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    SYSTEM AND METHOD TO MANAGE DELIVERY HEALTHCARE TO A PATIENT
    4.
    发明申请
    SYSTEM AND METHOD TO MANAGE DELIVERY HEALTHCARE TO A PATIENT 审中-公开
    用于将患者交付健康的系统和方法

    公开(公告)号：US20140303996A1

    公开(公告)日：2014-10-09

    申请号：US14310887

    申请日：2014-06-20

    Applicant: General Electric Company

    Inventor： Christopher Johnson ,  Kunter Akbay ,  Andrew Day ,  GianFranco Doretto ,  Peter Tu ,  Onur Dulgeroglu ,  Marcia Peterson ,  David Toledano

    IPC: G06F19/00

    CPC classification number: G06F19/34 ,  G06Q10/06 ,  G06Q10/1095 ,  G06Q50/22 ,  G16H40/20

    Abstract: A system and method to manage delivery of healthcare via a plurality of resources to a patient is provided. The system and method track and output a signal representative of a location of at least one of a series of resources relative to a control volume associated with the patient, acquire at least one signal representative of detecting ingress or egress of at least one of the plurality of resources relative to the control volume; and output a first signal representative of one of a series of milestones as defined in a predetermined protocol in response to detecting ingress or egress of at least one of the resources relative to the control volume.

    Abstract translation: 提供了一种通过多个资源向患者传送医疗保健的系统和方法。 所述系统和方法跟踪和输出表示相对于与患者相关联的控制体积的一系列资源中的至少一个的位置的信号，获取表示检测多个中的至少一个的入口或出口的至少一个信号 的资源相对于控制量; 并且响应于检测到所述资源中的至少一个相对于所述控制量的入口或出口，输出代表预定协议中定义的一系列里程碑之一的第一信号。

    System-wide probabilistic alerting and activation
    5.
    发明授权
    System-wide probabilistic alerting and activation 有权

    公开(公告)号：US11080367B2

    公开(公告)日：2021-08-03

    申请号：US16148584

    申请日：2018-10-01

    Applicant: General Electric Company

    Inventor： Andrew Day ,  Christopher Johnson

    IPC: G16H40/20 ,  G06F19/00

    Abstract: Systems, methods, and computer program products that enable system-wide probabilistic forecasting, alerting, optimizing and activating resources in the delivery of care to address both immediate (near real-time) conditions as well as probabilistic forecasted operational states of the system over an interval that is selectable from the current time to minutes, hours and coming days or weeks ahead are provided. There are multiple probabilistic future states that are implemented in these different time intervals and these may be implemented concurrently for an instant in time control, near term, and long term. Those forecasts along with their optimized control of hospital capacity may be independently calculated and optimized, such as for a dynamic workflow direction over the next hour and also a patient's stay over a period of days. In the present application, a probabilistic and conditional workflow reasoning system enabling complex team-based decisions that improve capacity, satisfaction, and safety is provided. A means to consume user(s) judgment, implement control on specific resource assignments and tasks in a clinical workflow is enabled, as is the dynamical and optimal control of the other care delivery assets being managed by the system so as to more probably achieve operating criteria such as throughput, waiting and schedule risk.

    System-wide probabilistic alerting and activation
    8.
    发明授权
    System-wide probabilistic alerting and activation 有权

    公开(公告)号：US10089441B2

    公开(公告)日：2018-10-02

    申请号：US14746385

    申请日：2015-06-22

    Applicant: General Electric Company

    Inventor： Andrew Day ,  Christopher Johnson

    IPC: G16H40/20 ,  G06F19/00

    Abstract: Systems, methods, and computer program products that enable system-wide probabilistic forecasting, alerting, optimizing and activating resources in the delivery of care to address both immediate (near real-time) conditions as well as probabilistic forecasted operational states of the system over an interval that is selectable from the current time to minutes, hours and coming days or weeks ahead are provided. There are multiple probabilistic future states that are implemented in these different time intervals and these may be implemented concurrently for an instant in time control, near term, and long term. Those forecasts along with their optimized control of hospital capacity may be independently calculated and optimized, such as for a dynamic workflow direction over the next hour and also a patient's stay over a period of days. In the present application, a probabilistic and conditional workflow reasoning system enabling complex team-based decisions that improve capacity, satisfaction, and safety is provided. A means to consume user(s) judgment, implement control on specific resource assignments and tasks in a clinical workflow is enabled, as is the dynamical and optimal control of the other care delivery assets being managed by the system so as to more probably achieve operating criteria such as throughput, waiting and schedule risk.

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