The Role of AI in Reducing Data Fatigue

The Data Overload Problem

CGMs produce massive amounts of data—up to 288 readings per day. This can lead to:

• Decision fatigue
• Information overwhelm
• Decreased engagement
• Burnout

How AI Helps

Intelligent Summarization

AI distills data into:

• Key insights and patterns
• Actionable recommendations
• Priority alerts only

Pattern Recognition

Instead of raw numbers, AI identifies:

• Recurring high/low patterns
• Time-of-day trends
• Cause-and-effect relationships

Smart Notifications

AI reduces alarm fatigue by:

• Learning what alerts are actionable for each user
• Reducing redundant notifications
• Prioritizing truly critical events

Current Implementations

Dexcom Clarity

Uses AI to surface:

• Patterns in glucose data
• Comparisons over time
• Personalized insights

Abbott LibreView

Provides:

• Ambulatory Glucose Profile (AGP)
• Pattern identification
• Trend analysis

Medtronic CareLink

Offers:

• Automated pattern detection
• Therapy optimization suggestions
• Provider-ready reports

The Future of AI-Assisted CGM

• Proactive coaching based on predictions
• Automated therapy adjustments
• Integration with lifestyle factors
• Reduced cognitive burden for users