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    Closed-Loop Intelligence
    1.
    发明申请
    Closed-Loop Intelligence 有权

    公开(公告)号：US20250045253A1

    公开(公告)日：2025-02-06

    申请号：US18923483

    申请日：2024-10-22

    Applicant: Cerner Innovation, Inc.

    Inventor： Bharat B. Sutariya ,  Ryan Alan Brush ,  Cole Anthony Erdmann

    IPC: G06F16/21 ,  G06N20/00 ,  G16H10/60

    Abstract: Methods, computer systems, and computer-storage medium are provided for providing closed-loop intelligence. A selection of data is received, at a cloud service, from a database comprising data from a plurality of sources in a Fast Healthcare Interoperability Resources (FHIR) format to build a data model. After a feature vector corresponding to the data model is extracted, a selection of an algorithm for a machine learning model to apply to the data model is received. A portion of the selection of data is utilized for training data and test data and the machine learning model is applied to the training data. Once the model is trained, the trained machine learning model can be saved at the cloud service, where it may be accessed by others.

    Curation of data from disparate records
    5.
    发明授权
    Curation of data from disparate records 有权

    公开(公告)号：US12174821B2

    公开(公告)日：2024-12-24

    申请号：US17653067

    申请日：2022-03-01

    Applicant: CERNER INNOVATION, INC.

    Inventor： Anand Parameshwar Shanbhag ,  Srinidhi Kumble ,  Sridhar Srinivasan

    IPC: G06F16/23 ,  G06F16/22 ,  G06F16/28 ,  G16H10/60

    Abstract: The boosting of the weights related to imperfect matches of electronic records from disparate sources is discussed. The imperfect matches may be in primary data (such as a code) and/or in supplemental data between two or more records that correspond to the same person (such as a patient). The imperfect matches are analyzed to determine whether they are sufficient to warrant de-duplication of those imperfect matches in a final combined record for the person. The boosting of the weights may be based upon any of numerous factors, such as various distance measures between the supplemental information as a measure of how different the supplemental information is between the respective records.

    ACTIVE MANAGEMENT OF FILES BEING PROCESSED IN ENTERPRISE DATA WAREHOUSES UTILIZING TIME SERIES PREDICTIONS
    6.
    发明申请
    ACTIVE MANAGEMENT OF FILES BEING PROCESSED IN ENTERPRISE DATA WAREHOUSES UTILIZING TIME SERIES PREDICTIONS 有权

    公开(公告)号：US20240419689A1

    公开(公告)日：2024-12-19

    申请号：US18816654

    申请日：2024-08-27

    Applicant: Cerner Innovation, Inc.

    Inventor： Wasimakram Binnal ,  Karthik Kolar Nagaraja ,  Pradeep Revanna Premakumar

    IPC: G06F16/28 ,  G06F16/21 ,  H04L67/10

    Abstract: Techniques are provided for determining a delay in a data process flow at an enterprise data warehouse. An example method generating a feature for a machine learning model to use to forecast a time interval between receipt of first data at a staging area of a data warehouse and receipt of the first data at a target database of the data warehouse based at least in part on second data received from the staging area and third data received from the target database. The method can further include generating, using the machine learning model, a forecasted time interval based at least in part on the feature. The method can further include comparing the forecasted time interval with an expected time interval for fourth data received at the staging area. The method can further include updating a priority of the first data based at least in part on the comparison. The method can further include transmitting the first data to the target database based at least in part on the updated priority.

    Patient safety using virtual observation
    8.
    发明授权
    Patient safety using virtual observation 有权

    公开(公告)号：US12148512B2

    公开(公告)日：2024-11-19

    申请号：US16731274

    申请日：2019-12-31

    Applicant: CERNER INNOVATION, INC.

    Inventor： Todd Bechtel ,  Lisa Schaberg ,  Julie Hull ,  Michelle Padgett

    IPC: G16H10/60 ,  G16H40/60 ,  G16H50/30

    Abstract: Methods, systems, and computer-readable media are provided for improving patient safety using virtual observation. A falls risk assessment and a patient safety risk assessment are initially provided within an electronic health record of a patient. A clinician is prompted at a clinician device to provide input to the falls risk assessment and the patient safety risk assessment for the patient. Based on the input, a safety assessment score is determined for the patient. The safety assessment score is provided to the clinician via the clinician device and the clinician is prompted to initiate an order to place a camera in the room of the patient. Based on the order, a virtual sitter may be assigned to the patient to monitor the camera.

    RAPID EVENT AND TRAUMA DOCUMENTATION USING VOICE CAPTURE
    10.
    发明公开
    RAPID EVENT AND TRAUMA DOCUMENTATION USING VOICE CAPTURE 审中-公开

    公开(公告)号：US20240282311A1

    公开(公告)日：2024-08-22

    申请号：US18651994

    申请日：2024-05-01

    Applicant: CERNER INNOVATION, INC.

    Inventor： Allison Michelle Thilges ,  Neil Curtis Pfeiffer ,  Eslie Rolland Phillips, III ,  Geoffrey Harold Simmons

    IPC: G10L17/00 ,  G16H10/60

    CPC classification number: G10L17/00 ,  G16H10/60

    Abstract: Methods, systems, and computer-readable media for rapid event voice documentation are provided herein. The rapid event voice documentation system captures verbalized orders and actions and translates that unstructured voice data to structured, usable data for documentation. The voice data captured is tagged with metadata including the name and role of the speaker, a time stamp indicating a time the data was spoken, and a clinical concept identified in the data captured. The system automatically identifies orders (e.g., medications, labs and procedures, etc.), treatments, and assessments/findings that were verbalized during the rapid event to create structured data that is usable by a health information system and ready for documentation directly into an EHR. The system provides all of the captured data including orders, assessment documentation, vital signs and measurements, performed procedures, and treatments, and who performed each, available for viewing and interaction in real time.

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