G06F19/00

CPC分类号： G06F19/345 ,  G06F19/00 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70

摘要： A clinical predictive and monitoring system comprising a data store operable to receive and store data associated with a plurality of patients selected from medical and health data; and a number of social, behavioral, lifestyle, and economic data; at least one predictive model to identify at least one high-risk patient associated with at least one medical condition; a risk logic module operable to apply the at least one predictive model to the patient data to determine at least one risk score associated the at least one medical condition and identify at least one high-risk patient; a data presentation module operable to present notification and information to an intervention coordination team about the identified at least one high-risk patient; and an artificial intelligence tuning module adapted to automatically adjust parameters in the predictive model in response to trends in the patient data.

摘要翻译： 一种临床预测和监测系统，包括可操作以接收和存储与从医疗和健康数据中选择的多个患者相关联的数据的数据存储器; 以及一些社会，行为，生活方式和经济数据; 至少一个预测模型以识别与至少一种医学状况相关联的至少一个高风险患者; 风险逻辑模块，其可操作以将所述至少一个预测模型应用于所述患者数据，以确定与所述至少一个医疗状况相关联的至少一个风险评分并识别至少一个高风险患者; 数据呈现模块，用于向干预协调小组呈现关于所识别的至少一个高风险患者的通知和信息; 以及人工智能调整模块，其适于响应于所述患者数据的趋势自动调整所述预测模型中的参数。

公开(公告)号：US09536052B2

公开(公告)日：2017-01-03

申请号：US13613980

申请日：2012-09-13

申请人： Rubendran Amarasingham ,  Timothy S. Swanson ,  Christopher A. Clark ,  Yu Qian ,  Sambamurthy Nalla ,  George R. Oliver ,  Kimberly P. Gerra ,  Ying Ma

发明人： Rubendran Amarasingham ,  Timothy S. Swanson ,  Christopher A. Clark ,  Yu Qian ,  Sambamurthy Nalla ,  George R. Oliver ,  Kimberly P. Gerra ,  Ying Ma

IPC分类号： G06F19/00

CPC分类号： G06F19/345 ,  G06F19/00 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70

摘要： A clinical predictive and monitoring system comprising a data store operable to receive and store data associated with a plurality of patients selected from medical and health data; and a number of social, behavioral, lifestyle, and economic data; at least one predictive model to identify at least one high-risk patient associated with at least one medical condition; a risk logic module operable to apply the at least one predictive model to the patient data to determine at least one risk score associated the at least one medical condition and identify at least one high-risk patient; a data presentation module operable to present notification and information to an intervention coordination team about the identified at least one high-risk patient; and an artificial intelligence tuning module adapted to automatically adjust parameters in the predictive model in response to trends in the patient data.

摘要翻译： 一种临床预测和监测系统，包括可操作以接收和存储与从医疗和健康数据中选择的多个患者相关联的数据的数据存储器; 以及一些社会，行为，生活方式和经济数据; 至少一个预测模型以识别与至少一种医学状况相关联的至少一个高风险患者; 风险逻辑模块，其可操作以将所述至少一个预测模型应用于所述患者数据，以确定与所述至少一个医疗状况相关联的至少一个风险评分并识别至少一个高风险患者; 数据呈现模块，用于向干预协调小组呈现关于所识别的至少一个高风险患者的通知和信息; 以及人工智能调整模块，其适于响应于所述患者数据的趋势自动调整所述预测模型中的参数。