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.

    Product order dosing filler systems and related methods

    公开(公告)号:US11837347B2

    公开(公告)日:2023-12-05

    申请号:US17892673

    申请日:2022-08-22

    CPC classification number: G16H20/13 B65G1/1371 G06K7/1413

    Abstract: A method may include filling an order of a plurality of orders with a dosing filler system. The method may include receiving pharmaceutical orders including order for drugs used in multi-drug regimens using an order processing device. Each of the multi-drug regimen may have a plurality of scheduled dosing events. The method may include transporting containers to a dosing device, using the dosing device to dispense drugs for scheduled dosing events into the containers based on the received pharmaceutical orders, transporting the containers with the dispensed drugs to the container sealing device, using the container sealing device to seal the plurality of the containers with the dispensed drugs, transporting the dosage unit containers to the container identifier assembly, and using the container identifier assembly to identify the dosage unit containers based on the received pharmaceutical order.

    TEMPERATURE-RESPONSIVE PACKAGING FOR DRUG SHIPPING

    公开(公告)号:US20230385749A1

    公开(公告)日:2023-11-30

    申请号:US18234033

    申请日:2023-08-15

    CPC classification number: G06Q10/0832 G06Q10/0833

    Abstract: A mail-order drug delivery system includes an order processing device configured to determine a first shipping mode and a corresponding first shipping carrier, generate an expected shipping duration associated with delivery of a drug, determine an origin forecasted temperature, determine a destination forecasted temperature, associate a shipping container with the drug to contain the drug, access temperature model data associated with the shipping container; and determine a predicted temperature of the drug at the shipping destination. The determination is based on forecasted temperatures, the expected shipping duration, the temperature model data, a next pickup time, a storage location of the drug, and a time difference between packing and the next pickup time. The system includes a packing device configured to receive the drug from a transport mechanism and selectively package the drug within the shipping container in response to the predicted temperature meeting a temperature-related storage requirement of the drug.

    SYSTEMS AND METHODS FOR PHARMACEUTICAL CONTAINER PROCESSING

    公开(公告)号:US20230382588A1

    公开(公告)日:2023-11-30

    申请号:US18232944

    申请日:2023-08-11

    CPC classification number: B65B69/0033

    Abstract: A pharmaceutical extractor and associated components and methods for removing pharmaceuticals from a plurality of containers. The extractor includes a plurality of holders. Each holder is configured to hold at least one container of the plurality of containers. Each holder is repeatedly cycled through a series of container operation locations of the pharmaceutical extractor. In the series of container operation locations, the holders receive containers, the containers are cut to form pharmaceutical outlets in the containers, pharmaceuticals are moved out of the pharmaceutical outlets, and empty containers are dropped by the holders.

    SYSTEMS AND METHODS FOR CONTROLLING DATA WORKFLOW

    公开(公告)号:US20230352129A1

    公开(公告)日:2023-11-02

    申请号:US18220872

    申请日:2023-07-12

    CPC classification number: G16H10/60 G06Q10/10

    Abstract: A method includes receiving a data access request at a computing system. The data access request is for completion of a first data processing task using the computing system. The method also includes accessing a plurality of first document types associated with a plurality of data processing tasks that include the first data processing task. The plurality of first document types indicates which of various subsets of data are required to complete the plurality of data processing tasks. The method also includes accessing a plurality of second document types that indicate assignments of the plurality of data processing tasks to a plurality of system requestors that includes the first system requestor, and executing the first data processing task based on the plurality of first document types and the plurality of second document types.

    TARGETED MEDICAL INTERVENTION SYSTEM
    47.
    发明公开

    公开(公告)号:US20230317281A1

    公开(公告)日:2023-10-05

    申请号:US17712346

    申请日:2022-04-04

    CPC classification number: G16H50/20 G16H10/60 G16H40/67

    Abstract: Targeted medical intervention system comprises a processor that performs operations comprising selecting target user and generating targeted subset from population of users. To generate the targeted subset, the processor, compares each of the medical claim histories of the population of users to the target medical claim history based on similarity, frequency, and recency; generates a similarity score, a frequency score, and a recency score for each of the plurality of users; and selects the users to be included in the targeted subset based on the similarity score, the frequency score, and the recency score. The processor then monitors, for a period of time, the target medical claim history in comparison with medical claim histories to detect an anomaly in the target medical claim history; and causes an electronic communication to be displayed by a client device that comprises initiation of an intervention to be performed. Other embodiments are disclosed herein.

    Systems and methods for pharmaceutical container processing

    公开(公告)号:US11772838B1

    公开(公告)日:2023-10-03

    申请号:US16564033

    申请日:2019-09-09

    CPC classification number: B65B69/0033

    Abstract: A pharmaceutical extractor and associated components and methods for removing pharmaceuticals from a plurality of containers. The extractor includes a plurality of holders. Each holder is configured to hold at least one container of the plurality of containers. Each holder is repeatedly cycled through a series of container operation locations of the pharmaceutical extractor. In the series of container operation locations, the holders receive containers, the containers are cut to form pharmaceutical outlets in the containers, pharmaceuticals are moved out of the pharmaceutical outlets, and empty containers are dropped by the holders.

    ADAPTIVE MODEL TRANSFORMATION IN MULTI-TENANT ENVIRONMENT

    公开(公告)号:US20230289344A1

    公开(公告)日:2023-09-14

    申请号:US17691693

    申请日:2022-03-10

    Abstract: A query processing method includes receiving a query from a requestor. The query is directed to a first data model specifying multiple base data fields. The method includes determining a set of extension bindings for the first data model based on the query. Each binding specifies an extension to the first data model from a set of model extensions and specifies one of the base data fields of the first data model as a node at which the extension is added. The method includes generating a data object from base data values and extension data values according to an extended data model. The extended data model is defined by the first data model extended by, for each binding of the set, adding data fields from the specified extension to the first data model at the specified node. The method includes returning the data object to the requestor.

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