Abstract: Techniques disclosed herein relate to infusion devices and alerts. In some embodiments, the techniques may involve identifying an amount of future insulin deliveries to be delivered by an infusion device. The techniques may further involve determining a homeostasis metric by predicting a change in a current glucose measurement value based on accounting for metabolism of a current amount of active insulin and the amount of future insulin deliveries. The techniques may further involve generating an alert based at least in part on the homeostasis metric.

Abstract: Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary infusion device includes an actuation arrangement operable to deliver fluid to a user, a communications interface to receive measurement data indicative of a physiological condition of the user, a sensing arrangement to obtain contextual measurement data, and a control system coupled to the actuation arrangement, the communications interface and the sensing arrangement to determine a command for autonomously operating the actuation arrangement in a manner that is influenced by the measurement data and the contextual measurement data and autonomously operate the actuation arrangement in accordance with the command to deliver the fluid to the user.

Abstract: Disclosed herein are techniques related to dynamic forecasts. The techniques may involve obtaining, from a medical device, measurement data for a patient; forecasting a plurality of values for a condition of the patient based on a forecasting model and the obtained measurement data; providing a graphical user interface depicting the plurality of forecasted values and comprising a plurality of adjustable graphical user interface elements, each associated with a time period and an activity or event likely to influence the condition; obtaining an adjustment to a first adjustable graphical user interface element; in response to obtaining the adjustment to the first adjustable graphical user interface element, updating at least one of the forecasted values based on the adjustment to the first adjustable graphical user interface element, the obtained measurement data, and the forecasting model; and dynamically updating the graphical user interface to reflect the updated at least one forecasted value.

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

Abstract: The subject matter of this disclosure generally relates to a medical device system and related methodologies that leverage data associated with the use of a meal transaction application, such as an application for ordering food delivery. Data generated by the meal transaction application can be leveraged by a patient care system or application for purposes of diet or calorie logging. Alternatively or additionally, the meal transaction data can be leveraged for purposes of controlling the administration of therapy by a medication delivery system, such as an insulin infusion pump.

Abstract: A catheter including a tubular catheter body defining a distal portion, a distal end and a lumen that extends to the distal end, a radiopaque marker carried within the lumen, and a non-metal tip that is bonded to distal end of the catheter body.

Abstract: A sensor assembly for sensing a physiological characteristic of a user includes a power source, a power control switch, and a power latch within a housing. The power control switch is electrically coupled to the power source, and is configured to inhibit delivery of power from the power source to one or more components of the sensor assembly before deployment of the sensor assembly to a user, and deliver power from the power source to the one or more components of the sensor assembly in response to the deployment of the sensor assembly to the user. The power latch is configured to, upon the deployment of the sensor assembly to the user, latch an output of the power control switch to maintain the delivery of power from the power source to the one or more components of the sensor assembly while the sensor assembly is in a deployed state.

Abstract: A glucose biosensor encasement includes a first membrane and a second membrane. The first membrane has a first interlocking segment. The second membrane has a second interlocking segment cooperating with the first interlocking segment of the first membrane to provide a cavity between the first membrane and the second membrane configured to receive a glucose sensor. At least one of the first membrane and the second membrane comprises a semi-permeable portion configured to regulate diffusion characteristics of glucose through the membrane to realize a sensitivity for a sensor in the cavity. A method is also provided.

Abstract: 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.

Abstract: A physiological characteristic sensor system includes a physiological characteristic sensor. The physiological characteristic sensor includes a housing having a first housing portion coupled to a second housing portion, and an antenna coupled to the first housing portion. The physiological characteristic sensor system includes a sensor inserter configured to be coupled to the physiological characteristic sensor. The sensor inserter includes a sensor retainer, and the sensor retainer is configured to couple to the second housing portion in a second state to couple the physiological characteristic sensor to the sensor inserter.

Abstract: This invention pertains to systems and components useful for infusing medications such as insulin. Typically, the components are used to deliver insulin to a diabetic patient at a site of infusion over a period of time greater than 4 days. The system components typically comprise a cannula adapted for subcutaneous insertion into a diabetic patient. The system further comprises a fluid conduit adapted to deliver the insulin solution from a medication reservoir to the site of infusion and a depot in operable contact with the fluid conduit. The depot comprises selected materials including a site-loss mitigating agent (such as heparin) which inhibits inflammation at the site of infusion, and encapsulation of the cannula at the site of infusion. The site-loss mitigating agent is not premixed with the insulin, and instead is adapted to contact the insulin solution in the depot as the insulin solution flows from the medication reservoir to the site of infusion.

Abstract: Techniques disclosed herein relate to automatic association of a non-medical device with a medical device. In some embodiments, the techniques involve accessing a user account provided by a cloud-based service, retrieving first identification information that is stored to the user account and identifies a medical device via the cloud-based service, receiving second identification information from the medical device, and establishing a secure communication link with the medical device based on determining that the second identification information corresponds to or matches the first identification information.

Abstract: Embodiments of the invention provide compositions useful in implantable devices such as analyte sensors as well as methods for making and using such compositions and devices. In typical embodiments of the invention, the device is a glucose sensor comprising a polymeric composition disposed on a flexible assembly within the sensor that includes amounts of one or more immunosuppressant agents designed to provide such sensors with improved material properties such as enhanced biocompatibility.

Abstract: A processor-implemented method includes causing fluid delivery to a patient based on a first value for a control parameter, identifying a second value for the control parameter based on a determination that a current operational context is associated with the second value, and causing fluid delivery to the patient based on the second value for the control parameter in lieu of the first value for the control parameter.

Abstract: Infusion devices are disclosed herein. The present technology includes, for example, an infusion device for delivering a medicament to a body of a user. The device can comprise an insertion assembly comprising a cannula, a reservoir assembly comprising a reservoir configured to receive a medicament, and a trigger assembly configured to trigger insertion of the cannula into the user in response to a command from a remote computing device communicatively coupled to the infusion device.

Abstract: Presented here are techniques for controlling glucose levels of a patient based on predicted time to a target glucose level. One methodology predicts a trajectory of the blood glucose level based on past observations of the blood glucose level, determines a cost expression based on the trajectory, and affects a future command to an infusion pump to affect a cost value according to the cost expression. Another methodology defines a target blood glucose concentration level for the patient, observes a current blood glucose concentration for the patient based on signals received from a blood-glucose sensor, and predicts a duration of time for the patient's blood glucose concentration to reach the target blood glucose concentration level based on the observed current blood glucose concentration.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary infusion device includes a motor operable to deliver fluid to a body of a user, a first control module to enable input power for the motor and provide a dosage command for operating the motor, and a second control module coupled to the first control module to receive the dosage command and operate the motor using at least a portion of the input power based at least in part on the dosage command. One of the first control module and the second control module detects an anomalous condition, and in response, disables the input power to the motor, stores diagnostic information for the anomalous condition in its internal memory, and automatically resets thereafter.

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 identifying a fluid type associated with the fluid currently onboard the infusion device from among a plurality of possible fluid types that is different from a previous type of fluid previously onboard the infusion device. The identified fluid type has pharmacokinetics characteristics that are different from pharmacokinetics characteristics associated with the previous fluid type. The method continues by updating one or more parameters referenced by a control module of the infusion device implementing the operating mode to reflect the pharmacokinetics characteristics associated with the identified fluid type and autonomously operating the infusion device to deliver the fluid of the identified fluid type to the user in accordance with the operating mode and the one or more updated control parameters.

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

Abstract: The disclosed techniques include applying, using a voltage controller, multiple voltage pulses to a working electrode of a two-electrode sensor probe, and measuring, using a current sensor, the current response to the applied multiple voltage pulses. The techniques also include analyzing, using a processor, the measured current response, and calibrating, using a processor, the current sensor on the basis of the analyzed measured current response. The techniques further include determining, using a processor, a glucose concentration value on the basis of the calibrated current sensor, and transmitting, using a transmitter, the determined glucose concentration value to a receiver.