Revenue & Reimbursement
Who pays for medical devices, how insurance and reimbursement work, common business models, and how the revenue model shapes prototype design decisions.
In consumer products, the person who buys a product is usually the person who uses it and pays for it. Medical devices split these roles across three different stakeholders, and understanding this dynamic early prevents building something clinically brilliant that nobody can afford to purchase.
This page explains enough about the business side of medical devices to inform better prototype design decisions. You do not need an MBA to build a medical device, but you do need to understand who is writing the check.
The buyer / user / payer split
User
Surgeon, nurse, clinician, or patient
Clinical performance, usability, outcomes, training
Buyer
Hospital, health system, procurement team
Total cost of ownership, ROI, contract terms, logistics
Payer
Insurance company, Medicare/Medicaid, or patient (out-of-pocket)
Reimbursement codes, clinical evidence of necessity, cost-effectiveness
Why this matters
The surgeon may love your device, but the hospital CFO must justify the purchase within a fixed reimbursement payment.
The hospital may want to buy it, but insurance may not cover the procedure it is used in.
Insurance may cover it, but the reimbursement rate may be too low for the hospital to break even on the device cost.
A successful medical device must satisfy all three audiences. At the prototype stage, start building the economic argument alongside the clinical one.
How reimbursement works (U.S.)
U.S. medical device reimbursement rests on three pillars. All three must be in place for a device to generate revenue.
1. Coding: Identifying what was done
CPT codes describe the medical procedure performed (e.g., a specific surgery). These are maintained by the AMA.
HCPCS Level II codes identify specific products and equipment (durable medical equipment, prosthetics, supplies). These are the codes most relevant to device manufacturers.
ICD-10 codes describe the patient's diagnosis and determine which payment group applies.
2. Coverage: Whether it will be paid for
Even with a code, payers must determine the device is medically necessary for the indicated condition. Medicare makes coverage decisions through:
National Coverage Determinations (NCDs): Apply nationwide
Local Coverage Determinations (LCDs): Vary by region
Commercial insurers make their own independent decisions
3. Payment: How much will be paid
Inpatient
DRG (Diagnosis-Related Group)
Hospital receives a fixed lump sum per admission. The device cost is bundled in; there is no separate line item for the device.
Outpatient
APC (Ambulatory Payment Classification)
Similar bundled payment for outpatient procedures.
Home use
DME Fee Schedule
Durable medical equipment has its own payment schedule.
Physician
Physician Fee Schedule
Pays the doctor separately for professional services.
The critical insight: For most hospital-used devices, the device itself has no separate reimbursement. The hospital absorbs the cost within a fixed payment for the entire episode of care. If your device costs more than the DRG or APC payment allows, the hospital loses money on every case.
Getting a new device reimbursed
If no existing code covers your device, the process takes years:
Special pathways for novel devices
NTAP (New Technology Add-On Payment)
Supplemental inpatient payment on top of the DRG
Costly new technologies that are inadequately paid under existing DRGs
Transitional Pass-Through
Temporary separate outpatient payment for 2-3 years
Novel devices under the Hospital Outpatient system
TCET (Transitional Coverage for Emerging Technologies)
Expedited Medicare coverage, goal of NCD within 6 months of FDA authorization
FDA-designated Breakthrough Devices (up to 5 per year)
The "valley of death"
The period between FDA clearance and commercial viability kills many device companies.
The core problem: Cleared medical devices based on novel technologies take an average of 5.7 years to achieve Medicare coverage. During those years, the company needs revenue to survive but cannot generate it without reimbursement.
Why it happens
Reimbursement gap: FDA clearance and payer coverage are separate processes with different evidence requirements and timelines.
Funding gap: Investors fund through FDA clearance and then expect revenue. But revenue requires reimbursement, which takes years.
Misaligned clinical evidence: Clinical trials designed for FDA may not satisfy CMS, which often requires data from Medicare-age populations.
Commercialization complexity: Hospital sales involve GPOs, value analysis committees, and procurement processes that engineering-driven startups underestimate.
How to avoid it
Start reimbursement planning 18-24 months before anticipated FDA clearance, not after.
Design clinical trials that satisfy both FDA and CMS. Include Medicare-age patients and endpoints that payers care about.
Engage payers early. The FDA has an Early Payor Feedback Program.
Understand your reimbursement pathway before finalizing device design. The target payment mechanism should influence design decisions.
Common business models
The business model you choose directly affects how your prototype should be designed and built.
Capital equipment
Model: Hospital buys the device outright for a large upfront price.
Examples: MRI machines, surgical robots, hospital beds.
Design implication: Must be durable, serviceable, and have a long useful life (7-10+ years) to justify the investment. Modular design enables upgrades without full replacement.
Consumables / disposables (razor-and-blade)
Model: Sell the capital platform at modest margin, generate recurring revenue from disposable components required for each use.
Examples: Intuitive Surgical's da Vinci system: the robot sells for $500K-$2M (~15% of revenue), but single-use instruments at ~$1,800 per procedure account for ~61% of total revenue across 2.7 million annual procedures.
Design implication: The disposable's cost of goods sold is the key profit driver. Material selection, injection-moldability, and per-unit manufacturing cost matter enormously. Design the interface between platform and consumable to be proprietary.
SaaS / software components
Model: Recurring subscription for software: analytics, AI diagnostics, remote monitoring, software updates.
Examples: Connected patient monitors with cloud analytics, AI-assisted imaging interpretation.
Design implication: Design in connectivity (Bluetooth, Wi-Fi, cellular), sensors, and secure data transmission from the prototype stage. The hardware may be a loss leader for software revenue. Converts hospital spending from capital expenditure (CAPEX) to operational expenditure (OPEX), which many hospitals prefer.
Per-procedure / pay-per-use
Model: Hospital pays only when the device is used, aligning cost with utilization.
Design implication: Reliability and uptime are critical; downtime directly reduces revenue. Usage tracking must be built into the device to automate billing.
How the business model shapes your prototype
These are not abstract business decisions; they directly affect physical design choices you make during prototyping.
Disposable vs. reusable
Materials
Commodity plastics, lower-grade polymers
Surgical steel, ceramics, medical-grade polymers
Sterilization
Survives one cycle (EO, radiation)
Survives hundreds of cycles (autoclave at 134C)
Manufacturing target
Low per-unit cost at high volume
Higher per-unit cost, fewer units
Revenue model
Recurring consumable sales
One-time or lease payment
Many successful devices use a hybrid approach: a reusable handle/platform with disposable tips or cartridges. This is where the razor-and-blade model directly dictates mechanical architecture.
Work backwards from reimbursement
Before finalizing your design, determine:
What procedure will this device be used in?
What DRG or APC covers that procedure?
What does the hospital get paid?
What can the hospital afford to spend on your device within that payment?
This gives you your target selling price. From there, work backwards to your target cost of goods:
Disposables: COGS typically 20-30% of selling price
Capital equipment: Higher margins, but longer sales cycles
Build in data collection early
Even if your V1 prototype does not need connectivity, design the architecture to accommodate sensors and data transmission. Outcome data is increasingly required by payers and gives you optionality for SaaS or outcome-based models later.
Hospital purchasing: who you actually sell to
Group Purchasing Organizations (GPOs)
Over 95% of U.S. hospitals use GPOs (Vizient, Premier, HealthTrust, Intalere) to negotiate pricing. GPO contracts account for about 70% of a hospital's non-labor purchases.
If you are not on a GPO contract, most hospitals cannot easily buy your product. Getting on contract requires demonstrated clinical value, competitive pricing, and often existing market traction. This is a significant barrier for startups.
Value Analysis Committees (VACs)
The internal hospital gatekeepers. Cross-functional committees (12-24 members) including physicians, nurses, supply chain, administrators, and finance.
A surgeon loving your device is necessary but not sufficient. You must also convince the supply chain team, the finance team, and the nursing staff. Clinical evidence (peer-reviewed studies, real-world data) is essential; anecdotal physician endorsements alone will not pass a modern VAC.
The typical path from first contact to first purchase order: 6-18 months for disposables, potentially longer for capital equipment.
International market differences
If you plan to sell outside the U.S., payment systems work differently.
What to think about at the prototype stage
You do not need a full commercial strategy during a hackathon or early prototyping. But keeping these questions in mind leads to better design decisions:
Who is the user, who is the buyer, and who is the payer? If they are different people with different priorities, your design needs to satisfy all three.
Is this single-use or reusable? This affects materials, sterilization, manufacturing, and your entire revenue model.
What does the hospital get paid for the procedure? This caps what they can spend on your device.
Does a reimbursement code exist? If not, add 1-2 years (minimum) to your commercialization timeline.
Could this device generate data? Connectivity and data collection add cost to the prototype but open higher-value business models.
Related pages
FDA Regulatory Pathways: Classification, clearance, and marketing rules
Manufacturing Standards & Certifications: How standards affect production costs
Projects: Setting up your Protoboard project
BOM + Export: Exporting your bill of materials for sourcing
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