Abstract: Improved digital interfaces, graphical user interfaces, and alarms for analyte monitoring systems are provided. For example, disclosed herein are various embodiments of methods, systems, and interfaces for signal loss condition determination, Time-in-Ranges interfaces, GMI metrics, urgent low glucose alarms, alarm suppression features, alarm setup interfaces, and alarm unavailability detection features. In addition, various embodiments of interfaces for alarm logging and compatibility checking of an analyte monitoring software application are described. Also, various embodiments of interface enhancements are described, including an enhanced visibility mode, a voice accessibility mode, additional interfaces relating to user privacy, as well as caregiver alarms, among other embodiments.

Abstract: Digital and graphical user interfaces for third party analyte monitoring applications are provided. For example, disclosed herein are various embodiments of methods, systems, and interfaces for connection interfaces, alarm notification settings interfaces, and logbook interfaces in a third party analyte monitoring application. In addition, various embodiments of interface enhancements are described, including enhanced visibility mode and interfaces for setting up a third party analyte monitoring application, among other embodiments.

Abstract: Systems, devices, and methods for detecting, measuring and classifying meals for an individual based on analyte measurements. These results and related information can be presented to the individual to show the individual which meals are causing the most severe analyte response. These results can be organized and categorized based on preselected criteria or previous meals and results so as to organize and present the results in a format with reference to glucose as the monitored analyte. Various embodiments disclosed herein relate to methods, systems, and software applications intended to engage an individual by providing direct and timely feedback regarding the individual's meal-related glycemic response.

Abstract: Systems, devices, and methods for detecting, measuring and classifying meals for an individual based on analyte measurements. These results and related information can be presented to the individual to show the individual which meals are causing the most severe analyte response. These results can be organized and categorized based on preselected criteria or previous meals and results so as to organize and present the results in a format with reference to glucose as the monitored analyte. Various embodiments disclosed herein relate to methods, systems, and software applications intended to engage an individual by providing direct and timely feedback regarding the individual's meal-related glycemic response.