We find and fix the bottlenecks in healthcare revenue
For DME and HME operatorsvirtual care and provider groupshealthtech revenue teams
We find where revenue is stuck in your healthcare company, show how much is sitting there, and build what gets it moving, from first referral to cash in the bank.
We focus only on healthcare and healthtech. If one of these sounds like you, we should talk.
Multi-branch operators with a couple hundred employees or more, often PE-backed and growing by acquisition.
Telehealth, virtual MSK and practice groups, plus department leaders at health systems.
Healthtech companies that sell to providers and health systems and need a pipeline they can trust.
Your president, COO and CFO see where the money is sitting, branch by branch. Click around.
Sample data for a fictional operator, shown to illustrate the view. It isn't a client's data.
You usually can't change the value much. Conversion and time are where the money is.
How many dollars are sitting in this stage right now?
What share moves on to the next stage, and what share falls out?
How long does it take to move from this stage to the next?
Four steps, the same in every flow.
The Revenue Flow Scorecard maps your stages, shows where the data for each one lives, and gives a first estimate of stuck value.
The Revenue Flow Dashboard shows every stage with value, conversion and time. Drill in by branch, source, payer or rep.
We go after the stage with the most money in it, using process fixes, data fixes and targeted AI and automation.
On a monthly retainer, someone owns the flow, watches the dashboard and keeps revenue moving.
Net 5-year benefit for a $100M home medical equipment company
5-year ROI on that same project, with payback in 12 months
Less maintenance overhead after moving to Microsoft Fabric
Saved every week at a telehealth company
Less time to reach EMR data for that company's sales team
Steinert Analytics was a game-changer for our digital health tech company. We had a massive amount of data from various EHRs handled by one of our data engineers who departed. Steinert Analytics came in and served as the backbone for our data infrastructure in a pinch.
Steinert Analytics has been an instrumental partner in successfully migrating to a Fabric Lakehouse structure at my company. … They have been consistent thought partners and are actively engaged in serving our company goals alongside us. … Their character and ability speaks for itself.
For the first time in my career, my team spends more time on analysis than data preparation. We've identified millions in optimization opportunities we simply couldn't see before.
The transformation went beyond cost savings. We now trust our data completely, make decisions faster than our competitors, and our teams are energized working on strategic initiatives instead of maintenance tasks.
We build data platforms for protected health information from day one.
Compliance requirements are handled before anyone touches a system.
The work runs on your infrastructure, and your audit logs stay there too.
You can see how each figure is calculated and where it came from.
Work with patient data runs under signed BAAs, with safeguards built in from day one.
We build on trusted enterprise cloud platforms with independently audited security controls.
Christian Steinert, Founder & Chief Data Strategist, founded Steinert Analytics in 2021 in Central Ohio. He holds the stage map, the dollar figure and the client relationship. A team of specialists builds on the tools each client already runs.
We build and you decide. Your team owns what counts as a referral, a deal or a customer. We build the data model, the dashboards and the automation, and we document how every number is calculated.
20 conversations with the people running healthcare and healthtech companies.
5 data mistakes that drain profits, and how to fix them.
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We find and fix the bottlenecks in healthcare revenue. We show where revenue is stuck and how much is sitting there, then build what gets it moving, from first referral to cash in the bank.
We work with DME and HME operators, virtual care and provider groups, and healthtech revenue teams across the United States.
Revenue flow is the path money takes through your company's stages before it becomes cash. At every stage we look at three things: value, conversion and time.
Every engagement follows four steps: diagnose, build, improve and run. We map your stages, build one view of them, go after the stage with the most money in it, and keep it moving on a monthly retainer.
No. We work with the tools you already run and fit each build to your stack.
We use AI and automation where a stage is still manual or repetitive, after your data definitions are right. Any AI tool that touches patient data needs a BAA, and we check before we build.
A BAA comes first. Compliance requirements are handled before anyone touches a system, and the work runs on your infrastructure, where your audit logs stay.