Abstract: Methods of insulin delivery may include obtaining one or more blood glucose readings from a flash glucose monitor, where the blood glucose readings may be obtained in response to a user invocation of the flash glucose monitor. The method may also include generating multiple insulin delivery profiles of insulin delivery actions over multiple diurnal time segments based on the one or more blood glucose readings. The method may additionally include selecting one of the delivery profiles that is projected to approximate a target blood glucose level, and delivering insulin according to the selected delivery profile. Systems may provide such insulin delivery.

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 one or more back-filled time segments associated with a diurnal time block.

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 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: 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 present disclosure may include an insulin delivery system that includes an insulin delivery device, a user interface that includes multiple user-selectable icons or buttons each representing different meal characteristics, memory to store one or more user-specific dosage parameter, and a processor in communication with the memory and adapted to receive blood glucose data. The processor may also be adapted to determine initial meal characteristics associated with each of the user-selectable icons or buttons based on at least one of the user-specific dosage parameters. The processor may also be adapted to update the meal characteristics associated with each of the user-selectable icons or buttons based upon the blood glucose data.

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: A method may include obtaining blood glucose level readings over a diurnal period for each of a plurality of days and determining an estimated variability of the blood glucose levels over the diurnal period for the plurality of days. The method may also include modifying, based on the estimated variability of the blood glucose level, a target blood glucose level to a modified target blood glucose level, and delivering insulin, using an insulin pump, during the diurnal period based on the modified target blood glucose level.

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: 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: 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 generating a first plurality of insulin delivery profiles that include a first series of insulin delivery actions spanning a first time interval, projecting a first plurality of future blood glucose values for each profile of the first plurality of profiles using up-to-date blood glucose levels, selecting one of the first plurality of profiles based upon comparing future blood glucose values for each profile and target blood glucose levels, delivering insulin for a second time interval that corresponds to a first action of the first profile, generating a second plurality of insulin delivery profiles for a third time interval, projecting a second plurality of future blood glucose values for each profile of the second plurality of profiles for the third time interval, and delivering a second dose of insulin for a fourth time interval shorter than the third time interval.

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 diabetes management system including a pump for dispensing a medicant and a control device for controlling the pump includes a user interface for controlling functions of the pump and providing information related to operation of the pump and other information. The user interface can display blood glucose information and insulin dosing data such that a user can appropriately act on the information and/or gain confidence that the diabetes management system is operating appropriately to manage the disease. User interfaces provided herein can include displays of current and projected glucose values, bolus calculators, charts displaying glucose levels and/or insulin delivery data, system maintenance reminders, system status information, patient configuration input screens, and log-in screens. Diabetes management systems can include insulin pumps, continuous glucose monitors, blood glucose monitors, mobile computing devices, servers, and/or other insulin delivery devices (e.g., insulin pens).

Abstract: Some embodiments a multi-modal medicine delivery system can be configured to control dispensation of medicine according to any of a plurality of delivery modes, such as 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 system is provided with an insulin delivery device configured to deliver insulin to a user of the system and a computer-based control unit associated with the insulin delivery device. The computer-based control unit includes a user interface and a computer-based processor. The computer-based processor is configured to calculate a relative insulin on board value for a specific time by calculating a first value that represents a reference insulin on board value at the specific time, calculating a second value that represents an automated insulin on board value at the specific time, and subtracting one of the first and second values from the other. The automated insulin on board value represents at least one insulin delivery automatically specified by the computer-based control unit. Methods of use are also disclosed.

Abstract: A method of facilitating delivery of a discretionary dose of insulin to a user includes: enabling the user or a caregiver to specify, via a computer-based user interface, parameters associated with a discretionary delivery of insulin that may be delivered to the user; subsequently receiving data that represents the user's glucose level during a period of time associated with the discretionary delivery; automatically determining, with a computer-based processor, based on the received data, if, when and how much discretionary insulin should be delivered to the user during the period of time associated with the discretionary delivery; delivering insulin to the user during the period of time associated with the discretionary delivery according to the automatic determination; and delivering insulin to the user with the insulin delivery device according to a non-discretionary insulin delivery schedule unless a discretionary insulin delivery mode has been triggered.

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.