Blog/ Hospital billing

Five hospital billing errors and how to avoid them

From the closing schedule to team skills: see which operational failures do the most damage to hospital billing and how each one can be corrected with processes and technology

By
Rivio, Editorial team
Published
Reading time
7 minutes

Hospital billing is the process that ensures all services provided (tests, procedures, materials and medications) are correctly recorded, coded and billed to payers. When this process works accurately, the hospital receives what it is owed, within the contractual deadlines.

When there are failures, denials arise: payment refusals that undermine cash flow, create rework and consume the team’s time on tasks that could have been avoided. Industry data indicate that Brazilian hospitals lose between 5% and 15% of gross revenue to denials and inefficiencies in the revenue cycle.

The good news is that most of these losses originate in avoidable errors. This article presents the five most frequent problems in hospital billing and what managers can do to correct them.

What hospital billing is and why it is strategic

Hospital billing covers every stage that turns a clinical encounter into revenue, from patient registration and eligibility verification to procedure coding, submitting forms to payers and tracking payment.

It is an area with a high degree of technical complexity. Each payer has its own rules, specific reference tables and different deadlines. An error at any stage of this flow can result in a denial, delayed payment or permanent loss of revenue.

That is why structuring billing with clear processes, a skilled team and the right tools is a strategic decision that directly affects the institution’s financial sustainability.

Error 1: no claim closing schedule

One of the most recurring problems is the lack of a calendar for closing claims. Without a defined schedule, forms pile up, contractual submission deadlines are missed and the hospital’s financial flow becomes unbalanced.

The impact is twofold: besides denials for late submission, the lack of predictability makes the institution’s financial planning harder. Claims that should come in during a given month end up slipping into the next, distorting indicators and complicating the accounting close.

How to structure the closing:

  • Set a weekly or biweekly calendar, with fixed dates for each payer.

  • Assign owners for each stage and monitor task completion.

  • Use systems with automatic alerts for deadlines and pending items per claim.

  • Review the schedule monthly to address the bottlenecks identified.

Hospitals with a larger volume of patient encounters tend to benefit from automation tools for this control, because manual spreadsheet monitoring becomes unfeasible as the operation grows.

Error 2: communication failures between teams

Billing depends on information generated in several areas: the front desk, nursing, pharmacy, the operating room, attending physicians and internal audit. When communication between these teams is fragmented, failures such as duplicate entries, unrecorded items, incorrect dates and forms submitted with incomplete data are common.

This is one of the main sources of administrative denials, which stem from process failures rather than clinical issues. A common example: the pharmacy dispenses a medication outside normal hours without recording it correctly in the system. Billing closes the claim without that item. The payer pays less than what is owed, and the hospital only notices weeks later, when the appeal deadline is about to expire.

How to reduce this problem:

  • Standardize communication flows between areas with written, validated protocols.

  • Use integrated systems that centralize the information from each patient encounter in real time.

  • Create cross-checking routines between billing and nursing before the claim is closed.

  • Hold periodic meetings between areas to align processes and address recurring issues.

Good communication between teams directly reduces the rate of avoidable denials. To better understand the most common types of refusal, see the article Main causes of denials: how to identify and resolve them.

Error 3: using outdated tables

Working with outdated price tables causes silent losses. When procedure prices in the internal system differ from the tables in force, two problems arise: the hospital charges less than it could receive, or it charges more than the contract allows and gets denied for an excessive amount.

The main reference tables used in hospital billing are TUSS (Unified Terminology for Supplementary Health), CBHPM (Brazilian Classification of Medical Procedures), Brasíndice and Simpro, in addition to each payer’s specific contract tables. All of them are updated periodically, and those updates need to be reflected in the billing system.

The ANS (Brazil’s National Supplementary Health Agency) maintains the Pricing Panel (Painel de Precificação) as a reference tool for prices charged in private healthcare, which makes it easier to track changes.

How to keep tables up to date:

  • Assign someone to be responsible for periodically updating the tables in the system.

  • Automate the import of updates whenever the system allows.

  • Review contracts with payers at least every six months to identify price adjustments.

  • Compare payment statements with the amounts billed to identify systematic discrepancies.

Error 4: no indicator monitoring

Managing hospital billing without reliable indicators means making decisions with incomplete information. In that situation, problems only show up once they have already caused losses, not before.

The main hospital billing indicators include: denial rate by payer, average time to close a claim, average amount denied by type of procedure, appeal approval rate and productivity per analyst. Each of these numbers points to a specific cause of inefficiency and enables targeted interventions.

A hospital that tracks the denial rate by payer, for example, can quickly identify whether a new contract is being poorly executed, whether a rule changed without formal notice or whether a certain type of procedure accounts for most of the refusals.

How to structure monitoring:

  • Define an indicator dashboard with monthly targets for each metric.

  • Hold monthly reviews with the area’s leadership to analyze variations.

  • Use automated dashboards that consolidate data from different payers into a single view.

  • Cross-check billing indicators with clinical data to identify patterns of incorrect coding.

To learn which metrics to track in hospital management, the article Healthcare management indicators: which matter most? offers a complete view of the topic.

Error 5: lack of ongoing team training

Hospital billing requires constant updating. Payer rules change, tables are revised, new ANS resolutions come into force and systems are updated. A team that does not keep up with these changes makes errors that become the norm, generating denials month after month for the same reasons.

Beyond technical knowledge, the billing team needs to develop analytical skills to interpret denial statements, identify patterns and propose process corrections. This profile goes beyond the operational executor and comes closer to a revenue cycle analyst.

How to structure training:

  • Hold periodic training sessions on the rules of the main payers.

  • Encourage knowledge sharing between senior and junior analysts.

  • Encourage participation in technical courses on healthcare billing and coding.

  • Build a library of denial and appeal cases, with the lessons learned from each one.

Well-trained professionals identify errors before submission, reduce post-denial rework and contribute to continuous process improvement.

How technology reduces these errors in practice

Many of the errors described in this article can be eliminated with the right technology. Revenue cycle management platforms with artificial intelligence can audit claims before submission, identify inconsistencies between clinical data and each payer’s rules, and alert the team to pending issues in real time.

Rivio uses artificial intelligence to automate the hospital revenue cycle, from audit to payment. The platform identifies inconsistencies before claims are submitted, manages denial appeals and provides real-time visibility into billing performance.

By automating analysis, reducing rework and supporting decisions with reliable data, we help hospitals operate more efficiently, free up their teams’ time and create the conditions to focus on what really matters: quality of care and the patient experience.

FAQ: frequently asked questions about hospital billing

What causes the most denials in hospital billing?

The most frequent causes are incomplete documentation, expired authorization codes, charges outside the contract table and items billed without a physician’s prescription. Most originate in process failures that can be corrected with protocols and technology.

What is the difference between a technical denial and an administrative denial?

A technical denial questions the clinical appropriateness of the procedure charged. An administrative denial stems from operational errors, such as missing documentation, a missed deadline or an amount that differs from the contract.

How can you tell whether a hospital’s billing is efficient?

The main indicators are: denial rate by payer, average time to close a claim and percentage of appeals approved. Healthy billing usually has an initial denial rate below 3% and a closing time under 48 hours per claim.

How often should billing tables be updated?

Updates follow the calendar of each reference table and the contractual adjustments with each payer. The recommendation is to review the tables in the system at least monthly and whenever there is a contract amendment.

Can artificial intelligence replace the billing team?

AI automates repetitive, high-scale tasks, such as claims audit and preparing appeals. Clinical judgment, negotiation with payers and the management of complex cases still depend on people. Technology amplifies the team’s capacity without replacing it.

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