Abstract: 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.

Abstract: Gesture-informed patient management systems and related medical devices and operating methods are provided. A method of operating a medical device capable of influencing a physiological condition of a patient involves obtaining first sensor measurement data from a sensing arrangement associated with a first location on a body of the patient and capable of detecting physical movement by the patient, obtaining second sensor measurement data from a second sensing arrangement having a second location different from the first location, predicting an occurrence of an event based at least in part on the first sensor measurement data in a manner that is influenced by the second sensor measurement data, resulting in a predicted occurrence of the event, and automatically configuring operation of the medical device to influence the physiological condition of the patient in a manner that is influenced by the predicted occurrence of the event.

Abstract: A sensing device monitors and tracks food intake events and details. A processor, appropriately programmed, controls aspects of the sensing device to capture data, store data, analyze data and provide suitable feedback related to food intake. More generally, the methods might include detecting, identifying, analyzing, quantifying, tracking, processing and/or influencing, related to the intake of food, eating habits, eating patterns, and/or triggers for food intake events, eating habits, or eating patterns. Feedback might be targeted for influencing the intake of food, eating habits, or eating patterns, and/or triggers for those. The sensing device can also be used to track and provide feedback beyond food-related behaviors and more generally track behavior events, detect behavior event triggers and behavior event patterns and provide suitable feedback.

Abstract: Techniques for glucose level management are disclosed. In some examples, the techniques may involve obtaining an estimated protein value for a meal and determining an equivalent carbohydrate value for the meal based on the estimated protein value. In some examples, the techniques may involve obtaining an estimated fat value for a meal and determining, based on the estimated fat value, a glucose absorption rate resulting from consumption of the meal. In some examples, the equivalent carbohydrate value and/or the glucose absorption rate may be used to determine an amount of insulin to deliver to a patient to counteract a glucose level increase caused by consumption of the meal. The techniques may further involve generating an output indicative of the amount of insulin to deliver to the patient to counteract the glucose level increase caused by consumption of the meal.

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

Abstract: Techniques disclosed herein relate to providing guidance for configuring a medical device to a user in response to detected gestures of the user. In some embodiments, the techniques involve obtaining sensor data indicative of one or more gestures of a user of a medical device, and detecting a configuration procedure being performed on the medical device by the user based on the sensor data, where the configuration procedure includes a sequence of tasks to be performed by the user to configure the medical device. The techniques also involve determining one or more tasks of the configuration procedure that have been performed by the user based on the sensor data, identifying a subsequent task of the configuration procedure to be performed by the user based on the one or more tasks, and generating guidance information for performing the subsequent task of the configuration procedure.

Abstract: 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.

Abstract: Techniques for glucose level management are disclosed. In some examples, the techniques may involve obtaining an estimated protein value for a meal and determining an equivalent carbohydrate value for the meal based on the estimated protein value. In some examples, the techniques may involve obtaining an estimated fat value for a meal and determining, based on the estimated fat value, a glucose absorption rate resulting from consumption of the meal. In some examples, the equivalent carbohydrate value and/or the glucose absorption rate may be used to determine an amount of insulin to deliver to a patient to counteract a glucose level increase caused by consumption of the meal. The techniques may further involve generating an output indicative of the amount of insulin to deliver to the patient to counteract the glucose level increase caused by consumption of the meal.

Abstract: Disclosed herein is an insertion device for installation of a medical device comprising a transcutaneous element. The insertion device includes a device holder for holding the medical device. The insertion device also includes an installation surface configured to contact the medical device so as to deploy the transcutaneous element of the medical device. The insertion device also includes an elastic installation element configured to apply a force to the installation surface so as to bring the installation surface into contact with the medical device. The insertion device also includes a tensioner configured to adjust the force applied by the elastic installation element to the installation surface.

Abstract: Techniques for detection of occurrence of a meal are provided. In some embodiments, the techniques may involve obtaining a plurality of glucose measurements indicative of a glucose level in a body of a patient during an analysis interval. The techniques may involve determining one or more glucose measurement statistics based on the plurality of glucose measurements. The techniques may involve determining a likelihood of the patient having consumed a meal during the analysis interval based on the one or more glucose measurement statistics that are correlative to an occurrence of a meal for the patient. The techniques may involve detecting an occurrence of the meal during the analysis interval based on the likelihood of the patient having consumed the meal during the analysis interval.

Abstract: 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 obtaining measurement values for a physiological condition influenced by the fluid, autonomously operating the infusion device to deliver the fluid based at least in part on the measurement values, and detecting a nonactionable condition based on the measurement values. In response to detecting the nonactionable condition, delivery of the fluid is limited while maintaining autonomous operation of the infusion device. In one exemplary embodiment, the nonactionable condition is a rescue condition indicative of the user having consumed fast-acting carbohydrates, and thus insulin delivery may be automatically limited in response to detecting the rescue carbohydrate consumption.

Abstract: Patient monitoring systems and related medical devices and methods are provided. One method involves obtaining historical usage data associated with a patient for a plurality of potential site locations for a medical device, classifying one or more site locations of the plurality of potential site locations into a viable group of potential site locations for the patient based at least in part on the historical usage data, and providing, at a client device, graphical indicia of the one or more site locations classified into the viable group of potential site locations.

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

Abstract: Techniques disclosed herein relate to 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 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 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.