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Medicare and Commercial Claims Data: How to Use It to Close More Deals

November 12, 2025

Claims data—the billing and procedure information generated when healthcare providers submit claims to Medicare and commercial payers—represents one of the most underutilized assets in medical sales. For reps who know how to read it, this data reveals which physicians perform the most procedures, where market opportunity is concentrated, and how to prioritize every call. Yet many reps either lack access to it or don't know how to turn raw numbers into sales strategy. This guide breaks down what claims data is, what types are available, and how to use it to close more deals.

What Is Medicare and Commercial Claims Data?

Claims data is the transactional record of healthcare services rendered. When a physician performs a procedure, prescribes a medication, or sees a patient, they submit a claim to the payer—Medicare, Medicaid, or a commercial insurer—for reimbursement. That claim includes procedure codes (CPT codes), diagnosis codes (ICD codes), dates of service, provider identifiers, and often patient demographics. Aggregated and de-identified, this data becomes a powerful lens into physician behavior and market opportunity.

Medicare claims data covers services billed to Medicare Part A (hospital), Part B (physician and outpatient), and Part D (prescription drugs). Because Medicare serves a large, aging population, it often represents a significant share of procedure volume in many specialties—especially orthopedics, cardiology, and interventional procedures. Medicare data is publicly available in aggregated form through CMS (Centers for Medicare & Medicaid Services) datasets, though access to physician-level detail typically requires commercial data vendors.

Commercial claims data comes from private insurers—UnitedHealthcare, Anthem, Aetna, and others. It captures a younger, often employed population and tends to reflect different procedure mixes and utilization patterns than Medicare. Commercial data is typically available only through licensed data vendors who aggregate and de-identify it for analytics.

Together, Medicare and commercial claims provide a more complete picture of a physician's practice than either source alone.

Types of Data Available

Procedure Volumes

Procedure volume—how many times a physician performs a specific procedure in a given period—is the most direct indicator of opportunity. A rep selling a knee replacement implant wants to know which orthopedic surgeons are doing the most total knee arthroplasties. A rep promoting a cardiac device wants to identify interventional cardiologists with high stent volumes. Procedure volume answers the question: "Who does enough of this to matter?"

Volume data is typically reported at the physician level, often by NPI (National Provider Identifier), and can be broken down by procedure code, geography, and time period. Trends over time—growing, stable, or declining—add another dimension. A physician whose volume is increasing may be expanding their practice or gaining referrals; one whose volume is declining may be retiring, shifting focus, or losing market share.

CPT Codes and Billing Patterns

CPT (Current Procedural Terminology) codes are the standard language of medical billing. Each procedure has a code—e.g., 27447 for total knee arthroplasty, 92920 for percutaneous coronary intervention. Understanding which CPT codes align with your product is essential. A rep selling a specific implant needs to map that implant to the relevant procedure codes and then find physicians who bill those codes frequently.

Billing patterns go beyond volume. They can reveal:

  • Mix of procedures: Does the physician do mostly complex cases or routine ones? That affects product fit.
  • Setting: Hospital vs. ambulatory surgery center (ASC) billing can indicate practice structure and buying influence.
  • Coding accuracy: Patterns may suggest how sophisticated the practice is with documentation and reimbursement.

Market Opportunity and Share

Claims data can be aggregated to show total market size—how many procedures of a given type occur in a territory, region, or nationally. That establishes the denominator. Combined with your own sales data or share estimates, you can calculate penetration: What percentage of the addressable market have you captured? Where are the gaps?

This is especially valuable for territory planning (see our full guide, "The Complete Guide to Territory Mapping for Medical Device Sales"). A rep might assume their top accounts are their best opportunities, but claims data could reveal a high-volume physician they've under-called or a geographic pocket of unmet demand.

How Sales Reps Can Use Claims Data to Identify Top Performers

The primary use case for claims data in medical sales is physician prioritization. Not all HCPs are created equal. Some perform hundreds of relevant procedures per year; others perform a handful. Claims data lets you rank physicians by volume, growth, or opportunity score—and allocate your time accordingly.

Step 1: Define your target procedure. Map your product to the CPT codes that matter. If you sell a spinal implant, identify the fusion, decompression, or other codes that indicate a physician would use your device.

Step 2: Pull volume by physician. Use claims data to rank physicians in your territory by procedure volume. Focus on the top decile or quartile—these are your high-value targets.

Step 3: Layer in growth and context. Volume alone isn't enough. A physician with declining volume may be winding down. One with rising volume may be building a new program or gaining referrals. Combine volume with trend data and, if available, competitive share to build a true priority list.

Step 4: Cross-reference with relationship data. Claims data tells you who to call; CRM and call history tell you where you stand. A high-volume physician you've never met is a cold opportunity. A high-volume physician who's already an advocate is a relationship to protect and expand.

Practical Strategies for Using Claims Data in Sales Conversations

Claims data isn't just for internal planning—it can inform how you show up in the room.

Lead with relevance. When you know a physician performs 200 knee replacements per year, you can tailor your message to high-volume practice management: efficiency, outcomes at scale, and support for a busy OR schedule. When you know they're in an ASC setting, you can speak to site-of-care trends and reimbursement.

Quantify opportunity. Some physicians appreciate data. "You're doing X procedures per year in this category—here's how our solution has helped practices like yours improve Y." That kind of specificity signals you've done your homework and aren't giving a generic pitch.

Identify gaps. If claims data shows a physician performs Procedure A but not Procedure B—and your product supports B—you've found an expansion opportunity. "I noticed you're doing a lot of A; have you considered adding B for appropriate patients?"

Avoid over-reliance. Claims data is powerful but not perfect. It can lag, it may miss certain settings, and it doesn't capture nuance like patient selection or clinical preferences. Use it to prioritize and prepare—not to lecture the physician on their own practice. The goal is to start a conversation, not to sound like you're reading from a spreadsheet.

How RepPrep.ai Aggregates Claims Data for Reps

Manually accessing and analyzing claims data has traditionally required data vendor contracts, analytics expertise, and significant time. RepPrep.ai simplifies this by aggregating Medicare and commercial claims data into a format built for sales reps, refreshed on a monthly cycle and built on actual adjudicated claims rather than modeled projections (see how that distinction plays out in a real head-to-head benchmark in "AcuityMD vs RepPrep.ai"). The platform surfaces procedure volumes, CPT code alignment, and market opportunity at the territory and physician level—integrated with PubMed, Sunshine Act data, and CRM history.

Reps can see which HCPs in their territory have the highest relevant procedure volume, understand billing patterns and trends, and prioritize calls accordingly. The data feeds into pre-call planning — and into personalized talk tracks (see "Building Personalized Talk Tracks: The Secret to Medical Sales Success") — so that by the time a rep walks into an office, they already know the physician's volume, practice setting, and how their product fits. That level of preparation—backed by real claims data—is what separates reps who close deals from those who simply make calls.

Frequently Asked Questions

What's the difference between Medicare and commercial claims data?

Medicare claims data covers services billed to Medicare Part A, B, and D, and skews toward an older population — significant in orthopedics, cardiology, and interventional procedures. Commercial claims data comes from private insurers and captures a younger, typically employed population with different procedure mixes. Using both together gives a more complete view of a physician's practice.

How do I find which CPT codes apply to my product?

Start with your product's clinical indication and identify the procedures it's used in or supports. Your reimbursement or marketing team often maintains a mapped CPT code list; if not, cross-reference the procedure description against the CPT code set maintained by the American Medical Association.

Is physician-level claims data publicly available?

Some aggregated Medicare data is publicly available through CMS datasets, but physician-level detail — especially combined with commercial claims — typically requires a licensed data vendor or a platform like RepPrep.ai that aggregates and packages it for sales use.

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