Medicaid Claims Reimbursement Analysis Case Study: Pediatric Surgery DRGs

Client question

The client was evaluating the reimbursement landscape for a set of pediatric surgery procedures described in scientific literature. The central question was practical: which inpatient DRGs best captured these procedures, and what had Medicaid historically allowed and paid for pediatric discharges in those DRGs?

The analysis needed to support reimbursement strategy with claims-based evidence rather than relying only on published clinical descriptions, list charges, or single-state fee schedules.

Scope of work

• Procedure-to-DRG mapping: review client-provided literature and map each surgical procedure to relevant APR-DRG and/or MS-DRG assignments.
• Historical Medicaid payment analysis: summarize allowed and paid amounts for pediatric patients discharged under the identified DRGs.
• National scope: analyze Medicaid inpatient claims nationally for 2017-2023.
• State-level scope: produce state-level estimates where Medicaid inpatient data were reliable enough for interpretation.
• Patient cohort: pediatric patients age 18 or younger at discharge.
• Payment metrics: mean, median, 25th percentile, 75th percentile, and case counts for non-zero allowed and paid amounts.

Procedure-to-DRG mapping

FastHSR began by reviewing the procedures described in the client-provided scientific paper. For each procedure, we identified the relevant inpatient payment groupings needed for claims analysis. Depending on the clinical description and available claims fields, this included APR-DRG assignments, MS-DRG assignments, or both.

• Translate clinical procedure descriptions into claims-analysis definitions.
• Separate DRG concepts from diagnosis and procedure-code evidence where needed.
• Flag ambiguous mappings for review before payment summaries were finalized.
• Create a reusable procedure-to-DRG crosswalk for the reimbursement analysis.

Medicaid claims cohort

The payment analysis used Medicaid inpatient claims for pediatric discharges assigned to the mapped DRGs. The cohort included patients age 18 or younger, with summaries restricted to non-zero allowed and paid amounts so that reimbursement statistics reflected observed payment values rather than missing or zero-payment records.

The national analysis covered 2017-2023. State-level results were produced only for states with reliable inpatient data for the relevant DRGs and years, avoiding false precision where claims completeness or case counts were not strong enough.

Payment metrics

For each mapped DRG, FastHSR summarized both allowed amounts and paid amounts. Allowed amounts helped describe the reimbursed value recognized on the claim, while paid amounts reflected actual payment observed in Medicaid claims.

• Mean: average non-zero allowed or paid amount.
• Median: midpoint claim-level payment value.
• 25th percentile: lower-quartile payment benchmark.
• 75th percentile: upper-quartile payment benchmark.
• Case counts: number of qualifying pediatric inpatient claims used in each summary.

Current rate calculation

Historical claims are useful, but reimbursement decisions often require a current-rate view. FastHSR used curated datasets from numerous sources to calculate current Medicaid fee-for-service (FFS) rates and Medicaid managed care rates for the mapped pediatric surgery DRGs.

This gave the client both a historical Medicaid payment distribution and current reimbursement reference points for each pediatric surgery DRG across Medicaid FFS and Medicaid managed care contexts.

Why this matters for Medicaid claims analytics

This case study shows how Medicaid claims data can turn a clinical literature question into a reimbursement strategy analysis. The work required clinical interpretation, DRG mapping, pediatric cohort construction, inpatient claims filtering, payment measurement, state reliability review, and current-rate estimation.

The same approach can support reimbursement strategy, market access, pediatric device and procedure evaluation, hospital payment benchmarking, Medicaid policy analysis, and diligence for services or technologies used in inpatient pediatric care.

Deliverables

• Procedure-to-APR-DRG and/or procedure-to-MS-DRG mapping table.
• National Medicaid payment summary for 2017-2023 pediatric inpatient claims.
• State-level Medicaid payment summaries where inpatient data were reliable.
• Allowed amount and paid amount benchmarks: mean, median, 25th percentile, and 75th percentile.
• Case counts by DRG, geography, and measurement period.
• Current Medicaid reimbursement-rate estimates for the relevant DRGs.

Frequently asked questions

How can Medicaid claims data support pediatric surgery reimbursement analysis?

Medicaid claims can identify pediatric inpatient discharges, DRG assignments, allowed amounts, paid amounts, discharge years, state patterns, and case counts for the procedures and DRGs relevant to a reimbursement question.

What is procedure-to-DRG mapping?

Procedure-to-DRG mapping reviews the clinical procedures described in literature or client materials and maps them to relevant APR-DRG and MS-DRG assignments for claims-based payment analysis.

What Medicaid payment metrics did FastHSR summarize?

FastHSR summarized non-zero allowed and paid amounts using mean, median, 25th percentile, 75th percentile, and case counts for pediatric patients age 18 or younger.

Why analyze both national and state-level Medicaid payments?

National summaries show the overall reimbursement landscape, while state-level summaries identify variation in Medicaid inpatient payment patterns where state data are reliable enough for interpretation.

For Medicaid claims reimbursement analysis, pediatric surgery payment benchmarking, DRG mapping, or Medicaid inpatient claims analytics, please email us.

See more case studies