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Market Gap Analysis: Underserved Procedure Categories

Writer: David Rutson
David Rutson
Jul 31
3 min read

By David Rutson · 25+ years fiduciary tenant representation for independent physicians

Key Takeaways A market gap is a demand signal, not a verdict on any single practice — it describes what a geography's procedure mix shows relative to its peers. Retailers find category white space by reading SKU-level sales data; medical space decisions can read the equivalent through CPT, HCPCS, and DRG activity. A geography with high provider density in one procedure category and thin representation in an adjacent one is telling a location story worth reading before a lease commitment.

Some procedure categories show up everywhere in a market's billing data. Others barely show up at all. That contrast is a gap, and gaps are visible in market-level data long before they show up in a lease renewal conversation.

Retail category managers use this as one of their core disciplines: reading SKU-level sales data against regional demand trends to spot categories that are underrepresented relative to demand. It's one layer of a broader white space process — alongside consumer research and competitive mapping — but it's the layer with the clearest medical parallel. The CPT code is the SKU, and procedure volume across a drive-time geography is the demand signal. Where that volume clusters, and where it thins out, describes the market as clearly as any demographic map — arguably more clearly, since demographics don't distinguish between a market that needs primary care access and one saturated with it.

What Does a Procedure Category Gap Actually Show?

A gap is a relative measurement. It compares how often a procedure category appears in a geography's aggregate billing activity against how often it appears among the specialty's regional peers. A thin category isn't evidence that anyone is doing anything wrong — it's a description of market-level activity, full stop.

This is the bottom-up half of the hybrid model that drives serious site selection. Retailers pair unit-level sales data with macro category trends before locking a footprint. The medical parallel pairs CPT/HCPCS/DRG volume with regional migration patterns — outpatient shift, provider density, specialty-level demand — before a location decision gets made.

Where Does This Fit Before an LOI?

Cost-side numbers — rent per square foot, tenant improvement allowances, parking ratios — describe what a space costs. They say nothing about what the surrounding market's clinical activity actually supports. Reading procedure-category gaps alongside cost terms closes that blind spot.

Cost-Side Metric

Income-Side Indicator

Rent per square foot

Procedure category volume by CPT/HCPCS grouping

TI allowance

ICD-10 diagnosis pattern density

Parking ratio

Provider density by specialty within drive-time

Comparable lease rates

Peer percentile rank on category adoption

Parking still sets a hard floor. Five spaces per 1,000 square feet is the standard medical parking requirement, and an under-parked building remains a core site-selection factor no matter what the income-side data shows — the two lenses work together, not as substitutes.

Two buildings can carry identical asking rents and post entirely different category gap profiles. Same corridor, same square footage — different market to underwrite.

How Does the Retailer Framework Extend to Adjacent Categories?

A market can show strong volume in one procedure category and almost none in an adjacent, clinically related one. That pattern is common enough to be worth reading rather than assuming. It's the medical equivalent of a retail category with strong regional sales in one product line and empty shelf space next to it — the kind of signal a hybrid site-selection model is built to catch.

This builds on the SKU framework covered in an earlier post on CPT codes as the medical equivalent of a retail SKU, and connects back to the income-side foundation laid out when MedREcalc first covered market income trends.

None of this replaces the macro layer. A thin category in a fast-growing outpatient corridor reads differently than the same gap in a market with flat provider density. Both layers — bottom-up procedure volume and top-down regional trend — belong in the same view, which is the whole premise of the interactive data models at MedicalRealEstateCalculator.com.

Reports are available for any specialty, in any U.S. market, starting at $499. The data shows what the market is doing. Your report is customized to your direction — because no one knows what your practice needs better than you.

 
 
 

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