CAP ASSEMBLY FOR A MEDICATION CONTAINER
    22.
    发明公开

    公开(公告)号:US20240058222A1

    公开(公告)日:2024-02-22

    申请号:US18384426

    申请日:2023-10-27

    CPC classification number: A61J7/0436 A61J7/0418 A61J2200/30

    Abstract: The medication container includes a receptacle and a cap. The cap includes a gate that can be selectively opened to enable access to medications in the receptacle and closed to restrict access to medications in the receptacle. The gate has a locking mechanism that only unlocks to allow the gate to open from the closed position in response to an application of a downward force on a portion of the gate to resiliently deflect a portion of the gate. The cap further includes electronic components that are configured to monitor movement of medications through the cap and into and out of the receptacle, the electronic components including a memory that is configured to store data pertaining to such passages of medications.

    METHOD AND SYSTEM FOR PROGRAMMATICALLY TESTING USER INTERFACE PATHS

    公开(公告)号:US20240054069A1

    公开(公告)日:2024-02-15

    申请号:US18384947

    申请日:2023-10-30

    CPC classification number: G06F11/3688 G06F17/18 G06F11/3664 G06N3/045

    Abstract: A computer system for testing a user interface includes a memory circuit and a processor circuit configured to execute instructions including obtaining a state of the user interface. The instructions include setting a current position to a specified location within the user interface. The instructions include executing user interface tests to generate multiple paths. The instructions include determining a shortest path toward a goal location by identifying a path having a minimum distance that satisfies criteria. A distance for the path is based on two-dimensional distances between pairs of consecutive positions that include the current position as well as positions, along the particular path, of user interface elements requiring interaction to satisfy the criteria. The instructions including generating a preferred path based on preferred path information indicative of a specified path toward the goal location, comparing the determined shortest path to the generated preferred path, and outputting an analysis result.

    SYSTEM AND METHOD FOR RECEIVING AND DELIVERING A MEDICAL PACKAGE

    公开(公告)号:US20230419239A1

    公开(公告)日:2023-12-28

    申请号:US18243142

    申请日:2023-09-07

    Inventor: John Ciliberti

    CPC classification number: G06Q10/0832 G06Q10/0833 B64U2201/10

    Abstract: A system and method for controlling an autonomous unmanned aerial vehicle for retrieval and delivery of a medical package includes determining a thermal control period for the medical package. The disclosure also includes identifying a relevant retrieval location corresponding to the medical package. The disclosure also includes identifying at least one environmental characteristic of an environment that includes a delivery three-dimensional flight path between the relevant retrieval location and a delivery location, wherein the at least one environmental characteristic indicates an actual weather value at the relevant retrieval location. The disclosure also includes determining whether to retrieve the medical package based on the thermal control period and the at least one environmental characteristic, using the unmanned aerial vehicle.

    NETWORKED COMPUTING DEVICES
    26.
    发明公开

    公开(公告)号:US20230419224A1

    公开(公告)日:2023-12-28

    申请号:US18367539

    申请日:2023-09-13

    CPC classification number: G06Q10/0635 G06Q30/018 G16H20/10

    Abstract: A governmental regulatory computing device, a user computing device, a participant computing device, and an analysis computing device communicate via a network. The analysis computing device determines a risk associated with at least one of a drug and a drug manufacturer based on data from the governmental regulatory computing device and a predicted demand from the participant computing device. The user computing device: requests and receives the risk from the analysis computing device; generates a report regarding the at least one of the drug and the drug manufacturer and include the risk in the report: and displays the report including the risk and the at least one of the drug and the drug manufacturer on a display. The analysis computing device, based on the risk associated with at least one of the drug and the drug manufacturer, selectively automatically orders a quantity of the drug from the drug manufacturer.

    METHODS AND SYSTEMS FOR PREDICTING PRESCRIPTION DIRECTIONS USING MACHINE LEARNING ALGORITHM

    公开(公告)号:US20230409905A1

    公开(公告)日:2023-12-21

    申请号:US18242098

    申请日:2023-09-05

    CPC classification number: G06N3/08 G06Q40/08 G16H20/10 G06N20/00 G06N3/045

    Abstract: Methods and systems for predicting prescription drug directions are described. In one embodiment, a drug direction prediction subsystem receives and pre-processes values of a plurality of required pharmacy elements for a corresponding prescription of a plurality of prescriptions, generates respective weights for the values of the plurality of required pharmacy elements of the prescription based on one or more of the values of the plurality required pharmacy elements of the prescription, creates a machine learning model to be used by the applicable one of the plurality of machine learning algorithms in predicting drug directions of the prescription, the machine learning model using the values of the plurality of required pharmacy elements of the prescription and the respective weights, and predicts a plurality of drug directions of a new prescription by executing the machine learning model using weighted values of the plurality of required pharmacy elements of the new prescription.

    Machine model generation systems and methods

    公开(公告)号:US11848101B2

    公开(公告)日:2023-12-19

    申请号:US17363605

    申请日:2021-06-30

    CPC classification number: G16H50/20 G06N20/00 G06Q50/22 G16H10/60

    Abstract: A method includes defining model attributes of a machine model that organizes feedback data into topic groups based on similarities in concepts in the feedback data. The model attributes include a topic model number that defines how many topic groups are to be created, a hyperparameter optimization alpha value, and/or a hyperparameter optimization beta value. The method also includes generating the machine model using the model attributes that are defined and the feedback data, and applying the machine model to the feedback data to divide different portions of the feedback data into the different topic groups based on contents of the feedback data, the topic model number, the hyperparameter optimization alpha value, and/or the hyperparameter optimization beta value.

    Methods and systems for automatic prescription processing using machine learning algorithm

    公开(公告)号:US11848086B2

    公开(公告)日:2023-12-19

    申请号:US17994442

    申请日:2022-11-28

    CPC classification number: G16H20/10 G06N20/20 G16H50/70

    Abstract: Methods and systems for selecting a machine learning algorithm are described. In one embodiment, one or more factors to be used by a plurality of machine learning algorithms in predicting a value of a required pharmacy element of a prescription are identified, each of the plurality of machine learning algorithms are trained to predict the value of the required pharmacy element using a first subset of previously received prescriptions, respective success rates for each of the plurality of machine learning algorithms at predicting respective known values of respective known required pharmacy elements for each of a second subset of the previously received prescriptions are determined, and a first of the plurality of machine learning algorithms having a highest success rate is selected to predict the value of the required pharmacy element of the prescription for a first predetermined period.

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