Steinert Analytics

One method. Three kinds of healthcare company.

Every healthcare company moves revenue through a series of stages before it becomes cash. Find the flow that looks like yours.

DME and HME operators

Multi-branch operators with a couple hundred employees or more, often PE-backed and growing by acquisition.

Leaders we work with
President, COO, CFO
Where revenue sticks
Intake queues, prior auth, denials, aging A/R
Systems in the flow
Brightree, Coral, fax, portals, ERP
See the DME flow

Virtual care and provider groups

Telehealth, virtual MSK and practice groups, plus department leaders at health systems.

Leaders we work with
CEO, CFO, CTO
Where revenue sticks
Coding logic, manual reporting, data across EHR and billing
See provider and healthtech data

Healthtech revenue teams

Healthtech companies that sell to providers and health systems and need a pipeline they can trust.

Leaders we work with
Founder-CEO, CRO, VP of Sales
Where revenue sticks
Undefined deals, broken attribution, a shaky forecast
See commercial revenue

A good fit

  • You run a healthcare or healthtech company
  • Revenue moves through several systems before it becomes cash
  • You suspect revenue is sitting somewhere and can't see where
  • An executive owns the number and can make process decisions

Probably not a fit

  • You're outside healthcare and healthtech
  • You already have a single view of every stage, and you're working on cycle times

Four steps, the same in every flow

  1. Diagnose

    The Revenue Flow Scorecard maps your stages, shows where the data for each one lives, and gives a first estimate of stuck value.

  2. Build

    The Revenue Flow Dashboard shows every stage with value, conversion and time. Drill in by branch, source, payer or rep.

  3. Improve

    We go after the stage with the most money in it, using process fixes, data fixes and targeted AI and automation.

  4. Run

    On a monthly retainer, someone owns the flow, watches the dashboard and keeps revenue moving.

Built for healthcare data

  • Designed around HIPAA requirements

    We build data platforms for protected health information from day one.

  • BAA before access

    Compliance requirements are handled before anyone touches a system.

  • Your data stays with you

    The work runs on your infrastructure, and your audit logs stay there too.

  • Every number documented

    You can see how each figure is calculated and where it came from.

Our trusted partners

We're a certified Keboola implementation partner and work with Orchestra for data orchestration. We still fit every build to the stack you already run.

  • Keboola
  • Orchestra

Common questions

Christian Steinert
Christian SteinertFounder & Chief Data Strategist
Which service is right for us?

That depends on your company type. DME and HME operators start with the DME flow, virtual care and provider groups with provider and healthtech data, and healthtech revenue teams with commercial revenue.

Is the method different for each kind of company?

No. The stages differ, but the four steps are the same in every flow: diagnose, build, improve and run.

What makes a company a good fit?

A good fit is a healthcare or healthtech company whose revenue moves through several systems, with an executive who owns the number and can make process decisions.

When are you probably not a fit?

We're probably not a fit if you're outside healthcare and healthtech, or if you already have a single view of every stage and you're working on cycle times.

Which platforms do you work with?

We work with Microsoft Fabric, Snowflake, dbt, Power BI, HubSpot and Salesforce, among others, and we fit every build to the stack you already run.

See where your revenue is stuck.

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