Mapping the true cost of illness
An AI-powered diagnostic infrastructure auditing platform that helps public health agencies identify and quantify "diagnostic deserts" across the U.S.
The Challenge & Our Approach
The Gap
Millions with complex chronic illnesses face years of diagnostic delays. Existing surveillance tracks disease post-diagnosis, leaving policymakers blind to regions where the diagnostic process itself is failing.
The Approach
We integrate public federal datasets with the PrimeKG biomedical knowledge graph to estimate expected coding activity, comparing it against observed patterns to flag infrastructure-level diagnostic gaps.
Core Pillars
How we bring visibility to complex health landscapes.
Open Data Synthesis
Integrating public CMS billing data, CDC syndromic surveillance, and AHRQ quality measures to circumvent HIPAA barriers and accelerate policy-ready insights.
Graph-Based Inference
Utilizing Random Walk with Restart (RWR) on a biomedical knowledge graph to compute regional Topological Discrepancy Scores without individual patient predictions.
Interactive Dashboard
Enabling policymakers to visualize diagnostic deserts, estimate potential economic impacts, and simulate targeted public health interventions.
Join the mission
Help us accelerate insights for better care and clearer understanding.
contact@topodx.org