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Performance, KPIs, and Benchmarks

Net collection rate, denial rate, days in A/R, clean claim rate — what to expect, how MedPrecision Billing benchmarks against MGMA, HFMA, and AAPC industry standards.

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Net collection rate, denial rate, days in A/R, clean claim rate — what to expect, how MedPrecision Billing benchmarks against MGMA, HFMA, and AAPC industry standards.

  • What net collection rate should a practice expect with MedPrecision?
  • What denial rate should a healthy practice see?
  • What is days in A/R and what should the number be?
  • What clean claim rate is achievable with proper billing?

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What net collection rate should a practice expect with MedPrecision?

MedPrecision targets a net collection rate of 97 percent or higher within 90 to 120 days of full takeover, aligning with the MGMA 2024 DataDive top-quartile benchmark for ambulatory practices. Net collection rate is calculated per HFMA standard formula: (payments received minus refunds) divided by (charges minus contractual adjustments and approved write-offs). The 97 percent threshold separates well-run revenue cycles from those leaving money on the table; the MGMA 2024 median for all reporting practices is 94.6 percent, and bottom-quartile performance is 89 percent or lower. The 3 to 5 percentage point gap between median and top-quartile typically equals 30,000 to 60,000 dollars per provider per year for primary care and 50,000 to 120,000 dollars per provider per year for specialty care. Practices entering MedPrecision below the 90 percent threshold typically see 5 to 8 point improvement in the first 6 months.

What denial rate should a healthy practice see?

MedPrecision targets a first-pass denial rate below 5 percent, against the AAPC 2024 industry median of 9 to 11 percent and MGMA top-quartile of 4 percent or lower. Denial rate is calculated as denied claims divided by total claims submitted, measured on a 30-day rolling window. The most common denial reason codes (CARC) tracked include CO-16 (missing information), CO-97 (procedure not paid separately), CO-197 (precertification absent), CO-29 (timely filing), and CO-50 (non-covered service); these five codes account for over 60 percent of denials in MGMA 2024 specialty data. MedPrecision's denial-prevention workflow runs four upstream gates before submission: real-time eligibility verification via clearinghouse 270/271 transactions, prior authorization tracking against payer policy databases, NCCI edit checks against quarterly CMS NCCI Procedure-to-Procedure tables, and modifier validation against AMA CPT 2026 guidance. Denials that do occur trigger a 14-day appeal window with documented appeal letter templates per payer.

What is days in A/R and what should the number be?

Days in A/R measures how long a dollar of charges sits in accounts receivable before collection, calculated per HFMA formula: (total accounts receivable / average daily charge volume over the trailing 90 days). MGMA 2024 DataDive places the median for primary care at 28 days, specialty care at 32 days, and surgical specialties at 38 to 45 days. MedPrecision targets the MGMA top-quartile thresholds: 22 days for primary care, 26 days for medical specialties, and 32 days for surgical specialties. Days in A/R is the single most actionable KPI for cash flow because each day reduced equals one day of additional working capital. The percentage of A/R over 90 days is the partner metric: top-quartile is 8 percent or lower, median is 12 percent, and bottom-quartile is 22 percent or higher. MedPrecision reports both metrics monthly with trend lines and payer-level breakouts so the practice sees exactly where aging accumulates.

What clean claim rate is achievable with proper billing?

Clean claim rate measures the percentage of claims accepted by the payer on first submission without rejection, edit, or denial. MedPrecision targets 95 percent or higher, against the HFMA 2024 industry median of 88 percent and the MGMA top-quartile threshold of 95 percent. Clean claim rate is calculated as (accepted on first submission) divided by (total claims submitted), measured at the clearinghouse acceptance event before payer adjudication. The 7 percentage point gap between median and top-quartile compounds: every 1 percent improvement reduces rework labor by approximately 4 to 6 hours per 100 claims and accelerates payment by 5 to 9 days on average per HFMA timing studies. MedPrecision drives clean claim rate through pre-submission scrubbing against four edit sets: clearinghouse syntactic edits (837 X12 standard), payer-specific edits (LCD and NCD coverage), CMS NCCI edits, and AMA CPT modifier rules. Most rejections caught pre-submission resolve within 2 hours.

How does MedPrecision benchmark our performance against industry data?

MedPrecision benchmarks against three primary industry datasets in monthly reporting: MGMA 2024 DataDive Cost and Revenue (separating ambulatory primary care, medical specialty, and surgical specialty), HFMA MAP Keys (the 25-metric revenue cycle benchmark set), and AAPC's annual coding and denial benchmarks for specialty-specific accuracy. Each monthly KPI report shows the practice's current value, the MGMA median for the practice's specialty, the MGMA top-quartile threshold, and a trend line for the prior 12 months. Benchmarks are filtered by specialty and geography where data permits (MGMA reports separate Northeast, Midwest, South, and West medians for some metrics). Practices receive an annual deep-dive review against AMA CPT specialty benchmark data and CMS Physician Fee Schedule comparison showing reimbursement-per-RVU performance. This benchmark transparency lets the practice see exactly where they stand and where the next dollar of improvement lives.

How much additional revenue does a typical practice capture by switching to MedPrecision?

AAPC and HFMA benchmarking data shows a typical practice transitioning from a generalist biller to a specialty-aligned RCM service captures 4 to 8 percent additional revenue within the first 6 months, with the median lift around 6 percent. The lift breaks down across four sources per the HFMA 2024 RCM Performance Study: coding accuracy gains (1 to 3 percent, often from underutilized E/M levels and missed modifiers), charge capture improvements (1 to 2 percent, from procedures completed but not billed), denial recovery (1 to 2 percent, from systematic appeal of recoverable denials), and underpayment recovery (0.5 to 1 percent, from contracted-rate enforcement against payer payments). For a 5-provider primary care practice billing 4 million dollars annually, a 6 percent lift equals 240,000 dollars per year in additional collections. The lift typically more than offsets the percentage-of-collections fee, producing net positive ROI within the first 90 days post-cutover.

№ 99 The Closing Argument

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