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

    申请人: WALGREEN CO.

    IPC分类号: G16H20/10 G06N20/00 G06Q20/08

    摘要: 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

    申请人: WALGREEN CO.

    摘要: 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

    申请人: WALGREEN CO.

    发明人: Benjamin Weiss

    摘要: 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.