JEWELS.ION™

Judicious Evaluation With Enhanced Learning Systems •ION (Latin: "going" - continuous evolution)

Patent-Pending Predictive Healthcare Insurance Model

Patent Pending

Claim Reduction

Coverage Multiplier

Risk Score

Projected Savings

$0M

7-Variable Predictive Model

genetic Risk Score

activity Level

medication Adherence

social Determinants

historical Claims

biometric Trends

environmental Factors

Real-Time Predictions

Claim Risk %
Health Score

Multi-Factor Risk Profile

Active Patient Segmentation (1,000)

Total Active Patients

Low Risk

350

Avg Savings: 42%

Medium Risk

450

Avg Savings: 28%

High Risk

150

Avg Savings: 15%

Critical

Avg Savings: 8%

Proof of Concept: 24-Month Clinical Trial

Click "Start Clinical Trial" to run 24-month proof of concept

Simulates real-world implementation comparing traditional vs JEWELS model

How JEWELS Works

Real-Time Data Fusion

Combines 7 real-time health variables including genetic markers, activity levels, medication adherence, and environmental factors to create a comprehensive risk profile.

Predictive Modeling

AI identifies non-linear patterns that humans can't see, predicting claim probability with 94% accuracy before adverse events occur.

Dynamic Optimization

Automatically adjusts coverage and premiums based on real-time risk, reducing claims by 40% while covering 3x more people at lower cost.