Abstract: Disclosed herein are apparatuses and methods that account for exercise in closed loop insulin delivery systems. Rather than increasing a target insulin on board (IOB) as glucose levels rise, which would increase insulin delivery to address the raised glucose levels, when a user indicates that the user will be exercising raised glucose levels are addressed by reducing the target IOB within the closed loop algorithm. By reducing the target IOB, the algorithm responds less aggressively to pre-exercise food, and does not build up the IOB that can cause dangerously low glucose levels once the exercise also begins lowering glucose levels.

Abstract: Disclosed herein are systems and methods for mitigating the risk of insulin stacking in automated insulin delivery systems. In AID systems configured to both automatically calculate insulin delivery based on glucose levels and receive manual programming of meal boluses configured to counteract carbohydrates in a meal, insulin stacking can result if the system automatically increases insulin delivery based on a rise in glucose levels in response to consumption of a meal and the user later programs a meal bolus for the meal. The risk of such double dosing is mitigated by the systems and methods disclosed herein by enabling the system to account for recent automated insulin increases when a meal bolus is programmed.

Abstract: Disclosed herein are apparatuses and methods incorporating an infusion pump and a CGM that can include software that automatically populates a blood glucose section of a bolus calculator with a most recent valid CGM value. The software can additionally be programmed to automatically populate the bolus calculator with a single CGM reading only when one or more predefined conditions are met that aid in mitigating the risk of inaccurate and/or invalid singleCGMreadings.

Abstract: Apparatuses and methods for transitioning to sleep mode or otherwise modified glucose target range in automated insulin delivery systems. For example, sleep mode can include a lower glucose target and/or lower and narrower glucose target range because of fewer variables that affect glucose values during sleep such as eating and exercise. Due to increased stability provided by the sleep mode target range, it is desirable to transition to the sleep mode target range as quickly as possible, while ensuring the transition is done safely and does not risk low glucose or hypoglycemia by too quickly switching to the lower and narrower target range. Systems and methods disclosed herein therefore provide various approaches for safely and quickly transitioning to sleep mode or other modified target ranges in order to improve time in range by being more aggressive to get to the lower sleep mode or other target faster without risking hypoglycemia.

Abstract: Disclosed herein are apparatuses and methods incorporating an infusion pump and a CGM that can include software that automatically populates a blood glucose section of a bolus calculator with a most recent valid CGM value. The software can additionally be programmed to automatically populate the bolus calculator with a single CGM reading only when one or more predefined conditions are met that aid in mitigating the risk of inaccurate and/or invalid single CGM readings.

Abstract: Disclosed herein are systems and methods for remotely monitoring and/or controlling medical therapy of a patient. Embodiments of the current disclosure provide a remote monitoring and/or control architecture that can establish a predetermined set of permissions for real time monitoring of patient data and/or notifications and/or control of medical device therapy. The system can include permissions to determine who, how and when information and/or control is shared that can consider factors such as time, location and relationship with the patient.

Abstract: Apparatuses and methods for transitioning to sleep mode or otherwise modified glucose target range in automated insulin delivery systems. For example, sleep mode can include a lower glucose target and/or lower and narrower glucose target range because of fewer variables that affect glucose values during sleep such as eating and exercise. Due to increased stability provided by the sleep mode target range, it is desirable to transition to the sleep mode target range as quickly as possible, while ensuring the transition is done safely and does not risk low glucose or hypoglycemia by too quickly switching to the lower and narrower target range. Systems and methods disclosed herein therefore provide various approaches for safely and quickly transitioning to sleep mode or other modified target ranges in order to improve time in range by being more aggressive to get to the lower sleep mode or other target faster without risking hypoglycemia.

Abstract: Disclosed herein are systems and methods for remotely monitoring and/or controlling medical therapy of a patient. Embodiments of the current disclosure provide a remote monitoring and/or control architecture that can establish a predetermined set of permissions for real time monitoring of patient data and/or notifications and/or control of medical device therapy. The system can include permissions to determine who, how and when information and/or control is shared that can consider factors such as time, location and relationship with the patient.

Abstract: In an infusion pump system that includes a pump that may have a user interface for pump programming, one or more smartphones or other remote control devices that interface with the infusion pump, and/or an automated insulin delivery algorithm, there is a potential conflict between commands such as boluses being programmed on multiple devices and/or calculated by the AID algorithm at the same time. In order to avoid low glucose levels that could result from delivering multiple boluses from these various sources when only one bolus is needed, systems and methods disclosed herein provide a bolus permissions and prioritization scheme that prioritizes boluses programmed with the infusion pump and one or more remote control devices and calculated by a closed loop delivery algorithm.

Abstract: Disclosed herein are systems and methods for mitigating the risk of insulin stacking in automated insulin delivery systems. In AID systems configured to both automatically calculate insulin delivery based on glucose levels and receive manual programming of meal boluses configured to counteract carbohydrates in a meal, insulin stacking can result if the system automatically increases insulin delivery based on a rise in glucose levels in response to consumption of a meal and the user later programs a meal bolus for the meal. The risk of such double dosing is mitigated by the systems and methods disclosed herein by enabling the system to account for recent automated insulin increases when a meal bolus is programmed.

Abstract: Disclosed herein are systems and methods for remotely monitoring and/or controlling medical therapy of a patient. Embodiments of the current disclosure provide a remote monitoring and/or control architecture that can establish a predetermined set of permissions for real time monitoring of patient data and/or notifications and/or control of medical device therapy. The system can include permissions to determine who, how and when information and/or control is shared that can consider factors such as time, location and relationship with the patient.

Abstract: Apparatuses and methods for transitioning to sleep mode or otherwise modified glucose target range in automated insulin delivery systems. For example, sleep mode can include a lower glucose target and/or lower and narrower glucose target range because of fewer variables that affect glucose values during sleep such as eating and exercise. Due to increased stability provided by the sleep mode target range, it is desirable to transition to the sleep mode target range as quickly as possible, while ensuring the transition is done safely and does not risk low glucose or hypoglycemia by too quickly switching to the lower and narrower target range. Systems and methods disclosed herein therefore provide various approaches for safely and quickly transitioning to sleep mode or other modified target ranges in order to improve time in range by being more aggressive to get to the lower sleep mode or other target faster without risking hypoglycemia.

Abstract: Disclosed herein are systems and methods for mitigating the risk of insulin stacking in automated insulin delivery systems. In AID systems configured to both automatically calculate insulin delivery based on glucose levels and receive manual programming of meal boluses configured to counteract carbohydrates in a meal, insulin stacking can result if the system automatically increases insulin delivery based on a rise in glucose levels in response to consumption of a meal and the user later programs a meal bolus for the meal. The risk of such double dosing is mitigated by the systems and methods disclosed herein by enabling the system to account for recent automated insulin increases when a meal bolus is programmed.

Abstract: Disclosed herein are systems and methods incorporating an ambulatory infusion pump and a CGM. These systems that can include software and related methods to provide improved automated insulin delivery algorithms that enable the algorithms to safely continue delivering insulin for some time periods of missing or known inaccurate glucose values.

Abstract: Disclosed herein are apparatuses and methods incorporating an infusion pump and a CGM that can include software that automatically populates a blood glucose section of a bolus calculator with a most recent valid CGM value. The software can additionally be programmed to automatically populate the bolus calculator with a single CGM reading only when one or more predefined conditions are met that aid in mitigating the risk of inaccurate and/or invalid single CGM readings.

Abstract: Disclosed herein are apparatuses and methods that account for exercise in closed loop insulin delivery systems. Rather than increasing a target insulin on board (IOB) as glucose levels rise, which would increase insulin delivery to address the raised glucose levels, when a user indicates that the user will be exercising raised glucose levels are addressed by reducing the target IOB within the closed loop algorithm. By reducing the target IOB, the algorithm responds less aggressively to pre-exercise food, and does not build up the IOB that can cause dangerously low glucose levels once the exercise also begins lowering glucose levels.