Publication Number

US-12315614-B2

Patent

Publication Date

2025-05-27

Expiration Date


Abstract

Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Core Innovation

The invention relates to an analyte monitoring system in which an analyte monitoring device measures analyte concentrations of a user and transmits analyte data to a first smart device comprising a smartwatch and a second smart device comprising a smartphone. The first and second smart devices convert the analyte data into outputs displayed on their respective displays, while the first smart device is configured to receive analyte data from the analyte monitoring device while not in signal communication with the second smart device.

When the analyte data reaches a predetermined threshold, the first smart device generates one or more alarms. The second smart device generates the one or more alarms based on determining that the user is not cognitively aware of the one or more alarms generated by the first smart device, or a diabetic state relating to the one or more alarms, with the determination based on user interaction with the first and second smart devices, or on an estimation or prediction of cognitive awareness.

The document further describes alarm management using cognitive-awareness-based smart alerts, including alert prompting and alert suppression functionality to reduce nuisance alerts and alert fatigue. It also describes confidence or ambiguity modifiers, different output modalities including display, audible, and tactile/haptic, and integration with medicament delivery devices in relation to whether the user is likely cognitively aware or not.

Claims Coverage

The document includes four independent claims. Across these claims, the inventive coverage centers on multi-device analyte data display and threshold alarms, coupled with cognitive-awareness-based alarm generation on a second smart device using either user interaction-based determination or estimation/prediction-based determination.

Multi-device analyte monitoring with non-signal-communication reception at the first smart device

An analyte monitoring device transmits analyte data to a first smart device comprising a smartwatch and a second smart device comprising a smartphone, where the first smart device is configured to receive analyte data from the analyte monitoring device while not in signal communication with the second smart device.

Cognitively-aware alarm generation across smartwatch and smartphone

An analyte monitoring system with a first smart device that generates one or more alarms when the analyte data reaches a predetermined threshold, and a second smart device configured to generate the one or more alarms based on determining that the user is not cognitively aware of the one or more alarms or a diabetic state relating to the one or more alarms.

User interaction-based determination of cognitive awareness

Determining that the user is not cognitively aware of the one or more alarms or a diabetic state relating to the one or more alarms is based on user interaction with the first and second smart devices.

Estimation or prediction of cognitive awareness

Determining that the user is not cognitively aware of the one or more alarms or a diabetic state relating to the one or more alarms is based on an estimation or prediction of cognitive awareness of the user of the analyte data reaching the predetermined threshold.

Overall, the claims cover an analyte monitoring system that measures and transmits analyte data to a smartwatch and a smartphone, displays outputs on both devices, triggers alarms on the smartwatch at a predetermined threshold, and drives alarm generation on the smartphone based on determining a lack of user cognitive awareness, either from user interaction or from estimation or prediction.

Stated Advantages

Minimizing nuisance alerts by suppressing alerts and prompts when the user is cognitively aware, to reduce alert fatigue.

Minimizing nuisance alarms via cognitive-awareness-based prompt/alarm triggering.

Documented Applications

Smart alerts for diabetic or analyte monitoring systems that identify a current or future diabetic state and generate alerts or user prompts only when the user is determined to not be cognitively aware.

A CGM application implementation in which a smart-alerts application is provided on a secondary or parallel device to generate cognitive-awareness-based alerts.

Integration with medicament delivery devices, including an insulin pump, to adjust medicament delivery behavior in relation to the user’s likely cognitive awareness of alerts.

Diabetic state monitoring with escalating audible, tactile, or visual alerts when diabetic alert conditions are not acknowledged.

Diabetic alert dog prompting using ultrasound pulses with varying tone by severity.

Smart device or smartwatch haptic or vibratory alert patterns prioritized by urgency.

Cognitive-awareness-based smart alerts for determining atypical diabetic states using glucose trace patterns.

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