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Patient, User, Purchaser: The Three Stakeholders

  • William Conway-Vimier
  • Jul 7
  • 7 min read

Introduction

Most medical device founders start with a compelling, patient centered story; the patient is better off because of what we built. It is the right instinct but in MedTech, your device also has to consider the person who uses it, and the entity that pays for it. A novel imaging tool can improve outcomes, but if it frustrates the clinician operating it, it will still fail to clear a hospital's purchasing committee. 


This is the MedTech value triangle: patient, user, and purchaser. Successful device development depends on satisfying all three before you commit serious capital to a prototype. Teams that optimize for one corner and assume the others will follow tend to discover the gap late, after the design is hard to change and the burn rate is already high. The earlier you map the full triangle, the cheaper your mistakes are.


The Three Stakeholders

In consumer software, the user, the beneficiary, and the buyer are often the same individual. Someone wants a tool, tries it, and pays for it. MedTech almost never works that way.

The patient receives the clinical benefit but typically has no say in procurement and may never see the device by name. The clinician is the user, and their experience determines whether the product gets adopted in daily practice or quietly abandoned after the pilot.


The purchaser, usually a hospital or health system, controls the budget and weighs the device against competing priorities, existing contracts, and reimbursement realities. These are three different audiences with three different definitions of value, and a strong product has to answer all of them.


The mistake is treating clinical benefit as if it automatically resolves the other two. It does not. A device can be clinically superior and commercially dead because it slows down a procedure, sits outside any billing code, or asks a hospital to absorb a cost it cannot recover.


Corner One: Clinical Benefit for Patients

Clinical benefit is the foundation, and it has to be real, specific, and measurable. Vague improvement claims do not survive contact with regulators, payers, or skeptical clinicians.

The sharpest question to ask early is whether the device changes a decision or an outcome that matters. A higher-resolution image is only valuable if it changes diagnosis, guidance, or treatment in a way the current standard of care does not. If the existing modality already gives clinicians enough information to act, marginal image improvement is a feature, not a value proposition.


Take intraoperative imaging as an example. A system that helps a surgeon better visualize tumor margins in real time can directly reduce reoperation rates, a genuine and quantifiable patient benefit. That is a strong clinical foundation. But notice that even here, the benefit only becomes a product if it survives the other two corners of the triangle. The clinical case opens the conversation but does not close the sale.

Define the patient benefit in terms that can later anchor an indication for use, support evidence generation, and translate into a claim you can defend. The more concrete the benefit, the easier every downstream regulatory and reimbursement decision becomes.


Corner Two: User Workflow for Clinicians

The clinician is where promising devices can often quietly die. A tool can be clinically excellent and still fail because it adds friction to a workflow that is already tightly choreographed and time-constrained.


Return to the intraoperative imaging example. Suppose the system genuinely improves margin detection but adds several minutes to each case, requires the surgeon to break sterile field, or demands a separate technician to operate. In a high-volume surgical setting, those costs are not abstract. Operating room time is expensive, surgeon attention is finite, and any step that disrupts established practice meets resistance. A device that improves outcomes but slows the surgeon down is asking the user to trade their efficiency for the patient's benefit, and that trade is harder to win than founders expect.


Strong user-fit means the device works inside the existing workflow rather than around it. Map the full clinical pathway the way an imaging team would: order, acquisition, interpretation, downstream action. Identify exactly where your device inserts itself and what it displaces. Then ask the uncomfortable questions. Does it add steps or remove them? Who has to learn something new? Does the output arrive at the moment the decision is made, or after? Display design, annotation clarity, and how results are surfaced all influence whether clinicians trust and adopt the tool.


Repeatability matters here as much as it does in prototype performance. A device that works beautifully in a controlled demonstration but behaves inconsistently across users and cases will erode clinician confidence quickly. Adoption depends on predictable behavior despite real world variability.


Corner Three: Economic Value for the Purchaser

The hospitals pay and have to look beyond the clinical benefit in the abstract. They buy a defensible economic case. Founders often underestimate this challenge, and it is frequently the one that determines whether a clinically strong, well-designed device ever reaches scale.

The economic question splits into the same components that govern any reimbursement strategy: can the procedure be billed, will payers cover it, and how much gets paid to whom. For many imaging products, the value to the payer is indirect. It shows up as downstream cost reduction, fewer complications, shorter stays, reduced reoperations, or improved throughput rather than a direct line item. That indirect value can be powerful, but it has to be quantified clearly.


For the intraoperative imaging system, the economic argument is strongest when it connects cleanly to a cost the hospital already carries. If reducing positive margins lowers reoperation rates, the device can be framed against the documented cost of those repeat procedures. That is a number a purchasing committee can evaluate. Absent that framing, the hospital sees only the acquisition cost, the integration burden, and the disruption, with the benefit accruing somewhere it cannot easily measure.


This is why reimbursement and economic value belong in early development conversations, rather than in a late-stage commercialization scramble. The coding, coverage, and payment landscape can shape your indication, your claims, and even your technical priorities. Discovering that there is no viable path to payment after the design is frozen is one of the most expensive lessons in MedTech, and one of the most avoidable.


When the Triangle Aligns

The strongest medical products are the ones where all three corners reinforce each other. The patient outcome improves, the clinician's job gets easier or at least no harder, and the hospital captures measurable value it can defend on a spreadsheet. When those align, adoption follows naturally because every stakeholder has a reason to say yes.


When they conflict, the product stalls in ways that are hard to fix after the fact. A device that helps patients but burdens clinicians faces adoption resistance. A device clinicians love but that lacks a reimbursement path faces a procurement wall. Mapping these tensions before prototype decisions are made is what differentiates teams that build efficiently from teams that spend months optimizing a variable the market was never going to reward.


A Practical Checklist for Founders

Before committing to a prototype direction, work through the full triangle deliberately:

Define the patient benefit. State it specifically and measurably. What clinical decision or outcome changes, and how does that differ from the current standard of care? If you cannot articulate the change, you do not yet have a benefit you can defend.


Identify the user pain point. Map the clinician's workflow and locate exactly where your device fits. Does it remove friction or add it? Who operates it, and what do they have to learn or give up? A device that costs the user time or attention needs an outcome benefit large enough to justify that cost.


Quantify the hospital value. Connect the benefit to a cost the purchaser already carries. Can it be coded, covered, and paid? If the value is indirect, name the specific downstream savings and frame them in numbers a committee can evaluate.


Test for a costly, frequent problem. The strongest case sits at the intersection of high cost and high frequency. A device that solves an expensive problem that occurs rarely is a hard sell, and so is one that solves a frequent but cheap problem. Aim for the problems that are both common and expensive, where every stakeholder feels the pain and every corner of the triangle has a reason to act.


If a concept holds up across all four, you have a far stronger basis for prototype decisions, evidence planning, and regulatory and reimbursement strategy. If it breaks down at any point, you have learned it at the cheapest possible stage, before the design hardens and the capital is spent.


Final Tip

Regularly talking to all three stakeholders, and understanding their opinions and needs, is going to be very useful for a team developing a MedTech product. Teams that do this excel and are ready to pivot when necessary. 


Conclusion

Patient benefit earns a medical device the right to be considered. It does not, by itself, earn adoption or revenue. The products that reach the market and stay there are built with the clinician's workflow and the purchaser's economics treated as first-class design inputs. Subsequently, the value triangle is a development discipline that shapes which prototype you build, which claims you pursue, and which problems are worth solving at all.


For founders, the practical takeaway is to map all three perspectives before the design decisions that are expensive to reverse. Reality will still be messy, and every product carries its own unknowns. But a team that has stress-tested the full triangle early moves with more direction and far less wasted effort.


If your team is shaping an early medical imaging product, an experienced applied R&D partner can help you pressure-test the full value triangle before you commit to a prototype. Caius Medical works with MedTech innovators to align clinical benefit, user workflow, regulatory pathways, and reimbursement strategy, so that what you build is something patients gain from, clinicians adopt, and hospitals are willing to buy. Reach out to talk through where your concept stands.

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