US HealthCare Market Series: #3 – Understanding the US Healthcare Market: Follow the Money

 

This is article #3 in our series. Check out the first two here:  Article 1, Article 2

 

 

The United States healthcare system is, first and foremost (and despite significant public funding), a “free” market system.

 

The numbers tell the story:

 

  • Roughly half of Americans get their health coverage through employer-sponsored private insurance.
  • Another twenty percent are covered by Medicare—increasingly administered through private Medicare Advantage plans.
  • Twenty percent receive coverage through Medicaid, the vast majority delivered through privately managed Medicaid MCOs.
  • The remainder are covered through individual market plans or are uninsured.

 

Even programs that are publicly funded flow primarily through private market mechanisms. Medicare Advantage plans manage 54% of Medicare beneficiaries. Medicaid MCOs serve 72% of Medicaid enrollees. Public dollars, private delivery.

 

This means that to understand how the US healthcare market functions, how purchasing decisions get made, how value is defined, how solutions get adopted—you need to understand it through a payer-driven lens.

 

In most European systems, a single-national or regional payer sets the rules. Providers navigate one set of regulations, one reimbursement structure, one definition of value.

 

The US operates differently: dozens of payers, each with their own contracts, metrics, and incentives… and this is true for the small family doctor operating independently to the specialist operating in a health system. This is what we mean by “payer-driven”—not that someone pays for care (that’s universal), but that the fragmentation of who pays fundamentally shapes how the market functions. Different payer types and contracts have different rules, risks, and rewards.

 

For example, that includes different:

 

  • Decision-making processes and purchasing authority
  • Reimbursement models and payment mechanisms
  • Regulatory oversight and compliance requirements
  • Quality metrics and performance incentives
  • Definitions of value and return on investment

 

A U.S. healthcare provider doesn’t manage “patients” in an undifferentiated sense. They manage multiple distinct populations, defined by payer contracts, with varying rules, metrics, and financial incentives.

 

A primary care practice will simultaneously manage patients covered by three different commercial insurance carriers, traditional Medicare, two different Medicare Advantage plans, their state’s Medicaid program, and various individual market plans. Each represents a different “mini-business” with different contractual obligations, documentation requirements, quality measures, and reimbursement structures.

 

This means that when evaluating a digital health solution, U.S. healthtech buyers ask a fundamentally different question than their European counterparts. Not simply: “Does this improve care quality or operational efficiency?” but rather: “Does this improve care quality or operational efficiency in a way that aligns with the specific contractual obligations, financial incentives, and quality metrics we are managing across our payer mix?”

 

A solution that delivers tremendous value for providers managing Medicare Advantage populations may be irrelevant to providers primarily serving commercially insured patients under fee-for-service contracts.

 

The same clinical problem can represent entirely different business problems, and advantages, depending on the payer context.

 

But, Operations are Provider-Driven

 

Following the money tells you where financial pressure and purchasing power live. But it doesn’t tell you the whole story.

Healthcare is ultimately delivered by providers, physicians, nurses, administrators, care coordinators, and the practices, hospitals, and health systems they work within. Clinicians operate within specific organizational structures and clinical workflows. Understanding how care is organized, who controls operational decisions, and what constraints providers face is equally critical.

 

This creates a fundamental tension in the US market.

 

The market is structurally payer-driven in terms of money flows and purchasing authority. But it is operationally provider-driven in terms of care delivery and solution adoption.

 

Financial incentives may flow from payer contracts, but the day-to-day reality of healthcare delivery is controlled by providers managing clinical workflows, patient relationships, and operational constraints.

 

This means your economic buyer (the person with budget authority and decision-making power) may not be the same person who will use your solution day-to-day. And the person who uses it may not be the person whose operational reality determines whether it gets adopted into actual workflows. (And we return to the complexity created by fragmentation).

 

This split is where many solutions, especially those built outside the US context, fail.

 

The Case Study: DocuAide Enters the US Market

 

Consider a hypothetical example: DocuAide, a clinical documentation tool developed in Germany.

 

DocuAide uses ambient AI to capture patient encounters and generate clinical notes, reducing documentation time by roughly 40%. In Germany, the value proposition is straightforward: physicians spend less time on paperwork, more time with patients. Practice efficiency improves. Physicians are happier. The ROI is clear.

 

An American practice administrator hearing the same pitch asks different questions:

 

“Does it improve my HCC coding accuracy for my Medicare Advantage contracts?”

 

“Will it reduce claim denials from Aetna?”

 

“Can it capture the quality measures I need to report for my MSSP ACO?”

 

“Does it integrate with my EHR’s revenue cycle module?”

 

Same product. Same core functionality. Completely different evaluation framework.

 

Why the complexity?

 

Because in the US, that practice doesn’t manage “patients”; it manages business units and contracts. To collect and defend claims paid to a provider for Medicare Advantage patient, the provider needs documentation that captures HCC codes for risk adjustment. That Aetna patient needs prior authorization paperwork. That Medicaid patient’s visit must meet state-specific quality metrics. The same building, same doctors, are treating the same conditions, but operating under different requirements.

 

This workflow problem is shaped by payer requirements.

 

DocuAide’s founder, might focus on “reducing physician burnout from documentation burden.” This is a real problem. But in the US, physician burnout isn’t the (prioritized) purchasable problem.

 

The purchasable problem is: “Our Medicare Advantage contract requires accurate HCC coding for risk adjustment, and our physicians are missing diagnoses that cost us $200 per member per month.”

 

Or: “We’re losing $50,000 a month to claim denials because documentation doesn’t support medical necessity for the commercial payers.”

 

Or: “We can’t take on more value-based contracts because our current documentation doesn’t capture the quality measures required for performance bonuses.”

 

The value proposition, therefore, must be framed by payer contract requirements.

 

In addition to this, American clinicians have learned to be skeptical. They’ve lived through waves of EHR implementations that promised to reduce their workload but were actually built to serve revenue cycle requirements. The result is deep skepticism toward “solutions” that don’t clearly address their specific workflow pain points, while also delivering on the financial and compliance requirements that drive institutional purchasing decisions.

 

The value proposition, therefore, must align with the provider’s operational realities.

 

DocuAide needs to ask:

 

  • Which payer types does the target practice serve? (Commercial insurance? Medicare? Medicaid? A mix?)
  • What reimbursement model governs each contract? (Fee-for-service? Capitation? Value-based arrangements?)
  • What specific quality metrics or documentation requirements are contractually mandated? (These vary by payer and by contract)
  • How does documentation quality affect the practice’s financial performance under each contract?

 

The same practice managing commercially insured patients under fee-for-service contracts has different documentation priorities, perhaps focused more on coding specificity to maximize reimbursement per visit, or on supporting prior authorization requirements for certain procedures or medications.

 

Purchasing authority doesn’t rest with end-users

 

DocuAide’s leadership might assume that if clinicians love DocuAide, adoption will follow. But in the US, clinicians rarely control purchasing decisions.

 

Budget authority lives with:

 

  • Practice administrators or CFOs (in independent practices)
  • Health system IT departments and finance teams (in hospital-owned practices)
  • Revenue cycle management leadership
  • Population health management teams (for practices taking on risk-based contracts)

 

These decision-makers evaluate solutions based on measurable ROI: Will this tool increase reimbursement? Reduce claim denials? Improve performance on value-based contracts? Reduce compliance risk? Enable the practice to take on more patients without adding staff?

 

The decision for adoption, therefore, is not about the actual effectiveness of the product—it’s about measurable financial impact within specific payer contexts.

 

What This Means for DocuAide’s Market Entry

 

Before DocuAide can develop a go-to-market strategy, it needs to:

 

  1. Define the target payer segment(s): Which types of payer contracts create the most urgent need for improved documentation? Where does DocuAide’s functionality align with contractual requirements and financial incentives?
  2. Identify the economic buyer: Who controls budget for this category of problem? What metrics do they use to evaluate ROI?
  3. Map the decision-making unit: Beyond the economic buyer, who influences the purchase decision? (Clinicians, IT, compliance, revenue cycle—each will have evaluation criteria)
  4. Reframe the value proposition: How does DocuAide support the practice’s ability to succeed under specific payer contracts? What measurable financial or operational outcomes can be demonstrated?
  5. Understand workflow integration requirements: Different payer contracts often require different documentation elements, coding specificity, and quality measure reporting. Can DocuAide adapt to these varying requirements within a single practice?

 

Without this foundational understanding, DocuAide risks positioning a solution to a problem that, while real, will have no adoption success in a US market.

 

The Takeaway

 

The U.S. healthcare market is not a single system with a single definition of value. It is a collection of thousands of overlapping markets, each organized around different payer types, each with different incentives, metrics, and purchasing dynamics.

 

For EU founders, this requires a fundamental shift in approach.

 

It is not enough that your solution “does a thing”—even if that thing demonstrably improves clinical outcomes or operational efficiency.

You must understand how your solution fits within the specific financial and operational context of a defined market segment, organized by payer type.

 

This means being able to answer:

 

  • Which specific payer contracts does your solution support?
  • How does it increase revenue or reduce costs within those contracts?
  • How does it fit within existing clinical and operational workflows shaped by those payer requirements?
  • Who has budget authority to purchase solutions in this category, and what metrics do they use to evaluate ROI?

 

The complexity and fragmentation of the U.S. market can feel overwhelming. But this fragmentation also creates real opportunity. Different payer segments have different unmet needs, different levels of competitive intensity, and different willingness to adopt innovation.

 

The US market rewards this level   of focus—and punishes companies that try to sell  everything to everyone. Expert guidance is a necessity here, not a luxury.

 

US HealthCare Market Series: #2 – Understanding the US Healthcare Market: A Field Guide for EU Digital Health Founders

 

We opened this series with a reflection on how many EU founders misread US market dynamics, misunderstanding not only demand and opportunity, but the structural forces that shape adoption, scale, and success.

 

They rely, understandably, on the mental models and assumptions of their home countries. Many EU and international digital health founders approach the US as if it were a single healthcare system: large, complex, and imperfect, but ultimately coherent.

 

This assumption is understandable.

 

There is one FDA. National programs like Medicare and Medicaid exist. Major hospital brands operate across multiple states.

The infrastructure suggests centralization. This leads founders to make several miscalculations and mistaken assumptions.

 

For example, they assume:

 

  • the only (or best) path into the US market is as a clinical FDA-regulated intervention.
  • there is a meaningful nexus between regulatory review and approval and market adoption.
  • regulatory approval is “the hard part” and underestimate the commercial and operational challenges of bringing an innovation into a clinical practice.

 

But as we discussed previously, the U.S. healthcare “system: is better understood as as an ecosystem than as a centrally designed system. It’s Jurassic Park, not We Bought a Zoo. Each requires different skills, strategies, and tools.

 

I use the term ‘ecosystem’ intentionally; and I want to pause and ensure that this Jurrasic-tinged theme hits home before we proceed further. Classifying it as an ecosystem captures the unexpected diversity and adaptation to local conditions that emerges in the absence of centralized authority and intentional design. In the absence of that centralized authority and vision, there is no external force smoothing out variation, aligning priorities, or reallocating resources toward a shared objective. Variation is not mitigated, but amplified.  

 

Consequently, in in the US ecosystem, local conditions exert disproportionate influence over what gets adopted, funded, scaled or abandoned. What thrives is not what is universally optimal, but what is well-adapted to its specific environment; or, more accurately, what is perceived as the most urgent issues for local decision makers. What succeeds in California may fail in Texas. Resources flow differently. Competitive pressures differ. Regulatory and political constraints diverge.

 

This is the crux of why the distinction between a system and an ecosystem matters.  Because there is no centralized organizing force fragmentation and localization are not temporary features to be engineered away. They are defining characteristics of the U.S. healthcare market, and they are the first things that a founder must wrestle with when considering market entry.

 

What follows in this article (the second in our Field Guide) is an exploration of the practical consequences of that reality.

 

If the U.S. healthcare market is an ecosystem rather than a system, how does that shape the structure of the market itself? How does fragmentation manifest in practice? And why does this variation, while often experienced as a barrier, also create opportunity for founders who understand how to navigate it?

 

In this installment, we continue to challenge prevailing mental models by examining how:

 

  • The U.S. healthcare market is not a monolith, but a network of overlapping regional markets and systems;
  • Fragmentation is a structural feature of the environment, not a bug; and
  • This fragmentation creates both real barriers and strategic openings for the savvy navigator.

 

Let’s get started.

 

The Illusion of (Immediate) Scale

 

For many EU founders, the immediate appeal of the U.S. market is its scale: one regulatory checkpoint theoretically provides access to over 330 million people. This vision of access to a single massive market is tantalizing. It is also misleading.

 

This is because the U.S. healthcare market is not a monolith. I want to pause here a moment, because it can be tempting to glibly pass over that statement. I mean, of course the U.S. healthcare market isn’t a monolith (who said it was?)– the US itself isn’t a monolith. But what I want you to appreciate is the diversity and fragmentation that exists because there isn’t a centralized system setting the agenda, and allocating resources. Once again, the US healthcare market is an ecosystemnot a system.  It is a patchwork of competing actors, rules, and incentives, knitted together by shared interests, history, and federal funding. Fragmentation is a profound, pervasive and protected feature of this environment.

 

It is not simply and accidental or bothersome byproduct. Therefore, the more accurate, and more actionable, way to think about the United States is not as one market, but as a loose confederation of (at least) fifty distinct regional markets, each with its own stakeholders, infrastructure, regulatory environment, and healthcare needs.

 

Medicaid: A Case Study in Fragmentation and Diversity

 

To illustrate just how fundamental fragmentation is in the US healthcare “system”, it is useful to start with Medicaid.

 

The choice of Medicaid (as opposed to private insurance – which actually dominates the US landscape) as a case study is intentional. Of all the U.S. health programs, Medicaid most closely resembles the centralized, government-administered health systems familiar to European founders. It was created by federal legislation, is publicly funded, targets a defined population, and is overseen by a federal agency. On paper, it looks like the kind of national program that would impose uniformity across the system.

 

It does not.

 

Instead, Medicaid is fifty different programs under one statute. And, as commonly cited by Medicaid operators, and regulators: “If you know one Medicaid program, you know one Medicaid program.

 

Let’s back up: Medicaid is a public program created by federal legislation in 1965, funded by government (both federal and state contributions), and designed to provide comprehensive coverage to a specific population (in this case, low-income Americans). It’s administered by a federal agency (the Centers for Medicare & Medicaid Services) responsible for establishing baseline program requirements and conducting oversight of the states’ administration and performance. On paper, it looks like a national program with consistent standards and centralized administration. In practice, it demonstrates exactly why thinking of the “the US Medicaid Market” as “one market” is fundamentally misleading.

 

As a jointly administered (and funded) federal-state partnership, states have primary authority for the design and administration of their individual state Medicaid programs. The result is that there are more than fifty different Medicaid programs (one for each state, plus territories and the District of Columbia). These programs differ significantly across multiple dimensions:

 

Eligibility criteria: Who qualifies for coverage varies significantly by state.

 

Some states have expanded Medicaid under the Affordable Care Act to cover adults earning up to 138% of the federal poverty level; others restrict eligibility restricted to only low-income children, pregnant women, and the disabled.

 

Covered Services: The types of medical services covered beyond federal minimums vary substantially.

 

Some states cover dental and vision for adults, others don’t. Behavioral health benefits, transportation services, and coverage for emerging technologies like telehealth or remote patient monitoring, differ wildly.

 

Delivery models: Most states rely heavily on managed care organizations (private insurers contracted to manage Medicaid populations), but some states directly administer the programs within a more fee-for-service infrastructure.

 

The number of managed care plans, their market share, and their sophistication varies dramatically. California has a dozen major Medicaid managed care plans with sophisticated value-based care capabilities; Wyoming has a predominantly fee-for-service model with limited managed care penetration.

 

Reimbursement rates: What providers are paid for the same service varies across states, affecting which providers participate in Medicaid and their capacity (or willingness) adopt new technologies or care models.

 

Tailored Innovation: States rely on federal waivers to test new payment models, delivery approaches, or coverage expansions.

 

Some states are actively experimenting with value-based care, social determinants of health interventions, or technology-enabled care delivery. Others maintain more traditional fee-for-service approaches with limited innovation initiatives.

 

This means that a digital health solution serving Medicaid beneficiaries in California may be irrelevant or even incompatible with the Medicaid program in Texas or Florida – even though the patients may share the exact same need.

 

Beyond Medicaid

 

The state-level variation extends beyond Medicaid:

 

Commercial insurance is regulated at the state level. State insurance departments approve plan designs, set rate review processes, and establish consumer protection requirements.

 

What constitutes an allowable benefit design, how plans can be marketed, and what consumer protections exist vary by state.

 

Provider licensing and scope of practice regulations vary by state. What services nurse practitioners can provide independently, whether physicians can practice telemedicine across state lines without additional licensing, what mental health professionals can prescribe, all of this varies.

 

A digital health solution that relies on a particular care delivery model (nurse practitioners providing primary care, or licensed clinical social workers managing behavioral health) may not be viable in all states without substantial modifications to workflows.

 

Telehealth policies vary by state. Reimbursement parity (whether insurers must pay the same for telehealth as in-person visits), what modalities are reimbursable (live video, store-and-forward, remote patient monitoring), and what settings qualify all vary.

 

A telehealth-enabled solution may have strong reimbursement support in one state and face significant barriers (or indifference) in another.

 

Even Medicare (a wholly federal program with nationally standardized eligibility, benefits, and payment rules) exhibits meaningful regional variation, with variation in implementation, coverage interpretation, and market dynamics.

 

What this Means when developing a Market Entry Strategy

 

For EU founders, this reframing from “the U.S. market” to “U.S. markets” has several critical implications.

 

Let’s start with the good news: by recognizing and respecting market fragmentation and diversity, market entry becomes more manageable. Instead of needing a strategy to penetrate a 330-million-person market, you are forced to focus on specific geographic markets where your solution has the strongest product-market fit, where you have relationships or local knowledge, or where regulatory and market conditions are most favorable.

 

You don’t need to “enter the U.S. market.” You need to succeed in small subsections: Ohio, or the Mid-Atlantic region, or among specific safety-net providers in major metropolitan areas.

 

This is a fundamentally different strategic position, and it requires different analysis. It means asking:

 

  • Which states have the regulatory environment that supports (or at least doesn’t inhibit) your solution?
  • Which have the payer mix that aligns with your value proposition?
  • Which have provider networks or health systems (or lack thereof) that present natural entry points?

 

Variation creates opportunity—if you choose strategically. Different states are at different stages of healthcare transformation, have different budget constraints, and different appetites for innovation. A state struggling with a particular challenge—rural access, maternal health outcomes, chronic disease management, opioid epidemic response—may be actively seeking solutions and willing to pilot new approaches.

 

Massachusetts (Boston-area, most notably), for example, has been a consistent leader in healthcare innovation, with a sophisticated payer landscape, strong academic medical centers, and a history of piloting new payment and delivery models. The same goes for Washington State, which has the longest history experimenting in population health and managed care models. Both states are actively testing solutions that better integrate behavioral health, as well as integrating social determinants of health.

 

On the other end of the spectrum, Mississippi has a less sophisticated payer landscape and agenda, but as it faces profound rural access challenges, but is likely to be more  receptive to solutions that address fundamental access gaps or enable specialists to operate remotely from hub facilities.

 

Understanding which states have the political will, regulatory flexibility, and budget capacity to support your type of solution becomes the key part of market selection.

 

This isn’t about finding the “best” state—it’s about finding the right state for your specific solution at your specific stage of development. Are you targeting early adopters with sophisticated infrastructure, or are you solving fundamental access problems in under-served markets? Different states represent different strategic opportunities.

 

Proof points are portable, but expansion requires adaptation. Success in one state creates a case study and proof of concept that can be leveraged elsewhere.

 

Demonstrating impact with California Medicaid creates credibility when approaching New York or Illinois. But expansion to other states is genuine expansion and not scale – it requires understanding local market dynamics, building new relationships with different payers and providers, and often adapting the product or business model to local regulatory and operational requirements.

 

In short: this is not “land and expand” in the traditional agile-software sense, where success with one customer creates a reference and the product scales horizontally with minimal adaptation. This is market-by-market expansion, each requiring its own go-to-market strategy, partnership development, stakeholder engagement, and often product adaptation. Your success in one market proves your capability and creates a foundation, but it doesn’t automatically unlock neighboring markets.

 

Resource allocation decisions become clearer. When you think of the US as one market, the resource requirements feel overwhelming: you need a national sales team, relationships with national payers, presence across the country. However, when you think of the US as fifty markets, you can make deliberate choices about where to focus limited resources and develop the relationships (and generate proof of impact) where it matters most.

 

You might choose to focus on three target states in your first 18 months, building deep expertise in those markets, establishing strong customer relationships and proof points, and achieving product-market fit before expanding. This approach is both more reflective of the realities and demands of the US system, while also being a much more realistic and capital-efficient path than trying to achieve national scale from day one.

 

So how do you choose which markets to target? Consider analyzing several dimensions:

 

  • Regulatory environment: Which states have the licensing, scope of practice, telehealth, and insurance regulations that enable (or at least don’t prohibit) your solution? Some states are regulatory leaders that welcome innovation; others maintain more restrictive approaches.
  • Payer landscape: Which states have the payer mix (Medicaid expansion status, managed care penetration, commercial market structure, Medicare Advantage presence) that aligns with your value proposition? If your solution is designed for value-based care arrangements, you need markets with sophisticated managed care infrastructure.
  • Provider infrastructure: Where are your target customers (health systems, independent practices, FQHCs, specialty providers) concentrated? What is their level of technological sophistication? What is their capacity to adopt new solutions?
  • Market need: Which states are struggling with the specific problem you solve? Where is the pain point most acute? Where does your solution address a recognized state priority (rural access, maternal health, chronic disease, behavioral health)?
  • Competitive dynamics: How saturated is the market for your category of solution? Are there established competitors, or is this relatively white space? Where do you have differentiation?
  • Your capabilities: Where do you have existing relationships, local knowledge, or operational presence? Which markets can you realistically serve given your current team, capital, and go-to-market capacity?

 

The goal isn’t to find the “best” state in absolute terms, but to identify the first beachhead.

 

You want a market where you can gain traction, prove impact, build relationships, and establish proof points that can be leveraged for expansion. Understanding that the U.S. represents fifty+ distinct markets rather than one monolithic system is the first critical reframing for EU founders. It makes market entry more manageable, turns fragmentation from an obstacle into a strategic opportunity, and enables more focused and efficient resource allocation.

 

This reframing shifts the question from “How do we enter the US market?” to “Which US markets should we enter, and in what sequence?” It means being deliberate about market selection, realistic about the resources required for expansion, and strategic about building proof points that can be leveraged over time.

 

Knowing you’re targeting “California” or “the Mid-Atlantic region” is only the beginning.

 

To actually succeed in those markets, you need to understand how they’re organized operationally which means understanding the payer-driven dynamics that govern how care is purchased, delivered, and valued. Different payer types have different incentives, purchasing processes, quality metrics, and definitions of value. And any successful digital tool needs to adapt to those dynamics. That’s what we’ll explore in the next article.

 

 

 

About the Author Tina Simpson is a healthcare strategist and co-founder of Line Axia, a consultancy that helps European digital health companies navigate U.S. market entry. Having worked on both sides of the Atlantic, she specializes in translating across healthcare ecosystems, 90s adventure films, and regulatory jargon.

 

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