Abstract: Disclosed are a device, system, methods and computer-readable medium products that provide an updated insulin-to-carbohydrate ratio and an updated total daily insulin. The described processes may be used for periodic updating of the insulin-to-carbohydrate ratio and the total daily insulin. The insulin-to-carbohydrate ratio and/or the total may be used in the calculation of new doses of insulin that a drug delivery device may be commanded to deliver to a user.

Abstract: Disclosed are techniques, devices and systems that provide adjustments to parameter settings of an insulin delivery algorithm based on inputs from a number of generic sensor devices. A majority of the generic sensor devices provide sensor readings that are unused as inputs to a drug deliver algorithm. The generic sensor devices may be operable to detect characteristics, such as changes in a state of a user. A processor may evaluate a sensor reading provided by a particular sensor with respect to a sensor baseline reading for the particular sensor. Using the result of the evaluation, the processor may calculate an adjustment to a parameter setting or settings of a medication delivery algorithm. A dosage of medication may be modified based on the adjustment of the parameter setting or settings.

Abstract: Safety and accuracy measures may be provided in a medicament delivery device. The medicament delivery device may be able to identify the inadvertent delivery of duplicate medicament boluses by a user. The exemplary embodiments may set limits for maximum allowable medicament bolus doses and maximum cumulative bolus doses over an interval. The exemplary embodiments may provide automatic meal detection and may use detection of meals in determining whether a user-requested medicament bolus dose should be adjusted or rejected. The exemplary embodiments may facilitate delivery of partial boluses and the delivery of remainders of the boluses contingent on acceptable glucose level trends of the user. The exemplary embodiments may resolve potential conflicts among multiple medicament delivery devices via a broker or by providing a single actor, such as a medicament delivery controller, that has sole control of dosing and delivery of medicament boluses.

Abstract: Disclosed are techniques, devices and systems that modify an insulin delivery schedule based on how sensitive a diabetic user may to fluctuations in their total daily insulin or fluctuations in their blood glucose measurement values. As a control algorithm calculates how to adapt the calculation of the user's total daily insulin, a rate of adaptivity function may be used in the calculation. The rate of adaptivity may depend on a number of factors and the disclosed techniques, devices and systems enable calculation of the rate of adaptivity to provide effective implementation or modification of a diabetic treatment plan.

Abstract: Exemplary embodiments may determine anticipated basal insulin delivery action to a user from an insulin delivery device over a future time window. Indications of the anticipated basal insulin delivery action over the future time window may be output to the user. The exemplary embodiments may determine the anticipated basal insulin delivery action over the future time window based on a rate of change (ROC) of glucose level of the user by the insulin delivery device, a most recent (“current”) glucose level for the user and insulin on board (IOB) for the user. The exemplary embodiments may also determine whether the user is likely to experience a undesired high glucose level (e.g., hyperglycemia) and/or an undesired low glucose level (e.g., hypoglycemia) during the future time window. The exemplary embodiments may output recommendations based on the projected glucose levels of the user over the future time window.

Abstract: Disclosed are techniques, devices and systems that obtain a glucose measurement history and a liquid drug delivery history. An expected drug delivery amount may be calculated based on the obtained glucose measurement history and the obtained liquid drug delivery history. A processor may calculate a plurality of respective drug delivery amounts implemented using different advisory mode algorithms. A respective advisory drug delivery amount of the plurality of respective advisory drug delivery amounts may be selected by the processor. A recommendation may be generated based on the selected respective advisory drug delivery amount.

Abstract: The exemplary embodiments may dynamically adjust an Insulin on Board (JOB) profile for a user of a medicament delivery system to customize the IOB profile to the user based on recent glucose level history and insulin deliveries rather than use the conventional static IOB profiles that are based on population averages. The exemplary embodiments may calculate a Duration of Insulin Action (DIA) for a user from the customized insulin decay curves. The exemplary embodiments may generate and send notifications to the user to help reduce the DIA of the user and/or to keep the DIA of the user from rising. The exemplary embodiments may aim to not overly constrain insulin delivery due to the contribution of insulin boluses to JOB.

Abstract: Disclosed herein are various embodiments comprising methods to propose or modify a basal profile of a user, wherein the basal profile is delivered by an automatic drug delivery system operating in manual mode or is administered manually by the user. Suggestions of initial basal profiles or modifications to existing basal profiles may be based on previous glucose control outcomes or previous insulin delivery as recorded by the automatic drug delivery system.

Abstract: Disclosed are techniques, processes, systems, and programming code that enables users of automatic drug delivery devices to initiate the automatic drug delivery device for an initial use phase as well as implement changes that control the adjustment of target setpoints by a medication delivery algorithm used in the control of the automatic drug delivery device. During the initial use phase, the automatic drug delivery device may be based on the user's glucose control outcome without performing time consuming and frequent settings of sensor values as well as allowing users to remain substantially within range of any target setpoints. In addition, the disclosed techniques, processes, systems, and programming code enable users to have initial dosage settings automatically set without having to input what were previously considered fundamental inputs.

Abstract: Disclosed herein is a drug delivery system wherein wearable components of the system are provided with Wi-Fi and/or cellular capabilities such as to allow different modalities for inter-component communications and, further, to allow access to a plethora of cloud-based services to enhance the functionality of the system.

Abstract: The exemplary embodiments may provide adaptivity in the basal portion value. The exemplary embodiments may also provide adaptivity of the total daily medicament (TDM) delivery amount. The adaptivity provided by the exemplary embodiments helps to customize medicament delivery to the needs of the user of a medicament delivery device. The exemplary embodiments may adapt the basal ratio for the user based on historical medicament delivery data for the user. In addition, the exemplary embodiments may update the basal ratio based upon more recent trends that diverge from the historical medicament delivery data. The degree of adaptivity provided by the exemplary embodiments may be bound to not exceed an upper threshold and/or a lower threshold. The degree of adaptivity may be modulated by controlling the rate of adaptivity too small increments each time the basal ratio is updated.

Abstract: A wearable drug delivery device, techniques, and computer-readable media that provide an application that implements a diabetes treatment plan for a user are described. The drug delivery device may include a controller operable to direct operation of the wearable drug delivery device. The controller may provide a selectable activity mode of operation for the user. Operation of the drug delivery device in the activity mode of operation may reduce a likelihood of hypoglycemia during times of increased insulin sensitivity for the user and may reduce a likelihood of hyperglycemia during times of increased insulin requirements for the user. The activity mode of operation may be manually activated by the user or may be activated automatically by the controller. The controller may automatically activate the activity mode of operation based on a detected activity level of the user and/or a detected location of the user.

Abstract: Disclosed herein are systems and methods for providing safeguards, in an automatic drug delivery system, to prevent or compensate for insufficient delivery of bolus doses of a liquid drug. The safeguards include, for example, features built into the medication delivery algorithm to allow the medication delivery algorithm to ensure that proper bolus doses are delivered, either manually by the user or automatically by the drug delivery system. In addition, various methods are described for providing the medication delivery algorithm with a means for determining when a meal has been ingested and, in some embodiments, for providing an automatic bolus dose of the liquid drug in response to the determination.

Abstract: Disclosed herein is a method for execution by a drug delivery device for determining an optimal dose of a liquid drug for current cycle of a medication delivery algorithm, the method utilizing a stepwise evaluation of a model and a cost function across a coarse search space consisting of coarse discrete quantities of the drug and a refined search space consisting of refined discrete quantities of the drug.

Abstract: A wearable drug delivery device, techniques, and computer-readable media that provide an application that implements a diabetes treatment plan for a user are described. The drug delivery device may include a controller operable to direct operation of the wearable drug delivery device. The controller may provide a selectable activity mode of operation for the user. Operation of the drug delivery device in the activity mode of operation may reduce a likelihood of hypoglycemia during times of increased insulin sensitivity for the user and may reduce a likelihood of hyperglycemia during times of increased insulin requirements for the user. The activity mode of operation may be manually activated by the user or may be activated automatically by the controller. The controller may automatically activate the activity mode of operation based on a detected activity level of the user and/or a detected location of the user.

Abstract: The insulin to carbohydrate ratio (ICR) and the correction factor for a user of a medicament delivery device may be automatically adjusted. The automatic adjustments may tailor the values to the user's actual insulin needs. Various factors may be examined to determine how to adjust the ICR and the correction factor. The identified factors are weighed with the processor to decide whether to increase or decrease the insulin to carbohydrate ratio or the correction factor. The insulin to carbohydrate ratio or the correction factor for the user are adjusted based on the weights of the identified factors. In addition or in the alternative, automatic adjustments of user-requested insulin boluses may be made to requested dosages and timing of deliveries of the insulin boluses. In some instances, the exemplary embodiments may deliver a percentage of the insulin bolus dosage initially and deliver the remaining percentage after a delay to reduce the risk of hypoglycemia for the user.

Abstract: Disclosed are examples of a device, a system, methods and computer-readable medium products operable to implement functionality to determine and respond to a purpose of a meal. An algorithm or application may receive data that may include data related to a meal purpose from data sources and determine whether any of the data received from the plurality of data sources was received from a direct data source or an indirect data source. The data may be evaluated to determine a purpose of the meal. Based on the results of the evaluation, instructions may be generated to provide an appropriate response based on the determined purpose of the meal. The generated instructions to provide the appropriate response based on the determined purpose of the meal may be output.

Abstract: The switchover between an expiring on-body medicament delivery device and a replacement on-body medicament is made to eliminate or significantly decrease the time where an on-body medicament delivery device is operational to deliver medicament to a user. The replacement on-body medicament device is attached to the user and prepped for operation while the expiring on-body medicament delivery device is still operational. The switchover between on-body sensors also may be improved. Methods for calibrating a replacement on-body sensor while the expiring on-body sensor is still operative are provided. The calibrating may be performed quickly so that there is no gap in operation between expiration of the expiring on-body sensor and full operation of the replacement on-body sensor.

Abstract: The disclosed embodiments are directed to methods for adjusting, on a per individual basis, the maximum delivery limit of insulin delivered to a diabetic person via an automatic insulin delivery system, particularly for a diabetic who receives basal or bolus doses of insulin via an automatic insulin delivery system. Various embodiments of the method disclosed herein may be incorporated into a dosing algorithm of an automatic insulin delivery system.

Abstract: Described are techniques, processes, devices, computer-readable media that enable provision of an indication of whether it is safe for a person with diabetes to participate in exercise while using a wearable drug delivery system. A processor may receive or obtain physiological data related to a condition of a wearer of the wearable drug delivery system and by evaluating an exercise model that uses inputs related to the physiological data to make the determination of whether it is safe to exercise and output an exercise safety signal. Modifications to the wearer's medication treatment plan and other actions may be based on an outputted exercise safety signal.