Abstract: Techniques related to temporary setpoint values are disclosed. The techniques may involve causing operation of a fluid delivery device in a closed-loop mode for automatically delivering fluid based on a difference between a first setpoint value and an analyte concentration value during operation of the fluid delivery device in the closed-loop mode. Additionally, the techniques may involve obtaining a second setpoint value. The second setpoint value may be a temporary setpoint value to be used for a period of time to regulate fluid delivery, and the second setpoint value may be greater than the first setpoint value. The techniques may further involve causing operation of the fluid delivery device for automatically reducing fluid delivery for the period of time based on the second setpoint value.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. In one example, a computer-implemented method includes identifying, based on an input meal size category of a meal event and a plurality of groups of historical meal events associated with a plurality of meal size categories for a person, a group of historical meal events having an associated meal size category that corresponds to the input meal size category, determining at least one person-specific variable representative of historical meal events in the identified group of historical meal events, determining a bolus insulin dosage based at least in part on the at least one person-specific variable, and causing administration of insulin to the person based on the bolus insulin dosage.

Abstract: Disclosed are techniques related to determination of adjustments to fluid delivery settings. The techniques may involve accessing an input meal size category, where the input meal size category is selected from among a plurality of meal size categories via a user interface; accessing a plurality of groups of historical meal events for a person, where each group of the plurality of groups is associated with a respective meal size category of the plurality of meal size categories and includes respective historical meal events for the person categorized in the respective meal size category; identifying a group, in the plurality of groups of historical meal events for the person, having an associated meal size category that matches the input meal size category; identifying a person-specific carbohydrate amount representative of the historical meal events in the identified group; and determining a bolus dosage value of insulin based on the person-specific carbohydrate amount.

Abstract: A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of obtaining an insulin-on-board (IOB) value, wherein the IOB value is a quantity of insulin remaining in a patient following delivery of a bolus of insulin, scaling a total daily dose (TDD) value by a factor, to generate a result having a value that is less than the TDD value, based on determining that the IOB value is greater than the result, identifying a condition in which the patient's glucose level will continue to decrease after suspension of basal insulin dosage delivery, and responsive to identifying the condition, causing performance of an action for preventing the patient's glucose level from falling into a hypoglycemic range in combination with the suspension of basal insulin dosage delivery.

Abstract: Techniques disclosed herein relate generally to diabetes therapy management. In some examples, the techniques involve obtaining therapy-related data (e.g., including sensor glucose data and meal data) of a user of an insulin delivery device for a time period of a plurality of time periods, determining whether the therapy-related data associated with the time period is well-fit data by determining whether a physiological model for the user can be fitted to the therapy-related data associated with the time period, determining one or more parameters of the physiological model by fitting the physiological model to well-fit data associated with the time period, and causing the insulin delivery device to deliver insulin to the user based on the one or more parameters of the physiological model.

Abstract: Techniques disclosed herein relate to configurable target glucose values. In some embodiments, the techniques may involve modifying a glucose setpoint from a first target value to a second target value, wherein the second target value is lower than the first target value. The techniques may further involve regulating a glucose level of a patient to the modified glucose setpoint by controlling insulin delivery. The techniques may further involve after a time period has elapsed, reverting the glucose setpoint to the first target value.

Abstract: Disclosed herein are techniques for communication of information. In some embodiments, the techniques involve receiving, at an intermediate device from a remote device, a request to initiate a first communication session. The techniques may further involve responsive to receiving the request, establishing a second communication session between the intermediate device and a medical device. The techniques may further involve responsive to establishing the second communication session, automatically transmitting, by the intermediate device to the remote device, an acknowledgement that establishes the first communication session between the intermediate device and the remote device. The techniques may further involve streaming updated control parameters to the medical device via the second communication session.

Abstract: Disclosed herein are techniques related to configurable target values. The techniques may involve identifying a target glucose value obtained based on user input. Additionally, the techniques may involve determining a fluid delivery command based on a difference between a measured glucose value and the target glucose value. The techniques may further involve causing fluid delivery by a fluid infusion device in accordance with the fluid delivery command to regulate the measured glucose value to the target glucose value.

Abstract: Techniques disclosed herein relate to continuous analyte sensor quality measures. In some embodiments, the techniques may involve obtaining a sensor-generated value that is indicative of a physiological characteristic of a user of a medical device. The techniques may further involve causing, in response to obtaining a sensor quality metric that indicates accuracy of the sensor-generated value, configuration of a quality-specific operating mode of the medical device, the quality-specific operating mode comprising regulation of basal and bolus deliveries of a fluid medication based on the obtained sensor quality metric.

Abstract: Disclosed herein are techniques related to automatically adjusting at least one parameter of an insulin delivery controller of an insulin delivery device to regulate delivery of insulin to a user. In some embodiments, the techniques may involve obtaining therapy-related data associated with operation of the insulin delivery device for a number of days in the past. The therapy-related data including sensor glucose data for the user and meal data for the user. The techniques may also involve determining at least one adjusted parameter for the insulin delivery controller based on the therapy-related data. Additionally, the techniques may involve causing the insulin delivery controller to adjust at least one setting in accordance with the determined at least one adjusted parameter.

Abstract: Techniques related to temporary setpoint values are disclosed. The techniques may involve causing operation of a fluid delivery device in a closed-loop mode for automatically delivering fluid based on a difference between a first setpoint value and an analyte concentration value during operation of the fluid delivery device in the closed-loop mode. Additionally, the techniques may involve obtaining a second setpoint value. The second setpoint value may be a temporary setpoint value to be used for a period of time to regulate fluid delivery, and the second setpoint value may be greater than the first setpoint value. The techniques may further involve causing operation of the fluid delivery device for automatically reducing fluid delivery for the period of time based on the second setpoint value.

Abstract: Disclosed herein are techniques related to management of insufficient hypoglycemia response. In some embodiments, the techniques may involve obtaining an amount of insulin remaining in a body of a patient. The techniques may involve also obtaining a quantity of insulin needed by the patient within a future time period. Additionally, the techniques may involve identifying a condition in which the patient's glucose level will continue to decrease during the future time period despite suspension of basal insulin dosage delivery. The condition may be identified based on determining that the amount of insulin remaining in the body is greater than the quantity of insulin needed by the patient within the future time period. Furthermore, the techniques may involve, responsive to identifying the condition, causing performance of an action for preventing the patient's glucose level from falling into a hypoglycemic range in combination with the suspension of basal insulin dosage delivery.

Abstract: A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of obtaining a first target value for a glucose level of a patient, modifying a glucose setpoint from a second target value to the first target value, and regulating the glucose level of the patient to the modified glucose setpoint based on controlling insulin delivery by an insulin infusion device.

Abstract: Techniques disclosed herein involve automatically adjusting a control parameter for an operating mode of a medical device. In some embodiments, the techniques involve obtaining data pertaining to a physiological condition of a patient during operation of the medical device. In some embodiments, the techniques further involve determining an optimized value for the control parameter using the data pertaining to the physiological condition of the patient and a cost function, wherein the cost function disproportionately penalizes for an amount of time that a physiological parameter is below a lower bound of a target range and includes a first weighting factor that is dependent on an amount of time that the physiological parameter is outside of the target range, and a second weighting factor, different from the first weighting factor, dependent on the amount of time that the physiological parameter is below the lower bound of the target range.

Abstract: Techniques disclosed herein relate to closed-loop control in steady-state conditions. In some embodiments, the techniques may involve determining an amount of unmetabolized therapeutic substance in a patient; determining, based on a measurement of a physiological condition of the patient and a target value for the physiological condition, a first amount or rate of a basal dosage for delivery to the patient; adjusting, based on the amount of unmetabolized therapeutic substance, the first amount or rate of the basal dosage to determine a second amount or rate of the basal dosage; and causing delivery of the second amount or rate of the basal dosage based on communicating the second amount or rate in a delivery command.

Abstract: A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of: associating a medical device with an intermediate device, obtaining, from the medical device via the intermediate device, measurement data correlative to a condition of a user, determining updated control information for the medical device based at least in part on the measurement data, and streaming the updated control information to the medical device via the intermediate device.

Abstract: Techniques disclosed herein relate to continuous analyte sensor quality measures. In some embodiments, the techniques may involve obtaining a current sensor-generated value that is indicative of a physiological characteristic of a user of a medical device, the current sensor-generated value produced in response to operation of a continuous analyte sensor device. The techniques may further involve obtaining a sensor quality metric that indicates accuracy of the current sensor-generated value. The techniques may further involve causing, in response to obtaining the sensor quality metric, configuration of a quality-specific operating mode of the medical device, the quality-specific operating mode comprising separate regulation of basal and bolus deliveries of a fluid medication based on the obtained sensor quality metric.

Abstract: Techniques related to temporary setpoint values are disclosed. The techniques may involve causing operation of a fluid delivery device in a closed-loop mode for automatically delivering fluid based on a difference between a first setpoint value and an analyte concentration value during operation of the fluid delivery device in the closed-loop mode. Additionally, the techniques may involve obtaining a second setpoint value. The second setpoint value may be a temporary setpoint value to be used for a period of time to regulate fluid delivery, and the second setpoint value may be greater than the first setpoint value. The techniques may further involve causing operation of the fluid delivery device for automatically reducing fluid delivery for the period of time based on the second setpoint value.

Abstract: A medical device system and related methods of automatically adjusting control parameters of a medical device are disclosed. One method involves obtaining data pertaining to a physiological condition of a patient during operation of the medical device in accordance with the operating mode, determining a plurality of adjusted values for the control parameter based at least in part on the data, determining a respective cost associated with each respective adjusted value for the control parameter based at least in part on the data using a cost function, identifying, from among the plurality of adjusted values, an optimized value from among the plurality of adjusted values, wherein the optimized value has a minimum cost associated therewith from among the plurality of costs, and updating the control parameter at the medical device to the optimized value.

Abstract: A processor-implemented method for closed-loop control in steady-state conditions includes determining, based on data including historical bolus information but excluding historical basal information, an amount of unmetabolized therapeutic substance in a patient; determining, based on a difference between a most recent measurement of a physiological condition of the patient and a target value for the physiological condition, a first amount or rate of a basal dosage for delivery to the patient; adjusting, based on the amount of unmetabolized therapeutic substance, the first amount or rate of the basal dosage to determine a second amount or rate of the basal dosage; and causing delivery of the second amount or rate of the basal dosage based on communicating the second amount or rate in a delivery command.