System and method of managing an online communication group

    公开(公告)号:US11848905B1

    公开(公告)日:2023-12-19

    申请号:US18228912

    申请日:2023-08-01

    CPC classification number: H04L51/216 H04L51/046 H04L51/222

    Abstract: A system and a method of managing an online communication group. The method includes receiving a list of users and user data. Further, the method includes determining a role of a user from the list of users. Furthermore, a set of users from the list of users is added to the online communication group. Subsequently, the method includes managing the online communication group. The online communication group is managed by adjusting the role of the users based on at least one of a user mode, a user location, and a schedule. Furthermore, the user data is modified based on at least one of the role and an admin recommendation. Subsequently, one or more information databases are linked to the online communication group.

    GENERATING A MEDICAL KNOWLEDGE PACKET IN AN ACTIVE CONVERSATION SESSION

    公开(公告)号:US20250046475A1

    公开(公告)日:2025-02-06

    申请号:US18228932

    申请日:2023-08-01

    Abstract: A system and a method for generating a medical knowledge packet in an active conversation session. The system receives a message associated with a conversation thread. The system determines a context of the message using a machine learning model. Further, one or more medical knowledge packets from one or more sources may be generated based on the message and the context. A confidence score to the medical knowledge packet is assigned based on one or more factors comprising relevance, accuracy, the one or more sources, and recency of the medical knowledge packet. The medical knowledge packet with a highest confidence score is modified by formatting, summarizing, highlighting, cross-referencing, and simplifying by using one or more text analysis algorithms.

    Generating a medical knowledge packet in an active conversation session

    公开(公告)号:US12230408B1

    公开(公告)日:2025-02-18

    申请号:US18228932

    申请日:2023-08-01

    Abstract: A system and a method for generating a medical knowledge packet in an active conversation session. The system receives a message associated with a conversation thread. The system determines a context of the message using a machine learning model. Further, one or more medical knowledge packets from one or more sources may be generated based on the message and the context. A confidence score to the medical knowledge packet is assigned based on one or more factors comprising relevance, accuracy, the one or more sources, and recency of the medical knowledge packet. The medical knowledge packet with a highest confidence score is modified by formatting, summarizing, highlighting, cross-referencing, and simplifying by using one or more text analysis algorithms.

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