Claim denials: what they are and how to prevent them

A claim denial is the full or partial refusal by a health plan to pay a healthcare provider. It happens when the payer finds inconsistencies, nonconformities or a lack of clinical justification in the claim submitted, measured against the signed contract, the rules of the ANS (Brazil’s National Supplementary Health Agency) or the clinical evidence of the care provided.

In practice, a denial is revenue the hospital produced and did not receive. Each denied procedure represents a service delivered, a professional assigned and a material consumed, with no corresponding financial return.

The problem is bigger than it looks in monthly reports. According to the Anahp Observatory 2025, the accepted denial rate among Brazilian private hospitals reached 1.96% of gross revenue from health plans in 2024, almost double the rate recorded in 2021. This rate represents the denials the hospital lost for good, after exhausting its appeals. The total volume of denials received before any appeal tends to be even higher. About 97% of Brazilian healthcare institutions suffer some type of denial from health plans.

These numbers have a cause. Denials do not happen by chance: they are the result of process failures, documentation gaps and a mismatch between what the hospital does and what it can prove. Understanding how they originate is the first step to preventing them.

Types of hospital claim denials

Denials come in different forms, with specific causes and consequences. Knowing the distinctions between them helps direct prevention efforts to where the risk is greatest.

Administrative denial

The most frequent and, in general, the most preventable. It stems from errors filling out forms, missing required signatures or stamps, inconsistent registration data or charges for items outside the contract. Most originate in poorly defined internal processes and give way to standardization and technology.

In practice, an administrative denial can arise from seemingly simple situations: a required field on the TISS form left blank, a member card number typed incorrectly, an authorization requested after the deadline or a procedure billed with an outdated code. The detail that seems irrelevant at the time of recording turns into a refusal at the time of billing.

The good news is that this type of denial responds well to automation. Automatic form validation tools identify incomplete fields, registration inconsistencies and items outside the contract before submission, eliminating the cause at the source.

Technical denial

It requires deeper analysis. The payer questions the clinical appropriateness of the procedure: whether the diagnosis justifies the course of action, whether the materials used are covered by the contract, whether the medical record proves the need for the treatment. This type requires complete clinical documentation and, often, a well-grounded appeal to be reversed.

A recurring example: the patient undergoes surgery using a special material not standardized by the payer. The material was clinically necessary, but the medical record does not document the technical justification for its use.

The payer denies the item for lack of clinical evidence, even if the procedure was technically correct. The same reasoning applies to medication dosage errors: inconsistencies between the recorded prescription and what was actually administered can raise questions about whether the treatment was appropriate.

In these cases, prevention depends on two combined factors: detailed clinical records during care and the team’s knowledge of which materials and procedures require prior justification for each payer.

Linear denial

Applied automatically by payers’ systems, based on limits set in the contract. It does not involve case-by-case analysis and therefore tends to be harder to dispute. The main prevention strategy is precise knowledge of each health plan’s caps and packages before billing.

Linear denials are especially common in long hospital stays and high-complexity procedures, where contractual limits are reached more often. A patient hospitalized for more days than the contractual cap allows for that clinical condition will have the excess daily rates denied automatically, regardless of the medical justification.

The challenge is that many managers only discover the limit once the denial has already been applied. The solution is to anticipate: monitor length-of-stay indicators in real time and cross-check care data against each contract’s limits during the hospital stay, not after discharge.

Main causes of claim denials

Denials are symptoms. What generates them, in most cases, are failures that occur before billing, within the hospital’s own operation. Knowing the main causes of claim denials is the starting point for prevention.

Documentation and recording failures

Incomplete medical records, forms filled out with errors, missing clinical justification: every documentation gap opens the door to a refusal by the payer. Documentation needs to prove not only what was done, but why it was done.

The challenge is greater in high-volume hospitals, where operational pressure leads professionals to record the bare minimum during care and leave the rest to fill in later. That “later” often never comes, and the claim reaches the payer with gaps that turn into technical or administrative denials.

Digitizing the medical record helps, but it does not solve the problem on its own. The electronic medical record reduces illegibility and makes information easier to access, but it does not guarantee that the right fields were filled in with the level of detail the payer requires. This gap is where artificial intelligence has the greatest impact: reading the medical record, identifying what is missing and flagging it to the team before the claim is closed.

Lack of knowledge of contractual rules

Each payer has its own price tables, coverage and authorization requirements. When the billing team does not know these specifics, it bills items outside the contract or fails to meet formal requirements the payer considers mandatory.

The challenge multiplies when the hospital serves dozens of different payers, each with its own rules, deadlines and submission formats. Keeping that knowledge up to date manually is unfeasible at scale.

Each payer’s denial code table is an essential tool in this process, but it needs to be monitored and updated continuously. Another critical point is denial code 1714, one of the most frequent refusal codes in the industry, associated with inconsistencies in filling out TISS forms. Knowing each payer’s most recurrent denial codes and understanding what each one signals is a direct competitive advantage in billing.

Internal processes without standardization

Communication failures between the front desk, nursing, the medical staff and billing create gaps that pile up until the claim is submitted. Without careful auditing, the errors reach the payer before they are corrected.

In hospitals without standardization, the same procedure can be recorded in different ways by different professionals on different shifts. This internal inconsistency translates into external inconsistency: the claim that reaches the payer does not tell a coherent clinical story, and the payer’s auditor has grounds to question it.

Standardizing processes is essential to protecting revenue.

Incorrect coding

Misuse of the TUSS (Unified Terminology for Supplementary Health) for procedures or of the International Classification of Diseases (ICD) for diagnoses creates incompatibilities that the payer interprets as inconsistency. A wrong code turns an eligible procedure into a technical denial.

Coding errors are more frequent than they seem. The TUSS table is extensive and is updated periodically. An outdated code, a swapped digit or a wrong subcategory is enough for the payer’s system to reject the item automatically. In high-complexity procedures, where multiple codes need to be combined correctly, the risk of error multiplies.

Missing clinical justification

For more complex procedures, special materials or long hospital stays, the payer requires documented evidence of medical necessity. Without these records in the medical record, the claim reaches the audit without enough clinical support.

The clinical justification needs to be specific. Phrases such as “patient requires hospitalization” or “procedure clinically indicated” do not hold up a claim under audit. What the payer looks for is the direct correlation between the diagnosis, the course of action taken and the resources used, with a record dated and signed by the professional in charge.

The impact of claim denials on hospital management

The impact of a denial goes beyond the amount refused. It unfolds across three dimensions that affect the operation in different ways.

Direct financial impact

Every denial reduces the period’s revenue and extends the average time to payment. According to the Anahp Observatory 2025, the average time to payment for private hospitals was 68.56 days in 2024. Denials not reversed within the appeal deadline become permanent losses, undermining cash flow and the ability to meet operating commitments.

The accepted denial rate grew from 0.78% in 2021 to 1.96% of gross revenue from health plans in 2024. In a hospital with gross revenue from health plans of R$ 50 million a year, this rate represents almost R$ 1 million in revenue lost annually, from accepted denials alone, not counting those still under appeal.

Source: Anahp Observatory 2025

Beyond the direct loss of revenue, denials undermine financial predictability. When the manager does not know what percentage of billing will be denied in a given period, the budget becomes an imprecise estimate. Decisions on hiring, equipment purchases and expansion rest on projections that may not materialize.

Operational and team impact

Every denial received generates rework: analyzing the reason, gathering documentation, preparing the appeal, resubmitting within the deadline. This cycle consumes hours of qualified professionals who could be dedicated to prevention. The higher the volume of denials, the greater the invisible operating cost the institution carries.

In hospitals with manual processes, the average time to dispute a denial can reach 5 or 6 hours per case. With automation, that time drops to about 30 minutes. A team that spends less time on each appeal can process more denials within the deadline, recovering more revenue.

There is also a human impact that rarely appears in reports. Billing and audit professionals who deal with a high volume of denials and appeals tend to accumulate a growing operational workload, with less room for strategic analysis. This imbalance increases the risk of additional errors, contributes to team demotivation and raises turnover in departments that hold critical knowledge of the operation.

Strategic impact

Unpredictable revenue makes long-term financial planning difficult. Without reliable projections, decisions to invest in technology, infrastructure and training are held back. An institution that lives with a high denial rate operates in reactive mode, with no room to grow.

There is also the impact on the relationship with payers. A billing history with a high rate of inconsistencies signals weakness in the institution’s internal processes and can jeopardize price table adjustment negotiations and contract renewals. Trust built over years of relationship can be eroded by a persistent pattern of billing errors.

How to prevent claim denials: processes, people and technology

Preventing denials does not depend on a single measure. It requires alignment across three fronts that need to work in an integrated way. For an in-depth look at the strategies available, see the article How to reduce claim denials: strategies for hospitals and clinics.

Well-defined processes

The foundation of prevention is standardization. Clear protocols for each stage of care, from admission to discharge, reduce the margin for recording and documentation errors.

The workflow needs to cover at least four critical points: checking eligibility and coverage at admission; detailed clinical recording during care; reviewing the items entered before the claim is closed; and a prior internal audit before submission to the payer.

The prior internal audit is the most efficient stage of the cycle: correcting an error before billing costs a fraction of the effort needed to reverse a denial that has already been applied. Hospitals that implement this stage systematically drastically reduce the volume of denials received, without relying exclusively on technology.

Another point of attention is authorization management. Procedures that require the payer’s prior authorization need a dedicated workflow, with deadline control and a record of approvals. An expired or missing authorization is one of the most frequent causes of administrative denials and, at the same time, one of the simplest to prevent with a well‑structured process.

Keeping an active communication channel with payers also makes a difference. Regular meetings to clear up questions about contractual rules, alignment on price table changes and proactive management of discrepancies reduce friction in the billing process and help resolve deadlocks before they turn into denials.

Trained people

The billing and audit team needs to know each payer’s contractual rules: coverage, value limits, authorization requirements and submission formats. Regular training and easy access to each health plan’s updated price tables reduce errors caused by lack of knowledge, which are among the most recurrent causes of administrative denials.

Training needs to be continuous. Payers’ rules change, price tables are updated and new codes are added. A team trained two years ago may be working with outdated knowledge without realizing it. Regular alignment between the billing team and the contract managers at each payer is a practice that quickly pays for itself in fewer denials.

Beyond technical knowledge, a documentation culture needs to be cultivated among the medical staff. Physicians and nurses who understand the financial impact of an incomplete medical record tend to record more carefully.

Internal education programs that connect clinical recording to the institution’s financial results have a direct effect on documentation quality.

Technology and artificial intelligence

A complete electronic medical record, an integrated hospital management system and automatic claim validation tools are the minimum infrastructure to operate with a low denial rate. The electronic medical record reduces illegibility, standardizes records and makes clinical information easier for the whole team to access.

An integrated hospital management system ensures that information flows consistently between departments, eliminating transcription errors and duplicate data.

Artificial intelligence goes further. It reads free-text medical records, cross-checks clinical data against billing rules, detects items that were not entered, identifies inconsistencies before submission and generates denial appeals grounded in clinical and contractual evidence. What used to take hours of human analysis is done in seconds, covering 100% of claims, with no sampling.

The ANS’s new Denial Dashboard brought more transparency to payers’ behavior, allowing hospitals to monitor denial rates by payer and use this data as a reference in contract negotiations and in prioritizing prevention efforts.

To understand how AI works at each stage of the audit, see the article AI use cases in medical auditing.

How to manage denial appeals

Even with active prevention, some denials will occur. What separates institutions that recover this revenue from those that lose it is the quality of the appeal process. For a complete view of the topic, see the article Denial appeals: how to control and recover amounts.

Analysis and prioritization

The first step is to analyze each denial received individually: identify the exact reason for the refusal, whether it is administrative, technical or linear, and assess whether it is worth disputing. Prioritizing the cases most likely to be reversed is a strategic decision.

Administrative denials with documentation available to supplement them have a high reversal rate and should be prioritized.

Technical denials require more effort to substantiate, but they also involve larger amounts and justify the investment.

Linear denials, because they are automatic, tend to have a lower reversal rate and need to be analyzed case by case.

Keeping a structured record of denials received, categorized by type, payer, amount and appeal status, is the basis for efficient management. Without this control, the team operates with no visibility into where it is losing the most revenue and which payers account for the largest volume of refusals.

Grounds and deadlines

For cases that justify an appeal, the grounds need to be solid: a copy of the medical record, reports, a structured clinical justification, reference to the relevant contract clauses and strict compliance with the deadline set in each payer’s contract. A well-built appeal has a real chance of reversal. A generic appeal, sent after the deadline or without supporting documentation, is rarely accepted.

The documentation required varies with the type of denial.

For administrative denials, it is usually enough to supplement the missing document or correct the inconsistent data.

For technical denials, the appeal needs to show the clinical correlation between diagnosis, course of action and resources used, backed by medical literature when necessary.

For linear denials, the path is to show that the patient’s clinical situation justified the exception to the contractual limit.

Deadline control is an essential part of the process. Each payer sets its own deadline for filing an appeal, and missing that deadline means losing the right to dispute. Automated denial monitoring systems flag due dates in advance, ensuring that no viable appeal is dropped because of a deadline.

Monitoring through the ANS

The ANS monitors payers’ behavior regarding denials through the Denial Dashboard, which provides transparency on rates by payer and can be used as a reference in negotiations and appeals. Payers with denial rates above the industry average can be formally questioned, and the dashboard’s history serves as evidence in this process.

Continuous monitoring of the dashboard also makes it possible to identify changes in a payer’s behavior over time. A sudden increase in the denial rate of a specific health plan may signal a change in audit rules, a contract update or stricter review. Detecting this movement early makes it possible to adjust internal processes before the financial impact accumulates.

Preventable denials require active management, not just reaction

Most of the denials hospitals receive are preventable. Not because the processes are simple, but because the causes are known, recurrent and correctable with the right combination of standardization, training and technology.

Rivio works at every stage of this cycle: it reads medical records automatically, cross-checks clinical data against each payer’s billing rules, identifies inconsistencies before submission and generates denial appeals grounded in clinical and contractual evidence. All within a single ecosystem, with no manual integrations or multiple tools. And with a guarantee no other solution on the market offers: zero final denials, guaranteed by contract.

FAQ — frequently asked questions about hospital claim denials

What is a claim denial in healthcare?

A claim denial is the full or partial refusal by health plans to pay hospitals, clinics and laboratories for services rendered. It happens when there are inconsistencies, errors or nonconformities in the documentation or in the procedure billed, measured against the contract, ANS rules or the clinical evidence presented.

What are the main types of claim denials?

The three main types are: administrative denials, which originate in documentation and bureaucratic failures; technical denials, related to the clinical appropriateness of procedures; and linear denials, applied automatically based on preset limits and contractual rules.

How do I calculate my hospital’s denial rate?

The denial rate is calculated by dividing the total amount of accepted denials by the gross revenue from health plans for the period, multiplied by 100. To understand how to interpret this indicator and compare it with industry benchmarks, see the article Hospital denial rate: how to calculate and interpret it.

What is the deadline to appeal a denial?

Deadlines vary according to the contract with each payer and should be checked directly in each health plan’s contract. Close monitoring of these deadlines is an essential part of managing denial appeals: missing the deadline means losing the right to dispute.

What should a hospital do when the payer rejects a denial appeal?

When the appeal is rejected, the hospital can escalate the dispute to higher levels provided for in the contract, file a complaint with the ANS in cases of regulatory irregularity or seek mediation through industry chambers. For significant amounts, legal action is also an option, especially when there is clear evidence that the payer breached the contract.

Can AI effectively reduce claim denials?

Yes. Artificial intelligence acts on the root of the most common causes of denials: it reads and interprets medical records, identifies items that were not entered, detects inconsistencies before billing and generates well-grounded appeals automatically. Hospitals that adopted AI to manage the revenue cycle brought their final denial rate down to zero, with a contractual guarantee.

Are a denial and an objection the same thing?

No. A denial is the refusal to pay applied by the payer after reviewing the claim. An objection is the formal dispute filed by the provider in response to the denial, also called a denial appeal. They are distinct stages of the same cycle: the payer denies, the hospital objects.

How does the ANS regulate claim denials?

The ANS monitors payers’ behavior through the Denial Dashboard, which publishes denial rates by payer and allows industry comparisons. The agency also sets rules on payment deadlines and audit conditions that payers must follow. Payers with irregular behavior can be notified and penalized by the ANS, which makes monitoring the dashboard a strategic tool for providers