Pre-connected analyte sensors are provided. A pre-connected analyte sensor includes a sensor carrier attached to an analyte sensor. The sensor carrier includes a substrate configured for mechanical coupling of the sensor to testing, calibration, or wearable equipment. The sensor carrier also includes conductive contacts for electrically coupling sensor electrodes to the testing, calibration, or wearable equipment.

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.

Embodiments of the current disclosure are directed toward systems, devices and methods for diabetes management. In particular, the present disclosure relates to devices and methods for dispensing insulin to a patient. A portable fluid infusion device, comprising a disposable part (DP) and a reusable part (RP) is disclosed. The DP comprises a first reservoir and a second reservoir, the second reservoir less than or equal to the first reservoir in length, while the RP comprises a first compartment configured to receive the first reservoir, a second compartment configured to receive the second reservoir and a gasket for sealing a junction between the second reservoir and the second compartment upon connection of the RP and the DP.

An amount of glycemic dysfunction associated with mis-timing (e.g., delay) of meal boluses based on replay analysis is determined. The amount of dysfunction of historical or estimated bolusing as compared to an optimally timed bolus based on the replay analysis is quantified and visualized. Inferences may be made about diabetes meal management regarding inputs from a patient.

Systems and methods are disclosed herein for switching an application executing on an ambulatory medical device to a new application without interrupting therapy provided by the ambulatory medical device to a subject. The ambulatory medical device may receive an indication that an update to an application executing on the ambulatory insulin pump is available, establish a communication connection to a host computing system, download and install the application update, while a prior version of the application continues to run. The disclosed systems and methods can confirm successful installation of the application update on the ambulatory medical device and switch control of the ambulatory medical device from the prior version to the new version of the application without interrupting therapy provided to the subject.

Provided are techniques, devices and systems that include monitoring a trend of blood glucose measurement values over a series of measurement cycles. A processor may identify a potential excursion outside a range of a target blood glucose measurement value setting of a user based on the monitored trend. In response to the identified potential excursion, an alert may be generated to the user to consume rescue carbohydrates. In addition, the disclosed techniques may include a processor that assesses the factors related to a potential impending hypoglycemic event for a user. Based on a result of the assessment of the factors, the processor may determine whether the user is approaching the potential impending hypoglycemic event for the user. In response to a determination that the user is approaching the potential impending hypoglycemic event for the user, a number of rescue carbohydrates to suggest for consumption by the user may be determined.

Systems and methods described provide dynamic and intelligent ways to change the required level of user interaction during use of a monitoring device. The systems and methods generally relate to real time switching between a first or initial mode of user interaction and a second or new mode of user interaction. In some cases, the switching will be automatic and transparent to the user, and in other cases user notification may occur. The mode switching generally affects the user’s interaction with the device, and not just internal processing. The mode switching may relate to calibration modes, data transmission modes, control modes, or the like.

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.

In one embodiment, an infusion set and sensor assembly delivered within a subject is disclosed. The assembly includes a cannula that is terminated at a cannula opening. The assembly further includes a sharp that is at least partially within the hollow of the cannula. A sensor having a proximal end and a distal end is also included in the assembly. The proximal end of the sensor is held in a fixed location while the distal end is retained with a portion of the cannula. The sensor further includes sensor slack, wherein transitioning the sharp from a first position to a second position simultaneously inserts the cannula and sensor to a desired insertion depth within a subject via a single point of insertion.

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.