Using Real World Evidence & AI Correlations to reveal where the healthcare system can realistically convert — so commercial effort is focused where structural conditions support growth.
Complementary to existing analytics
From literature to live dashboard — structured to deliver directional intelligence before launch, without IT dependency or software licences.
Peer-reviewed literature seeds an evidence-graded clinical indicator taxonomy specific to the disease and geography.
Government health statistics and claims data structured by geographic unit — region, state, or province.
Statistical correlations identify which signals predict treatment burden. Only significant indicators contribute to the score.
Self-contained file — no IT, no licences, no cloud. Opens on any device. Offline-capable and AI-queryable.
The model draws on observable, publicly available data across the full patient pathway — from upstream disease burden through to system infrastructure readiness.
Prevalence proxies identifying at-risk patient pools before diagnosis — the leading indicator of latent demand.
Clinical presentations recorded separately — patients symptomatic but not yet confirmed for the target disease.
Current standard-of-care volumes confirming active, treatable disease — the primary conversion-ready signal.
Specialist density and co-visit patterns — the care pathway the patient must traverse to reach treatment.
Signals revealing where patients are lost between diagnosis, specialist referral, and treatment initiation.
Infrastructure signals — trial sites, infusion capacity, diagnostic throughput — revealing structurally ready regions.
Every region emerges from the model with a tier classification and a recommended commercial response — ready to sit in your monthly review.
Active patients on current standard of care — most direct conversion opportunity.
Burden likely present but not reaching management — education or access gap to address.
Patients bypassing earlier intervention — upstream prevention story strongest here.
Thin market — resources better deployed elsewhere this cycle.
The Executive Dashboard is a single self-contained file. No server, no login, no software to install — it opens like any other document and sits alongside your existing analytics in monthly commercial reviews.
Engagements are structured to deliver a working prototype early — so you see the methodology applied to your market before committing to a full engagement.
All analysis is based on publicly available, non-sensitive government data. Outputs are directional intelligence tools — not absolute patient counts.
Every engagement starts with a scoped discovery workshop — so you define the correlations that matter to your commercial team before any data is run.