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Review pricing intelligence surfaces

This page keeps the pricing family in one place: fee drift, RVU-rate divergence, OPPS payment bands, and CLFS variance atlas. Use these as planning context before local validation.

PFS codes: 9,679 OPPS APC bands: 902 CLFS families: 25

Source snapshot: cms.pfs.2026@2026-03-31T18:58:47.492Z · Schema: intelligence.pricing.fee-drift.v1

O1 · CPT Fee Drift Heatmap

Compare facility versus non-facility PFS baselines to spot where site-of-service assumptions can distort reviews.

Observed support Coverage 100.00% Join success 100.00%

PFS fee schedule rows meet full support thresholds for this view.

Support: 19,277 of 19,277 entities met support thresholds.

Snapshot cms.pfs.2026@2026-03-31T18:58:47.492Z · Schema intelligence.pricing.fee-drift.v1 · Generated 4/6/2026

Relative drift between national facility and non-facility PFS rates.

  • Required fields present: facility RVU, non-facility RVU, conversion factor
  • National fee schedule coverage available for all included codes
  • Medicare PFS context only; not commercial contract adjudication.
  • Rate drift does not explain local payer policy or documentation quality.

Select a code to keep the chart in place while the review panel updates. The URL saves the selection so you can share the same comparison state.

Compare two measures

Select a row to keep the chart in view while details update.

Horizontal bar chart comparing Facility rate and Non-facility rate across 12 categories.
  • 12 categories compared across Facility rate and Non-facility rate.
  • 37294 has the highest facility rate at 813.98.
  • 37277 has the highest non-facility rate at 15,420.86.
Facility rate and Non-facility rate comparison table
CategoryFacility rateNon-facility rate
37277681.7115,420.86
37294813.9815,198.75
27278439.2213,754.82
37273576.1713,228.43
37269674.711,553.37
37271411.510,562.7
37275501.3510,275.79
37286618.9210,365.97
55882527.739,636.16
55881429.549,270.42
36837400.819,092.73
36836313.638,032.92

Top code by absolute drift: 0446T (12860.27%).

O2 · RVU-to-Rate Divergence

Detect codes where RVU intensity and non-facility reimbursement deviate from the median relationship.

Observed support Coverage 100.00% Join success 100.00%

Work RVU and non-facility rate relationship is complete for the supported code universe.

Support: 19,277 of 19,277 entities met support thresholds.

Snapshot cms.pfs.2026@2026-03-31T18:58:47.492Z · Schema intelligence.pricing.rvu-rate-divergence.v1 · Generated 4/6/2026

Codes where work RVU intensity and national non-facility rates diverge from the median relationship.

  • Work RVU and non-facility rate must both be present
  • Expected-rate baseline uses complete observed code set
  • Uses national PFS context and does not represent local payer fee schedules.
  • Divergence is a planning signal, not an adjudication or compliance determination.

Distribution + intensity

Bubble size represents weighted context volume.

Bubble chart plotting Work RVU against Non-facility rate ($) for 40 points. Bubble size represents weighted context volume.
  • 40 bubble points shown.
  • 37277 has the highest work rvu at 15.
  • 37277 has the highest non-facility rate ($) at 15,420.86.
Work RVU and Non-facility rate ($) bubble chart table
LabelWork RVUNon-facility rate ($)Bubble size
0446T1.116,320.121,397.653
0448T1.866,219.58813.937
332851.494,012.12652.188
951490.06118.57474.22
G20830.71,356.08464.54
272787.6613,754.82429.372
524433.625,904.28388.472
657780.821,274.24369.33
951480.0689.18352.535
365161.522,227.84347.403
G20820.7952.59321.363
558742.953,704.49295.26
755800.73886.79285.082
755770.851,012.05279.085
37271910,562.7274.86
3727944,636.04271.228
368367.028,032.92267.572
3726233,409.23265.613
192963.543,993.41263.545
911110.88956.94253.447
3727312.6313,228.43243.498
951460.0662.46241.913
372771515,420.86238.698
964250.17174.02237.602
538653.023,086.58237.205
976100.39397.47236.488
368379.079,092.73232.352
951470.0660.12232.233
3728754,940.33228.765
304692.382,322.7225.75
558819.569,270.42224.205
911320.51485.65219.87
G01380.21196.4215.64
372751110,275.79215.377
976070.4367.41211.492
312422.632,395.51209.583
453462.742,492.38209.282
372683.733,360.13207.098
522843.022,682.76203.992
312432.632,326.04203.022

Review emphasis uses p90 divergence threshold (167.57%).

O3 · Global Surgery Mix View

Split procedural mix by global-period band and compare routine versus higher-complexity concentration.

Derived support Coverage 43.43% Join success 43.43%

Global-period coverage is strong enough for planning context but not complete enough for observed classification.

Support: 8,372 of 19,277 entities met support thresholds.

Snapshot cms.pfs.2026@2026-03-31T18:58:47.492Z · Schema intelligence.pricing.global-surgery-mix.v1 · Generated 4/6/2026

Distribution of PFS code mix across global-period bands with a complexity split.

  • Required fields: globalDays, workRVU, nonFacility RVU, conversionFactor
  • Observed threshold: >= 85% support coverage
  • Uses Medicare global-period indicators and national rates only.
  • Does not include local payer modifiers or claim-level adjudication context.

Composition by category

Stacked horizontal bar chart showing Higher complexity cohort and Routine cohort by category.
  • 7 categories shown with stacked values for Higher complexity cohort and Routine cohort.
  • 90-day major has the highest combined total at 3,761.
Higher complexity cohort and Routine cohort stacked share table
CategoryHigher complexity cohortRoutine cohortTotal
90-day major3,5282333,761
No global/bundled652,2512,316
0-day procedural3788791,257
Related service window110445555
10-day minor98367465
Maternity global14317
Carrier-defined global101

Surgical codes tracked: 4,226 · Major-surgery band: 3,761.

O4 · Modifier Sensitivity Matrix

Use status-code groupings as a deterministic proxy for where modifier-sensitive review queues concentrate.

Derived support Coverage 50.21% Join success 50.21%

Modifier sensitivity proxy has enough support for planning context but remains incomplete for observed classification.

Support: 9,679 of 19,277 entities met support thresholds.

Snapshot cms.pfs.2026@2026-03-31T18:58:47.492Z · Schema intelligence.pricing.modifier-sensitivity-proxy.v1 · Generated 4/6/2026

Status-code group sensitivity proxy based on facility/non-facility drift concentration.

  • Required fields: facility RVU, nonFacility RVU, conversionFactor
  • Observed threshold: >= 85% support coverage
  • This is a derived proxy and does not directly measure modifier-field behavior.
  • Use for planning sequence only; validate with local modifier audits before conclusions.

Composition by category

Stacked horizontal bar chart showing Review-priority proxy and Baseline proxy by category.
  • 7 categories shown with stacked values for Review-priority proxy and Baseline proxy.
  • A has the highest combined total at 9,409.
Review-priority proxy and Baseline proxy stacked share table
CategoryReview-priority proxyBaseline proxyTotal
A9358,4749,409
R1589104
N124557
B33538
X21214
T178
I04949

Review threshold (p90 absolute drift): 88.48%.

O5 · OPPS APC Payment Bands

Group outpatient rates by APC to locate high-density payment bands before deep code-level review.

Observed support Coverage 100.00% Join success 100.00%

OPPS APC grouping coverage is complete for active payment-rate rows.

Support: 18,986 of 18,986 entities met support thresholds.

Snapshot cms.opps.2026@2026-03-31T18:58:47.678Z · Schema intelligence.pricing.opps-apc-bands.v1 · Generated 4/6/2026

APC-level OPPS payment bands derived from grouped national outpatient rates.

  • APC and payment-rate fields must be present
  • Status-indicator coverage required for grouped output
  • National OPPS rates only; local contract terms and payer edits are not included.
  • Banding is for prioritization, not claim-level payment prediction.

Compare two measures

Horizontal bar chart comparing Median payment and P90 payment across 12 categories.
  • 12 categories compared across Median payment and P90 payment.
  • 0845 has the highest median payment at 4,505,000.
  • 0845 has the highest p90 payment at 4,505,000.
Median payment and P90 payment comparison table
CategoryMedian paymentP90 payment
08454,505,0004,505,000
91383,685,266.673,685,266.67
09083,335,8203,335,820
07143,327,859.733,327,859.73
07483,252,508.083,252,508.08
09063,180,0003,180,000
07462,939,968.892,939,968.89
91412,588,981.232,588,981.23
08242,332,0002,332,000
2067770,620770,620
9498587,649.57587,649.57
9194566,531.3566,531.3

O6 · CLFS Variance Atlas

Compare rate concentration across CLFS families and identify where gap-fill behavior concentrates.

Observed support Coverage 100.00% Join success 100.00%

CLFS family grouping and national-limit comparisons meet observed support thresholds.

Support: 2,038 of 2,038 entities met support thresholds.

Snapshot cms.clfs.2026q1@2026-03-31T18:58:47.750Z · Schema intelligence.pricing.clfs-variance-atlas.v1 · Generated 4/6/2026

CLFS code-family concentration and rate variance against national limit references.

  • Rate and national-limit values required for each included code
  • Family-level grouping must meet minimum row support
  • National CLFS context only; regional lab contracts and local utilization mix are out of scope.
  • Family-level variance is descriptive and not a coverage determination.

Distribution + intensity

Bubble size represents weighted context volume.

Bubble chart plotting Median family rate ($) against Average variance (%) for 25 points. Bubble size represents weighted context volume.
  • 25 bubble points shown.
  • 03 has the highest median family rate ($) at 797.45.
  • 81 has the highest average variance (%) at 0.
Median family rate ($) and Average variance (%) bubble chart table
LabelMedian family rate ($)Average variance (%)Bubble size
81255.05026.333
8722.75019.917
8614.05018.583
8215.45014.75
8413.72010.667
8316.6708.833
859.7208
0272008
0476007.833
00450.9107.667
8018.6407.5
03797.4507
05473.9106.667
01356.1306.5
8827.6405
G026.4905
898.6105
P24.9505
Q09.7405
7811.0605
P99.3405
U035.9205
369.3405
G9120.7205
P318.5405

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Boundary

Relative drift between national facility and non-facility PFS rates.

Helps teams spot where site-of-service assumptions can distort baseline comparisons.

  • Medicare PFS context only; not commercial contract adjudication.
  • Rate drift does not explain local payer policy or documentation quality.