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PracticeFlow

Revenue Cycle Benchmarking

Compare your practice KPIs against 80 synthetic peer cohort practices · Illustrative assumptions; not an industry benchmark

Your Practice Metrics
Days in A/R
36
Denial Rate %
5.8
Collection Rate %
94.2
Avg Reimb. ($)
295
No-Show Rate %
9.1
Days in A/R
36 days
Performance percentile
34th
23.7 days▲ You: 36 days43.5 days
Denial Rate
5.8%
Performance percentile
44th
3.5%▲ You: 5.8%7.4%
Collection Rate
94.2%
Performance percentile
30th
92.5%▲ You: 94.2%98.5%
Avg Reimbursement ($)
295
Performance percentile
54th
243.0▲ You: 295326.0
No-Show Rate
9.1%
Performance percentile
16th
5.0%▲ You: 9.1%10.9%
Peer Cohort Percentiles — Dermatology · Small (2-5)
Metric25th50th (Median)75thYour Valuevs Median
Days in A/R28.533.838.136▼ 2.2 worse
Denial Rate4.6%5.6%6.5%5.8%▼ 0.2 worse
Collection Rate94.1%95.0%96.9%94.2%▼ 0.8 below
Avg Reimbursement263.5293.5306.3295✓ 1.5 above
No-Show Rate6.4%7.6%8.5%9.1%▼ 1.5 worse
Days in A/R — 12-Month Trend
JulAugSepOctNovDecJanFebMarAprMayJun
Denial Rate — 12-Month Trend
JulAugSepOctNovDecJanFebMarAprMayJun
Days in A/R sensitivity exercise
Your A/R: 36 days · Calculated under assumptions: 35.4 days

Adjust payer mix and resubmission time to inspect a simplified arithmetic model. The assumed payment cycles and denial effect are illustrative; a difference from observed days in A/R does not identify its cause. Validate against claim-level payment dates before choosing an intervention.

Commercial Payer Mix
55%
~25-day cycle (clean)
Gov Payer Mix (Medicare + Medicaid)
30%
~32-day FFS cycle · patient-pay auto = 15%
Denial Resubmission Cycle (days)
14d
Scenario target: 7d
Components under the selected assumptions
13.8d
9.6d
9.8d
Commercial payer mix · 13.8d · 55% of revenue at ~25-day clean-claim cycle
Gov (Medicare/Medicaid) · 9.6d · 30% at ~32-day FFS cycle
Patient-pay aging · 9.8d · 15% at ~65-day self-pay aging
Denial cycle drag · 2.3d · 5.8% denial × (14d resubmission + 25d payment cycle)
Unexplained difference · 0.6d · Residual, not an identified operational cause
Largest modeled single change
Patient-pay collection program (~2.8d modeled change)

15% → 8% assumed patient-pay share; no collection outcome is established.

Other independent scenarios (do not sum): Reduce first-pass denial rate (~0.7d)

Data Note: The Dermatology cohort for practice size Small (2-5) is generated from hand-set assumptions. No MGMA, HFMA, or practice-level source dataset is connected or validated here. Adjust "Your Practice Metrics" sliders to see where a practice would rank against the peer cohort. Sensitivity inputs (commercial 25d, government 32d, patient 65d, resubmission target 7d) are hand-set assumptions. Single-change effects overlap and must not be summed as expected recoveries.