Steinert Analytics

Provider and healthtech data

For CEOs, CFOs and CTOs at virtual care, telehealth and practice groups, and department leaders at health systems. We build data platforms designed around HIPAA requirements on Fabric or Snowflake, starting with the stage where revenue is stuck.

Revenue is piling up at CPT code.

Where revenue sticks

  • Coding logic that lives in people's heads
  • Manual reporting across finance and operations
  • Data spread across the EHR, billing and your platform
  • Open A/R stranded in an old system
  • Denials that repeat by payer, code and modifier

Three problems we solve

Billing logic for virtual care

We organize, version, audit and test the rules behind your CPT codes, so billing doesn't depend on one person's memory.

The A/R migration problem

When you switch EMRs or get acquired, old A/R often doesn't move. A warehouse that becomes the source of truth for open A/R lets you shut the old system off sooner.

Denial patterns by payer

We learn which payer, code and modifier combinations get denied from your remittance history, then flag them before submission.

Current client work

What we're building with a virtual MSK company

This is our description of the work. We've left the company's name out.

  • A Microsoft Fabric platform that started as an end-to-end proof of concept, from ingestion through data modeling to a dashboard
  • A semantic layer that generates CPT codes from what clinicians enter, such as session duration
  • Dev, test and production workspaces, with QA sign-off before anything reaches production

What this looked like at a telehealth company

25 hrs

Saved every week

60%

Faster runtime on core SQL pipelines

90%

Less time to reach EMR data

We wouldn't have been able to withstand the rapid growth we experienced in early 2024 without Steinert Analytics.
Brock Leonti, Founder & CEO, Prescribe FIT

Read the case study

How we start

We work with Microsoft Fabric, Snowflake, dbt, Power BI and semantic layers, and we fit the build to your stack.

  1. Map

    A KPI map that shows which stages you can and can't see.

  2. Build

    A first build on the top problem, not a long foundation project.

  3. Run

    A monthly managed analytics retainer.

Health systems

We start with one department, such as a service line, physician group, revenue cycle or research team, and one specific problem. We fit the build to the stack you already run.

Common questions

Christian Steinert
Christian SteinertFounder & Chief Data Strategist
Who is this for?

This is for CEOs, CFOs and CTOs at virtual care, telehealth and practice groups, and for department leaders at health systems.

How do we start?

We start with a KPI map that shows which stages you can and can't see, followed by a first build on the top problem instead of a long foundation project.

Which platforms do you build on?

We work with Microsoft Fabric, Snowflake, dbt, Power BI and semantic layers, and we fit the build to your stack.

What happens to open A/R when we switch EMRs?

Old A/R often doesn't move when you switch EMRs or get acquired. A warehouse that becomes the source of truth for open A/R lets you shut the old system off sooner.

How do you work with health systems?

We start with one department, such as a service line, physician group, revenue cycle or research team, and one specific problem.

Tell us which number you can't trust.

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