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    METHODS AND SYSTEMS FOR REDISTRIBUTING MEDICATION
    4.
    发明公开
    METHODS AND SYSTEMS FOR REDISTRIBUTING MEDICATION 审中-公开

    公开(公告)号：US20240355441A1

    公开(公告)日：2024-10-24

    申请号：US18137692

    申请日：2023-04-21

    申请人： Phil Baker

    发明人： Phil Baker

    IPC分类号： G16H20/10 ,  G16H10/60

    CPC分类号： G16H20/10 ,  G16H10/60 ,  A61J7/0076

    摘要： A system for redistributing medication including a computing device configured to receive a communication regarding a medication donation from a donor, wherein the communication includes donor medication information regarding the medication donation. The computing device further configured to verify the medication donation including verifying the identity of the donated medication. Verifying the identity of the donated medication includes collecting actual medication information. The computing device also configured to enter final medication information corresponding to the medication donation into the medication database. The computing device configured to match the donated medication to a recipient selected from a recipient database as a function of a set of associated recipient data.

    Model-based patient adherence classification and intervention
    5.
    发明授权
    Model-based patient adherence classification and intervention 有权

    公开(公告)号：US12124973B1

    公开(公告)日：2024-10-22

    申请号：US16583827

    申请日：2019-09-26

    申请人： WALGREEN CO.

    发明人： Youbei Lou ,  Erik Groves ,  Evie Makris ,  Alexandra Broadus

    IPC分类号： G06N20/00 ,  G06N5/046 ,  G16H10/60 ,  G16H20/10 ,  G16H50/30 ,  H04L67/10

    CPC分类号： G06N5/046 ,  G06N20/00 ,  G16H10/60 ,  G16H20/10 ,  G16H50/30 ,  H04L67/10

    摘要： Systems and methods for using predictive modeling to improve patient adherence to prescription medication regimens are provided. Training data may be generated using historical prescription adherence data associated with a patient population. A prescription adherence machine learning model may be trained using the training data, and the trained model may be applied to current prescription adherence data associated with a patient to predict a likelihood that a proportion of days that the patient will be covered by a prescribed medication will be below a threshold value over a calendar year. A patient risk score may be generated for the patient based at least in part on the predicted likelihood that the proportion of days covered by the prescribed medication will be below the threshold value. Based on the patient's patient risk score, the patient may be automatically contacted for intervention.

    Systems and methods for prescription management
    7.
    发明授权
    Systems and methods for prescription management 有权

    公开(公告)号：US12119098B2

    公开(公告)日：2024-10-15

    申请号：US18295279

    申请日：2023-04-04

    申请人： Milo Health, Inc.

    发明人： Robert Max Siegel

    IPC分类号： G06Q30/00 ,  G06Q30/0283 ,  G06Q30/0601 ,  G16H20/10 ,  G16H40/63

    CPC分类号： G16H20/10 ,  G06Q30/0283 ,  G06Q30/0613 ,  G06Q30/0639 ,  G16H40/63

    摘要： Systems and methods are disclosed for interacting with a prescription submission system, a cloud computing system, and a prescription processing system to transmit prescriptions to an optimal pharmacy based on user information. User information, a location, and a prescription including a treatment e.g., medicine) may be received from a user or a health care professional. A plurality of pharmacies may be identified based at least on availability of the treatment, each of the plurality of pharmacies meeting a location criterion based on the location. Treatment pricing may be identified for each of the identified plurality of pharmacies. The plurality of pharmacies and the corresponding pricing information may be transmitted to a computing device. A selected pharmacy from the plurality of pharmacies may be received, from the computing device, and, the prescription may be transmitted to be received at the selected pharmacy's prescription processing system.