The Data

Numbers you can defend. Sources you can name.

Pharmacy policy, medical policy, and lives — three datasets captured with equal depth, each assembled from authoritative sources, reconciled, and QA'd on every update. Ask where any figure came from and we'll show you the section it was pulled from.

Data process

Three pipelines, equal depth. Automated end to end.

Pharmacy policy, medical policy, and lives — three datasets, each with its own sourcing and QA, mastered to one taxonomy so they answer the same question together.

Pharmacy policy & formulary pipeline

Custom webscraping monitors thousands of benefit designs, and every change moves through staging, algorithmic QA, and alerting before it publishes.

01
Monitor

Thousands of benefit designs, watched continuously.

02
Stage

Auto-load changes into the staging environment.

03
QA

Algorithmic QA on drug counts, tiers, restrictions.

04
Alert

New drugs, tiers, restrictions; map to nomenclature.

05
Publish

Promote to production platforms and data feeds.

Medical policy & restrictions pipeline

A parallel pipeline for medical, specialty, and biologic policy — every form identified by indication, captured in full with its downstream criteria and restrictions, and QA'd on every update.

01
Identify

ICD-9/10, HCPCS and J-code by indication.

02
Gather

Every medical, specialty and biologic policy form.

03
Interpret

PA, step therapy, quantity and age limits.

04
QA

Automated on every update; threshold review.

05
Upload

Published with review and last-updated dates.

Lives & enrollment pipeline

A national, county-level view of U.S. insured lives across Commercial, Medicare, Medicaid, PBM, VA, IHS and TRICARE — built only from authoritative filings, reconciled across overlapping sources, and reviewed before it ships.

01
Source

NAIC, CMS, DOL Form 5500, state agencies, Census.

02
Master

Every geography and payer bridged to one taxonomy.

03
Derive

Build medical, then derive Rx; track carve-outs.

04
Reconcile

Compared source-to-source and to trend; anomalies reviewed.

05
Project

Distributed down to every U.S. county.

Data quality & QA

QA runs on every update.

Each update is compared against the prior state across five dimensions before anything reaches production. Anything over threshold goes to manual review and confirmation.

Auditability

For every published data point, we can show you the exact section of the source PDF it came from.

Five automated checks
01 Drugs captured
02 Benefit design
03 Tier distribution
04 Restriction mix
05 Any-change count

Input → automated QA → over threshold? manual review → publish to production platforms and feeds.

Want to see the data on your brands?

We'll run a live walkthrough on your therapeutic areas — no slideware.

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