Artificial intelligence based systems and methods configured to implement patient-specific medical adherence intervention

    公开(公告)号:US12205694B2

    公开(公告)日:2025-01-21

    申请号:US16792750

    申请日:2020-02-17

    Applicant: WALGREEN CO.

    Abstract: Artificial Intelligence (AI) based systems and methods are disclosed for implementing patient-specific medical adherence intervention. An AI model is trained on a first set of data comprising (1) patient data defining a plurality of medical patients having respective prescribed medications and (2) intervention communication data. During a first iteration of a medication adherence session, a second set of data comprising patient data of a new or existing medical patient is received and input by the AI model to generate a medical adherence intervention prediction defining at least a preferred intervention channel specific to the new or existing medical patient. An electronic medical adherence intervention communication, is generated, and related correspondence is sent, to the new or existing medical patient based on (1) the medical adherence intervention prediction and (2) an intervention template corresponding to the preferred intervention channel.

    Apparatuses, systems, and methods for reducing return of prescriptions to stock

    公开(公告)号:US12148524B1

    公开(公告)日:2024-11-19

    申请号:US18135005

    申请日:2023-04-14

    Applicant: WALGREEN CO.

    Abstract: Apparatuses, systems, and methods are provided for reducing return of prescriptions to stock. The apparatuses, systems and methods provide for one or more processors to: (1) store pharmacy prescription information in a standardized pharmacy format; (2) receive updated information in a non-standardized electronic prescription format for a prescription of a patient; (3) receive patient health record data; (4) generate prescription return to stock prediction data that indicates a probability the prescription of the patient would be returned to stock based upon the electronic prescription data, the patient health record data, and a predictive model; (5) convert the electronic prescription data and the prescription return to stock prediction data to pharmacy prescription information; and (6) generate a pharmacy prescription in a standardized format based on the updated pharmacy prescription information.

    Coupon clearinghouse with blockchain

    公开(公告)号:US12136102B1

    公开(公告)日:2024-11-05

    申请号:US17545238

    申请日:2021-12-08

    Applicant: WALGREEN CO.

    Inventor: Benjamin Weiss

    Abstract: Systems and methods are disclosed for manipulating and accessing a blockchain containing coupon authentication information for coupon processing services to process a coupon maintained by a network of nodes including a first node and a second node. A method may include generating, by the first node, a first coupon transaction that includes a smart coupon contract and broadcasting the first coupon transaction to the second node communicatively coupled to the network. The second node is configured to apply a set of consensus rules to validate the smart coupon contract included in the first coupon transaction prior to adding the first coupon transaction onto the blockchain, causing any one of the network of nodes to execute the smart coupon contract against input data after the first coupon transaction is validated and added onto the blockchain.

    MACHINE LEARNING SYSTEM FOR IRREVOCABLE PATIENT OUT-OF-POCKET COSTS FOR PRESCRIPTIONS

    公开(公告)号:US20240221888A1

    公开(公告)日:2024-07-04

    申请号:US18604471

    申请日:2024-03-13

    Applicant: WALGREEN CO.

    CPC classification number: G16H20/10 G06N20/00 G06Q20/0855

    Abstract: Techniques for generating an irrevocable or guaranteed out-of-pocket (OOP) cost for a patient's prescription prior to the patient submitting the prescription for processing and filling by an enterprise include receiving a request for the OOP cost, obtaining current information corresponding to the patient, and determining the irrevocable OOP cost of the prescription based on the current patient information, one or more constraints set by the enterprise for a given time interval and associated with OOP prescription costs, and changes to characteristic(s) of the patient and/or occurrences of external condition(s) predicted to occur during the given time interval. The irrevocable OOP cost may be charged to the patient for the prescription irrespective of any amount which is provided by the patient's insurance provider to cover the cost of the prescription. The techniques may utilize a set of specially-trained irrevocable OOP cost machine learning models to determine the irrevocable OOP prescription cost.

    SYSTEM AND METHOD FOR DISPLAYING DYNAMIC PHARMACY INFORMATION ON A GRAPHICAL USER INTERFACE

    公开(公告)号:US20240127322A1

    公开(公告)日:2024-04-18

    申请号:US18391903

    申请日:2023-12-21

    Applicant: WALGREEN CO.

    CPC classification number: G06Q30/0639 G06N20/00 G06Q30/0643 G16H20/10

    Abstract: The following relates generally to pharmacy and/or merchandise pickup location selection. In some embodiments, factors are used to determine a pharmacy and/or merchandise pickup location selection for an individual. In this regard, the factors may include: whether the pharmacy and/or merchandise pickup location has a medication in stock; wait time at the pharmacy and/or merchandise pickup location; geographic distance to the individual; travel time from the location of the individual; urgency of filling a prescription; price of a prescription; whether another product or class of products available at the pharmacy and/or merchandise pickup location; and/or whether a locker is available at the pharmacy and/or merchandise pickup location. In some embodiments, Artificial Intelligence (AI) is used to create a model of pharmacy and/or merchandise pickup location selection for the individual.

    Technology for managing location-based functionalities for electronic devices

    公开(公告)号:US11843989B1

    公开(公告)日:2023-12-12

    申请号:US17855381

    申请日:2022-06-30

    Applicant: WALGREEN CO.

    Inventor: Benjamin Weiss

    CPC classification number: H04W4/022 G06Q30/0601 H04W4/23

    Abstract: Systems and methods for managing and facilitating geofencing features associated with electronic devices are disclosed. According to certain aspects, an entity may own or manage a set of retail stores. A server associated with the entity may receive an estimated location of an electronic device, and may determine that the estimated location is in proximity to one of the set of retail stores. The server may further calculate a geofencing boundary for the retail store based on certain location-based data, and may determine whether the estimated location of the electronic device is within the geofencing boundary. The server may additionally facilitate certain geofencing features based on the determination.

Patent Agency Ranking