Abstract: The detection of various analytes within an individual can sometimes be vital for monitoring the condition of their health. Deviation from normal analyte levels can be indicative of a number of physiological conditions. Improved computing devices that allow a user to input data about the sensor user's lifestyle and a user to access an event log associated with an analyte monitoring sensor may be beneficial.

Abstract: Analyte monitoring systems, devices, and methods associated with analyte monitoring devices, and devices incorporating the same are provided. Various graphical user interfaces (GUI) and navigation flows are provided for performing various features, activities, functions, etc., associated with the analyte monitoring device or system. Intuitive navigation is provided to enhance the interpretation of analyte measurements.

Abstract: Systems and processes for managing data relating to one or more medical or biological conditions of a plurality of subjects (such as patients) over a wide area network, such as the Internet, may be employed for diabetes subjects or subjects with other medical conditions requiring monitoring and/or treatment over time. Such systems and processes provide various functions for several types of users, including patients or subject-users, healthcare provider-users and payor entity-users and combinations thereof, which allow for improved treatment and medical data management of individual subjects and groups of subjects and which allow collection and analysis of aggregate data from many subject sources, for improving overall healthcare practices of providers and subjects (e.g., patients).

Abstract: Analyte monitoring systems, devices, and methods associated with analyte monitoring devices, and devices incorporating the same are provided. Various graphical user interfaces (GUI) and navigation flows are provided for performing various features, activities, functions, etc., associated with the analyte monitoring device or system. Intuitive navigation is provided to enhance the interpretation of analyte measurements.

Abstract: The present invention relates generally to dynamic and/or adjustable support devices, methods of providing dynamic and/or adjustable support to target tissues, and kits comprising these devices. These devices may have particular utility in providing support to the urethra. The dynamic support devices generally comprise at least one attachment member for attachment to bodily tissue, and at least one expandable member capable of assuming an unexpanded configuration and an expanded configuration. The adjustable support devices generally comprise at least one attachment member for attachment to bodily tissue, and at least one shape-changing portion that is capable of assuming first and second configurations, each with different shapes. Additionally, the dynamic support devices may comprise features of the adjustable support devices, and vice versa.

Abstract: Systems and processes for managing data relating to one or more medical or biological conditions of a plurality of subjects (such as patients) over a wide area network, such as the Internet, may be employed for diabetes subjects or subjects with other medical conditions requiring monitoring and/or treatment over time. Such systems and processes provide various functions for several types of users, including patients or subject-users, healthcare provider-users and payor entity-users and combinations thereof, which allow for improved treatment and medical data management of individual subjects and groups of subjects and which allow collection and analysis of aggregate data from many subject sources, for improving overall healthcare practices of providers and subjects (e.g., patients).

Abstract: Analyte monitoring systems, devices, and methods associated with analyte monitoring devices, and devices incorporating the same are provided. Various graphical user interfaces (GUI) and navigation flows are provided for performing various features, activities, functions, etc., associated with the analyte monitoring device or system. Intuitive navigation is provided to enhance the interpretation of analyte measurements.

Abstract: Systems and processes for managing data relating to one or more medical or biological conditions of a plurality of subjects (such as patients) over a wide area network, such as the Internet, may be employed for diabetes subjects or subjects with other medical conditions requiring monitoring and/or treatment over time. Such systems and processes provide various functions for several types of users, including patients or subject-users, healthcare provider-users and payor entity-users and combinations thereof, which allow for improved treatment and medical data management of individual subjects and groups of subjects and which allow collection and analysis of aggregate data from many subject sources, for improving overall healthcare practices of providers and subjects (e.g., patients).

Abstract: Provided herein are systems and associated devices configured to capture biometric patient data; e.g., blood glucose data; transmit such data to a location-independent “cloud”, the Internet, or other shared server system, hereinafter referred to as “the Cloud”; and provide automated data-based algorithms to analyze data and deliver therapy recommendations, related output, and/or therapy recommendation decision support to one or more authorized stakeholders.

Abstract: Presented herein is a modular analyte measurement system. The analyte measurement system includes an analyte meter and at least one modular attachment. In one embodiment, a modular attachment is provided to communicate with, and transmit/receive data from, one or more medication delivery device. Embodiments of the present invention relate to modular components of the analyte measurement system.

Abstract: Systems and processes for managing data relating to one or more medical or biological conditions of a plurality of subjects (such as patients) over a wide area network, such as the Internet, may be employed for diabetes subjects or subjects with other medical conditions requiring monitoring and/or treatment over time. Such systems and processes provide various functions for several types of users, including patients or subject-users, healthcare provider-users and payor entity-users and combinations thereof, which allow for improved treatment and medical data management of individual subjects and groups of subjects and which allow collection and analysis of aggregate data from many subject sources, for improving overall healthcare practices of providers and subjects (e.g., patients).

Abstract: Analyte monitoring systems, devices, and methods associated with analyte monitoring devices, and devices incorporating the same are provided. Various graphical user interfaces (GUI) and navigation flows are provided for performing various features, activities, functions, etc., associated with the analyte monitoring device or system. Intuitive navigation is provided to enhance the interpretation of analyte measurements.

Abstract: Systems and processes for managing data relating to one or more medical or biological conditions of a plurality of subjects (such as patients) over a wide area network, such as the Internet, may be employed for diabetes subjects or subjects with other medical conditions requiring monitoring and/or treatment over time. Such systems and processes provide various functions for several types of users, including patients or subject-users, healthcare provider-users and payor entity-users and combinations thereof, which allow for improved treatment and medical data management of individual subjects and groups of subjects and which allow collection and analysis of aggregate data from many subject sources, for improving overall healthcare practices of providers and subjects (e.g., patients).

Abstract: A diabetes data management system selects variable parameters and one or more devices with data that are utilized in a report. The diabetes data management system analyzes data during a selected period. The system generates reports which highlight data from one or more device during the selected period including carbohydrate, insulin, and glucose data, reports which highlight data around and during meal events and other user-defined events, reports which overlay multiple data based on time of day and other factors, and automatically prepared logbook reports.