Introducing True
Survival Percentage
The first metric that isolates how much a physician improves patient survival.
sample metrics from Dr. Sarah Chen — ranked #3 nationally
THE PROBLEM
the best doctors
aren't always the most famous
reputation is a lagging indicator. outcomes are the truth.
HOW IT WORKS
privacy-first AI
that reads between the lines
Case Log Ingestion
Secure extraction from hospital EHR systems and case documentation
AI Analysis
Initial patient status, doctor involvement levels, and outcome classification
Survival Modeling
Expected survival rate calculated based on presenting conditions
our private AI extracts doctor involvement, initial patient status, and outcomes from case logs — then calculates expected survival rates and true contribution.
THE MODEL
one outcome. multiple doctors.
precise attribution.
when a patient sees 4 doctors and survives, who gets credit?
contribution weights based on case involvement.
THE METHOD
ridge regression prevents overfitting.
recency weighting reflects growth.
Ridge Regression
doctors often work together. ordinary regression gives wild estimates when predictors are correlated. ridge shrinks coefficients toward zero, producing stable, reliable attribution.
Without Ridge (Unstable)
With Ridge (Stable)
Recency Weighting
a mistake yesterday matters more than one 5 years ago. doctors grow, learn, and improve. our model reflects that.
THE LEADERBOARD