Abstract: One or more embodiments relate, generally, to a reusable accessory for a medication injection pen. Such a reusable accessory may be adapted to be reversibly attached to a medication injection pen, and configured to detect an event associated with an injection of medication from the medication injection pen. It may also be configured to determine a percentage of medication that remains active for injection by the medication injection pen based on timing information and dosing event information.

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: 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 monitoring feature, such as, for example, a pen cap, for an insulin delivery device may include at least one circuit adapted to detect at least one of a capping or decapping of the pen cap from an insulin pen and a processor for using information to the at least one of a capping or decapping of the pen cap. A monitoring feature for an insulin delivery device includes at least one circuit adapted to detect use of the insulin delivery device.

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: 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: 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: 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: A method may include delivering insulin, using an insulin pump and a controller, over a first diurnal time period based on a baseline basal insulin rate stored in memory. The controller may receive blood glucose data to control delivery of insulin via the insulin pump in amounts variable from the baseline basal insulin rate to control blood glucose levels for a person with diabetes (PWD). The method may also include modifying the baseline basal insulin rate stored in the memory for a second diurnal time period that is at least 20 hours after the first diurnal period based on an amount of insulin actually delivered during the first diurnal time period.

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: 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: 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. Methods and systems may include locking out automated modification of a baseline basal rate of insulin for the user for the time period after a user provides an insulin delivery amount.

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 receiving and/or determining one or more user specific dosage parameters.

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 delivering insulin, using an insulin pump and a controller, over a first diurnal time period based on a baseline basal insulin rate stored in memory. The controller may receive blood glucose data to control delivery of insulin via the insulin pump in amounts variable from the baseline basal insulin rate to control blood glucose levels for a person with diabetes (PWD). The method may also include modifying the baseline basal insulin rate stored in the memory for a second diurnal time period that is at least 20 hours after the first diurnal period based on an amount of insulin actually delivered during the first diurnal time period.

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 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 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: 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 receiving and/or determining one or more user specific dosage parameters.