How it works

From locked-in records to a single source of truth.

No two EMRs expose their data the same way — but our practice is repeatable across all of them. The same disciplined four steps run whether we're working in Allscripts, zHealth, or anything between, so you get consistent, dependable results every time.

The Polaris method

Four steps, endlessly repeatable.

  • 01

    Assess the source

    We map each EMR's data model, access methods, and quirks — what tables matter, how the system exposes them, and where the landmines are. Nothing is moved until we understand it.

  • 02

    Extract reliably

    Structured tables, clinical notes, claims, and feeds — captured at the right grain, on a dependable schedule, without disrupting the live clinical system.

  • 03

    Normalize & validate

    Standardized to a common model, reconciled across sources, and quality-checked against expected ranges so the numbers hold up under audit and payor scrutiny.

  • 04

    Deliver & report

    Clean data flows to your warehouse, analytics, and regulatory submissions — documented, traceable, and ready to use the moment it lands.

Governance — woven through every step

Trust isn't a final step.

PHI is handled with the discipline healthcare demands at every stage, not bolted on at the end.

HIPAA-alignedData lineageAccess controlsValidation rulesAudit logsDocumentation

Every record can be traced from the source system to the final report — exactly the evidence auditors and payors ask for.

What you can expect

Principles that hold on every engagement.

Advisors first

We start by understanding the outcome you need, not the tool we want to sell. The data is the means; better decisions are the point.

Clinically literate

Our team knows what the data means, so mappings reflect real clinical and financial reality — not a guess at what a field might hold.

Audit-ready by default

Lineage and documentation come standard, so you're never scrambling when a regulator or payor asks how a number was produced.

System-agnostic

We're not tied to one vendor. We work with whatever you run today and whatever you migrate to tomorrow.

Built to repeat

Extractions are engineered as durable pipelines, not one-off pulls — so the data keeps flowing reliably long after go-live.

One source of truth

However many systems feed in, the goal is always the same: one trusted, normalized dataset everyone can rely on.

Let's get started

A clear process, a clear result.

Bring us your systems and your reporting goals. We'll walk you through exactly how the four steps apply to your environment.

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