Revenue Cycle Management

Revenue Cycle Management in Healthcare Explained

Denial rates hit 11.81% in 2024, mostly from preventable intake and authorization errors.

Altair Health

Key points

  • Seven stages, and the earliest failures cost the most: eligibility, prior authorization, submission, adjudication, denial work, patient collections, payment posting.
  • Payer mix drives a practice's denial rate more than most benchmarking admits. KFF found marketplace insurers ranging from 8% to 25% on in-network claims in 2024.
  • The 835 is where the cycle closes and the next one gets its data. Posted by hand or in batches, that information arrives after the correction window has been running.
  • Underpayments stay invisible on any report that tracks only paid against denied, which is why net collection rate matters.

Revenue cycle management is every administrative and financial step between a scheduled patient and a deposited payment. Eligibility, prior authorization, documentation, coding, submission, adjudication, denial work, patient collections, cash posting.

Most practices treat billing as a back-office chore that starts after the clinical work ends. The expensive failures happen before the patient arrives.

The dollar consequences of a broken cycle

Initial claim denials reached 11.81% of claims in 2024, per Kodiak Solutions data covering more than 2,100 hospitals and 300,000 physicians.

Most of that is not payers disputing medicine. It is claims that went out wrong.

Stage one: eligibility verification, and what goes wrong before the visit

A complete check confirms active coverage on the date of service, the scope of what is covered, the patient's financial responsibility, and the network status of the rendering provider.

Confirming that a patient has insurance answers none of those four.

Experian Health's 2025 State of Claims survey found that 26% of providers trace at least one in ten denials to intake errors: wrong policy numbers, expired cards, eligibility never rechecked. The same survey found 41% of providers now facing denial rates of 10% or higher, and 68% saying clean claims are harder to submit than a year ago.

Stage two: prior authorization and the hours it consumes

The AMA's 2024 Prior Authorization Physician Survey found practices completing an average of 39 prior authorization requests per physician per week, consuming roughly 13 hours of physician and staff time.

On the payer side, Medicare Advantage insurers made nearly 53 million determinations in 2024 and denied 4.1 million, or 7.7%.

The mistake is treating authorization as a single event. It covers a procedure, a date range, and a rendering provider. Change one and the claim fails against an authorization that technically exists.

Stage three: submission, and what clean actually means

A clean claim is accepted on first pass with no correction and no appeal.

Getting there means checking the claim against the payer's current policies before it leaves. Eligibility that will adjudicate on the date of service. An authorization matching the billed procedure. Modifiers and diagnoses that support each other. No formatting or NPI errors.

Current is the operative constraint. Payers revise policy on their own schedule and give little useful notice, so a scrub built on last quarter's policies misses this quarter's denials.

Stage four: adjudication and the denial landscape

On the marketplace, KFF found HealthCare.gov insurers denied 19% of in-network claims in 2024 and 37% of out-of-network claims. Among large carriers, Oscar Health denied 25% and Elevance 8%.

A three-fold spread between insurers means payer mix is a bigger driver of a practice's denial rate than most benchmarking admits.

The denial reasons are moving as well. Kodiak's 2024 data shows authorization denials down 7.7%, medical necessity up 5%, and requests for more information up 5.4%.

Stage five: denial management and the cost of doing nothing

A denied claim is recoverable. An unworked denied claim is not.

The appeal evidence comes from prior authorization rather than claims, but the pattern is stark. Medicare Advantage insurers denied 4.1 million prior authorization requests in 2024, and only 11.5% of those prior authorization denials were appealed, with 80.7% of the appeals overturned, per KFF. KFF notes these are service determinations rather than payment decisions on care already given. Four in five challenged denials still failed to survive the challenge, and most were never challenged.

Commercial claims tell a similar story. A 2022 Premier survey of 516 hospitals found that 54.3% of private payer denials were eventually overturned, at an average of $43.84 per claim in appeal labor.

Four out of five challenged denials failed to survive the challenge. Most were never challenged.

Kodiak also notes payers ultimately pay roughly 90% of claims. That reads less like a coverage judgment and more like a delay mechanism. Our denial code reference covers what each CARC actually requires.

Stage six: patient collections and the receivables problem

After adjudication a balance remains: deductible, coinsurance, copay, non-covered services.

This is a second revenue cycle with its own failure mode. Statements go out, follow-up does not happen, balances age. The older a patient balance gets, the less of it comes back.

Doing it properly means fast statements and follow-up by text and email. Payment plans offered before a balance goes bad. Real pursuit of aged accounts rather than a scheduled write-off.

Stage seven: payment posting, which is more than bookkeeping

Posting is where the cycle closes and where the next one gets its data.

The 835 carries the adjudication record: what was paid, what was adjusted, what was denied, and the CARC and RARC explaining why. Posted by hand or in batches, that information arrives late and the correction window has been running the whole time.

Posting also surfaces underpayments, which stay invisible until someone compares the paid amount against the contracted rate. A claim paid below contract looks like a paid claim on every report that tracks only paid against denied.

The metrics that tell you whether it is working

Clean claim rate is the best single proxy for upstream quality, since it reflects eligibility accuracy, authorization tracking, and documentation at once.

Denial rate measures what got through and came back. Days in accounts receivable measures conversion speed. Net collection rate measures the share of collectible revenue actually collected, which is where write-offs and underpayments finally appear.

Benchmarks matter less than timing. A denial rate that improves two points still misses the mark if the specialty target sits well below where it landed. And a metric delivered after the appeal window closed is a record, not a warning.

Where AI fits, and what it cannot replace

Automation is well suited to volume: eligibility checks at scale, claims checked against current policies, denials classified the moment the 835 lands.

It runs into limits at the edges. Ambiguous plan language, a policy change the payer's own system has not propagated, a documentation judgment that needs reading rather than matching.

The useful arrangement pairs the two rather than choosing. Altair runs most of the cycle automatically, and Altair's own in-house billers own the exceptions. See what end-to-end revenue cycle management covers.

The four numbers that describe the cycle

MetricWhat it measuresWhere it goes wrong
Clean claim rateThe share of claims accepted on first pass with no correction and no appealEligibility accuracy, authorization tracking and documentation, all upstream of submission
Denial rateWhat got through the scrub and came backPayer mix, and a scrub built on last quarter's policies
Days in accounts receivableHow fast the practice converts work into cashRemittances posted late, and denials nobody sees in time
Net collection rateThe share of collectible revenue actually collectedWrite-offs, underpayments and abandoned denials, which stay invisible on the other three

Common questions

Which revenue cycle failures cost a practice the most?

The earliest ones. Most denials are not a payer disputing medicine, they are claims that went out wrong, and the expensive failures happen before the patient arrives. Eligibility nobody rechecked and an authorization that does not match what was billed both surface as denials weeks later, with the correction window already running.

Why does clean claim rate matter more than denial rate?

Because it measures everything upstream at once. Clean claim rate is the share of claims accepted on first pass with no correction and no appeal, so it reflects eligibility accuracy, authorization tracking and documentation together. Denial rate measures only what got through the scrub and came back, which is a narrower and later signal.

How high are claim denial rates?

Initial claim denials reached 11.81% of claims in 2024, per Kodiak Solutions data covering more than 2,100 hospitals and 300,000 physicians. Marketplace rates run higher and vary enormously by insurer: KFF found HealthCare.gov insurers denied 19% of in-network claims in 2024, with Oscar Health at 25% and Elevance at 8%.

Why do practices lose money on denials they could recover?

Because the denial is never worked. Medicare Advantage insurers denied 4.1 million prior authorization requests in 2024, and only 11.5% of those prior authorization denials were appealed, with 80.7% of the appeals overturned, per KFF. KFF notes these are service determinations rather than payment decisions on care already given. Four in five challenged denials failed to survive the challenge, and most were never challenged.

Why does an authorization that exists still fail the claim?

Because an authorization is not a single event. It covers a procedure, a date range, and a rendering provider. Change any one of the three and the claim fails against an authorization that technically exists.

Can AI run the whole revenue cycle?

Automation is well suited to volume: eligibility checks at scale, claims checked against current policies, denials classified the moment the 835 lands. It runs into limits at the edges, on ambiguous plan language and documentation judgment that needs reading rather than matching. Altair runs eligibility, authorization, submission, denial work and posting automatically, and Altair's own in-house billers own the exceptions.