Abstract: Presented herein is a handheld analyte measurement device. The analyte measurement device includes one or more software applications to help the user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with the handheld analyte measurement device.

Abstract: A glucose monitoring system comprising a sensor control device comprising an analyte sensor coupled with sensor electronics, the sensor control device configured to transmit data indicative of an analyte level of a subject, and a reader device.

Abstract: A glucose monitoring system includes a sensor control device comprising an analyte sensor coupled with sensor electronics, the sensor control device configured to transmit data indicative of an analyte level, and a reader device comprising a wireless communication circuitry configured to receive the data indicative of the analyte level, and one or more processors coupled with a memory.

Abstract: A system and method to provide guidance for diabetes therapy includes determining glycemic risks based on an analysis of glucose data. The analysis includes visualization of a glucose median, the variability of glucose in a patient, and the risk of hypoglycemia. An Advanced Daily Patterns report includes a visualization of an ambulatory glucose profile and a glucose control measure. The glucose control measure provides a highly visible and understandable display of the glucose condition of a patient visually expressed in the categories of low glucose, median glucose, and glucose variability.

Abstract: A system and method to provide guidance for diabetes therapy includes determining glycemic risks based on an analysis of glucose data. The analysis includes visualization of a glucose median, the variability of glucose in a patient, and the risk of hypoglycemia. An Advanced Daily Patterns report includes a visualization of an ambulatory glucose profile and a glucose control measure. The glucose control measure provides a highly visible and understandable display of the glucose condition of a patient visually expressed in the categories of low glucose, median glucose, and glucose variability.

Abstract: Methods, devices, and systems may use a kinetic model to determine physiological parameters related to the kinetics of red blood cell glycation, elimination, and generation. Such physiological parameters can be used, for example, to determine a more reliable calculated HbA1c. In another example, a method may comprise: receiving a plurality of glucose levels over a time period; receiving a glycated hemoglobin (HbA1c) level corresponding to an end of the time period; determining at least one physiological parameter selected from the group consisting of: a red blood cell glycation rate constant (kgly), a red blood cell generation rate constant (kgen), a red blood cell elimination constant (kage), and an apparent glycation constant (K), based on (1) the plurality of glucose levels and (2) the HbA1c level; and adjusting a glucose level target based on the at least one physiological parameter.

Abstract: Presented herein is a handheld analyte measurement device. The analyte measurement device includes one or more software applications to help the user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with the handheld analyte measurement device.

Abstract: A system and method to provide guidance for diabetes therapy includes determining glycemic risks based on an analysis of glucose data. The analysis includes visualization of a glucose median, the variability of glucose in a patient, and the risk of hypoglycemia. An Advanced Daily Patterns report includes a visualization of an ambulatory glucose profile and a glucose control measure. The glucose control measure provides a highly visible and understandable display of the glucose condition of a patient visually expressed in the categories of low glucose, median glucose, and glucose variability.

Abstract: A glucose monitoring system includes a sensor control device comprising an analyte sensor coupled with sensor electronics, the sensor control device configured to transmit data indicative of an analyte level, and a reader device comprising a wireless communication circuitry configured to receive the data indicative of the analyte level, and one or more processors coupled with a memory.

Abstract: Methods, devices, and systems may use a kinetic model to determine physiological parameters related to the kinetics of red blood cell glycation, elimination, and generation. Such physiological parameters can be used, for example, to determine a more reliable calculated HbA1c. In another example, a method may comprise: receiving a plurality of glucose levels over a time period; receiving a glycated hemoglobin (HbA1c) level corresponding to an end of the time period; determining at least one physiological parameter selected from the group consisting of: a red blood cell glycation rate constant (kgly), a red blood cell generation rate constant (kgen), a red blood cell elimination constant (kage), and an apparent glycation constant (K), based on (1) the plurality of glucose levels and (2) the HbA1c level; and adjusting a glucose level target based on the at least one physiological parameter.

Abstract: A system and method provides a glucose report for determining glycemic risk based on an ambulatory glucose profile of glucose data over a time period, a glucose control assessment based on median and variability of glucose, and indicators of high glucose variability. Time of day periods are shown at which glucose levels can be seen. A median glucose goal and a low glucose line provide coupled with glucose variability provide a view into effects that raising or lowering the median goal would have. Likelihood of low glucose, median glucose compared to goal, and variability of glucose below median provide probabilities based on glucose data. Patterns can be seen and provide guidance for treatment.

Abstract: A system and method provides a glucose report for determining glycemic risk based on an ambulatory glucose profile of glucose data over a time period, a glucose control assessment based on median and variability of glucose, and indicators of high glucose variability. Time of day periods are shown at which glucose levels can be seen. A median glucose goal and a low glucose line provide coupled with glucose variability provide a view into effects that raising or lowering the median goal would have. Likelihood of low glucose, median glucose compared to goal, and variability of glucose below median provide probabilities based on glucose data. Patterns can be seen and provide guidance for treatment.

Abstract: Generally, methods of analyte monitoring management, and articles of manufacturing related thereto, are provided. The methods include receiving analyte measurement data and analyzing the analyte measurement data for health related parameters. Recommendations are determined for creating or modifying a treatment program based on the analysis, and provided within a user-interface that enables a user to create or modify the treatment program. Further, generally, methods of for managing analyte measurement data, and articles of manufacturing related thereto, are provided. The methods include receiving analyte measurement data that represent data collected over a time period, and analyzing the analyte measurement data for analyte episodes within that time period. Threshold based episodes and/or rate-of-change based episodes may be determined.

Abstract: Generally, methods of analyte monitoring management, and articles of manufacturing related thereto, are provided. The methods include receiving analyte measurement data and analyzing the analyte measurement data for health related parameters. Recommendations are determined for creating or modifying a treatment program based on the analysis, and provided within a user-interface that enables a user to create or modify the treatment program. Further, generally, methods of for managing analyte measurement data, and articles of manufacturing related thereto, are provided. The methods include receiving analyte measurement data that represent data collected over a time period, and analyzing the analyte measurement data for analyte episodes within that time period. Threshold based episodes and/or rate-of-change based episodes may be determined.

Abstract: A method of providing personalized treatment for a diabetes patient including a remote device which is configured to receive a first data indicative of an analyte level of a subject during a first time period, retrieve a first glycated hemoglobin level for the subject associated with the first time period, calculate a first personal apparent glycation ratio for the first time period using the received first data and the retrieved first glycated hemoglobin level, compare the calculated first personal apparent glycation ratio to a representative apparent glycation ratio, generate a recommendation based on the comparison, and display a graphical interface comprising the calculated first personal apparent glycation ratio, the representative apparent glycation ratio, and the comparison.

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: Physiological parameters that related to the kinetics of red blood cell hemoglobin glycation, red blood cell elimination, and red blood cell generation within the body of a subject can be used, for example, to calculate a more reliable calculated HbA1c (cHbA1c), adjusted HbA1c (aHbA1c), and/or a personalized target glucose range, among other things, for subject-personalized diagnoses, treatments, and/or monitoring protocols. Such physiological parameters may be determined using a model that considers cross-membrane glucose transport and glycation.