COMPUTER-AUTOMATED SCRIBE TOOLS
    1.
    发明申请

    公开(公告)号:WO2018152352A1

    公开(公告)日:2018-08-23

    申请号:PCT/US2018/018406

    申请日:2018-02-15

    Applicant: MMODAL IP LLC

    Abstract: A computerized system processes the speech of a physician and a patient during a patient encounter to automatically produce a draft clinical report which documents the patient encounter. The draft clinical report includes information that has been abstracted from the speech of the physician and patient. The draft report is provided to the physician for review. Producing the draft clinical report automatically, rather than requiring the physician to prepare the draft clinical report manually, significantly reduces the time required by the physician to produce the final version of the clinical report.

    COLLABORATIVE SYNTHESIS-BASED CLINICAL DOCUMENTATION
    2.
    发明申请
    COLLABORATIVE SYNTHESIS-BASED CLINICAL DOCUMENTATION 审中-公开
    基于协同合成的临床文献

    公开(公告)号:WO2014152388A1

    公开(公告)日:2014-09-25

    申请号:PCT/US2014/027285

    申请日:2014-03-14

    Applicant: MMODAL IP LLC

    CPC classification number: G06F19/322 G06F19/00 G16H10/60 G16H80/00

    Abstract: A graphical user interface, referred to herein as a virtual whiteboard, that provides both: (1) an automatically prioritized display of information related to a particular patient that is tailored to the current user of the system, and (2) a "scratch pad" area in which multiple users of the system may input free-form text and other data for sharing with other users of the system. When each user of the system accesses the virtual whiteboard, the system: (1) automatically prioritizes the patient information based on characteristics of the user and displays the automatically prioritized patient information to that user, and (2) displays the contents of the scratch pad to the user. As a result, the whiteboard displays both information that is tailored to the current user and information that is common to all users (i.e., not tailored to any particular user).

    Abstract translation: 本文中称为虚拟白板的图形用户界面同时提供:(1)自动优先显示与系统的当前用户相关的特定患者相关的信息,以及(2)“便条板 “系统的多个用户可以输入自由格式的文本和其他数据以与系统的其他用户共享的区域。 当系统的每个用户访问虚拟白板时,系统:(1)基于用户的特征自动确定患者信息的优先级,并向该用户显示自动优先的患者信息,以及(2)显示便笺本的内容 给用户 因此,白板显示针对当前用户定制的信息和所有用户所共有的信息(即,未被定制到任何特定用户)。

    AUTOMATED CLINICAL EVIDENCE SHEET WORKFLOW
    3.
    发明申请
    AUTOMATED CLINICAL EVIDENCE SHEET WORKFLOW 审中-公开
    自动化临床证据表工作流程

    公开(公告)号:WO2014005040A2

    公开(公告)日:2014-01-03

    申请号:PCT/US2013048617

    申请日:2013-06-28

    Applicant: MMODAL IP LLC

    Abstract: Embodiments of the present invention are directed to computer systems for implementing dynamic, data-driven workflows within healthcare and other environments. Such a system may include a computer-processable definition of one or more workflows. Each workflow definition may define various aspects of the corresponding workflow, such as the data required by the workflow, a process for extracting such data from a variety of structured and/or unstructured data sources, a set of process steps to be performed within the workflow, and a condition for triggering the workflow. The system may use the workflow definition to extract the data required by the workflow and to perform the workflow's process steps on the extracted data in response to determining that the workflow's trigger condition has been satisfied. The workflow may change in response to changes in data extracted by the workflow.

    Abstract translation: 本发明的实施例涉及用于在医疗保健和其他环境内实现动态的,数据驱动的工作流的计算机系统。 这样的系统可以包括计算机可处理的一个或多个工作流的定义。 每个工作流定义可以定义相应工作流的各个方面,例如工作流所需的数据,从各种结构化和/或非结构化数据源中提取这些数据的过程,要在工作流内执行的一组过程步骤 ,以及触发工作流程的条件。 响应于确定工作流的触发条件已被满足,系统可以使用工作流定义来提取工作流所需的数据并且对所提取的数据执行工作流的流程步骤。 响应于工作流提取的数据的变化,工作流可能会改变。

    USING ALTERNATIVE SOURCES OF EVIDENCE IN COMPUTER-ASSISTED BILLING CODING

    公开(公告)号:WO2012177611A3

    公开(公告)日:2012-12-27

    申请号:PCT/US2012/043105

    申请日:2012-06-19

    Abstract: A computerized billing code generator reviews billing source data containing both admissible data (such as physician's notes) and inadmissible data (such as nurse's notes). The billing code generator determines whether to generate a request to review the first data based on both the first data and the second data. For example, the billing code generator may generate the request in response to determining that the second data contains information that is inconsistent with information contained in the first data. As another example, the billing code generator may generate the request in response to determining that the second data contains information that is not contained within the first data.

    Dynamic De-Identification of Healthcare Data
    5.
    发明申请
    Dynamic De-Identification of Healthcare Data 审中-公开
    医疗数据的动态反识别

    公开(公告)号:WO2017079024A1

    公开(公告)日:2017-05-11

    申请号:PCT/US2016/059061

    申请日:2016-10-27

    Applicant: MMODAL IP LLC

    Abstract: A method for dynamic de-identification of a document includes generating a document including a tag associated with an element including protected health information, the tag including at least one instruction for rendering the element. The method includes identifying a level of authorization of a user requesting access to the generated document. The method includes rendering the document for display to the user according to the at least one instruction in the tag, based on the determined level of authorization.

    Abstract translation: 用于对文档进行动态解除识别的方法包括生成包括与包括受保护的健康信息的元素相关联的标签的文档,所述标签包括用于呈现元素的至少一个指令。 该方法包括识别请求访问所生成的文档的用户的授权等级。 该方法包括基于所确定的授权等级,根据标签中的至少一个指令来呈现文档以供显示给用户。

    MAINTAINING A DISCRETE DATA REPRESENTATION THAT CORRESPONDS TO INFORMATION CONTAINED IN FREE-FORM TEXT
    6.
    发明申请
    MAINTAINING A DISCRETE DATA REPRESENTATION THAT CORRESPONDS TO INFORMATION CONTAINED IN FREE-FORM TEXT 审中-公开
    维护与自由格式文本中包含的信息相对应的离散数据表示

    公开(公告)号:WO2014028529A2

    公开(公告)日:2014-02-20

    申请号:PCT/US2013/054786

    申请日:2013-08-13

    Applicant: MMODAL IP LLC

    CPC classification number: G06F3/0481 G06F17/243 G06F19/00 G16H10/60 G16H50/20

    Abstract: A system includes a data record (such as an Electronic Medical Record (EMR)) and a user interface for modifying (e.g., storing data in) the data record. The data record includes both free-form text elements and discrete data elements. The user interface includes user interface elements for receiving free-form text data. In response to receiving free-form text data via the free-form text user interface elements, a suggested action is identified, such as a suggested action to take in connection with one of the discrete data elements of the data record. Output is generated representing the suggested action. A user provides input indicating acceptance or rejection of the suggested action. The suggested action may be performed in response to the user input.

    Abstract translation: 系统包括数据记录(诸如电子医疗记录(EMR))和用于修改(例如,将数据存储在)数据记录中的用户界面。 数据记录包括自由形式的文本元素和离散数据元素。 用户界面包括用于接收自由形式文本数据的用户界面元素。 响应于通过自由形式的文本用户界面元素接收自由形式的文本数据,识别建议的动作,例如与数据记录的离散数据元素之一相关的建议动作。 生成代表建议操作的输出。 用户提供指示接受或拒绝建议的动作的输入。 建议的操作可能会响应用户输入而执行。

    SPEECH RECOGNITION USING CONTEXT-AWARE RECOGNITION MODELS

    公开(公告)号:WO2012177646A3

    公开(公告)日:2012-12-27

    申请号:PCT/US2012/043158

    申请日:2012-06-19

    Abstract: Inputs provided into user interface elements of an application are observed. Records are made of the inputs and the state(s) the application was in while the inputs were provided. For each state, a corresponding language model is trained based on the input(s) provided to the application while the application was in that state. When the application is next observed to be in a previously-observed state, a language model associated with the application's current state is applied to recognize speech input provided by a user and thereby to generate speech recognition output that is provided to the application. An application's state at a particular time may include the user interface element(s) that are displayed and/or in focus at that time.

    SPEECH RECOGNITION USING LOOSELY COUPLED COMPONENTS

    公开(公告)号:WO2012173941A3

    公开(公告)日:2012-12-20

    申请号:PCT/US2012/041955

    申请日:2012-06-11

    Abstract: An automatic speech recognition system includes an audio capture component, a speech recognition processing component, and a result processing component which are distributed among two or more logical devices and/or two or more physical devices. In particular, the audio capture component may be located on a different logical device and/or physical device from the result processing component. For example, the audio capture component may be on a computer connected to a microphone into which a user speaks, while the result processing component may be on a terminal server which receives speech recognition results from a speech recognition processing server.

    APPLYING MACHINE LEARNING TO SCRIBE INPUT TO IMPROVE DATA ACCURACY

    公开(公告)号:WO2020084529A1

    公开(公告)日:2020-04-30

    申请号:PCT/IB2019/059077

    申请日:2019-10-23

    Applicant: MMODAL IP LLC

    Abstract: A computerized system learns a mapping from the speech of a physician and patient in a physician-patient encounter to discrete information to be input into the patient's Electronic Medical Record (EMR). The system learns this mapping based on a transcript of the physician-patient dialog, an initial state of the EMR (before the EMR was updated based on the physician-patient dialogue), and a final state of the EMR (after the EMR was updated based on the physician-patient dialog). The learning process is enhanced by taking advantage of knowledge of the differences between the initial EMR state and the final EMR state.

    CORRELATING AUDIO SIGNALS FOR AUTHENTICATION
    10.
    发明申请

    公开(公告)号:WO2020008374A3

    公开(公告)日:2020-01-09

    申请号:PCT/IB2019/055655

    申请日:2019-07-03

    Applicant: MMODAL IP LLC

    Abstract: A computer system automatically authenticates a user to a server in response to determining that an audio signal received from one microphone positively correlates with an audio signal received from another microphone that is associated with a computing device at which the user is already authenticated to the server. Two audio signals are received from distinct microphones associated with first and second computing devices. A correlation module performs correlation on the two audio signals. An authentication module automatically authenticates a user to a server at the first computing device if it is determined that the first audio signal positively correlates with the second audio signal and the user is already authenticated to the server at the second computing device.

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