Analyte Monitoring Alert Prioritization and Silencing
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Solution Overview
Problem
Continuous glucose monitoring systems face challenges in accurately notifying users of missed data packets, leading to potential false security and delayed intervention in critical glycemic events, due to inopportune alarms and the need for selective alert management.
Innovation Solution
The system includes a receiver that automatically issues alerts for missed data packets, allowing users to selectively disable and re-enable alarms for predetermined periods, with tri-modal notification options (audible, visual, tactile) and prioritizing critical events like hypoglycemia or hyperglycemia.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system continuously monitors and alerts users of all glucose events, then user awareness of critical glycemic events is improved, but the system generates inopportune alarms that disrupt user life and cause false security
Solution Approach 1:
The patent segments alert notifications into different priority levels (critical vs. non-critical events). Critical events such as severe hypoglycemia or hyperglycemia trigger high-priority alarms, while less severe events generate lower-priority or muted notifications. This segmentation allows the system to maintain reliable user awareness for life-threatening conditions while reducing harmful disruptions from less urgent alerts.
Solution Approach 2:
The system applies different alert characteristics to different types of events. Instead of uniform alerting, the patent implements localized quality control where critical events receive full alert intensity and non-critical events receive reduced or contextualized notifications. This allows the alarm system to be both sensitive to critical conditions and selective about disruptive notifications.
2Reliability
If the system alerts users immediately for all missed data packets, then data reliability is improved, but the system creates false security and delayed intervention
Solution Approach 1:
The patent implements preliminary assessment of data packet issues before triggering alerts. The system monitors for patterns of missed data packets and only generates alerts when the absence of data indicates a genuine problem requiring user intervention. This preliminary filtering prevents false security by ensuring alerts are triggered only by actual data delivery failures rather than temporary communication variations.
3Ease of operation
If the system provides comprehensive alert management controls, then user convenience is improved, but the device complexity increases
Solution Approach 1:
The patent implements dynamic alert management where users can adjust alert parameters in real-time based on their personal needs. The system allows users to mute specific types of alerts, adjust sensitivity thresholds, and customize notification preferences. This dynamic adaptability provides comprehensive control flexibility while the system automatically manages the complexity of multiple alert types through intelligent prioritization and user-friendly interfaces.
Data Source
AI summary
Described herein are analyte monitoring systems including a receiver or data processing component that is configured to automatically issue a first alert notification when a first predetermined number of consecutive data packets are not received from the sensor/sensor electronics, and automatically issue a second alert notification when a second predetermined number of consecutive data packets are not received by the sensor/sensor electronics. The receiver may also be configured to enable a user to disenable alert or alarm notifications that are triggered based on detected events.