Features

Product Comparison

The Paradigm Revel System difference.

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Enhanced CGM Features

Now with the MiniMed Paradigm® Revel™ System, our second generation integrated system, we've reached a whole new level of therapy management. When you purchase the optional MiniLink® Transmitter and glucose sensors, you will have access to enhanced CGM features that only the Paradigm Revel System offers.

Predictive Alerts: Predictive Alerts can be set to warn you up to 30 minutes before your low or high glucose limits are reached. According to a recent internal study, the use of predictive alerts improved hypoglycemic event detection by 36% compared to the low glucose alert alone1-3

Rate of Change Alerts - Notify you when your glucose levels are changing rapidly for different times of day or night

Low and High Alerts - Allow you to set 8 different thresholds to meet your needs

REAL-Time Trend Graphs - 3, 6, 12 and 24 hour graphs give you a clear picture of your glucose levels over time

When Medtronic introduced CGM into the world, it demonstrated that fingersticks are like watching only a few scenes; CGM is like watching an entire movie. You get the full story.

Insulin Delivery

Bolus Wizard® Calculator - The Bolus Wizard Calculator does the math for you. It simplifies insulin doses, reduces math errors, and uses an "active insulin curve" to factor in the amount of active insulin left in your body to help prevent "insulin stacking"

Precise Delivery - Deliver multiple basal rates as low as 0.025 units per hour, and set up insulin-to-carbohydrate ratios as low as 1 to 1 to match your insulin needs to respond to changes in activity levels, stress, illness, or other events

Missed Meal Bolus Reminder - If you tend to forget to take insulin for your meal, you can set a missed meal bolus reminder to help you avoid hyperglycemia after meals

1
In this internal home-use study, the predictive alert was set at 30 minutes and the low threshold alert was set at 70 mg/dL. The performance is calculated using a +/- 30 minute event analysis on 90,472 meter readings paired with sensor reading.
2
Keenan, B., Cartaya, R., Mastrototaro, J. Accuracy of a New Real-Time Continuous Glucose Monitoring Algorithm. J Diabetes Sci Technol. 2010;4(1):111-118
3
Mastrototaro, J., Shin, J., Marcus, A., Sulur, G. The Accuracy and Efficacy of Real-Time Continuous Glucose Monitoring Sensor in Patients with Type 1 Diabetes. J Diabetes Sci Technol. 2007;1(3):400-404