Abstract: Exemplary embodiments may provide an on-body medicament delivery system that provides basal delivery of a medicament to a type 2 diabetes patient and that automatically performs medicament titration for the patient. The medicament delivery system performs medicament titration based on glucose level readings for the patient. These glucose levels may be provided wirelessly from a glucose sensor, such as a continuous glucose monitor, or may be entered manually by the patient into a management device, such as a smartphone running an application that provides a user interface for the patient to enter the glucose level readings. The medicament delivery system adjusts the basal medicament delivery rate/dose based on the glucose level readings for the patient. The adjustments may be performed by a programmatic mechanism, such as by computer programming instructions executing on a processor.

Abstract: A computer-implemented method, computer program product and computing system for: establishing connectivity with a plurality of security-relevant subsystems within a computing platform; and mapping one or more data fields of a unified platform to one or more data fields of each of the plurality of security-relevant subsystems.

Abstract: Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, a file format is assigned to a source electronic data files by a data importation system. The data importation system may further identify a file type identifier associated with the source electronic data file and map the source electronic data file to a transformation template. The data importation system may further store the file format, file type identifier, and an indication of the transformation template as a file type profile associated with the source electronic data file in a database.

Abstract: Disclosed herein is a system and method for calculating an expected peak blood glucose level of user during a post-prandial period, based on a quantity of carbohydrates to be ingested. The user's expected peak blood glucose levels for slow, medium and fast acting carbohydrates are calculated. The results are presented to the user to allow the user to make an informed decision regarding the type of meal to be ingested.

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: A computer-implemented method, computer program product and computing system for: a computer-implemented method is executed on a computing device and includes: obtaining object information concerning one or more initial objects within a computing platform in response to a security event; identifying an event type for the security event; and executing a response script based, at least in part, upon the event type.

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: Disclosed are a device, a computer-readable medium, and techniques that provide an onboarding process and an adaptivity process for a drug delivery device. A processor executing an onboarding process determines whether a history of delivered insulin to a user meets certain sufficiency requirements. The onboarding process enables a processor to cause the drug delivery device to administer doses of insulin to a user according to an initial total daily insulin dose calculation that is determined based on the sufficiency of the insulin delivery history. The initial total daily insulin may be adapted according to the adaptivity process as new insulin delivery is collected. The insulin delivery history, when sufficient, may be used to set total daily insulin dosages that enable automated insulin delivery upon replacement of a drug delivery device. The adaptivity process may be implemented to modify an initial insulin delivery doses to provide adapted insulin delivery doses.

Abstract: Disclosed herein is a method, implemented in an automatic drug delivery system, for determining insulin resistance of a user and adjusting parameters of the medication delivery algorithm of the automatic drug delivery system based on the determined insulin resistance. A self-guided test is administered similar to the Kraft test which determines if the quantity of insulin delivered during a post-prandial period after ingestion of a quantity of fast-acting carbohydrates is sufficient to lower the user's blood glucose level to a baseline level.

Abstract: Disclosed herein is a system and method implementing a software-based method for detecting or confirming the detection of occlusions in the fluid path of an automatic drug delivery system. The invention uses real time glucose readings from a continuous glucose monitor in collaboration with past insulin delivery history and user indications of ingestion of carbohydrates, to determine cases where the user's glucose concentration is not being sufficiently impacted by the expected insulin delivery, which may indicate a significant pump site issue.

Abstract: A computer-implemented method, computer program product and computing system for: obtaining first system-defined platform information concerning a first security-relevant subsystem within a computing platform; obtaining at least a second system-defined platform information concerning at least a second security-relevant subsystem within the computing platform; combining the first system-defined platform information and the at least a second system-defined platform information to form system-defined consolidated platform information; and generating a security profile based, at least in part, upon the system-defined consolidated platform information.

Abstract: Disclosed are techniques to establish initial settings for an automatic insulin delivery device. An adjusted total daily insulin (TDI) factor usable to calculate a TDI dosage may be determined. The adjusted TDI factor may be a TDI per unit of a physical characteristic of the user (e.g., weight) times a reduction factor. The adjusted TDI factor may be compared to a maximum algorithm delivery threshold. Based on the comparison result, the application or algorithm may set a TDI dosage and output a control signal. Blood glucose measurement values may be collected from a sensor over a period of time. A level of glycated hemoglobin of the blood may be determined based on the obtained blood glucose measurement values. In response to the level of glycated hemoglobin, the set TDI dosage may be modified. A subsequent control signal including the modified TDI dosage may be output to actuate delivery of insulin.

Abstract: Disclosed are a device, system, methods and computer-readable medium products that provide techniques to implement functionality to receive blood glucose measurements over a period of time. An average of missing blood glucose measurement values may be maintained over a predetermined time period. A count of a number of missing blood glucose measurement values over a period of time may be established. A controller may calculate a divergence of the number of missing blood glucose measurement values over the period of time from the average of missing blood glucose measurements over the predetermined time period. Based on a value of the divergence, a determination that a safety constraint for delivery of insulin is to be reduced. The safety constraint may be reduced by a predetermined percentage. An instruction to deliver an insulin dosage may be generated according to the reduced safety constraint may be forwarded to a wearable drug delivery device.

Abstract: The exemplary embodiments provide medicament delivery devices that use cost functions in their control systems to determine medicament dosages. The cost function may have a medicament cost component and a performance cost component. The exemplary embodiments may use cost functions having medicament cost components that scale asymmetrically for different ranges of inputs (i.e., different candidate medicament dosages). The variance in scaling for different input ranges provides added flexibility to tailor the medicament cost component to the user and thus provide better management of medicament delivery to the user and better conformance to a performance target. The exemplary embodiments may use a cost function that has a medicament cost component (such as an insulin cost component) of zero for candidate dosages for a range of candidate dosages (e.g., below a reference dosage).

Abstract: Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.

Abstract: Disclosed are a system, methods and computer-readable medium products that provide bolus dosage calculations by a control algorithm-based drug delivery system that provides automatic delivery of a drug, such as insulin or the like, based on sensor input. Blood glucose measurement values may be received at regular time intervals from a sensor. Using the blood glucose measurements, the control algorithm may perform various calculations and determinations to provide an appropriate bolus dosage. The appropriate bolus dosage may be used to respond to a trend in a trajectory of blood glucose measurements. In addition, a bolus dosage may also be determined by the disclosed device, system, method and/or computer-readable medium product in response to an indication that a user consumed a meal.

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 herein is a method, implemented in an automated drug delivery system for determining a risk of a hypoglycemic or hyperglycemic condition based on risk factors calculated each time a new blood glucose reading is received and providing an alert to the user should a risk be determined. The risk factors may include the current CGM reading, the trend of CGM readings, the amount of insulin-on-board of the user and the accuracy of previous alerts provided to the user. The method may be modified to provide the risk of hypoglycemia if the user were to engage in exercise or other physical activities.

Abstract: Disclosed are a device, system, methods and computer-readable medium products that provide techniques to implement functionality to receive blood glucose measurements over a period of time. An average of missing blood glucose measurement values may be maintained over a predetermined time period. A count of a number of missing blood glucose measurement values over a period of time may be established. A controller may calculate a divergence of the number of missing blood glucose measurement values over the period of time from the average of missing blood glucose measurements over the predetermined time period. Based on a value of the divergence, a determination that a safety constraint for delivery of insulin is to be reduced. The safety constraint may be reduced by a predetermined percentage. An instruction to deliver an insulin dosage may be generated according to the reduced safety constraint may be forwarded to a wearable drug delivery device.

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.