公开(公告)号：US11244259B2

公开(公告)日：2022-02-08

申请号：US16707822

申请日：2019-12-09

Applicant: General Electric Company

Inventor： Christopher D. Johnson ,  Kunter Seref Akbay ,  Onur Ilkin Dulgeroglu

IPC: G06Q10/06 ,  G06Q10/10 ,  G16H40/20 ,  G16H10/60 ,  G16H30/20

Abstract: A system and method for use in managing and preparing for scheduled procedures that are characterized as being interdependent and variable. The disclosed method enables schedule risk management and provides a look-ahead capability along with process diagnostics to isolate specific assets and tasks that can be managed to reduce schedule risk. The method facilitates review of upcoming tasks by the process stakeholders for education as to where the schedule risks reside and in an emulation mode for review and improved scheduling going forward. Clinical workflow is integrated such that process stakeholders and assets are directed in such a way as to keep on, reduce delay risk or recover the schedule.

公开(公告)号：US20180268507A1

公开(公告)日：2018-09-20

申请号：US15987714

申请日：2018-05-23

Applicant: General Electric Company

Inventor： Christopher Donald Johnson ,  Kunter Seref Akbay ,  Daniel Joseph Cleary

IPC: G06Q50/22 ,  G16H40/20

CPC classification number: G06Q50/22 ,  G06F19/3481 ,  G16H10/60 ,  G16H40/20

Abstract: Methods, systems and non-transitory computer readable media for automated workflow management for sleep quality are presented. A subject in a resting state is monitored using one or more sensors for acquiring one or more physiological parameters. A phase of sleep of the subject at a specific time using the physiological parameters is detected and inferred. Further, a recuperative benefit of the detected sleep phase is estimated. Additionally, it is determined is if an activity in a patient care workflow scheduled proximate to the specific time hinders sleep of the subject. The patient care workflow is then automatically reconfigured if scheduled activity hinders patient sleep, if the determined recuperative benefits exceed a designated threshold and/or if a proposed reconfiguration satisfies one or more designated criteria accounting for both restorative benefits to the patient and objectives of competing care delivery activities for both a given patient and a department.

公开(公告)号：US09934358B2

公开(公告)日：2018-04-03

申请号：US15692182

申请日：2017-08-31

Applicant: General Electric Company

Inventor： Christopher Donald Johnson ,  Peter Henry Tu ,  Piero Patrone Bonissone ,  John Michael Lizzi, Jr. ,  Kunter Seref Akbay ,  Ting Yu ,  Corey Nicholas Bufi ,  Viswanath Avasarala ,  Naresh Sundaram Iyer ,  Yi Yao ,  Kedar Anil Patwardhan ,  Dashan Gao

IPC: H04N7/18 ,  G06F19/00 ,  G06Q10/00 ,  G08B21/24

CPC classification number: G16H40/20 ,  G06F19/00 ,  G06F19/321 ,  G06F19/3418 ,  G06Q10/00 ,  G08B21/245 ,  G16H10/60 ,  G16H30/20 ,  G16H80/00

Abstract: The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

公开(公告)号：US20160140386A1

公开(公告)日：2016-05-19

申请号：US15002672

申请日：2016-01-21

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Ting Yu ,  Peter Henry Tu ,  Dashan Gao ,  Kunter Seref Akbay ,  Yi Yao

IPC: G06K9/00 ,  G06K9/66 ,  G06T7/00 ,  G06K9/62

CPC classification number: G06K9/00362 ,  G06K9/00771 ,  G06K9/6218 ,  G06K9/6232 ,  G06K9/66 ,  G06T7/70

Abstract: A tracking and recognition system is provided. The system includes a computer vision-based identity recognition system configured to recognize one or more persons, without a priori knowledge of the respective persons, via an online discriminative learning of appearance signature models of the respective persons. The computer vision-based identity recognition system includes a memory physically encoding one or more routines, which when executed, cause the performance of constructing pairwise constraints between the unlabeled tracking samples. The computer vision-based identity recognition system also includes a processor configured to receive unlabeled tracking samples collected from one or more person trackers and to execute the routines stored in the memory via one or more algorithms to construct the pairwise constraints between the unlabeled tracking samples.