Abstract: A computer-based method includes receiving, from a computer-based user interface, user-specified information about one or more events influential on the user's blood glucose level, generating, with a computer-based processor, a plurality of estimated trajectories of the user's blood glucose level as influenced by the one or more events, receiving a set of data that represents actual blood glucose measurements for the user, and identifying, with the computer-based processor, which of the estimated trajectories represents a best fit to the set of data that represents the actual blood glucose measurements for the user. At least some of the actual blood glucose measurements occurred later in time than a start time of the one or more events influential on the user's blood glucose level. A computer-based system is provided for implementing the method.

Abstract: Systems, methods, and devices provide alarms and alerts in an on-body networked diabetes management system. Methods may include receiving glucose sensor data from a continuous glucose monitor and determining a dosage of insulin delivery based at least in part on the glucose sensor data. The method may include detecting an alarm or alert condition, and sending a wireless communication regarding the alarm or alert condition to a remote user-interface device. The method may include triggering an audible, visual, or haptic alarm or alert on the insulin delivery device unless an acknowledgement of the alarm or alert condition is received within a predetermined period of time.

Abstract: An insulin delivery monitoring system that includes an insulin delivery device and a controller configured to perform or control performance of operations. A method of insulin delivery include determining a correction dose of insulin and triggering an alert.

Abstract: One or more embodiments of the disclosure relate, generally, to a pen cap for a manual insulin delivery device. Such a pen cap may include a wireless communication interface, a detection circuit, a user interface, and a processor and memory. The detection circuit may be configured to detect cappings and decappings of the pen cap from a manual insulin delivery device. Timing information and recommendations related to capping and decapping of the pen cap may be presented to a user.

Abstract: Methods, devices, and systems of delivering infusion fluid (e.g., medication such as insulin) can detect, at multiple times during a dispensation period of time, a pressure level of the infusion fluid in an infusion fluid pathway, either directly or indirectly. Based on the detected pressure levels, one or more actual dispensation times that are after an intended dispensation time can be determined. In some cases, methods, devices, and systems provided herein can use variable occlusion alarm thresholds, which can depend on variables such as an age of an infusion set and/or a current analyte level. In some cases, methods, devices, and systems provided herein can automate medication delivery and use the actual dispensation times in a control algorithm determining medication deliveries.

Abstract: One or more embodiments of the disclosure relate, generally, to a diabetes management system. The diabetes management system may include a computing device that is configured to receive data relating to prior insulin use of a user and calculate a sliding scale glucose correction based, at least in part, on the data relating to prior insulin use.

Abstract: A multi-modal medicine delivery system in which some embodiments can be configured to control dispensation of medicine according to any of a plurality of delivery modes, such as by closed-loop delivery modes and open-loop delivery modes, and according to a secondary feedback loop to determine user-specific settings related to dosage delivery.

Abstract: Diabetes management systems include an insulin delivery device and a monitoring device for detecting at least one characteristic relating to the insulin delivery device. Monitoring devices may comprise pen caps.

Abstract: One or more embodiments of the disclosure relate, generally, to a system to assist with manual dosing of insulin. Such a system may include a glucose sensor system, a reusable insulin dosing detector, and a recommendation system. The reusable insulin dosing detector may be configured to be reversibly connectable to a disposable component that may form part of an insulin manual delivery assembly. The reusable insulin dosing detector may be configured to detect insulin delivery associated with the insulin manual delivery assembly. The recommendation system may be configured to analyze blood glucose data and determine adjustments to insulin therapy settings.

Abstract: Systems, methods, and devices provide alarms and alerts in an on-body networked diabetes management system. Methods may include receiving glucose sensor data from a continuous glucose monitor and determining a dosage of insulin delivery based at least in part on the glucose sensor data. The method may include detecting an alarm or alert condition, and sending a wireless communication regarding the alarm or alert condition to a remote user-interface device. The method may include triggering an audible, visual, or haptic alarm or alert on the insulin delivery device unless an acknowledgement of the alarm or alert condition is received within a predetermined period of time.

Abstract: A method of insulin delivery, the method may include obtaining one or more blood glucose readings of a user, and, based on the blood glucose readings, generating a set of insulin delivery actions that may include delivery of a baseline basal rate or predefined variations of the baseline basal rate. The method may also include monitoring previous insulin delivery actions to the user to determine whether the previous insulin delivery actions include insulin beyond a threshold amount, where the previous insulin delivery actions may include delivery of the baseline basal rate or predefined variations of the baseline basal rate, and, based on the previous insulin delivery actions including insulin beyond the threshold amount, adjusting the set of insulin delivery actions.

Abstract: The embodiments described herein may relate to methods and systems for adjusting insulin delivery. Some methods and systems may be configured to adjust insulin delivery to personalize automated insulin delivery for a person with diabetes. Such personalization may include adjusting user specific dosage parameters in response to a user provided insulin delivery amount, including a user provided insulin delivery amount that varies from a recommended insulin delivery amount.

Abstract: A method of insulin delivery, the method may include obtaining one or more blood glucose readings of a user, and, based on the blood glucose readings, generating a set of insulin delivery actions that may include delivery of a baseline basal rate or predefined variations of the baseline basal rate. The method may also include monitoring previous insulin delivery actions to the user to determine whether the previous insulin delivery actions include insulin beyond a threshold amount, where the previous insulin delivery actions may include delivery of the baseline basal rate or predefined variations of the baseline basal rate, and, based on the previous insulin delivery actions including insulin beyond the threshold amount, adjusting the set of insulin delivery actions.

Abstract: A method includes receiving up-to-date blood glucose data for a PWD, determining basal insulin dosages for the PWD based on a baseline basal rate, delivering the basal insulin dosages to the PWD, modifying a target blood glucose level based on variability of blood glucose data for the PWD, receiving a temporary override indicating a user preference to reduce the likelihood that the PWD has a hypoglycemic event or a user preference to reduce the likelihood that the PWD has a hyperglycemic event, determining a temporary target blood glucose level based on the input—greater than the modified blood glucose level if the preference is to reduce the likelihood of a hypoglycemic event—lower than the modified target blood glucose level if the preference is to reduce the likelihood that of a hyperglycemic event. The method includes delivering basal insulin for the temporary period of time based on the temporary target.

Abstract: A method may include displaying to a user an interface at which the user inputs a fear of hypoglycemia index (FHI), the FHI corresponding to an acceptable probability of a blood glucose level being below a threshold blood glucose level. The method may also include receiving blood glucose data for a person with diabetes (PWD). The method may additionally include calculating a probability of the PWD having a blood glucose level below the threshold blood glucose level based on the variability of the received blood glucose data. The method may also include setting one or more target blood glucose levels to align the probability of the PWD having a blood glucose level below the threshold blood glucose level with the acceptable probability associated with the user input FHI. The method may additionally include delivering insulin, using the insulin delivery device, based on the target blood glucose level.

Abstract: A method may include displaying at least three icons on a user interface of a mobile device, including a first icon associated with the at least three icons associated with a first carbohydrate level, a second icon associated with the at least three icons associated with a second carbohydrate level, and a third icon associated with the at least three icons associated with a third carbohydrate level. The method may also include receiving a user selection of one of the three icons through the user interface of the mobile device, and determining an insulin bolus level from the user selection. The method may also include communicating the insulin bolus level to an insulin delivery device.

Abstract: One or more embodiments of the disclosure relate, generally, to a system to assist with manual dosing of insulin. Such a system may include a glucose sensor system, a reusable insulin dosing detector, and a recommendation system. The reusable insulin dosing detector may be configured to be reversibly connectable to a disposable component that may form part of an insulin manual delivery assembly. The reusable insulin dosing detector may be configured to detect insulin delivery associated with the insulin manual delivery assembly. The recommendation system may be configured to analyze blood glucose data and determine adjustments to insulin therapy settings.

Abstract: One or more embodiments of the disclosure relate, generally, to a diabetes management system. Such a diabetes management system may include a flash glucose monitor and a user interface. The user interface may be configured to display one or more of graphical representations of glucose values and value representative of glucose measurements, and to change values displayed responsive to user interaction with the user interface.

Abstract: One or more embodiments of the disclosure relate, generally, to a diabetes management system. The diabetes management system may include a computing device that is configured to receive data relating to prior insulin use of a user and calculate a sliding scale glucose correction based, at least in part, on the data relating to prior insulin use.