Machine Learning

It’s the backbone of the Creo program.

Participant Data Analytics

Machine Learning takes the extensive data from each participant and hones it down to a personalized pathway to wellness.

Evidence-based algorithms analyze each participant’s comprehensive screening results
The screening results are crossed-referenced with health risk and readniness for change assessments
Each employee’s chronic disease risks are identified and their personalized health improvement plans are created

Population Data Analytics

Participant’s personal health risk reports and personalized health improvement plans combine for meaningful population health improvements.

Goes far beyond the “Normal” or “Abnormal” risk structure of typical assessments
Creates precision population health risk stratification
Enables effective population health risk mitigation
Machine learning capabilities constantly monitor ongoing progress and refine programming

One or All—It’s Extremely Personal

Creo’s personalized health improvement plans aren’t generalized observations and recommendations—they’re evidence-based conclusions. Our machine learning platform feeds data into an online engagement portal, creating a personal profile for each participant. Personalization is what gives Creo the edge in changing more individual outcomes than other platforms. This is how Creo changes populations—one participant at a time.

Science that Goes Beyond Initial Testing

No one ever solved a problem by simply assessing it. Results require action. That’s why the power of our technology is particularly important when engaging patients.

How the Rules Engine Guides Engagement