Method and system for providing basal profile modification in insulin therapy for use with infusion devices includes periodically monitoring the analyte levels of a patient for a predetermined period of time in order to determine, based on the monitored analyte levels, an appropriate modification factor to be incorporated into the underlying basal profile which was running at the time the periodic monitoring of the analyte levels were performed.

An ambulatory infusion pump can include a maximum bolus override procedure. When a bolus amount greater than a maximum bolus amount is requested, the pump can provide an alert indicating that the amount requested exceeds the maximum bolus amount. If the user confirms the request in response to the alert, the bolus amount can be delivered to the user. The amount delivered in response to the confirmation can be a first portion of the bolus amount. A reminder can then be provided that a second portion of the bolus amount that is a remaining portion of the requested bolus amount was also requested. If a second confirmation is received in response to the alert, the second portion of the bolus amount can also delivered to the user.

An apparatus including a controller can determine a rate of change of a blood glucose level of a subject from blood glucose data and determine if there is a risk of the blood glucose level going high or low.

Aspects of the present disclosure describe systems and methods for predicting an intra-aortic pressure of a patient receiving hemodynamic support from a transvalvular micro-axial heart pump. In some implementations, an intra-aortic pressure time series is derived from measurements of a pressure sensor of the transvalvular micro-axial heart pump and a motor speed time series is derived from a measured back electromotive force of a motor of the transvalvular micro-axial heart pump. Furthermore, in some implementations, machine learning algorithms, such as deep learning, are applied to the intra-aortic pressure and motor speed time series to accurately predict an intra-aortic pressure of the patient. In some implementations, the prediction is short-term (e.g., approximately 5 minutes in advance).

Systems, methods, and computer-readable media for providing a decision support solution to medical professionals to optimize medical care through data monitoring and feedback treatment are provided herein. In another embodiment, a computer-implemented method for modeling patient outcomes resulting from treatment in a specific medical area includes receiving patient-specific data associated with a patient, determining a plurality of possible patient states under which the patient can be categorized, a current patient state under which the patient can be categorized and determining probabilities of the patient transitioning from any of the possible patient states to every other possible patient state.

Various exemplary methods, systems, and devices for injection pump needle mechanics are provided.

System and methods are provided for control of a therapeutic delivery system. A monitoring device includes a sensor for measuring a biometric parameter of a patient. A feature extractor generates a set of features for the patient, each of the set of features being associated with one of the patient and the therapeutic delivery system. A predictive model predicts a future value for the biometric parameter at a given time according to the set of features. A therapeutic delivery system controller determines a desired dosage for the therapeutic according to the predicted future value for the patient parameter.

The present disclosure relates to a liquid medicine injection device including a patch portion to which a sensor portion configured to measure blood glucose is detachable and in which an injection portion configured to inject a liquid medicine into the body of a user is installed, and a stamping portion on which the patch portion is mounted and including a first needle connectable to the sensor portion, wherein the stamping portion transmits power to the patch portion so that the first needle and a second needle, which is connected to the injection portion, are together inserted into the skin of the user, and the sensor portion and the injection portion are installed in a single device so that the convenience of use is improved when the liquid medicine injection device is attached to the skin of the user.

In some examples, a system includes a glucose sensor configured to generate a signal indicative of a blood glucose level of a patient, a medical device configured to deliver insulin to the patient, a peritoneal dialysis (PD) device, and control circuitry. The control circuitry is configured to control the PD device to deliver PD therapy to a patient during a PD cycle, determine a blood glucose level of the patient during the PD cycle based on a signal from the glucose sensor, determine that the blood glucose level is greater than or equal to a predetermined blood glucose level threshold, and control the medical device to deliver insulin to the patient in response to determining the blood glucose level is greater than or equal to the predetermined blood glucose level threshold.

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device involves obtaining one or more measurement values of a physiological condition in the body of a user during an initial monitoring period and determining a fasting reference value for a metric based on the one or more measurement values. After the initial monitoring period, the method continues by obtaining an updated measurement value during a fasting period, determining a current value for the metric based at least in part on the updated measurement value, and generating a notification in response to a deviation between the current value and the fasting reference value exceeding a threshold indicative of insertion site loss or other loss of effectiveness.