Healthcare & Health-Tech
Revenue growing at 26% while margin holds near 3%.
Mid-market health-tech platforms have averaged 26.7% three-year revenue growth against an EBITDA margin of just 2.7%, and clinical provider platforms sit closer to 1.9%. Roll-up strategies compound the underlying problem, because every acquisition adds another electronic health record, another billing engine, and another set of operating definitions. The reporting your sponsor asks for then gets assembled by hand each month, which is expensive and considerably less reliable than it appears.
What we see most often
The same five problems, in roughly the same order.
Organizations that have outgrown their data foundations tend to arrive at a recognizable set of symptoms, and seeing three or four of them together usually says more about the stage you have reached than about anything your team has done wrong.
Top-line growth has decoupled from profit
Clinical labor costs, wage inflation, and administrative overhead absorb operating gains roughly as quickly as they arrive. On a leveraged platform that dynamic determines whether debt service stays comfortable or becomes a conversation with your lender.
Revenue is leaking through the cycle
Disparate billing engines inherited from successive acquisitions produce elevated first-pass denial rates, delayed posting, and days sales outstanding beyond 65. Structural leakage of 3% to 6% of net revenue is common, and the internal billing team generally has neither the bandwidth nor the tooling to see where it originates.
Every acquisition adds interoperability debt
Isolated electronic health records, practice management platforms, and CRMs mean there is no single source of truth for clinical, operational, or financial performance. Board reporting becomes a manual spreadsheet exercise that tends to conceal operational risk rather than surface it.
Administrative load is driving clinicians out
Documentation and manual data entry across disconnected systems accelerate burnout, and the resulting turnover pushes you toward locum and agency staffing. That is the most expensive labor available, and it erodes precisely the margin the platform was assembled to protect.
The compliance surface grew with the platform
HIPAA and HITECH obligations, state oversight of both consolidation and algorithmic decisions in care, and an expanding third-party attack surface all arrived together. Most platforms of this size are carrying that load without a dedicated security or compliance executive in the seat.
By the numbers
What the research shows.
2.7%
Average EBITDA margin against 26.7% revenue growth
3–6%
Net revenue leakage through the revenue cycle
>$5M
Annual loss from poor data quality at over a quarter of organizations
10% vs 40%
Small-practice physicians with AI tool access, versus hospital-based
What it costs to leave alone
Everything described above converges at exit. A platform that cannot produce clean, consistent operating data across its acquisitions gets diligenced harder, valued lower, and occasionally repriced late in the process after months of work. Data quality stops being a technology topic on the day a buyer's analyst opens the data room, and by then there is very little time to improve the answer.
The question everyone asks
“Why can't we just use ChatGPT, Claude, or Gemini for this?”
Uploading unstructured patient notes to a consumer model interface constitutes an unauthorized disclosure of protected health information, which ends the discussion before any other consideration. Setting privacy aside, an ungrounded model will invent billing codes and misread payor contract terms with complete confidence, and no chat window can resubmit a claim, update a record, or post to the ledger without middleware, secure interfaces, and workflow orchestration built deliberately around it.
We use these tools every day and they make us considerably faster, which is exactly why we are careful about where they belong in your business. A model supplies capability, and somebody still has to decide what to automate, demonstrate that it is safe, and answer for the outcome when a regulator or a board asks.
The first 90 days
What happens once we start.
The first quarter is deliberately front-loaded so you can judge the engagement early. The first month establishes what is actually happening, the second is aimed at savings that cover the cost of the work, and the third sets direction your board can approve.
Days 1–30
Diagnostic
- Application and data inventory across every acquired entity
- Revenue cycle analysis covering denial rates, posting lag, and DSO by site
- HIPAA, security, and third-party risk posture review
- SaaS contract and license audit across the platform
Days 31–60
Quick wins
- Eliminate redundant licenses and duplicate point solutions
- Standardize operating and financial definitions across sites
- Board and sponsor dashboard with consistent platform-wide metrics
- Close the highest-value revenue cycle leaks first
Days 61–90
Roadmap
- Integration architecture and a repeatable onboarding playbook for add-ons
- Governed data platform design with cost controls built in
- AI use cases scoped to what the underlying data can genuinely support
- Exit-readiness plan for the data room
The objection we hear most
“Our sponsor sets strategy, so where does a fractional leader fit?”
Sponsors set the value creation thesis, and they rarely have the capacity to translate it into architecture, integration sequencing, and metrics that hold up across a dozen acquired entities. That translation layer is the work. It also happens to be what makes the thesis defensible in diligence, because the operating data finally supports the story being told about the business.
Proof
Work in healthcare & health-tech.
Client names are withheld where confidentiality requires it. Each engagement sets out the business problem, the technical approach, and what it produced.
Further reading
Writing relevant to this sector.
Published commentary covering the questions that come up most often in these conversations. Each opens the full article on Medium.
Let's talk about your healthcare & health-tech problem.
Half an hour is usually enough to establish whether fractional leadership suits where your business currently sits, and you will get a straight answer either way. There is no obligation attached, and no proposal unless you ask for one.