Medicaid Service TAM Analysis by CPT, HCPCS, Modifier, and Revenue Code

Client question

A client wanted to understand the total addressable market for a service that is primarily covered by Medicaid/CHIP. The client needed a claims-based estimate of how often the service was used, how many patients received it, and how utilization varied by state and year.

Data foundation

FastHSR analyzed five years of Medicaid/CHIP claims. The service was identified using a combination of CPT codes, HCPCS codes, modifiers, and revenue center codes because no single field fully captured the service across states, settings, and billing patterns.

• Time period: five years of Medicaid/CHIP claims.
• Service identifiers: CPT codes, HCPCS codes, modifiers, and revenue center codes.
• Geography: state-level output for states with reliable claims data.
• Aggregation: code, state, and year.
• Patient logic: unique patient counts and patient-month measures built before aggregation.

Service-code definition

The first step was to translate the client's service definition into claims logic. FastHSR reviewed the relevant procedure codes, modifiers, and revenue center codes, then created a reproducible code-based algorithm for identifying service claims.

• Include claims with qualifying CPT or HCPCS procedure codes.
• Use modifiers to distinguish service variants, delivery settings, or billing arrangements where relevant.
• Use revenue center codes to capture facility or institutional billing patterns not visible from procedure codes alone.
• Flag claims meeting one or more service-definition criteria.
• Apply state-specific review where billing patterns differed materially across Medicaid/CHIP programs.

Metric construction

FastHSR produced a state-year-code analytic table with patient, claim, and service quantity measures. The output was designed to support both detailed code-level review and high-level TAM rollups.

• N_PT_MON: patient-months associated with eligible beneficiaries or service users.
• N_CLAIMS: number of Medicaid/CHIP claims meeting the service definition.
• TOTAL_SRVC_QTY: total reported service quantity across qualifying claims.
• N_unique_PT: number of unique Medicaid/CHIP patients receiving the service.
• Code-level cuts: metrics by CPT/HCPCS, modifier, revenue center code, state, and year.

TAM rollup

After building code-level tables, FastHSR rolled utilization into market-size views. This allowed the client to compare service volume across states, identify growth markets, understand year-over-year trends, and separate high-volume code combinations from low-frequency billing patterns.

• Annual national and state-level service utilization.
• Unique patient counts by state and year.
• Service quantity per patient and per patient-month.
• Code-mix summaries showing which billing patterns drove volume.
• Trend files showing growth, contraction, or stability over five years.

Quality checks

Medicaid/CHIP service TAM analysis requires careful validation because billing rules and data completeness can vary by state. FastHSR applied checks before producing final market-size tables.

• Check claims and service quantity distributions by state and year.
• Review code and modifier combinations for implausible or low-confidence matches.
• Compare institutional and professional claim patterns where both were relevant.
• Identify states or years where data quality limited interpretation.
• Validate that unique patient counts were not double counted across code combinations.

Findings

The analysis gave the client a state-by-year view of Medicaid/CHIP utilization for the target service, including how many patients received the service, how many claims were submitted, and how service quantity varied across code combinations.

The final output supported TAM estimation, state prioritization, product planning, and commercial strategy while preserving enough code-level detail to explain how the market-size estimates were built.

Deliverables

• Five-year Medicaid/CHIP claims analytic file for the target service.
• Code-level table by CPT/HCPCS, modifier, revenue center code, state, and year.
• N_PT_MON, N_CLAIMS, TOTAL_SRVC_QTY, and N_unique_PT metrics.
• State-year TAM rollups and trend summaries.
• Code-mix summaries showing key billing patterns.
• Documentation of service-definition logic, data quality checks, and state-level limitations.

Use cases

• Medicaid/CHIP total addressable market analysis.
• State prioritization for Medicaid/CHIP-covered services.
• Service-line utilization and trend analysis.
• Commercial strategy for Medicaid/CHIP-focused products or services.
• Claims-based validation of market-size assumptions.

Frequently asked questions

Why use Medicaid/CHIP claims for TAM?

For services primarily covered by Medicaid/CHIP, claims data provide a direct way to measure real utilization, patient counts, service quantities, and state-level variation.

Why combine CPT/HCPCS, modifiers, and revenue center codes?

Medicaid/CHIP services can be billed differently across states and settings. Combining procedure codes, modifiers, and revenue center codes improves capture of the service and helps explain variation in the estimates.

Can this be refreshed annually?

Yes. The same service-code algorithm can be applied to new Medicaid/CHIP claims years to refresh TAM estimates and monitor market changes.

For Medicaid/CHIP TAM analysis, Medicaid/CHIP claims utilization studies, service-code market sizing, or state-level claims strategy, please email us.

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