ADVANCE DIAGNOSIS OF INFUSION DEVICE OPERATING MODE VIABILITY

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a user in accordance with an operating mode involves obtaining operational information pertaining to one or more prior instances of the operating mode, obtaining status information pertaining to the infusion device, and determining a diagnosis time based at least in part on the operational information. The diagnosis time is prior to a subsequent instance of the operating mode. At the diagnosis time, the method automatically determines the viability of the subsequent instance of the operating mode based at least in part on the status information and automatically generates a notification indicative of a recommended action for the user based at least in part on the viability. 112-. (canceled)13. An infusion device comprising:a user interface;a data storage element to maintain status information pertaining to the infusion device;a motor operable to deliver fluid to a body of a user, the fluid influencing a physiological condition of the user; and operate the motor in a first instance to deliver the fluid in accordance with an operating mode;', 'store operational information pertaining to the first instance of the operating mode in the data storage element;', 'determine a diagnosis time based at least in part on the operational information pertaining to the first instance of the operating mode;', 'at the diagnosis time, automatically determine viability of a subsequent instance of the operating mode based at least in part on the status information; and', 'automatically provide, via the user interface, a notification indicative of a recommended action based at least in part on the viability., 'a control system coupled to the motor, the data storage element, and the user interface to14. The infusion device of claim 13 , wherein:the status information includes measurement data pertaining to the physiological condition of ...

DATA MODIFICATION FOR PREDICTIVE OPERATIONS AND DEVICES INCORPORATING SAME

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.

METHODS FOR OPERATING MODE TRANSITIONS AND RELATED INFUSION DEVICES AND SYSTEMS

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method involves operating an infusion device to deliver fluid to a user in accordance with a first operating mode of a plurality of operating modes, obtaining operational information pertaining to the first operating mode, and obtaining clinical information pertaining to the user. A destination operating mode of the plurality of operating modes is determined based at least in part on the operational information and the clinical information, and the infusion device is operated to deliver the fluid in accordance with the destination operating mode in a manner that is influenced by at least a portion of the operational information pertaining to the first operating mode. 1. A method of operating an infusion device operable to deliver fluid to a user , the method comprising:operating the infusion device to deliver the fluid in accordance with a first operating mode of a plurality of operating modes; andobtaining operational information pertaining to the first operating mode;obtaining clinical information pertaining to the user;determining a destination operating mode of the plurality of operating modes based at least in part on the operational information and the clinical information; andoperating the infusion device to deliver the fluid in accordance with the destination operating mode in a manner that is influenced by at least a portion of the operational information pertaining to the first operating mode.2. The method of claim 1 , wherein determining the destination operating mode comprises:identifying a set of one or more possible operating modes of the plurality of operating modes based at least in part on the operational information and the clinical information; andselecting the destination operating mode from the set.3. The method of claim 2 , wherein identifying the set of one or more possible operating modes comprises excluding an operating mode of the plurality of ...

PREDICTIVE INFUSION DEVICE OPERATIONS AND RELATED METHODS AND SYSTEMS

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 determining a current value for a physiological condition of the user influenced by the fluid violates a first threshold value, determining a predicted value for the physiological condition of the user violates a second threshold value, and automatically altering operation of the infusion device to modify delivery of the fluid to the user after determining the predicted value violates the second threshold value when the current value violates the first threshold value. 1. A method of operating an infusion device operable to deliver fluid to a user , the fluid influencing a physiological condition of the user , the method comprising:determining a current value for the physiological condition of the user violates a first threshold value;determining a predicted value for the physiological condition of the user violates a second threshold value; andafter determining the predicted value violates the second threshold value when the current value violates the first threshold value, automatically altering operation of the infusion device to modify delivery of the fluid to the user.2. The method of claim 1 , wherein automatically altering operation of the infusion device comprises automatically disabling operation of the infusion device to deliver the fluid to the user when the current value is less than the first threshold value and the predicted value is less than the second threshold value.3. The method of claim 2 , further comprising automatically enabling operation of the infusion device to deliver the fluid to the user after automatically disabling operation of the infusion device when the current value is greater than a third threshold value and the predicted value is greater than a fourth threshold value.4. The method of claim 3 , further comprising verifying a refractory time period has ...

DETERMINATION OF ADJUSTMENTS TO FLUID DELIVERY SETTINGS

Disclosed herein are techniques related to determination of adjustments to fluid delivery settings. In some embodiments, the techniques may involve accessing insulin delivery data for a user of an insulin delivery device. The insulin delivery data may be indicative of an amount of insulin delivered by the insulin delivery device to the user during a time period. The techniques may also involve analyzing the insulin delivery data to generate an updated insulin sensitivity factor (ISF) value. The techniques may further involve generating, based on the updated ISF value, a recommendation to adjust an ISF value of the insulin delivery device. Additionally, the techniques may involve causing adjustment of the ISF value to the updated ISF value in accordance with the recommendation. 121-. (canceled)22. A processor-implemented method comprising:accessing insulin delivery data for a user of an insulin delivery device, the insulin delivery data indicative of an amount of insulin delivered by the insulin delivery device to the user during a time period;analyzing the insulin delivery data to generate an updated insulin sensitivity factor (ISF) value;generating, based on the updated ISF value, a recommendation to adjust an ISF value of the insulin delivery device; andcausing adjustment of the ISF value of the insulin delivery device to the updated ISF value in accordance with the recommendation.23. The processor-implemented method of claim 22 , wherein the processor-implemented method is performed by a computing device in data communication with the insulin delivery device.24. The processor-implemented method of claim 22 , wherein causing adjustment of the ISF value comprises communicating the recommendation to the insulin delivery device.25. The processor-implemented method of claim 22 , further comprising controlling operation of the insulin delivery device in accordance with the updated ISF value.26. The processor-implemented method of claim 22 , wherein the amount of ...

AUTOMATIC DEVICE CONFIGURATION

Methods and systems are provided for configuring therapy settings of a medical device for a specific patient. Patient data input via a non-medical device can be received. A value of a total daily dose of insulin for the specific patient can be obtained from the patient data. Based upon the value of the total daily dose, a set of therapy settings for the specific patient can be computed. The medical device can be automatically programmed with the set of therapy settings to complete set up of the medical device so that the medical device is configured for the specific patient. 1. A method for configuring therapy settings of a medical device for a specific patient , the method comprising:receiving patient data input via a non-medical device;obtaining, from the patient data, a value of a total daily dose of insulin for the specific patient;computing a set of therapy settings for the specific patient based upon the value of the total daily dose; andautomatically programming the medical device with the set of therapy settings to complete set up of the medical device so that the medical device is configured for the specific patient.2. The method of claim 1 , wherein the patient data comprises: a weight of the specific patient claim 1 , and wherein obtaining claim 1 , from the patient data claim 1 , the value of the total daily dose of insulin for the specific patient claim 1 , comprises: computing the value of the total daily dose based on the weight of the specific patient.3. The method of claim 2 , wherein computing the value of the total daily dose based on the weight of the specific patient is performed by one of the non-medical device claim 2 , the medical device claim 2 , and a server system that hosts a cloud-based service.4. The method of claim 1 , wherein the patient data comprises the value of the total daily dose of insulin for the specific patient claim 1 , and wherein obtaining claim 1 , from the patient data claim 1 , the value of the total daily dose of ...

Predictive infusion device operations and related methods and systems

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 determining a current value for a physiological condition of the user influenced by the fluid violates a first threshold value, determining a predicted value for the physiological condition of the user violates a second threshold value, and automatically altering operation of the infusion device to modify delivery of the fluid to the user after determining the predicted value violates the second threshold value when the current value violates the first threshold value.

CONFIGURABLE TARGET VALUES

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. 1. A processor-implemented method comprising:identifying a target glucose value obtained based on user input;determining a fluid delivery command based on a difference between a measured glucose value and the target glucose value; andcausing 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.2. The method of claim 1 , wherein causing fluid delivery comprises communicating the fluid delivery command to a motor assembly of the fluid infusion device.3. The method of claim 1 , wherein the fluid delivery comprises a basal dosage delivery.4. The method of claim 1 , wherein the fluid delivery comprises a bolus dosage delivery.5. The method of claim 1 , wherein the target glucose value is obtained as user input at a computing device configured to communicate with the fluid infusion device.6. The method of claim 1 , wherein the measured glucose value is obtained from a glucose sensing arrangement.7. The method of claim 1 , wherein the target glucose value is automatically used when a probability of a meal being consumed with a prediction horizon is greater than a threshold value.8. A system comprising:one or more processors; and identifying a target glucose value obtained based on user input;', 'determining a fluid delivery command based on a difference between a measured glucose value and the target glucose value; and', 'causing fluid delivery by a fluid ...

DETERMINATION OF ADJUSTMENTS TO FLUID DELIVERY SETTINGS

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. 120-. (canceled)21. A processor-implemented method of automatically adjusting at least one parameter of an insulin delivery controller of an insulin delivery device to regulate delivery of insulin to a user , the processor-implemented method comprising: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;determining at least one adjusted parameter for the insulin delivery controller based on the therapy-related data; andcausing the insulin delivery controller to adjust at least one setting in accordance with the determined at least one adjusted parameter.22. The processor-implemented method of claim 21 , further comprising:determining, from the obtained therapy-related data, an expected value of total daily dose of insulin delivered to the user during the number of days in the past; anddetermining, from the obtained therapy-related data, an expected value of a fasting blood glucose that corresponds to fasting periods, and an expected value of estimated plasma insulin concentration at the expected value of the fasting blood glucose. ...

Prediction based delivering or guiding of therapy for diabetes

An example system for therapy delivery includes one or more processors configured to in response to a prediction indicating that the meal event is to occur, output instructions to an insulin delivery device to deliver a partial therapy dosage, to a device to notify the patient to use the insulin delivery device to take the partial therapy dosage, or to the insulin delivery device to prepare the partial therapy dosage prior to the meal event occurring, and in response to a determination indicating that the meal event is occurring (e.g., based on movement characteristics of a patient arm), output instructions to the insulin delivery device to deliver a remaining therapy dosage, to the device to notify the patient to use the insulin delivery device to take the remaining therapy dosage, or to the insulin delivery device to prepare the remaining therapy dosage.

GESTURE-BASED CONTROL OF DIABETES THERAPY

Devices, systems, and techniques for controlling delivery of therapy for diabetes are described. In one example, a system includes a wearable device configured to generate user activity data associated with an arm of a user; and one or more processors configured to: identify at least one gesture indicative of utilization of an injection device for preparation of an insulin injection based on the user activity data; based on the at least one identified gesture, generate information indicative of at least one of an amount or type of insulin dosage in the insulin injection by the injection device; compare the generated information to a criteria of a proper insulin injection; and output information indicative of whether the criteria is satisfied based on the comparison. 1. A system for controlling delivery of therapy for diabetes , the system comprising:a wearable device configured to generate user activity data associated with an arm of a user; and identify at least one gesture indicative of utilization of an injection device for preparation of an insulin injection based on the user activity data;', 'based on the at least one identified gesture, generate information indicative of at least one of an amount or type of insulin dosage in the insulin injection by the injection device;', 'compare the generated information to a criteria of a proper insulin injection; and', 'output information indicative of whether the criteria is satisfied based on the comparison., 'one or more processors configured to2. The system of claim 1 , wherein to identify the at least one gesture claim 1 , the one or more processors are configured to:identify, based on the user activity data, at least one of (1) a first gesture to set at least one of the amount or the type of the dosage in the insulin injection, (2) a second gesture to move the injection device closer to a patient body, or (3) a third gesture to hold the injection device at a specific position or a specific orientation.3. The system ...

CONTROLLING MEDICAL DEVICE OPERATION AND FEATURES BASED ON DETECTED PATIENT SLEEPING STATUS

A system includes a medical device that regulates delivery of medication to a user, a sleep detection system configured to generate user status data that indicates sleeping status of the user, and configured to communicate the user status data, and at least one controller that controls alerts associated with operation of the medical device. The at least one controller receives the user status data generated by the sleep detection system, determines, from the user status data, that the user is sleeping, activates a sleep mode alerting scheme of the medical device when it determines that the user is sleeping, and, after activating the sleep mode alerting scheme, controls generation and outputting of alerts associated with operation of the medical device in accordance with the sleep mode alerting scheme. 1. An automated method of controlling alerts associated with operation of a medical device , the method comprising:receiving user status data that indicates sleeping status of a user of the medical device, the user status data generated by a sleep detection system;determining, from the user status data, that the user is sleeping;in response to the determining, activating a sleep mode alerting scheme of the medical device; andafter activating the sleep mode alerting scheme, controlling generation and outputting of alerts associated with operation of the medical device in accordance with the sleep mode alerting scheme.2. The method of claim 1 , wherein the sleep mode alerting scheme silences at least one alert while the user is asleep.3. The method of claim 1 , wherein the sleep mode alerting scheme queues at least one alert for subsequent presentation to the user.4. The method of claim 1 , wherein the sleep mode alerting scheme delays outputting of at least one alert while the user is asleep.5. The method of claim 1 , wherein the sleep mode alerting scheme changes a default output type claim 1 , for at least one alert claim 1 , to an elevated output type that is more ...

CONTROLLING MEDICAL INFUSION DEVICE OPERATION AND FEATURES BASED ON DETECTED PATIENT SLEEPING STATUS

A method of operating an insulin infusion device involves: operating the infusion device in an automatic mode to automatically control delivery of insulin to a user, in accordance with a first target glucose setpoint value; receiving user status data that indicates sleeping status of the user, the user status data generated by a sleep detection system; and determining, from the user status data, that the user is sleeping while the insulin infusion device is operating in the automatic mode. In response to the determining, the method transitions from the first target glucose setpoint value to a second (different) target glucose setpoint value for use during the automatic mode, the transitioning occurring without user input. The method continues to operate the infusion device in the automatic mode to automatically control delivery of insulin to the user, in accordance with the second target glucose setpoint value. 1. A method of operating an insulin infusion device comprising a fluid pump mechanism and at least one controller that regulates operation of the fluid pump mechanism to deliver insulin from the insulin infusion device , the method comprising:operating the insulin infusion device in an automatic mode to automatically control delivery of insulin to a user, in accordance with a first target glucose setpoint value;receiving user status data that indicates sleeping status of the user, the user status data generated by a sleep detection system;determining, from the user status data, that the user is sleeping while the insulin infusion device is operating in the automatic mode;in response to the determining, transitioning from the first target glucose setpoint value to a second target glucose setpoint value for use during the automatic mode, the transitioning occurring without user input, and the second target glucose setpoint value different than the first target glucose setpoint value; andcontinuing to operate the insulin infusion device in the automatic mode to ...

Adjusting diabetes alerts and therapy based on gesture-based detection of vehicle operation

One or more processors may be configured to detect whether a patient with diabetes is operating a vehicle based on one or more detected gestures. Based on the detection of operating the vehicle, the one or more processors may cause a patient device to output alerts according to a driving alert protocol. In another example, based on the detection of operating the vehicle, one or more processors may cause an insulin pump to operate according to a driving therapy protocol.

DATA MODIFICATION FOR PREDICTIVE OPERATIONS AND DEVICES INCORPORATING SAME

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. 1. A method of operating a device , the method comprising:obtaining a sequence of measurements indicative of a condition of a user;modifying one or more unusable measurements in the sequence using one or more other measurements in the sequence to obtain a modified sequence of measurements;determining a predicted value for the condition based at least in part on the modified sequence of measurements; andoperating the device in a manner that is influenced by the predicted value.2. The method of claim 1 , the device comprising an infusion device capable of delivering fluid to the user claim 1 , the fluid influencing the condition of the user claim 1 , wherein operating the device comprises operating the infusion device in a manner that is influenced by the predicted value.3. The method of claim 2 , the infusion device being capable of delivering insulin to the user claim 2 , wherein:obtaining the sequence of measurements comprises obtaining a sequence of glucose measurements;modifying one or more unusable measurements in the sequence comprises modifying one or more unusable glucose measurements in the sequence using one or more usable glucose measurements in the sequence to obtain a modified sequence of glucose measurements;determining the predicted value comprises ...

DETERMINATION OF ADJUSTMENTS TO FLUID DELIVERY SETTINGS

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 ane 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. 120-. (canceled)21. A device comprising:one or more processors; and{'claim-text': ['accessing an input meal size category, wherein the input meal size category was 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, wherein 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;', 'determining a bolus dosage value of insulin based at least in part on the person-specific carbohydrate amount; and', 'causing administration of ...

FLUID INFUSION SYSTEM THAT AUTOMATICALLY DETERMINES AND DELIVERS A CORRECTION BOLUS

A method of controlling an insulin infusion device involves controlling the device to operate in an automatic basal insulin delivery mode, obtaining a blood glucose measurement for the user, and initiating a correction bolus procedure when: the measurement exceeds a correction bolus threshold value; and a maximum basal insulin infusion rate is reached during the automatic basal insulin delivery mode. The correction bolus procedure calculates an initial correction bolus amount, and scales the initial amount to obtain a final correction bolus amount, such that a predicted future blood glucose level resulting from simulated delivery of the final correction bolus amount exceeds a low blood glucose threshold level. The final amount is delivered to the user during operation in the automatic basal insulin delivery mode. 1. A system comprising:one or more processors; and determining that a current glucose level exceeds a threshold value for delivery of a correction bolus;', 'calculating an amount of insulin for the correction bolus;', 'predicting a future glucose level that would result from delivery of the calculated amount of insulin for the correction bolus;', 'comparing the future glucose level to a threshold level for hypoglycemia; and', 'causing delivery of the correction bolus in the calculated amount when the future glucose level exceeds the threshold level for hypoglycemia., 'one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of2. The system of claim 1 , wherein predicting the future glucose level comprises simulating delivery of the calculated amount of insulin for the correction bolus.3. The system of claim 1 , wherein predicting the future glucose level comprises modeling a patient's glycemic response to insulin delivery.4. The system of claim 1 , wherein calculating the amount of insulin comprises determining a difference between the current glucose level and a target glucose ...

Diabetes therapy based on determination of food item

Devices, systems, and techniques for guiding therapy delivery to a diabetes patient is described. Some devices, systems, and techniques proactively monitor the patient's food consumption and (if needed) adapt the patient's diabetes therapy accordingly. In one example, a system comprises one or more sensors configured to capture a representation of the object, and processing circuitry configured to determine data corresponding to the representation of the object, wherein the data comprises information identifying the object as a particular food item; generate food item information based on the information identifying the object as the particular food item, wherein the food item information comprises at least one of nutrition information or volume information of the particular food item, generate therapy information for the patient based on the food item information, and output content indicative of at least one of the therapy information or the food item information.

INFUSION DEVICES AND RELATED MEAL BOLUS ADJUSTMENT METHODS

Medical devices and related systems and operating methods are provided. A method of operating an infusion device capable of delivering fluid influencing a physiological condition to a patient involves obtaining an event indication, such as a meal indication, determining an initial bolus amount based on the event indication, and determining predicted values for the physiological condition of the patient during a time window into the future based at least in part on the initial bolus amount. When the predicted values violate a threshold during the time window, the control system identifies an adjusted bolus amount that results in the predicted values for the physiological condition satisfying the threshold during the time window from within a search space defined by the initial bolus amount and operates an actuation arrangement of the infusion device to deliver the adjusted bolus amount of the fluid to the patient. 1. A method of operating an infusion device capable of delivering fluid influencing a physiological condition to a patient , the method comprising:obtaining, by a control system associated with the infusion device, an event indication;determining, by the control system, an initial bolus amount based on the event indication;determining, by the control system, predicted values for the physiological condition of the patient during a time window based at least in part on the initial bolus amount; and identifying, by the control system, an adjusted bolus amount within a search space defined by the initial bolus amount that results in the predicted values for the physiological condition satisfying the threshold during the time window; and', 'operating, by the control system, an actuation arrangement of the infusion device to deliver the adjusted bolus amount of the fluid to the patient., 'when the predicted values violate a threshold during the time window2. The method of claim 1 , wherein identifying the adjusted bolus amount comprises maximizing the adjusted ...

FLUID INFUSION SYSTEM THAT AUTOMATICALLY DETERMINES AND DELIVERS A CORRECTION BOLUS

A method of controlling an insulin infusion device involves controlling the device to operate in an automatic basal insulin delivery mode, obtaining a blood glucose measurement for the user, and initiating a correction bolus procedure when: the measurement exceeds a correction bolus threshold value; and a maximum basal insulin infusion rate is reached during the automatic basal insulin delivery mode. The correction bolus procedure calculates an initial correction bolus amount, and scales the initial amount to obtain a final correction bolus amount, such that a predicted future blood glucose level resulting from simulated delivery of the final correction bolus amount exceeds a low blood glucose threshold level. The final amount is delivered to the user during operation in the automatic basal insulin delivery mode. 1. A method of controlling operation of an insulin infusion device comprising a fluid reservoir for insulin to be delivered from the insulin infusion device to a body of a user , and further comprising at least one processor device to perform the method , comprising:controlling the insulin infusion device to operate in an automatic basal insulin delivery mode;obtaining a blood glucose measurement that indicates a current blood glucose level of the user; calculating an initial correction bolus amount for the user;', 'scaling the initial correction bolus amount to obtain a final correction bolus amount for the user, such that a predicted future blood glucose level of the user resulting from simulated delivery of the final correction bolus amount exceeds a low blood glucose threshold level; and', 'delivering the final correction bolus amount to the body of the user during operation in the automatic basal insulin delivery mode., 'initiating a correction bolus procedure when: (1) the blood glucose measurement exceeds a correction bolus threshold value; and (2) a maximum allowable basal insulin infusion rate (Umax) has been reached during operation in the ...

INSULIN INFUSION DEVICE WITH CONFIGURABLE TARGET BLOOD GLUCOSE VALUE FOR AUTOMATIC BASAL INSULIN DELIVERY OPERATION

An insulin infusion device and related operating methods are disclosed. An operating method maintains a configurable, patient-specific, target glucose setpoint for a user of the insulin infusion device, collects historical data associated with operation of the insulin infusion device, and calculates, from the historical data, a target glucose setpoint profile for the user of the insulin infusion device. A current target glucose setpoint value is automatically adjusted over time during a closed-loop operating mode of the insulin infusion device, in accordance with the calculated target glucose setpoint profile. In certain embodiments, the historical data is analyzed to determine a clinically preferred target glucose setpoint value for the user, which is stored for use during the closed-loop operating mode. 1. An insulin infusion device comprising:a drive system;at least one processor device that regulates operation of the drive system to deliver insulin from a fluid reservoir;a user interface comprising at least one human-machine interface element;a display element; and maintaining a configurable, patient-specific, target glucose setpoint for a user of the insulin infusion device;', 'obtaining a target glucose setpoint profile for the user of the insulin infusion device, the target glucose setpoint profile generated from historical data associated with operation of the insulin infusion device; and', 'automatically adjusting a current target glucose setpoint value over time during a closed-loop operating mode of the insulin infusion device, in accordance with the obtained target glucose setpoint profile., 'at least one memory element associated with the at least one processor device, the at least one memory element storing processor-executable instructions configurable to be executed by the at least one processor device to perform a method of controlling operation of the insulin infusion device, the method comprising2. The insulin infusion device of claim 1 , wherein ...

INSULIN INFUSION DEVICE WITH EFFICIENT CONFIRMATION ROUTINE FOR BLOOD GLUCOSE MEASUREMENTS

An insulin infusion device and a related operating method are disclosed. The method obtains a blood glucose (BG) measurement of a blood sample from a user, displays the BG measurement on a display element of the infusion device, and receives a confirmation input that indicates user acceptance of the displayed BG measurement. In response to the confirmation input, a glucose sensor calibration routine is automatically initiated, and an insulin bolus calculation is automatically initiated. The calibration routine and the bolus calculation use the confirmed BG measurement. The method continues by controlling delivery of insulin, in accordance with the calculated insulin bolus, from a fluid reservoir of the insulin infusion device. The sensor calibration routine and the insulin bolus calculation are both performed without any additional user involvement or interaction with the user interface other than the user acceptance of the displayed BG measurement. 1. An insulin infusion device comprising:a drive system;at least one processor device that regulates operation of the drive system to deliver insulin from a fluid reservoir;a user interface comprising at least one human-machine interface element;a display element; and obtaining, at the insulin infusion device, a blood glucose (BG) measurement of a blood sample from a user, the BG measurement generated by a BG meter device;', 'displaying the BG measurement on the display element;', 'receiving, from the user interface, a confirmation input that indicates user acceptance of the BG measurement as displayed;', 'in response to receiving the confirmation input, automatically initiating a glucose sensor calibration routine that uses at least the BG measurement as confirmed;', 'in response to receiving the confirmation input, automatically initiating an insulin bolus calculation that uses at least the BG measurement as confirmed, resulting in a calculated insulin bolus; and', 'controlling delivery of insulin, in accordance with ...

Healthcare service management via remote monitoring and patient modeling

Devices, systems, and techniques for therapy delivery and healthcare management is described. In one example, a system comprises a delivery device configured to execute therapy information comprising a treatment schedule specifying one or more treatments over a time period, wherein for each of the one or more treatments, the therapy information comprises a treatment type and a treatment amount; and processing circuitry configured to: determine a modification to the therapy information based on a recommendation of a digital twin, wherein the digital twin determines an estimated glucose level expected to be within a healthy range if the delivery device executes the modification to therapy information; and in response to physician review of the modification to the therapy information, output, to a healthcare provider system for the patient, data indicating completion of a healthcare service corresponding to the physician review.

SYSTEMS FOR WEARABLE INFUSION PORT AND ASSOCIATED PUMP

A pump for delivering a fluid includes a pump housing that defines at least one reservoir having a circumferentially open first end, a circumferentially closed second end and a chamber to receive the fluid. The pump includes a plunger assembly having at least one plunger arm and a cannula fluidly coupled to the plunger arm to dispense the fluid from the pump. The plunger arm is receivable within the first end of the reservoir, and the at least one plunger arm defining an internal conduit to receive the fluid from the at least one fluid reservoir. The internal conduit is fluidly coupled to the cannula. The plunger assembly is movable in a first direction relative to the pump housing to advance the plunger arm within the fluid reservoir to dispense the fluid from the fluid reservoir out of the pump via the cannula. 1. A pump for delivering a fluid , comprising:a pump housing that defines at least one reservoir having a circumferentially open first end, a circumferentially closed second end and a chamber defined between the first end and the second end to receive the fluid; anda plunger assembly having a plunger base, at least one plunger arm and a cannula, the at least one plunger arm coupled to a perimeter of the plunger base and the cannula coupled proximate a center of the plunger base, the at least one plunger arm receivable within the first end of the at least one fluid reservoir, the at least one plunger arm defining an internal conduit to receive the fluid from the at least one fluid reservoir, the internal conduit is fluidly coupled to a base conduit defined in the plunger base, the base conduit fluidly coupled to the cannula, and the plunger assembly is movable in a first direction relative to the pump housing to advance the at least one plunger arm within the at least one fluid reservoir to dispense the fluid from the at least one fluid reservoir out of the pump via the cannula.2. The pump of claim 1 , further comprising a biasing member coupled to the ...

SYSTEMS FOR WEARABLE INFUSION PORT AND ASSOCIATED PUMP

A wearable infusion port for infusing a fluid includes a first housing that defines an inlet port to receive the fluid, and a second housing coupled to the first housing. The second housing is to be coupled to an anatomy. The wearable infusion port includes a valve assembly fluidly coupled to the inlet port, and the valve assembly is movable from a closed state to an opened state to dispense the fluid. The wearable infusion port includes a cannula assembly extending through the first housing and the second housing, and the cannula assembly includes a cannula fluidly coupled to the valve assembly. The cannula is to be coupled to the anatomy. The wearable infusion port includes a flow sensor fluidly coupled to the inlet port and the cannula. The flow sensor is fluidly coupled upstream from the cannula to observe an amount of fluid received by the cannula. 1. A wearable infusion port for infusing a fluid , comprising:a first housing that defines an inlet port to receive the fluid;a second housing coupled to the first housing, the second housing to be coupled to an anatomy;a valve assembly fluidly coupled to the inlet port to receive the fluid, the valve assembly movable from a closed state to an opened state to dispense the fluid;a cannula assembly extending through the first housing and the second housing, the cannula assembly including a cannula fluidly coupled to the valve assembly to receive the fluid, the cannula to be coupled to the anatomy to infuse the fluid into the anatomy; anda flow sensor fluidly coupled to the inlet port and the cannula, the flow sensor fluidly coupled upstream from the cannula to observe an amount of fluid received by the cannula.2. The wearable infusion port of claim 1 , wherein the valve assembly is enclosed by the first housing and the second housing claim 1 , and the valve assembly includes a valve housing and a shaft claim 1 , and the shaft is movable relative to the valve housing to move the valve assembly between the closed state ...

SYSTEMS FOR WEARABLE INFUSION PORT AND ASSOCIATED PUMP

A pump for delivering a fluid includes a pump housing that defines at least one reservoir having a circumferentially open first end, a circumferentially closed second end and a chamber to receive the fluid. The pump includes a plunger assembly having at least one plunger arm and a cannula fluidly coupled to the plunger arm to dispense the fluid from the pump. The plunger arm is receivable within the first end of the reservoir, and the at least one plunger arm defining an internal conduit to receive the fluid from the at least one fluid reservoir. The internal conduit is fluidly coupled to the cannula. The plunger assembly is movable in a first direction relative to the pump housing to advance the plunger arm within the fluid reservoir to dispense the fluid from the fluid reservoir out of the pump via the cannula. 1. A pump for delivering a fluid , comprising:a pump housing that defines at least one reservoir having a circumferentially open first end, a circumferentially closed second end and a chamber defined between the first end and the second end to receive the fluid; anda plunger assembly having at least one plunger arm and a cannula fluidly coupled to the at least one plunger arm to dispense the fluid from the pump, the at least one plunger arm receivable within the first end of the at least one fluid reservoir, the at least one plunger arm defining an internal conduit to receive the fluid from the at least one fluid reservoir, the internal conduit is fluidly coupled to the cannula, and the plunger assembly is movable in a first direction relative to the pump housing to advance the at least one plunger arm within the at least one fluid reservoir to dispense the fluid from the at least one fluid reservoir out of the pump via the cannula.2. The pump of claim 1 , further comprising a biasing member coupled to the plunger assembly to move the plunger assembly relative to the pump housing to dispense the fluid from the at least one fluid reservoir.3. The pump of ...

SYNERGISTIC FEATURES AND FUNCTIONS RELATED TO OPERATION OF A MEDICATION DELIVERY SYSTEM AND A PHYSICAL ACTIVITY DETECTION SYSTEM

Systems and related operating methodologies are disclosed. An exemplary operating method obtains sensor data that indicates a physiological characteristic of the user, the sensor data provided by an analyte sensor, and determines that a current level of the physiological characteristic differs from a user-specific target level by a quantifiable amount. The method continues by searching an activity correlation database to locate one or more physical activity events correlated with the quantifiable amount of the physiological characteristic. The activity correlation database is populated with event-correlated physiological responses that associate physical activity events with corresponding changes in the physiological characteristic. A recommendation is provided for the user. The recommendation specifies the one or more physical activity events. 1. A method comprising:processing activity-identifying data to identify and characterize a plurality of physical activity events, the activity-identifying data provided by an activity detection system during physical activity of the user;obtaining sensor data that indicates a physiological characteristic of the user, the sensor data provided by an analyte sensor;processing the obtained sensor data and at least some of the activity-identifying data to correlate the plurality of physical activity events with corresponding changes in the physiological characteristic as indicated by the obtained sensor data, resulting in event-correlated physiological responses for the user; andmaintaining an activity correlation database for the event-correlated physiological responses.2. The method of claim 1 , further comprising:obtaining additional sensor data that indicates a current level of the physiological characteristic of the user;determining that the current level of the physiological characteristic differs from a user-specific target level by a quantifiable amount;searching the activity correlation database to locate a particular ...

CONTEXT-SENSITIVE PREDICTIVE OPERATION OF A MEDICATION DELIVERY SYSTEM IN RESPONSE TO GESTURE-INDICATED ACTIVITY CHANGES

Gesture-informed patient management systems and related medical devices and operating methods are provided. A method of operating a medical device involves identifying a current operational context, predicting an occurrence of an event based at least in part on historical data associated with the patient and a correlation between the current operational context and the event, automatically configuring operation of the medical device to influence a physiological condition of the patient to account for the predicted occurrence of the event, and after configuring the operation of the medical device to account for the predicted occurrence of the event, automatically reconfiguring the operation of the medical device in response to detected gesture data influenced by an output of a sensing arrangement. 1. A method of operating a medical device capable of influencing a physiological condition of a patient using a sensing arrangement capable of detecting physical movement by the patient , the method comprising:identifying, by a control system associated with the medical device, a current operational context;predicting, by the control system, an occurrence of an event based at least in part on historical data associated with the patient and a correlation between the current operational context and the event, resulting in a predicted occurrence of the event;automatically configuring operation of the medical device to influence the physiological condition of the patient to account for the predicted occurrence of the event; andafter configuring the operation of the medical device to account for the predicted occurrence of the event, automatically reconfiguring the operation of the medical device in response to detected gesture data influenced by an output of the sensing arrangement.2. The method of claim 1 , wherein automatically reconfiguring the operation of the medical device comprises automatically reconfiguring the operation of the medical device to mitigate the ...

METHOD AND SYSTEM FOR TRAINING A MATHEMATICAL MODEL OF A USER BASED ON DATA RECEIVED FROM A DISCRETE INSULIN THERAPY SYSTEM

A method, system and non-transient computer-readable medium are provided for training a mathematical model of a user based on data received from a discrete insulin therapy system. Training data from a discrete insulin therapy system of a user is received that includes therapy-related data and settings (data that indicates: insulin delivery to the user during a period; carbohydrate intake by the user during the period; and blood glucose levels of the user during the period. A mathematical model that represents physiology of the user can be trained based on the training data to generate an adapted mathematical model of the user that simulates a physiological blood glucose response of the user. 1. A method , comprising:receiving training data from a discrete insulin therapy system of a user, the training data comprising: therapy-related data and settings, comprising data that indicates: insulin delivery to the user during a period; carbohydrate intake by the user during the period; and blood glucose levels of the user during the period; andtraining a mathematical model that represents physiology of the user based on the training data to generate an adapted mathematical model of the user that simulates a physiological blood glucose response of the user.2. The method according to claim 1 , further comprising:detecting, via an event detection system, events during the period, wherein each detected event comprises: a specific activity that is indicative of a physical behavior of the user; andtraining the mathematical model that represents the physiology of the user based on the training data and at least one of the detected events to generate the adapted mathematical model of the user that simulates a physiological blood glucose response of the user in response to at least one of the detected events.3. The method according to claim 2 , wherein the specific activities that are indicative of the physical behavior of the user comprise one or more of: a meal ingestion event; a ...

INFUSION SYSTEMS AND RELATED PERSONALIZED BOLUSING METHODS

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a patient involves obtaining, by a control system associated with the infusion device, an input meal indication, obtaining historical data for the patient associated with the input meal indication, determining an estimated carbohydrate amount corresponding to the input meal indication based at least in part on the historical data, determining a bolus dosage of the insulin based at least in part on the estimated carbohydrate amount, and operating an actuation arrangement of the infusion device to deliver the bolus dosage of the insulin to the patient. 1. A method of operating an infusion device capable of delivering insulin to a patient , the method comprising:obtaining, by a control system associated with the infusion device, an input meal indication;obtaining historical data for the patient associated with the input meal indication;determining an estimated carbohydrate amount corresponding to the input meal indication based at least in part on the historical data;determining, by the control system, a bolus dosage of the insulin based at least in part on the estimated carbohydrate amount; andoperating, by the control system, an actuation arrangement of the infusion device to deliver the bolus dosage of the insulin to the patient.2. The method of claim 1 , wherein:obtaining the input meal indication comprises obtaining a qualitative meal size via a user interface;obtaining the historical data comprises obtaining historical meal data corresponding to historical meal events associated with the qualitative meal size; anddetermining the estimated carbohydrate amount comprises determining the estimated carbohydrate amount based at least in part on historical carbohydrate amounts associated with the historical meal events associated with the qualitative meal size.3. The method of claim 1 , wherein:obtaining the ...

INFUSION SYSTEMS AND METHODS FOR PROSPECTIVE CLOSED-LOOP ADJUSTMENTS

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a patient involves predicting, by a control system associated with the infusion device, a future occurrence of an event based at least in part on historical data associated with the patient, and prior to the future occurrence of the event, automatically adjusting a control parameter for operating the infusion device based at least in part on the event and automatically operating an actuation arrangement of the infusion device to deliver the fluid to the patient based at least in part on a current measurement of the physiological condition and the adjusted control parameter. 1. A method of operating an infusion device capable of delivering fluid to a patient , the fluid influencing a physiological condition of the patient , the method comprising:predicting, by a control system associated with the infusion device, a future occurrence of an event based at least in part on historical data associated with the patient; and automatically adjusting, by the control system, a control parameter for operating the infusion device based at least in part on the event; and', 'automatically operating, by the control system, an actuation arrangement of the infusion device to deliver the fluid to the patient based at least in part on a current measurement of the physiological condition and the adjusted control parameter., 'prior to the future occurrence of the event2. The method of claim 1 , further comprising determining a predicted characteristic of the event based at least in part on the historical data associated with the patient claim 1 , wherein automatically adjusting the control parameter comprises automatically adjusting the control parameter based at least in part on the predicted characteristic.3. The method of claim 2 , the event comprising a meal in the future and the historical data comprising historical meal ...

PREDICTIVE INFUSION DEVICE OPERATIONS AND RELATED METHODS AND SYSTEMS

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 determining a current value for a physiological condition of the user influenced by the fluid violates a first threshold value, determining a predicted value for the physiological condition of the user violates a second threshold value, and automatically altering operation of the infusion device to modify delivery of the fluid to the user after determining the predicted value violates the second threshold value when the current value violates the first threshold value. 1. A system for fluid delivery , the system comprising:one or more processors; and verifying that a refractory time period has elapsed after enabling operation of a motor operable to deliver fluid to a body of a user; and', 'suspending operation of the motor after verifying that the refractory time period has elapsed, and in response to determining a current measurement value for a physiological condition in the body of the user is less than a suspend enable threshold value and a predicted value for the physiological condition of the user is less than a predictive suspend threshold value., 'one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of2. The system of claim 1 , wherein the one or more processor-readable storage media further store instructions claim 1 , which claim 1 , when executed by the one or more processors claim 1 , cause performance of:enabling operation of the motor in response to determining the current measurement value is greater than a resume enable threshold value and the predicted value is greater than a predictive resume threshold value.3. The system of claim 1 , wherein the one or more processor-readable storage media further store instructions claim 1 , which claim 1 , when executed by the one or more processors claim ...

METHODS FOR OPERATING MODE TRANSITIONS AND RELATED INFUSION DEVICES AND SYSTEMS

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method involves operating an infusion device to deliver fluid to a user in accordance with a first operating mode of a plurality of operating modes, obtaining operational information pertaining to the first operating mode, and obtaining clinical information pertaining to the user. A destination operating mode of the plurality of operating modes is determined based at least in part on the operational information and the clinical information, and the infusion device is operated to deliver the fluid in accordance with the destination operating mode in a manner that is influenced by at least a portion of the operational information pertaining to the first operating mode. 1. A method of operating an infusion device operable to deliver fluid to a user , the method comprising:operating the infusion device to deliver the fluid in an automated manner in accordance with a first operating mode of a plurality of different operating modes, each operating mode of the plurality of different operating modes generating commands for delivering the fluid to the user in an automated manner in accordance with a different delivery control scheme associated therewith;obtaining operational information pertaining to the operating of the infusion device in accordance with the first operating mode;obtaining clinical information pertaining to the user;determining a destination operating mode of the plurality of different operating modes based at least in part on the operational information and the clinical information;transitioning operation of the infusion device from the first operating mode to the destination operating mode, wherein the destination operating mode is initialized using at least a portion of the operational information pertaining to the operating of the infusion device in accordance with the first operating mode; andoperating the infusion device to deliver the fluid in accordance with ...

ADVANCE DIAGNOSIS OF INFUSION DEVICE OPERATING MODE VIABILITY

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a user in accordance with an operating mode involves obtaining operational information pertaining to one or more prior instances of the operating mode, obtaining status information pertaining to the infusion device, and determining a diagnosis time based at least in part on the operational information. The diagnosis time is prior to a subsequent instance of the operating mode. At the diagnosis time, the method automatically determines the viability of the subsequent instance of the operating mode based at least in part on the status information and automatically generates a notification indicative of a recommended action for the user based at least in part on the viability. 1. A method of operating an infusion device to deliver fluid to a user in accordance with an operating mode , the method comprising:obtaining operational information pertaining to one or more prior instances of the operating mode;obtaining status information pertaining to the infusion device;determining a diagnosis time based at least in part on the operational information, the diagnosis time being prior to a subsequent instance of the operating mode;automatically determining viability of the subsequent instance of the operating mode based at least in part on the status information at the diagnosis time; andautomatically generating a notification indicative of a recommended action for the user based at least in part on the viability.2. The method of claim 1 , the status information including glucose measurement data for the user claim 1 , wherein automatically determining the viability at the diagnosis time comprises determining whether one or more control parameters for the operating mode can be calculated based on the glucose measurement data.3. The method of claim 2 , wherein automatically generating the notification comprises automatically ...

INFUSION DEVICES AND RELATED MEAL BOLUS ADJUSTMENT METHODS

Medical devices and related systems and operating methods are provided. A method of operating an infusion device capable of delivering fluid influencing a physiological condition to a patient involves obtaining an event indication, such as a meal indication, determining an initial bolus amount based on the event indication, and determining predicted values for the physiological condition of the patient during a time window into the future based at least in part on the initial bolus amount. When the predicted values violate a threshold during the time window, the control system identifies an adjusted bolus amount that results in the predicted values for the physiological condition satisfying the threshold during the time window from within a search space defined by the initial bolus amount and operates an actuation arrangement of the infusion device to deliver the adjusted bolus amount of the fluid to the patient. 1. A system comprising:one or more processors; and determining an initial bolus amount;', 'determining predicted values for a physiological condition of a patient during a time window based at least in part on the initial bolus amount; and', identifying an adjusted bolus amount within a search space that results in the predicted values for the physiological condition satisfying the threshold during the time window, and', 'causing delivery of the adjusted bolus amount of fluid to the patient by an infusion device., 'when the predicted values violate a threshold during the time window], 'one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of2. The system of claim 1 , wherein the search space is defined in part by the initial bolus amount.3. The system of claim 1 , wherein the processor-readable storage media stores further instructions which claim 1 , when executed by the one or more processors claim 1 , cause performance of:obtaining an event indication,wherein determining ...

METHODS FOR OPERATING MODE TRANSITIONS AND RELATED INFUSION DEVICES AND SYSTEMS

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method involves operating an infusion device to deliver fluid to a user in accordance with a first operating mode of a plurality of operating modes, obtaining operational information pertaining to the first operating mode, and obtaining clinical information pertaining to the user. A destination operating mode of the plurality of operating modes is determined based at least in part on the operational information and the clinical information, and the infusion device is operated to deliver the fluid in accordance with the destination operating mode in a manner that is influenced by at least a portion of the operational information pertaining to the first operating mode. 120-. (canceled)21. A processor-implemented method comprising:obtaining operational information of a fluid delivery device operating in accordance with a first automated operating mode of a plurality of automated operating modes, the operational information including a timer value of the first operating mode, the timer value corresponding to one of a group including a suspension timer and a refractory timer;obtaining clinical information pertaining to a user of the fluid delivery device;identifying, from the plurality of automated operating modes and based on the operational information and the clinical information, a second automated operating mode that is different than the first automated operating mode; andcausing operation of the fluid delivery device to transition from the first automated operating mode to the second automated operating mode based on setting a timer value of the second automated operating mode equal to the timer value of the first automated operating mode, the timer value of the second automated operating mode corresponding to one of a group including a suspension timer and a refractory timer.22. The method of claim 21 , wherein the operational information comprises an exit reason for the ...

Infusion systems and related personalized bolusing methods

Infusion systems, infusion devices, and related operating methods are provided. A method of operating an infusion device involves obtaining an input qualitative event attribute, such as a meal size, obtaining a quantitative event attribute associated with the qualitative event attribute that is representative of a subset of historical events for a patient associated with the qualitative event attribute, such as a representative carbohydrate amount for the qualitative meal size, and thereafter determine a dosage of fluid based at least in part on the quantitative event attribute and operate the infusion device to deliver the dosage of the fluid to the patient.

ADVANCE DIAGNOSIS OF INFUSION DEVICE OPERATING MODE VIABILITY

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a user in accordance with an operating mode involves obtaining operational information pertaining to one or more prior instances of the operating mode, obtaining status information pertaining to the infusion device, and determining a diagnosis time based at least in part on the operational information. The diagnosis time is prior to a subsequent instance of the operating mode. At the diagnosis time, the method automatically determines the viability of the subsequent instance of the operating mode based at least in part on the status information and automatically generates a notification indicative of a recommended action for the user based at least in part on the viability. 1. A method of operating an infusion device to deliver fluid to a user in accordance with an operating mode , the method comprising:obtaining operational information pertaining to one or more prior instances of the operating mode;obtaining status information pertaining to the infusion device;determining a diagnosis time based at least in part on the operational information, the diagnosis time being prior to a subsequent instance of the operating mode;automatically determining viability of the subsequent instance of the operating mode based at least in part on the status information at the diagnosis time; andautomatically generating a notification indicative of a recommended action for the user based at least in part on the viability.2. The method of claim 1 , wherein automatically determining viability comprises analyzing future viability of entering the operating mode at an expected start time to determine whether the operating mode will be viable at the expected start time.3. The method of claim 1 , wherein the recommended action comprises a remedial action that may be undertaken by the user to improve future viability of the operating mode in ...

INFUSION DEVICES AND RELATED METHODS FOR THERAPY RECOMMENDATIONS

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a body of a user involves autonomously operating the infusion device to deliver a variable rate of infusion of the fluid in a first operating mode, determining a residual amount of active fluid in the body of the user based at least in part on the variable rate of infusion delivered by the infusion device in the first operating mode, and in response to identifying a change in operating mode from the first operating mode, generating a user notification based at least in part on the residual amount of active fluid. The residual amount represents infused fluid that exceeds a nominal amount corresponding to a reference rate of infusion for maintaining a physiological condition in the body of the user at a desired level. 1. A method of operating an infusion device to deliver fluid to a body of a user , the method comprising:autonomously operating the infusion device to deliver a variable rate of infusion of the fluid in a first operating mode;determining a residual amount of active fluid in the body of the user based at least in part on the variable rate of infusion delivered by the infusion device in the first operating mode; andin response to identifying a change in operating mode from the first operating mode, generating a user notification based at least in part on the residual amount of active fluid.2. The method of claim 1 , wherein determining the residual amount of active fluid comprises:determining a total amount of active fluid in the body of the user based at least in part on the variable rate of infusion;determining a nominal amount of active fluid in the body of the user based at least in part on a reference rate of infusion; anddetermining the residual amount based on a difference between the total amount and the nominal amount.3. The method of claim 2 , wherein determining the nominal amount comprises ...

METHODOLOGY TO RECOMMEND AND IMPLEMENT ADJUSTMENTS TO A FLUID INFUSION DEVICE OF A MEDICATION DELIVERY SYSTEM

Disclosed here is a computer-based device and related methodology that manages use of a dual-mode insulin infusion device. The infusion device operates in a manual insulin delivery mode or an automated closed-loop insulin delivery mode. The methodology receives closed-loop pump data for a user of the infusion device, the closed-loop pump data including data indicating basal insulin delivered by the infusion device during operation in the automated closed-loop insulin delivery mode for at least one defined period of time. The methodology analyzes the closed-loop pump data to generate updated basal rate data for the user, and generates, from the updated basal rate data, a recommendation to adjust a manual-mode basal rate setting of the infusion device. In certain scenarios, the infusion device is controlled such that the manual-mode basal rate setting is adjusted in accordance with the recommendation. 1. A method of managing use of a dual-mode insulin infusion device that operates in a manual insulin delivery mode or an automated closed-loop insulin delivery mode , the method comprising:receiving closed-loop pump data for a user of the insulin infusion device, the closed-loop pump data comprising data indicating basal insulin delivered by the insulin infusion device to the user during operation in the automated closed-loop insulin delivery mode for at least one defined period of time;analyzing the received closed-loop pump data to generate updated basal rate data for the user;generating, from the updated basal rate data, a recommendation to adjust a manual-mode basal rate setting of the insulin infusion device, wherein the insulin infusion device implements the manual-mode basal rate setting during operation in the manual insulin delivery mode; andcontrolling the insulin infusion device to adjust the manual-mode basal rate setting in accordance with the recommendation.2. The method of claim 1 , wherein:the receiving step, the analyzing step, and the generating step ...

PERSONALIZED CLOSED LOOP MEDICATION DELIVERY SYSTEM THAT UTILIZES A DIGITAL TWIN OF THE PATIENT

A medical device system and related method of automatically adjusting parameters of an insulin delivery controller of an insulin infusion device are disclosed. The methodology obtains therapy-related data associated with operation of the insulin infusion device for a number of days in the past, including sensor glucose data associated with glucose levels of the user, and meal data associated with identified meals. The obtained therapy-related data is processed to generate a suitable pharmacokinetic/pharmacodynamic (PK/PD) model of the user, wherein the PK/PD model fits at least some of the sensor glucose data obtained for the user. The PK/PD model can be used to calculate at least one adjusted parameter of the insulin delivery controller, based on additional therapy-related data associated with further operation of the insulin infusion device. The insulin delivery controller can be instructed or controlled to adjust its settings in accordance with the model-calculated parameters. 1. A method of automatically adjusting parameters of an insulin delivery controller of a dual-mode insulin infusion device that operates in a manual insulin delivery mode or an automated closed-loop insulin delivery mode to regulate delivery of insulin to a user , the method comprising:obtaining therapy-related data associated with operation of the insulin infusion device for a number of days in the past, the therapy-related data comprising sensor glucose data associated with glucose levels of the user, and the therapy-related data comprising meal data associated with identified meals;calculating, from the obtained therapy-related data, an expected value of total daily dose of insulin delivered to the user during the number of days;calculating, from the obtained therapy-related data, an expected value of a fasting blood glucose value that corresponds to fasting periods, and an expected value of estimated plasma insulin concentration at the expected value of the fasting blood glucose value; ...

PERSONALIZED CLOSED LOOP OPTIMIZATION SYSTEMS AND METHODS

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. 1. A method of automatically adjusting a control parameter for an operating mode of a medical device , the method comprising:obtaining data pertaining to a physiological condition of a patient during operation of the medical device;determining a plurality of adjusted values for the control parameter based at least in part on the data;for each of the plurality of adjusted values for the control parameter, determining a respective cost associated with the respective adjusted value for the control parameter based at least in part on the data using a cost function, resulting in a plurality of costs associated with each of the plurality of adjusted values;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; andupdating the control parameter at the medical device to the optimized value.2. The method of claim 1 , wherein:obtaining the data comprises obtaining measurement data indicative of the physiological condition of the patient; anddetermining the ...

Advance diagnosis of infusion device operating mode viability

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a user in accordance with an operating mode involves obtaining operational information pertaining to one or more prior instances of the operating mode, obtaining status information pertaining to the infusion device, and determining a diagnosis time based at least in part on the operational information. The diagnosis time is prior to a subsequent instance of the operating mode. At the diagnosis time, the method automatically determines the viability of the subsequent instance of the operating mode based at least in part on the status information and automatically generates a notification indicative of a recommended action for the user based at least in part on the viability.

Predictive infusion device operations and related methods and systems

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 determining a current value for a physiological condition of the user influenced by the fluid violates a first threshold value, determining a predicted value for the physiological condition of the user violates a second threshold value, and automatically altering operation of the infusion device to modify delivery of the fluid to the user after determining the predicted value violates the second threshold value when the current value violates the first threshold value.

Data modification for predictive operations and devices incorporating same

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.

Methods for operating mode transitions and related infusion devices and systems

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method involves operating an infusion device to deliver fluid to a user in accordance with a first operating mode of a plurality of operating modes, obtaining operational information pertaining to the first operating mode, and obtaining clinical information pertaining to the user. A destination operating mode of the plurality of operating modes is determined based at least in part on the operational information and the clinical information, and the infusion device is operated to deliver the fluid in accordance with the destination operating mode in a manner that is influenced by at least a portion of the operational information pertaining to the first operating mode.

Personalized closed loop medication delivery system that utilizes a digital twin of the patient

A medical device system and related method of automatically adjusting parameters of an insulin delivery controller of an insulin infusion device are disclosed. The methodology obtains therapy-related data associated with operation of the insulin infusion device for a number of days in the past, including sensor glucose data associated with glucose levels of the user, and meal data associated with identified meals. The obtained therapy-related data is processed to generate a suitable pharmacokinetic/pharmacodynamic (PK/PD) model of the user, wherein the PK/PD model fits at least some of the sensor glucose data obtained for the user. The PK/PD model can be used to calculate at least one adjusted parameter of the insulin delivery controller, based on additional therapy-related data associated with further operation of the insulin infusion device. The insulin delivery controller can be instructed or controlled to adjust its settings in accordance with the model-calculated parameters.

Methodology to recommend and implement adjustments to a fluid infusion device of a medication delivery system

Disclosed here is a computer-based device and related methodology that manages use of a dual-mode insulin infusion device. The infusion device operates in a manual insulin delivery mode or an automated closed-loop insulin delivery mode. The methodology receives closed-loop pump data for a user of the infusion device, the closed-loop pump data including data indicating basal insulin delivered by the infusion device during operation in the automated closed-loop insulin delivery mode for at least one defined period of time. The methodology analyzes the closed-loop pump data to generate updated basal rate data for the user, and generates, from the updated basal rate data, a recommendation to adjust a manual-mode basal rate setting of the infusion device. In certain scenarios, the infusion device is controlled such that the manual-mode basal rate setting is adjusted in accordance with the recommendation.

Insulin infusion device with configurable target blood glucose value for automatic basal insulin delivery operation

An insulin infusion device and related operating methods are disclosed. An operating method maintains a configurable, patient-specific, target glucose setpoint for a user of the insulin infusion device, collects historical data associated with operation of the insulin infusion device, and calculates, from the historical data, a target glucose setpoint profile for the user of the insulin infusion device. A current target glucose setpoint value is automatically adjusted over time during a closed-loop operating mode of the insulin infusion device, in accordance with the calculated target glucose setpoint profile. In certain embodiments, the historical data is analyzed to determine a clinically preferred target glucose setpoint value for the user, which is stored for use during the closed-loop operating mode.

Fluid infusion system that automatically determines and delivers a correction bolus

A method of controlling an insulin infusion device involves controlling the device to operate in an automatic basal insulin delivery mode, obtaining a blood glucose measurement for the user, and initiating a correction bolus procedure when: the measurement exceeds a correction bolus threshold value; and a maximum basal insulin infusion rate is reached during the automatic basal insulin delivery mode. The correction bolus procedure calculates an initial correction bolus amount, and scales the initial amount to obtain a final correction bolus amount, such that a predicted future blood glucose level resulting from simulated delivery of the final correction bolus amount exceeds a low blood glucose threshold level. The final amount is delivered to the user during operation in the automatic basal insulin delivery mode.

Infusion devices and related meal bolus adjustment methods

Medical devices and related systems and operating methods are provided. A method of operating an infusion device capable of delivering fluid influencing a physiological condition to a patient involves obtaining an event indication, such as a meal indication, determining an initial bolus amount based on the event indication, and determining predicted values for the physiological condition of the patient during a time window into the future based at least in part on the initial bolus amount. When the predicted values violate a threshold during the time window, the control system identifies an adjusted bolus amount that results in the predicted values for the physiological condition satisfying the threshold during the time window from within a search space defined by the initial bolus amount and operates an actuation arrangement of the infusion device to deliver the adjusted bolus amount of the fluid to the patient.

Insulin infusion device with efficient confirmation routine for blood glucose measurements

An insulin infusion device and a related operating method are disclosed. The method obtains a blood glucose (BG) measurement of a blood sample from a user, displays the BG measurement on a display element of the infusion device, and receives a confirmation input that indicates user acceptance of the displayed BG measurement. In response to the confirmation input, a glucose sensor calibration routine is automatically initiated, and an insulin bolus calculation is automatically initiated. The calibration routine and the bolus calculation use the confirmed BG measurement. The method continues by controlling delivery of insulin, in accordance with the calculated insulin bolus, from a fluid reservoir of the insulin infusion device. The sensor calibration routine and the insulin bolus calculation are both performed without any additional user involvement or interaction with the user interface other than the user acceptance of the displayed BG measurement.

Infusion systems and related personalized bolusing methods

Infusion systems, infusion devices, and related operating methods are provided. A method of operating an infusion device involves obtaining an input qualitative event attribute, such as a meal size, obtaining a quantitative event attribute associated with the qualitative event attribute that is representative of a subset of historical events for a patient associated with the qualitative event attribute, such as a representative carbohydrate amount for the qualitative meal size, and thereafter determine a dosage of fluid based at least in part on the quantitative event attribute and operate the infusion device to deliver the dosage of the fluid to the patient.

Systems for wearable infusion port and associated pump

A pump for delivering a fluid includes a pump housing that defines at least one reservoir having a circumferentially open first end, a circumferentially closed second end and a chamber to receive the fluid. The pump includes a plunger assembly having at least one plunger arm and a cannula fluidly coupled to the plunger arm to dispense the fluid from the pump. The plunger arm is receivable within the first end of the reservoir, and the at least one plunger arm defining an internal conduit to receive the fluid from the at least one fluid reservoir. The internal conduit is fluidly coupled to the cannula. The plunger assembly is movable in a first direction relative to the pump housing to advance the plunger arm within the fluid reservoir to dispense the fluid from the fluid reservoir out of the pump via the cannula.

Predictive infusion device operations and related methods and systems

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 determining a current value for a physiological condition of the user influenced by the fluid violates a first threshold value, determining a predicted value for the physiological condition of the user violates a second threshold value, and automatically altering operation of the infusion device to modify delivery of the fluid to the user after determining the predicted value violates the second threshold value when the current value violates the first threshold value.

Data modification for predictive operations and devices incorporating same

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.

Methods for operating mode transitions and related infusion devices and systems

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method involves operating an infusion device to deliver fluid to a user in accordance with a first operating mode of a plurality of operating modes, obtaining operational information pertaining to the first operating mode, and obtaining clinical information pertaining to the user. A destination operating mode of the plurality of operating modes is determined based at least in part on the operational information and the clinical information, and the infusion device is operated to deliver the fluid in accordance with the destination operating mode in a manner that is influenced by at least a portion of the operational information pertaining to the first operating mode.

Infusion systems and related personalized adjustment methods

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a patient involves obtaining, by a control system associated with the infusion device, an input meal indication, obtaining historical data for the patient associated with the input meal indication, determining an estimated carbohydrate amount corresponding to the input meal indication based at least in part on the historical data, determining a bolus dosage of the insulin based at least in part on the estimated carbohydrate amount, and operating an actuation arrangement of the infusion device to deliver the bolus dosage of the insulin to the patient.

PROCEDURES FOR OPERATING TRANSITIONS AND ASSOCIATED INFUSION DEVICES AND SYSTEMS

Infusion systems and related personalized bolusing methods

Infusion systems, infusion devices, and related operating methods are provided. A method of operating an infusion device involves obtaining an input qualitative event attribute, such as a meal size, obtaining a quantitative event attribute associated with the qualitative event attribute that is representative of a subset of historical events for a patient associated with the qualitative event attribute, such as a representative carbohydrate amount for the qualitative meal size, and thereafter determine a dosage of fluid based at least in part on the quantitative event attribute and operate the infusion device to deliver the dosage of the fluid to the patient.

Advance diagnosis of infusion device operating mode viability

ABSTRACT Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a user in accordance with an operating mode involves obtaining operational information pertaining to one or more prior instances of the operating mode, obtaining status information pertaining to the infusion device, and determining a diagnosis time based at least in part on the operational information. The diagnosis time is prior to a subsequent instance of the operating mode. At the diagnosis time, the method automatically determines the viability of the subsequent instance of the operating mode based at least in part on the status information and automatically generates a notification indicative of a recommended action for the user based at least in part on the viability. 46 Date Recue/Date Received 2020-10-22

Fluid infusion system that automatically determines and delivers a correction bolus

A method of controlling an insulin infusion device involves controlling the device to operate in an automatic basal insulin delivery mode, obtaining a blood glucose measurement for the user, and initiating a correction bolus procedure when: the measurement exceeds a correction bolus threshold value; and a maximum basal insulin infusion rate is reached during the automatic basal insulin delivery mode. The correction bolus procedure calculates an initial correction bolus amount, and scales the initial amount to obtain a final correction bolus amount, such that a predicted future blood glucose level resulting from simulated delivery of the final correction bolus amount exceeds a low blood glucose threshold level. The final amount is delivered to the user during operation in the automatic basal insulin delivery mode.

Personalized closed loop medication delivery system that utilizes a digital twin of the patient

A medical device system and related method of automatically adjusting parameters of an insulin delivery controller of an insulin infusion device are disclosed. The methodology obtains data associated with operation of the insulin infusion device for a number of days in the past, including sensor glucose data associated with glucose levels of the user, and meal data associated with identified meals. The obtained data is processed to generate a suitable pharmacokinetic/pharmacodynamic (PK/PD) model of the user, wherein the PK/PD model fits at least some of the sensor glucose data obtained for the user. The PK/PD model can be used to calculate at least one adjusted parameter of the insulin delivery controller, based on additional data associated with further operation of the insulin infusion device. The insulin delivery controller can be instructed or controlled to adjust its settings in accordance with the model-calculated parameters.

Methods for operating mode transitions and related infusion devices and systems

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method involves operating an infusion device to deliver fluid to a user in accordance with a first operating mode of a plurality of operating modes, obtaining operational information pertaining to the first operating mode, and obtaining clinical information pertaining to the user. A destination operating mode of the plurality of operating modes is determined based at least in part on the operational information and the clinical information, and the infusion device is operated to deliver the fluid in accordance with the destination operating mode in a manner that is influenced by at least a portion of the operational information pertaining to the first operating mode.

Personalized closed loop medication delivery system that utilizes a digital twin of the patient

A medical device system and related method of automatically adjusting parameters of an insulin delivery controller of an insulin infusion device are disclosed. The methodology obtains data associated with operation of the insulin infusion device for a number of days in the past, including sensor glucose data associated with glucose levels of the user, and meal data associated with identified meals. The obtained data is processed to generate a suitable pharmacokinetic/pharmacodynamic (PK/PD) model of the user, wherein the PK/PD model fits at least some of the sensor glucose data obtained for the user. The PK/PD model can be used to calculate at least one adjusted parameter of the insulin delivery controller, based on additional data associated with further operation of the insulin infusion device. The insulin delivery controller can be instructed or controlled to adjust its settings in accordance with the model-calculated parameters.

Infusion systems and related personalized adjustment methods

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a patient involves obtaining, by a control system associated with the infusion device, an input meal indication, obtaining historical data for the patient associated with the input meal indication, determining an estimated carbohydrate amount corresponding to the input meal indication based at least in part on the historical data, determining a bolus dosage of the insulin based at least in part on the estimated carbohydrate amount, and operating an actuation arrangement of the infusion device to deliver the bolus dosage of the insulin to the patient.

Automated super bolus generation

Techniques related to automatically generating a super bolus may include determining an amount of an augmented meal bolus to be delivered to a patient for regulating the patient's glycemic response to a meal. The amount of the augmented meal bolus may exceed a sufficient amount for counteracting a glucose level increase caused by the meal. In some embodiments, the techniques may further include determining a duration of a postprandial reduction period during which basal dosage deliveries to the patient are to be reduced. In some other embodiments, the techniques may further include delivering the augmented meal bolus to the patient prior to determining whether or not to cause reduction of basal dosage deliveries. More specifically, a glucose level of the patient may be obtained after delivery of the augmented meal bolus, and the obtained glucose level may be used to determine whether to reduce basal dosage deliveries.

Efficient confirmation of blood glucose measurements

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 receiving, via a user interface, confirmation input that indicates user acceptance of a blood glucose (BG) measurement generated by a BG meter device, in response to receiving the confirmation input, using the BG measurement for performing both glucose sensor calibration and bolus calculation, and causing delivery of a bolus based on outputting a delivery command in accordance with the bolus calculation.

Personalized closed loop medication delivery system that utilizes a digital twin of the patient

A medical device system and related method of automatically adjusting parameters of an insulin delivery controller of an insulin infusion device are disclosed. The methodology obtains data associated with operation of the insulin infusion device for a number of days in the past, including sensor glucose data associated with glucose levels of the user, and meal data associated with identified meals. The obtained data is processed to generate a suitable pharmacokinetic/pharmacodynamic (PK/PD) model of the user, wherein the PK/PD model fits at least some of the sensor glucose data obtained for the user. The PK/PD model can be used to calculate at least one adjusted parameter of the insulin delivery controller, based on additional data associated with further operation of the insulin infusion device. The insulin delivery controller can be instructed or controlled to adjust its settings in accordance with the model-calculated parameters.

Infusion systems and methods for prospective closed-loop adjustments

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a patient involves predicting, by a control system associated with the infusion device, a future occurrence of an event based at least in part on historical data associated with the patient, and prior to the future occurrence of the event, automatically adjusting a control parameter for operating the infusion device based at least in part on the event and automatically operating an actuation arrangement of the infusion device to deliver the fluid to the patient based at least in part on a current measurement of the physiological condition and the adjusted control parameter.

Advance diagnosis of operating mode viability

Techniques related to advance diagnosis of operating mode viability are disclosed. The techniques may involve obtaining status information pertaining to operation of a fluid delivery device. The status information may include at least one of a group comprising recent sensor measurement data, sensor calibration data, blood glucose reference measurement data, fluid delivery data, a current battery level of the fluid delivery device, and a current amount of fluid remaining in the fluid delivery device. The techniques may further involve determining, based on the status information, viability of transitioning to a destination operating mode of the fluid delivery device. Additionally, the techniques may involve causing generation of one or more user notifications of recommended remedial actions to improve the viability of transitioning to the destination operating mode when transitioning into the destination operating mode is determined not to be viable.

Fluid infusion system that automatically determines and delivers a correction bolus

A method of controlling an insulin infusion device involves controlling the device to operate in an automatic basal insulin delivery mode, obtaining a blood glucose measurement for the user, and initiating a correction bolus procedure when: the measurement exceeds a correction bolus threshold value; and a maximum basal insulin infusion rate is reached during the automatic basal insulin delivery mode. The correction bolus procedure calculates an initial correction bolus amount, and scales the initial amount to obtain a final correction bolus amount, such that a predicted future blood glucose level resulting from simulated delivery of the final correction bolus amount exceeds a low blood glucose threshold level. The final amount is delivered to the user during operation in the automatic basal insulin delivery mode.

Advance diagnosis of infusion device operating mode viability

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a user in accordance with an operating mode involves obtaining operational information pertaining to one or more prior instances of the operating mode, obtaining status information pertaining to the infusion device, and determining a diagnosis time based at least in part on the operational information. The diagnosis time is prior to a subsequent instance of the operating mode. At the diagnosis time, the method automatically determines the viability of the subsequent instance of the operating mode based at least in part on the status information and automatically generates a notification indicative of a recommended action for the user based at least in part on the viability.

Infusion devices for therapy recommendations

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a body of a user involves autonomously operating the infusion device to deliver a variable rate of infusion of the fluid in a first operating mode, determining a residual amount of active fluid in the body of the user based at least in part on the variable rate of infusion delivered by the infusion device in the first operating mode, and in response to identifying a change in operating mode from the first operating mode, generating a user notification based at least in part on the residual amount of active fluid. The residual amount represents infused fluid that exceeds a nominal amount corresponding to a reference rate of infusion for maintaining a physiological condition in the body of the user at a desired level.

Method and system for training a mathematical model of a user based on data received from a discrete insulin therapy system

A method, system and computer-readable medium are provided for training a mathematical model of a user based on data received from a discrete insulin therapy system. Training data from a discrete insulin therapy system of a user is received that includes therapy-related data and settings (data that indicates: insulin delivery to the user during a period; carbohydrate intake by the user during the period; and blood glucose levels of the user during the period. A mathematical model that represents physiology of the user can be trained based on the training data to generate an adapted mathematical model of the user that simulates a physiological blood glucose response of the user.

Insulin infusion device with efficient confirmation routine for blood glucose measurements

An insulin infusion device and a related operating method are disclosed. The method obtains a blood glucose (BG) measurement of a blood sample from a user, displays the BG measurement on a display element of the infusion device, and receives a confirmation input that indicates user acceptance of the displayed BG measurement. In response to the confirmation input, a glucose sensor calibration routine is automatically initiated, and an insulin bolus calculation is automatically initiated. The calibration routine and the bolus calculation use the confirmed BG measurement. The method continues by controlling delivery of insulin, in accordance with the calculated insulin bolus, from a fluid reservoir of the insulin infusion device. The sensor calibration routine and the insulin bolus calculation are both performed without any additional user involvement or interaction with the user interface other than the user acceptance of the displayed BG measurement.

Infusion devices for therapy recommendations

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a body of a user involves autonomously operating the infusion device to deliver a variable rate of infusion of the fluid in a first operating mode, determining a residual amount of active fluid in the body of the user based at least in part on the variable rate of infusion delivered by the infusion device in the first operating mode, and in response to identifying a change in operating mode from the first operating mode, generating a user notification based at least in part on the residual amount of active fluid. The residual amount represents infused fluid that exceeds a nominal amount corresponding to a reference rate of infusion for maintaining a physiological condition in the body of the user at a desired level.

Patient-specific glucose prediction systems and methods

Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. One exemplary method of monitoring a physiological condition of a patient involves obtaining current measurement data for the physiological condition of the patient provided by a sensing arrangement, obtaining a user input indicative of one or more future events associated with the patient, and in response to the user input, determining a prediction of the physiological condition of the patient in the future based at least in part on the current measurement data and the one or more future events using one or more prediction models associated with the patient, and displaying a graphical representation of the prediction on a display device.

Methods for operating mode transitions and related infusion devices and systems

ABSTRACT Infusion systems, infusion devices, and related operating methods are provided. An exemplary method involves operating an infusion device to deliver fluid to a user in accordance with a first operating mode of a plurality of operating modes, obtaining operational information pertaining to the first operating mode, and obtaining clinical information pertaining to the user. A destination operating mode of the plurality of operating modes is determined based at least in part on the operational information and the clinical information, and the infusion device is operated to deliver the fluid in accordance with the destination operating mode in a manner that is influenced by at least a portion of the operational information pertaining to the first operating mode. 48 Date Recue/Date Received 2021-05-25

Closed-loop control in steady-state conditions

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.

Efficient confirmation of blood glucose measurements

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 receiving, via a user interface, confirmation input that indicates user acceptance of a blood glucose (BG) measurement generated by a BG meter device, in response to receiving the confirmation input, using the BG measurement for performing both glucose sensor calibration and bolus calculation, and causing delivery of a bolus based on outputting a delivery command in accordance with the bolus calculation.

Gesture-based control of diabetes therapy

Devices, systems, and techniques for controlling delivery of therapy for diabetes are described. In one example, a system includes a wearable device configured to generate user activity data associated with an arm of a user; and one or more processors configured to: identify at least one gesture indicative of utilization of an injection device for preparation of an insulin injection based on the user activity data; based on the at least one identified gesture, generate information indicative of at least one of an amount or type of insulin dosage in the insulin injection by the injection device; compare the generated information to a criteria of a proper insulin injection; and output information indicative of whether the criteria is satisfied based on the comparison.

Prediction based delivering or guiding of therapy for diabetes

An example system for therapy delivery includes one or more processors configured to in response to a prediction indicating that the meal event is to occur, output instructions to an insulin delivery device to deliver a partial therapy dosage, to a device to notify the patient to use the insulin delivery device to take the partial therapy dosage, or to the insulin delivery device to prepare the partial therapy dosage prior to the meal event occurring, and in response to a determination indicating that the meal event is occurring (e.g., based on movement characteristics of a patient arm), output instructions to the insulin delivery device to deliver a remaining therapy dosage, to the device to notify the patient to use the insulin delivery device to take the remaining therapy dosage, or to the insulin delivery device to prepare the remaining therapy dosage.

Prediction based delivering or guiding of therapy for diabetes

An example system for therapy delivery includes one or more processors configured to in response to a prediction indicating that the meal event is to occur, output instructions to an insulin delivery device to deliver a partial therapy dosage, to a device to notify the patient to use the insulin delivery device to take the partial therapy dosage, or to the insulin delivery device to prepare the partial therapy dosage prior to the meal event occurring, and in response to a determination indicating that the meal event is occurring (e.g., based on movement characteristics of a patient arm), output instructions to the insulin delivery device to deliver a remaining therapy dosage, to the device to notify the patient to use the insulin delivery device to take the remaining therapy dosage, or to the insulin delivery device to prepare the remaining therapy dosage.

Gesture-based control of diabetes therapy

Devices, systems, and techniques for controlling delivery of therapy for diabetes are described. In one example, a system includes a wearable device configured to generate user activity data associated with an arm of a user; and one or more processors configured to: identify at least one gesture indicative of utilization of an injection device for preparation of an insulin injection based on the user activity data; based on the at least one identified gesture, generate information indicative of at least one of an amount or type of insulin dosage in the insulin injection by the injection device; compare the generated information to a criteria of a proper insulin injection; and output information indicative of whether the criteria is satisfied based on the comparison.

Gesture-based control of diabetes therapy

Devices, systems, and techniques for controlling delivery of therapy for diabetes are described. In one example, a system includes a wearable device configured to generate user activity data associated with an arm of a user; and one or more processors configured to: identify at least one gesture indicative of utilization of an injection device for preparation of an insulin injection based on the user activity data; based on the at least one identified gesture, generate information indicative of at least one of an amount or type of insulin dosage in the insulin injection by the injection device; compare the generated information to a criteria of a proper insulin injection; and output information indicative of whether the criteria is satisfied based on the comparison.

Gesture-based control of diabetes therapy

Techniques disclosed herein relate to gesture-based control of diabetes therapy. In some embodiments, the techniques may involve identifying at least one gesture indicative of utilization of an injection device for preparation of an insulin injection based on user activity data obtained from a wearable device disposed on an arm of a user. The techniques may further involve based on the at least one identified gesture, determining whether the insulin injection meets criteria of a proper insulin injection. The techniques may further involve outputting information indicative of whether the criteria is satisfied based on the determination.

Automated super bolus generation

Techniques related to automatically generating a super bolus may include determining an amount of an augmented meal bolus to be delivered to a patient for regulating the patient's glycemic response to a meal. The amount of the augmented meal bolus may exceed a sufficient amount for counteracting a glucose level increase caused by the meal. In some embodiments, the techniques may further include determining a duration of a postprandial reduction period during which basal dosage deliveries to the patient are to be reduced. In some other embodiments, the techniques may further include delivering the augmented meal bolus to the patient prior to determining whether or not to cause reduction of basal dosage deliveries. More specifically, a glucose level of the patient may be obtained after delivery of the augmented meal bolus, and the obtained glucose level may be used to determine whether to reduce basal dosage deliveries.

Infusion systems and related personalized adjustment methods

Graphic user interface for automated infusate delivery

Methods, computer-readable medium, and devices that provide a graphic user interface for operating a medical infusion system are described. An exemplary method includes receiving analyte level information for a user; and providing a graphic user interface on a display element that includes an analyte level chart depicting analyte values and an infusate delivery chart. An exemplary chart depicts graphics showing basal amounts of infusate delivered by the system over time, wherein each graphic is illustrated with a dimension indicating an increased, same, or decreased amount relative to an immediately preceding graphic. Further, the exemplary chart depicts indicators showing bolus amounts delivered by the medical infusion system over time, wherein at least a portion of the bolus indicators is illustrated with a dimension not to scale.

Context-sensitive predictive operation of a medication delivery system in response to gesture-indicated activity changes

Gesture-informed patient management systems and related medical devices and operating methods are provided. A method of operating a medical device involves identifying a current operational context, predicting an occurrence of an event based at least in part on historical data associated with the patient and a correlation between the current operational context and the event, automatically configuring operation of the medical device to influence a physiological condition of the patient to account for the predicted occurrence of the event, and after configuring the operation of the medical device to account for the predicted occurrence of the event, automatically reconfiguring the operation of the medical device in response to detected gesture data influenced by an output of a sensing arrangement.

Adjusting diabetes alerts and therapy based on gesture-based detection of vehicle operation

One or more processors may be configured to detect whether a patient with diabetes is operating a vehicle based on one or more detected gestures. Based on the detection of operating the vehicle, the one or more processors may cause a patient device to output alerts according to a driving alert protocol. In another example, based on the detection of operating the vehicle, one or more processors may cause an insulin pump to operate according to a driving therapy protocol.

Controlling medical infusion device operation and features based on detected patient sleeping status

A method of operating an insulin infusion device involves: operating the infusion device in an automatic mode to automatically control delivery of insulin to a user, in accordance with a first target glucose setpoint value; receiving user status data that indicates sleeping status of the user, the user status data generated by a sleep detection system; and determining, from the user status data, that the user is sleeping while the insulin infusion device is operating in the automatic mode. In response to the determining, the method transitions from the first target glucose setpoint value to a second (different) target glucose setpoint value for use during the automatic mode, the transitioning occurring without user input. The method continues to operate the infusion device in the automatic mode to automatically control delivery of insulin to the user, in accordance with the second target glucose setpoint value.

Continuous analyte sensor quality measures and related therapy actions for an automated therapy delivery system

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. The techniques may further involve causing regulation of fluid medication delivery from the medical device, in accordance with the current sensor-generated value and the quality-specific operating mode of the medical device.

Healthcare service management via remote monitoring and patient modeling

Devices, systems, and techniques for therapy delivery and healthcare management is described. In one example, a system comprises a delivery device configured to execute therapy information comprising a treatment schedule specifying one or more treatments over a time period, wherein for each of the one or more treatments, the therapy information comprises a treatment type and a treatment amount; and processing circuitry configured to: determine a modification to the therapy information based on a recommendation of a digital twin, wherein the digital twin determines an estimated glucose level expected to be within a healthy range if the delivery device executes the modification to therapy information; and in response to physician review of the modification to the therapy information, output, to a healthcare provider system for the patient, data indicating completion of a healthcare service corresponding to the physician review.

Methods and systems for therapy delivery

Techniques disclosed herein relate to therapy delivery. In some embodiments, the techniques may involve determining a modification to therapy information that includes a modified treatment schedule or a modified treatment based on a recommendation of a simulator. The techniques may further involve providing the modification to the therapy information.

Graphic user interface for automated infusate delivery

Methods, computer-readable medium, and devices that provide a graphic user interface for operating a medical infusion system are described. An exemplary method includes receiving analyte level information for a user; and providing a graphic user interface on a display element that includes an analyte level chart depicting analyte values and an infusate delivery chart. An exemplary chart depicts graphics showing basal amounts of infusate delivered by the system over time, wherein each graphic is illustrated with a dimension indicating an increased, same, or decreased amount relative to an immediately preceding graphic. Further, the exemplary chart depicts indicators showing bolus amounts delivered by the medical infusion system over time, wherein at least a portion of the bolus indicators is illustrated with a dimension not to scale.

Predictive infusion device operations and related methods and systems

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 determining a current value for a physiological condition of the user influenced by the fluid violates a first threshold value, determining a predicted value for the physiological condition of the user violates a second threshold value, and automatically altering operation of the infusion device to modify delivery of the fluid to the user after determining the predicted value violates the second threshold value when the current value violates the first threshold value.