Data mining system for noninvasive intracranial pressure assessment
    21.
    发明授权
    Data mining system for noninvasive intracranial pressure assessment 有权
    无创颅内压评估数据挖掘系统

    公开(公告)号:US08821408B2

    公开(公告)日:2014-09-02

    申请号:US12296087

    申请日:2007-04-05

    IPC分类号: A61B5/00 A61B5/03 G05B13/02

    摘要: Systems and methods are described for noninvasively assessing an intracranial pressure of a patient. Some embodiments include providing a simulation model with a measured arterial blood pressure of the patient. Some embodiments further include providing the simulation model with a measured cerebral blood flow velocity of the patient. The simulation model correlates arterial blood pressure values, cerebral blood flow velocity values, and intracranial pressure values. Some embodiments further includes determining an intracranial pressure of the patient based on the simulation model. Some embodiments further includes creating an output data set indicative of the determined intracranial pressure.

    摘要翻译: 描述了用于非侵入性评估患者的颅内压的系统和方法。 一些实施例包括提供具有患者的测量的动脉血压的模拟模型。 一些实施例还包括向模拟模型提供测量的患者的脑血流速度。 模拟模型将动脉血压值,脑血流速度值和颅内压值相关联。 一些实施例还包括基于模拟模型确定患者的颅内压。 一些实施例还包括创建指示确定的颅内压的输出数据集。

    Generation and dissemination of automatically pre-populated clinical notes
    22.
    发明授权
    Generation and dissemination of automatically pre-populated clinical notes 有权
    生成和传播自动预先填写的临床记录

    公开(公告)号:US08805703B2

    公开(公告)日:2014-08-12

    申请号:US12247987

    申请日:2008-10-08

    IPC分类号: G06Q30/00 G06Q50/00

    摘要: Some embodiments provide a system and method for automatedly aggregating medically related data and disseminating different sets of the aggregated data to two or more different members of a medical care provider. Some embodiments automatedly and intelligently disseminate the aggregated data such that the data that is written once to the data storage solution is usable for a multitude of purposes within the functions of the medical care provider. Some embodiments intelligently disseminate the aggregated data by disseminating only relevant sub-components of the data to different members of the medical care provider based on the needs of the members such that different members receive different subsets of the data.

    摘要翻译: 一些实施例提供了一种系统和方法,用于自动地聚合医学相关数据并将不同组的聚合数据传播到医疗保健提供者的两个或多个不同成员。 一些实施例自动且智能地传播聚合数据,使得一次写入数据存储解决方案的数据可用于医疗保健提供者的功能中的多种目的。 一些实施例通过仅基于成员的需要向医疗保健提供者的不同成员传播数据的相关子组件来智能地传播聚合的数据,使得不同的成员接收不同的数据子集。

    Patient monitoring
    24.
    发明授权
    Patient monitoring 有权
    病人监护

    公开(公告)号:US08510126B2

    公开(公告)日:2013-08-13

    申请号:US12036285

    申请日:2008-02-24

    IPC分类号: G06Q10/00 G06Q50/00

    摘要: Some embodiments of the invention provide a method for monitoring patients in a unit of a hospital, an entire hospital, or several hospitals. In some of these embodiments, the methods receives data pertaining to multiple patients. The method aggregates the data and calculated scores based on the received data. The method also calculates trends associated with the aggregated data and/or the generated scores. The method further displays the aggregated and calculated data in a unified display that facilitates efficient allocation of resources in the hospital unit, the hospital, or the group of hospitals.

    摘要翻译: 本发明的一些实施例提供了一种用于监测医院,整个医院或几家医院的患者的方法。 在这些实施例中的一些实施例中,所述方法接收与多个患者有关的数据。 该方法根据收到的数据聚合数据和计算得分。 该方法还计算与聚合数据和/或生成得分相关的趋势。 该方法进一步显示统一显示中的汇总和计算数据,有助于医院单位,医院或医院组中的资源的有效分配。

    Method, Apparatus And Computer Program Product For Predicting And Avoiding A Fault
    28.
    发明申请
    Method, Apparatus And Computer Program Product For Predicting And Avoiding A Fault 有权
    用于预测和避免故障的方法,设备和计算机程序产品

    公开(公告)号:US20090228160A1

    公开(公告)日:2009-09-10

    申请号:US12045388

    申请日:2008-03-10

    CPC分类号: G06F11/008

    摘要: A method, apparatus and computer program product are provided to not only predict an impending fault, but also to avoid the occurrence of the fault such that continued operations are permitted with a reduced likelihood of the occurrence of the fault. In this regard, a plurality of features are provided to at least one model, such as a random forest classification model. The plurality of features include features representative of at least one prior operational sequence as well as features representative of at least one upcoming operational sequence. The plurality of features are then processed with at least one model to determine a likelihood of a fault during the upcoming operational sequence. The method also alters the characteristics of the upcoming operational sequence without requiring maintenance of the equipment to thereby permit the upcoming operational sequence to be conducted with a reduced likelihood of the fault.

    摘要翻译: 提供了一种方法,装置和计算机程序产品,用于不仅可以预测即将发生的故障,而且可以避免故障的发生,从而允许以故障发生的可能性降低的持续操作。 在这方面,向诸如随机森林分类模型的至少一个模型提供多个特征。 多个特征包括表示至少一个先前操作序列的特征以及表示至少一个即将到来的操作序列的特征。 然后利用至少一个模型处理多个特征以确定在即将到来的操作序列期间故障的可能性。 该方法还改变即将到来的操作序列的特征,而不需要维护设备,从而允许以较低的故障可能性来进行即将到来的操作顺序。

    Clinical information system
    29.
    发明申请
    Clinical information system 审中-公开
    临床信息系统

    公开(公告)号:US20090089100A1

    公开(公告)日:2009-04-02

    申请号:US12286043

    申请日:2008-09-27

    IPC分类号: G06Q10/00 G10L15/00 G06Q50/00

    摘要: A system, for interpreting information for a physician user or non-physician user, is described. The system includes a processing module configured to convert numerical data to at least one of a natural-language text and a machine vocalization. The at least one of the natural-language text and the machine vocalization describes a characteristic of the numerical data. The characteristic of the numerical data comprises at least one of a trend, a first derivative, a second derivative, a high value, a low value, and a time period, a pattern of repetition, an extrapolation, an interpolation, and a frequency. The physician user may enter data or receive data by voice alone through the backend database. The physician user may also order tests, labs or check on the same by voice alone.

    摘要翻译: 描述了用于解释医师用户或非医师用户的信息的系统。 该系统包括处理模块,该处理模块被配置为将数字数据转换为自然语言文本和机器发声中的至少一个。 自然语言文本和机器发声中的至少一个描述了数字数据的特征。 数值数据的特征包括趋势,一阶导数,二阶导数,高值,低值和时间段,重复模式,外推,插值和频率中的至少一个。 医生用户可以通过后台数据库单独输入数据或接收数据。 医生用户也可以单独通过声音命令测试,实验室或检查。