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: Disclosed are methods, apparatuses, etc. for determination and application of a unidimensional metric for assessing a patient's glycemic health. In one particular implementation, a computed metric may be used to balance short-term and long-term risks associated with a particular therapy. In another implementation, a computed unidimensional metric may be used to balance risks of hyperglycemia and hypoglycemia.

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.

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: 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: 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. Some methods and systems may be configured to adjust insulin delivery to a person with diabetes according to one or more conditions of an insulin delivery device. Some methods and systems may be configured to enable a lock-out mode where adjustment to insulin delivery to personalize automated insulin delivery is restricted.

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: 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: 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: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves obtaining a sequence of measurements indicative of a condition of the user that is influenced by the fluid and modifying one or more unusable measurements in the sequence using one or more other usable measurements in the sequence to obtain a modified sequence of measurements. The method continues by determining a predicted value for the condition of the user at a time in the future based at least in part on the modified sequence of measurements and operating the infusion device in a manner that is influenced by the predicted value.

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: Disclosed are methods, apparatuses, etc. for determination and application of a metric for assessing a patient's glycemic health. In one particular implementation, a computed metric may be used to balance short-term and long-term risks associated with a particular therapy.

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. Some methods and systems may be configured to adjust insulin delivery to a person with diabetes according to one or more conditions of an insulin delivery device. Some methods and systems may be configured to enable a lock-out mode where adjustment to insulin delivery to personalize automated insulin delivery is restricted.

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: Disclosed are methods, apparatuses, etc. for determination and application of a metric for assessing a patient's glycemic health. In one particular implementation, a computed metric may be used to balance short-term and long-term risks associated with a particular therapy.

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 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).