Abstract: Disclosed herein are techniques related to glucose level management without carbohydrate counting. The techniques may involve obtaining contextual information for a meal, predicting amounts of glucose to be absorbed into a bloodstream of the patient over a duration of time due to consumption of the meal based on the contextual information for the meal, determining one or more amounts of insulin to counteract effects of the predicted amounts of glucose, and affecting insulin therapy based on outputting information indicative of the determined one or more amounts of insulin.

Abstract: A method for estimating glucose values of a user and an insulin infusion and management system are provided. The insulin infusion and management system can include an insulin infusion device configured to deliver insulin to a user; a blood glucose meter; a source of user activity data; and a processor-based computing device that supports data communication with the insulin infusion device. A processor device of the computing device can perform a method for estimating glucose values of a user. In accordance with the method, a first set of inputs can be received and processed via an estimation model for a user to generate a set of estimated glucose values that track actual glucose values.

Abstract: Methods, systems and non-transient computer-readable media are provided for optimizing sensor wear and/or longevity of a personalized model used for estimating glucose values.

Abstract: Methods and systems for sensor calibration and sensor glucose (SG) fusion are used advantageously to improve the accuracy and reliability of orthogonally redundant glucose sensor devices, which may include optical and electrochemical glucose sensors. Calibration for both sensors may be achieved via fixed-offset and/or dynamic regression methodologies, depending, e.g., on sensor stability and Isig-Ratio pair correlation. For SG fusion, respective integrity checks may be performed for SG values from the optical and electrochemical sensors, and the SG values calibrated if the integrity checks are passed. Integrity checks may include checking for sensitivity loss, noise, and drift. If the integrity checks are failed, in-line sensor mapping between the electrochemical and optical sensors may be performed prior to calibration.

Abstract: Methods, systems and non-transient computer-readable media are provided for updating models used for estimating glucose values. For example, technologies are provided for updating an existing population model for estimating glucose values for a population of users to generate a new updated population model for a subset of users of the population of users. As another example, technologies are provided for updating an existing personalized model for estimating glucose values to generate a new updated personalized model that is personalized for a particular user.

Abstract: A computer-implemented therapy management system is operated to collect patient data associated with medical device users. Treatment of the users is managed by healthcare professionals (HCPs), which include a customer HCP and a plurality of non-customer HCPs. The system receives a first set of attributes for a first individual patient or a first group of patients under care of the customer HCP, and a second set of attributes for a second individual patient or a second group of patients. The system identifies a first set of patient records associated with the customer HCP that satisfy the received first attributes, and a second set of patient records that satisfy the received second attributes, and compares patient outcomes from the first set of records against patient outcomes from the second set of records. A comparative therapy report is generated and communicated to a client device associated with the customer HCP.

Abstract: Disclosed herein are techniques related to glucose estimation without continuous glucose monitoring. In some embodiments, the techniques may involve receiving input data associated with a user. The input data may comprise discrete blood glucose measurement data associated with the user, activity data associated with the user, contextual data associated with the user, or a combination thereof. The techniques may also involve using an estimation model and the input data associated with the user to generate one or more estimated blood glucose values associated with the user.

Abstract: A medicine administration system includes a medicine administration device, a medicine cartridge receivable with the medicine administration device, and a contrast background. The medicine cartridge is configured to retain medicine therein. The medicine administration device is configured to dispense at least some of the medicine through a dispensing end of the medicine cartridge. The contrast background is positioned relative to the medicine cartridge to permit visualization of the contrast background through the medicine within the medicine cartridge. The contrast background is configured to facilitate image processing of a captured image of the contrast background through the medicine within the medicine cartridge to determine a condition of the medicine within the medicine cartridge.

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: Disclosed herein are techniques related to managing dose recommendations in medicine administering systems. The techniques may involve obtaining a recommendation for a dose of medicine to be delivered to a patient and determining that the recommendation is outdated based on detecting one or more intervening events occurring after generation of the recommendation but before any delivery of medicine in accordance with the recommendation. The techniques may further involve implementing one or more safety features for avoiding delivery of the dose of medicine to the patient.

Abstract: Infusion systems, infusion devices, and related patient monitoring systems and methods are provided. A method of monitoring a physiological condition of a patient involves providing, on a display device, a graphical user interface display depicting forecast values with respect to different time periods in the future and including graphical user interface elements to allow a user to adjust a characteristic of an event likely influence the physiological condition of the patient at a respective time period. In response to an adjustment to a graphical user interface element, the method continues by dynamically updating the forecast values on the graphical user interface display using a forecasting model associated with the patient.

Abstract: Disclosed herein are techniques related to event-oriented predictions of glycemic responses. In some embodiments, the techniques may involve accessing a prediction model that correlates a person's glycemic responses to events and the person's physiological parameters during the events. The techniques may also involve obtaining a glucose level measurement of the person during an event. Additionally, the techniques may involve determining, based on the glucose level measurement, a physiological parameter of the person during the event. Furthermore, the techniques may involve predicting the person's glycemic response to the event based on applying the prediction model to the physiological parameter.

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: A medicine injection pen includes a body, a drive member, a cartridge housing, and a medicine cartridge retained within the cartridge housing. The drive member is configured to move relative to the body and the medicine cartridge defines an interior volume configured to retain a liquid medicine. The drive member is configured to translate a piston within the interior volume toward a dispensing end of the medicine cartridge to dispense at least some of the liquid medicine. The medicine cartridge also includes an insertion port configured to receive a medicine dispensing element therethrough for dispensing a liquid medicine into the interior volume to replace at least some of the liquid medicine dispensed through the dispensing end. Dispensing of the liquid medicine into the interior volume of the medicine cartridge applies a fluid pressure to the piston to translate the piston away from the dispensing end of the medicine cartridge.

Abstract: The disclosed techniques include obtaining a first signal generated by an electrochemical glucose sensor and a second signal generated by an optical glucose sensor, and obtaining a glucose value indicative of a user's blood glucose level, where the glucose value and the second signal are obtained at different times. The disclosed techniques further cause calculating a mapped value for the second signal based on the first signal, and calibrating the mapped value of the second signal based on the glucose value.

Abstract: Gesture-informed patient management systems and related medical devices and operating methods are provided. A method of assisting operation of a medical device using a sensing arrangement capable of detecting physical movement by a user involves detecting a configuration procedure performed by the user in response to output of the sensing arrangement indicative of one or more gestures with respect to the medical device by the user, determining a current state of the user within the configuration procedure based at least in part on the one or more gestures with respect to the medical device relative to a sequence of gestures corresponding to a defined sequence of tasks for the configuration procedure, and providing a graphical user interface display on a client device comprising guidance information influenced by the current state within the configuration procedure.

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 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 are techniques related to adaptive signal processing. The techniques may involve: obtaining a plurality of unfiltered measurement values based on signals generated by a sensor; determining a plurality of filtered measurement values based on the plurality of unfiltered measurement values; determining, based on the plurality of filtered measurements, a first derivative metric for a current filtered measurement of the plurality of filtered measurements and a second derivative metric for the current filtered measurement; determining an output filtered measurement indicative of a physiological condition of a user based at least in part on the current filtered measurement, the first derivative metric, the second derivative metric, and a previous output measurement; and outputting the output filtered measurement.