AUTOMATED COMPRESSION OF LOGICAL RULE SETS INTO EXECUTABLE FORM

    公开(公告)号:US20250085927A1

    公开(公告)日:2025-03-13

    申请号:US18367741

    申请日:2023-09-13

    Abstract: A computerized method includes initiating, via a user, an operation on logical descriptive data stored in a storage device, the logical descriptive data includes a set of uncompressed rules each including a set of conditions expressed as a Boolean algebraic expression. The method includes determining whether each of the uncompressed rules includes a singleton rule or a nested rule. The method includes, in response to at least one of the uncompressed rules including a nested rule, compressing the nested rule to form a compressed rule, replacing the nested rule with the compressed rule, and updating the logical descriptive data to include the compressed rule.

    Method and system for programmatically adapting a user interface

    公开(公告)号:US12210444B2

    公开(公告)日:2025-01-28

    申请号:US18236158

    申请日:2023-08-21

    Abstract: A method for testing a user interface (UI) includes obtaining a first state of the UI and setting a current position to specified location coordinates. The method includes determining whether the first state satisfies criteria for a goal and, if so, updating a collection of completed tests with a test distance and test data. The method includes, in response to the first state not satisfying the criteria: determining a set of potential user actions to be performed in the first state based on interactive elements of the UI; selecting and executing an action; and updating the test distance based on the current position and location coordinates of the element associated with the action. The method includes determining a shortest path to the goal in the UI based on the collection of completed tests. The method includes, based on the determined shortest path, automatically visually transforming a state of the UI.

    SYSTEMS AND METHODS FOR IMPROVING INTERACTIONS OF INSURANCE PROVIDERS, PRESCRIBING HEALTHCARE PROFESSIONALS, AND MEMBERS ASSOCIATED WITH A HIGH VOLUME PHARMACY

    公开(公告)号:US20250022561A1

    公开(公告)日:2025-01-16

    申请号:US18220936

    申请日:2023-07-12

    Abstract: A method includes receiving prescription data associated with a plurality of prescriptions written by a prescribing healthcare professional and determining a prescriber score for the prescribing healthcare professional based on the prescription data. The method also includes determining a prescription product score for each prescription product, retrieving member data, and determining a member score for each respective member. The method also includes determining a prescriber propensity score for the prescribing healthcare professional, and, in response to a determination that the prescriber propensity score is greater than a first threshold, identifying respective members having a member score that is greater than a second threshold, and generating, for display, an output indicating at least the prescriber propensity score and a list of identified respective members.

    METHODS AND SYSTEMS FOR AUTOMATIC APPEAL AUTHORIZATION USING MACHINE LEARNING ALGORITHM

    公开(公告)号:US20240419702A1

    公开(公告)日:2024-12-19

    申请号:US18817441

    申请日:2024-08-28

    Abstract: Methods and systems for selecting a deep learning/machine learning model are described. In one embodiment, a plurality of models are optimized by addressing class imbalances among a first subset of records, each of the plurality of models are trained using the first subset of records, each of the plurality of models are implemented to predict a value of respective known target columns in each of a second subset of records, respective success rates for each of the plurality of models at predicting the respective known target columns for each of the second subset of records are determined, a first of the plurality of models having a highest success rate is selected, and the first of the plurality of models is implemented to decide a target column of a received authorization request based on predictor columns in the received authorization request.

    Medication verification method and system

    公开(公告)号:US12133833B2

    公开(公告)日:2024-11-05

    申请号:US18386850

    申请日:2023-11-03

    Inventor: Kristine Calvin

    Abstract: A medication dispensing system includes an automated dispensing device that includes cells with electronically activated locks. The device is configured to detect when medication counts in the cells fall below predetermined thresholds. The system further includes a plurality of first electronic devices that are associated with some of the cells and that have imagers. In response to any of the medication counts in the cells being below the predetermined threshold, the automated dispensing device is configured to automatically send a replenishment needed notification to the first electronic device associated with the cell. That first electronic device is configured to transmit a picture of a medication to a second electronic device. In response to a positive verification by a user of the second electronic device that the medication in the picture is the correct medication, the second electronic device is configured to transmit an unlock signal to the automated dispensing device.

    Wearable devices and systems for prescription adherence

    公开(公告)号:US12121363B2

    公开(公告)日:2024-10-22

    申请号:US18242813

    申请日:2023-09-06

    Inventor: Michael Lazo

    CPC classification number: A61B5/4833 A61B5/0022 A61B5/681 A61J7/0409 G16H10/60

    Abstract: A wearable computing device for monitoring and facilitating prescription adherence by a patient is provided. The wearable computing device is in communication with an inventory management server. The wearable computing device includes a processor and a memory. The processor is configured to receive a set of prescription plan data including at least a prescription identifier and a prescription rate associated with the prescription identifier. The processor is further configured to determine an inventory level associated with the prescription identifier. The processor is also configured to determine, based at least on the prescription rate, a time value representing a period of time in which a patient is prescribed to take a pharmaceutical associated with the prescription identifier. The processor is additionally configured to present a prescription inventory indicator representing the inventory level. The processor is also configured to present a timer indicator representing the time value.

    Methods and systems for predicting prescription directions using machine learning algorithm

    公开(公告)号:US12118468B2

    公开(公告)日:2024-10-15

    申请号:US18242098

    申请日:2023-09-05

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

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