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: 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: 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: Systems, devices, and methods are provided that allow the authentication of devices within analyte monitoring systems. The analyte monitoring systems can be in vivo systems and can include a sensor control device with a sensor and accompanying circuitry, as well as a reader device for communicating with the sensor control device. The analyte monitoring systems can interface with a trusted computer system located at a remote site. Numerous techniques of authentication are disclosed that can enable the detection of counterfeit components, such as a counterfeit sensor control device.

Abstract: Systems, devices, and methods are provided for the control of interfacing between applications that facilitate the monitoring of diabetes running on a mobile device, including the authentication of a third party user interface application by a sensor interface application. Control of the display of current analyte levels and critical events is also provided.

Abstract: Systems for the delivery of insulin to a patient, the system comprising: a continuous glucose sensor configured to provide a glucose level signal representative of sensed glucose; an insulin delivery device configured to deliver insulin in response to delivery control signals at a basal rate and as a bolus; and a controller programmed to receive the sensor glucose level signal and to provide a delivery control signal to an insulin delivery device to suspend a basal delivery rate during the provision of a bolus delivery and to automatically resume a preprogrammed basal delivery rate after a selected event.

Abstract: Systems comprising: an analyte sensor for providing an analyte signal representative of an analyte level; a controller in data communication with the analyte sensor and programmed to provide a recommended medication dose based on the analyte level and a medication type, the controller comprising a user interface for inputting the medication type; and a model-based safety mechanism integrated with the controller for evaluating the recommended medication dose. Wherein the model-based safety mechanism overrides the recommended medication dose and provides a safety medication dose when the model-based safety mechanism detects a risk of insulin deprivation.

Abstract: Systems, devices, and methods are provided that allow the authentication of devices within analyte monitoring systems. The analyte monitoring systems can be in vivo systems and can include a sensor control device with a sensor and accompanying circuitry, as well as a reader device for communicating with the sensor control device. The analyte monitoring systems can interface with a trusted computer system located at a remote site. Numerous techniques of authentication are disclosed that can enable the detection of counterfeit components, such as a counterfeit sensor control device.

Abstract: Systems, devices, and methods are provided that allow detection of episodes in analyte measurement, prompting a patient to self-report possible causes for the episodes. Correlation of possible causes with detected episodes assists patient behavior modification to reduce the occurrence of episodes.

Abstract: Systems, devices, and methods are provided that allow detection of episodes in analyte measurement, prompting a patient to self-report possible causes for the episodes. Correlation of possible causes with detected episodes assists patient behavior modification to reduce the occurrence of episodes.

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: 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.

Abstract: Systems comprising: an analyte sensor for providing an analyte signal representative of an analyte level; a controller in data communication with the analyte sensor and programmed to provide a recommended medication dose based on the analyte level and a medication type, the controller comprising a user interface for inputting the medication type; and a model-based safety mechanism integrated with the controller for evaluating the recommended medication dose. Wherein the model-based safety mechanism overrides the recommended medication dose and provides a safety medication dose when the model-based safety mechanism detects a risk of insulin deprivation.

Abstract: Safety features are applied to an integrated insulin delivery system to enhance safety by controlling medication delivery including the automatic resumption of basal rate after a particular event, such as termination of a bolus, expiration of a time period, delayed resumption after the bolus has terminated, IOB comparison, and others. Other safety features include overriding a delivery control that may result in hypoglycemia, and terminating an extended bolus or temporary basal rate in view of a glucose signal indicating imminent carbohydrate deficiency. In another feature, an automatic resumption of a basal delivery rate is programmed into the delivery device to avoid the possibility of complete loss of delivery of insulin in the event that communication with the delivery device is disrupted.

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: Systems, devices, and methods are provided for the control of interfacing between applications that facilitate the monitoring of diabetes running on a mobile device, including the authentication of a third party user interface application by a sensor interface application. Control of the display of current analyte levels and critical events is also provided.