公开(公告)号：US20170308823A1

公开(公告)日：2017-10-26

申请号：US15637677

申请日：2017-06-29

Applicant: General Electric Company

Inventor： Srinivas Bollapragada ,  Christopher Donald Johnson ,  Bex Thomas ,  Dianne Chace

IPC: G06Q10/04 ,  G06Q10/06

CPC classification number: G06Q10/043 ,  G06Q10/0631

Abstract: Systems and methods for multi-resource scheduling are disclosed and described. An example apparatus includes a scheduler engine configured to enable clinical system(s) to operate with the scheduler engine in an analytical mode and an operating mode. When in the analytical mode, the scheduler engine is to dynamically calculate one or more binding constraints on the one or more clinical systems for scheduling. When in the operating mode, the scheduler engine is to manage and output a schedule for the one or more clinical systems based on the one or more binding constraints calculated in the analytical mode. The example scheduler engine is to dynamically switch between the analytical mode and the operating mode based at least in part on a probabilistic determination of delay associated with the schedule.

公开(公告)号：US20170193168A1

公开(公告)日：2017-07-06

申请号：US14984766

申请日：2015-12-30

Applicant: General Electric Company

Inventor： Nichole Lea Wood ,  Lynn Ann DeRose ,  Kunter Seref Akbay ,  Christopher Donald Johnson ,  Reginald Donovan Smith ,  Dolores Baksh

IPC: G06F19/00 ,  A61K35/17 ,  G01N33/15 ,  G06F17/30 ,  G01N15/10

Abstract: The present disclosure relates to cell processing techniques. By way of example, a cell processing system may include a plurality of sample processing devices configured to process patient samples and a plurality of readers respectively associated with the plurality of sample processing devices, wherein each reader is configured to read information from tracking devices associated with respective patient samples. The system may also include a controller that uses information from the readers to provide an estimated completion time for a patient sample based on availability of the sample processing devices.

公开(公告)号：US20170109481A1

公开(公告)日：2017-04-20

申请号：US14885169

申请日：2015-10-16

Applicant: General Electric Company

Inventor： Christopher Donald Johnson ,  Brandon Stephen Good ,  Andrew Phelps Day ,  David S. Toledano ,  Yang Zhao ,  Jeffrey Richardson Terry

IPC: G06F19/00

CPC classification number: G16H40/20

Abstract: Certain examples provide systems and methods to monitor and control hospital operational systems based on occupancy data and medical orders. An example healthcare workflow management and reasoning system includes a workflow engine including a first particularly programmed processor to monitor one or more medical orders from one or more hospital information systems to identify a condition indicating that a first patient in a first room is ready for a clinical activity such as discharge. The example healthcare workflow management and reasoning system includes a sensing component including a second processor to gather occupancy data regarding the first patient in the first room and transmit the occupancy data to the workflow engine. The example workflow engine controls one or more hospital operational systems to trigger cleaning of the first room, lighting settings for the first room, and transportation of a second patient to the first room based on occupancy data from the sensing component.

公开(公告)号：US20160063192A1

公开(公告)日：2016-03-03

申请号：US14473707

申请日：2014-08-29

Applicant: General Electric Company

Inventor： Christopher Donald Johnson ,  Onur Ilkin Dulgeroglu

IPC: G06F19/00 ,  G06Q10/06

CPC classification number: G16H40/20 ,  G06F19/00 ,  G06Q10/0635

Abstract: Systems, methods, and apparatus to dynamically manage interdependent, variable scheduled procedures are provided. An example method includes calculating a cumulative distribution function (CDF) for task(s) in a healthcare protocol based on a probability density function associated with task duration(s) for the task(s). The method includes determining a plurality of schedule risk states for each task in a healthcare protocol, each schedule risk state associated with an upper specification limit (USL) and a lower specification limit (LSL) along the CDF. The method includes identifying, within USL and LSL for each schedule risk state, setpoint(s) associated with probability(-ies) along the CDF. The method includes monitoring execution of task(s) in the healthcare protocol to identify a transition in schedule risk state according to USL and LSL. The method includes triggering an action to react to an actual or upcoming change in schedule risk state based on setpoint(s) associated with the schedule risk state.

Abstract translation: 提供了动态管理相互依赖的可变调度程序的系统，方法和装置。 示例性方法包括基于与任务的任务持续时间相关联的概率密度函数计算医疗保健协议中的任务的累积分布函数（CDF）。 该方法包括确定医疗保健协议中每个任务的多个调度风险状态，每个调度风险状态与沿CDF的较高规格限制（USL）和较低规范限制（LSL）相关联。 该方法包括在USL和LSL内针对每个进度风险状态识别与沿着CDF的概率（ - ）相关联的设定点。 该方法包括监视医疗保健协议中任务的执行，以根据USL和LSL识别进度风险状态的转换。 该方法包括触发一个动作，以基于与进度风险状态相关联的设定点对实际或即将到来的进度风险状态变化作出反应。

公开(公告)号：US20150254429A1

公开(公告)日：2015-09-10

申请号：US14720000

申请日：2015-05-22

Applicant: General Electric Company

Inventor： Deborah Jean Belcher ,  Christopher Donald Johnson ,  Jacques E. Gilbert ,  David W. Lee ,  Eric T. Jester

IPC: G06F19/00

CPC classification number: G06F19/3481 ,  G06F19/328 ,  G06Q50/22 ,  G06Q50/24 ,  G06T11/206 ,  G16H10/60 ,  G16H50/20

Abstract: An example system includes a care decision subsystem to process a patient problem and clinical patient attribute to (a) identify a plurality of patient care path options for evaluation by a patient and/or provider and to (b) generate a mashup of the plurality of patient care path options based on a combination of patient-specific criteria including (i) clinical efficacy and (ii) cost associated with each of the plurality of patient care path options. Each of the plurality of patient care path options is generated for visual representation to be displayed and utilized in an evaluation by the patient/provider with respect to an objective associated with the patient problem. A user interface displays the mashup of the plurality of patient care path options for interaction to facilitate a data-driven selection of at least one of the plurality of patient care path options based on comparative efficacy and cost.

Abstract translation: 示例性系统包括处理患者问题和临床患者属性的护理决策子系统以（a）识别由患者和/或提供者评估的多个患者护理路径选项，并且（b）生成多个 基于患者特异性标准的组合的患者护理路径选项，包括（i）临床疗效和（ii）与多个患者护理路径选项中的每一个相关联的成本。 生成多个病人护理路径选项中的每一个，用于在患者/提供者针对与患者问题相关联的目标的评估中显示和使用视觉表示。 用户界面显示用于交互的多个病人护理路径选项的混搭，以促进基于比较功效和成本的多个患者护理路径选项中的至少一个的数据驱动选择。