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    SYSTEM AND METHOD FOR OPTIMIZING A USER EXPERIENCE BASED ON PATIENT CONTEXT, USER ROLES, CURRENT WORKFLOW, AND DISPLAY PROXIMITY
    1.
    发明申请
    SYSTEM AND METHOD FOR OPTIMIZING A USER EXPERIENCE BASED ON PATIENT CONTEXT, USER ROLES, CURRENT WORKFLOW, AND DISPLAY PROXIMITY 审中-公开

    公开(公告)号：US20190286844A1

    公开(公告)日：2019-09-19

    申请号：US16318169

    申请日：2017-07-27

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Brian David GROSS

    IPC: G06F21/62 ,  H04L29/06 ,  G16H10/60 ,  H04L29/08

    Abstract: In a medical workspaces management method, a user identified in a users database (52) is authenticated. At a server computer (10), a virtual session is created including running instances (16) of a plurality of medical applications on the server computer with the instances associated with the authenticated user. Using at least one locating service (20), a current medical content presentation device (30, 32) is identified which is proximate to the authenticated user. At the server computer, a set of rules is applied to determine content of the instances to be presented. This content is pushed from the server computer to the current medical content presentation device. At the current medical content presentation device, the pushed content is presented on a display (40, 42) of the current medical content presentation device.

    METHOD AND SYSTEM FOR MAKING MULTISITE PERFORMANCE MEASURE ANONYMOUS AND FOR CONTROLLING ACTIONS AND RE-IDENTIFICATION OF ANONYMOUS DATA
    2.
    发明申请
    METHOD AND SYSTEM FOR MAKING MULTISITE PERFORMANCE MEASURE ANONYMOUS AND FOR CONTROLLING ACTIONS AND RE-IDENTIFICATION OF ANONYMOUS DATA 审中-公开
    用于制作多重性能测量方法和系统，用于控制动作和重新识别无效数据

    公开(公告)号：US20150302070A1

    公开(公告)日：2015-10-22

    申请号：US14647605

    申请日：2013-12-09

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Brian David GROSS ,  Issac ELDO

    IPC: G06F17/30 ,  H04L29/08

    CPC classification number: G06F17/30569 ,  G06F17/30286 ,  G06F17/30876 ,  H04L67/10

    Abstract: A system for making data source anonymous including a plurality of data sources, each data source including a data creation engine which creates normalized data in accordance with a common schema and a transformation engine which de-normalizes the normalized data such that the data source cannot be inferred by other data sources and transmits the de-normalized data to a remote computing resource.A remote computing resource receives and stores the de-normalized data from the plurality of data sources.

    Abstract translation: 一种用于使数据源匿名的系统，包括多个数据源，每个数据源包括数据创建引擎，该数据创建引擎根据公共模式创建归一化数据;以及变换引擎，其对归一化数据进行归一化，使得数据源不能 由其他数据源推断，并将去规范化的数据发送到远程计算资源。远程计算资源从多个数据源接收并存储去归一化的数据。

    SYSTEM AND METHOD TO DETECT SIGNIFICANT ARRHYTHMIC EVENTS THROUGH A PHOTOPLETHYSMOGRAM (PPG) AND ACCELEROMETER
    4.
    发明申请
    SYSTEM AND METHOD TO DETECT SIGNIFICANT ARRHYTHMIC EVENTS THROUGH A PHOTOPLETHYSMOGRAM (PPG) AND ACCELEROMETER 审中-公开
    通过光电子能谱（PPG）和加速度计检测重要的ARRHYTHMIC事件的系统和方法

    公开(公告)号：US20150305684A1

    公开(公告)日：2015-10-29

    申请号：US14648724

    申请日：2013-12-06

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Brian David GROSS

    IPC: A61B5/00 ,  A61B5/11 ,  A61B5/0205 ,  A61B5/113

    Abstract: A medical system (10) and method detect arrhythmic events. The medical system (10) includes at least one processor (28, 34, 50) programmed to perform the method. A photoplethysmogram (PPG) signal generated using a PPG probe (12) positioned on or within a patient (14) and a pulse signal generated using an accelerometer (38) positioned on or within the patient (14) received. Features from the PPG signal are extracted to PPG feature vectors, and features are extracted from the pulse signal to pulse feature vectors. The PPG feature vectors are correlated with the pulse feature vectors, and correlated PPG feature vectors and correlated pulse feature vectors are evaluated to detect arrhythmic events.

    Abstract translation: 医疗系统（10）和方法检测心律失常事件。 医疗系统（10）包括被编程为执行该方法的至少一个处理器（28,34,50）。 使用位于患者（14）上或患者（14）内的PPG探针（12）产生的光谱体积图（PPG）信号和使用位于患者（14）上或患者（14）内的加速度计（38）产生的脉冲信号。 将PPG信号的特征提取到PPG特征向量，并将特征从脉冲信号提取到脉冲特征向量。 PPG特征向量与脉冲特征向量相关，并且评估相关的PPG特征向量和相关的脉冲特征向量以检测心律失常事件。

    A MTHOD AND SYSTEM TO REDUCE THE NUISANCE ALARM LOAD IN THE CLINICAL SETTING
    6.
    发明申请
    A MTHOD AND SYSTEM TO REDUCE THE NUISANCE ALARM LOAD IN THE CLINICAL SETTING 有权
    减少临床设置中的健康报警负荷的方法和系统

    公开(公告)号：US20150310733A1

    公开(公告)日：2015-10-29

    申请号：US14647211

    申请日：2013-11-20

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Brian David GROSS

    IPC: G08B29/18 ,  G08B29/02

    CPC classification number: G08B29/185 ,  A61B5/02455 ,  A61B5/746 ,  G08B29/02 ,  G16H10/60 ,  G16H40/20 ,  G16H40/67

    Abstract: A medical method and corresponding system for determining outlying patients in a data set of patient physiological alarms. Physiological alarms for patients are received and/or generated. An alarm rate limit for the patients, and/or alarm response limits for clinician response times, are determined based on a clinical alarm management policy. The received and/or generated physiological alarms are analyzed to determine at least one of: 1) patients exceeding the alarm rate limit; and 2) clinicians exceeding the alarm response limits

    Abstract translation: 一种用于确定病人生理警报数据集中的外围患者的医疗方法和相应系统。 接收和/或产生患者的生理警报。 根据临床警报管理政策确定患者的报警率限制和/或临床医生响应时间的报警响应限制。 分析接收到的和/或产生的生理警报以确定以下至少一个：1）超过警报速率限制的患者; 和2）临床医生超出警报响应极限

    USE OF CLINICAL KNOWLEDGE TO IMPROVE USE OF NEXT GENERATION SEQUENCING
    8.
    发明申请
    USE OF CLINICAL KNOWLEDGE TO IMPROVE USE OF NEXT GENERATION SEQUENCING 审中-公开

    公开(公告)号：US20180315510A1

    公开(公告)日：2018-11-01

    申请号：US15963144

    申请日：2018-04-26

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Brian David GROSS

    IPC: G16H50/30 ,  G06F19/18 ,  C12Q1/6869

    CPC classification number: G16H50/80

    Abstract: A method (100) of ensuring optimal use of next generation sequencing (NGS) in complex therapy decision making is disclosed herein. Such a method may include: identifying (105) an infected patient eligible for NGS; determining (110) a patient care trajectory for the infected patient, where this trajectory is determined from database records of physical contact by the infected patient with a healthcare resource; sequencing (115) an isolate from the infected patient; while sequencing, identifying (120) additional patients at risk of infection, determining (125) overlap in the patient care trajectory of the infected patient and patient care trajectories of additional patients, and determining (130) a risk of infection to the additional patients based on this overlap and clinical data points for the additional patients; determining (135) an updated risk of transmission to the additional patients; and causing (140) a computing device to render output of the updated risk of transmission to the one or more additional patients.

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