Hospital Intelligence Brief

What Denial Trends Can Reveal About Revenue Cycle Operations

A rise in denials is rarely a general decline. The reasons behind it usually point to one or two specific processes, and sometimes to a change outside the hospital.

1. The business problem

When denials rise, what are they telling you about how the revenue cycle is running?

Denial rates are among the most watched revenue-cycle measures. When they rise, the first response is often to “work denials harder.” But denials come from many places: registration, authorization, coding, clinical documentation and payer rules. Working them harder without knowing which is growing treats symptoms.

This matters because a concentrated increase in one reason usually has one fixable cause, and fixing it prevents denials rather than chasing them.

2. What the evidence can reveal

Reading denial trends well means looking at them several ways:

  • Calculated By reason: which categories are growing fastest and which are largest?
  • Calculated By payer: is the increase concentrated with specific payers?
  • Calculated Against volume: are denials growing faster than claims?
  • Information gap By cause: what changed internally (a system, a team) or externally (a payer rule)?

Verified fact Each denial reason points to part of the process: eligibility and authorization to front-end registration and scheduling, coding and medical necessity to documentation and coding, and timely filing to billing operations.

3. Investigate the problem

In the synthetic hospital, denied dollars grew 23.0% while claims grew 6.1%. Illustrative

Illustrative: denied dollars by reason, FY25 to FY26 (synthetic data)
Denial reasonFY25FY26Change
Prior authorization$2.90M$4.10M+41.4%
Duplicate & other$1.00M$1.50M+50.0%
Timely filing$900K$1.10M+22.2%
Medical necessity$1.90M$2.30M+21.1%
Coding & documentation$3.60M$4.00M+11.1%
Eligibility & registration$2.30M$2.50M+8.7%

Calculated Prior authorization is the standout: denied dollars rose 41.4%, accounting for 41% of the total increase. Duplicate and other denials grew fastest in percentage terms, but from a smaller base. Coding and documentation, the largest category, grew more modestly. The increase is concentrated rather than general.

Hypothesis A concentrated rise in authorization denials often points to a payer requirement that changed, a service newly requiring authorization, or a process gap in scheduling. Which it is changes the fix. The dataset cannot say, but it narrows the investigation to one department and a handful of payers.

4. Explore the interactive experience

Investigate it yourself.

Revenue Cycle Investigation: a claims dashboard with denial reasons, payers and A/R days, a denial-reduction scenario that separates possible exposure from verified revenue, evidence-linked answers from APIS, and a sample brief, all on synthetic data.

The experience below uses synthetic claims data for a fictional hospital. No patient data is involved, and every figure is illustrative.

  1. Select the Prior authorization row. The payer table does not change, but compare denial rates across payers.
  2. Ask APIS what denial trends reveal about revenue cycle operations.
  3. In the Scenario tab, apply a 30% authorization fix. How much does possible exposure fall?

5. Evaluate possible solutions

What to do depends on which reasons are growing and why.

Fix the leading denial reason at its source

When it may fit: One reason dominates the increase.

Evidence needed: Process, payer-rule and department data for that reason.

Trade-off: Requires cross-department cooperation.

Payer-specific engagement

When it may fit: Denials concentrate with a few payers.

Evidence needed: Payer contract terms and rule changes.

Trade-off: Depends on counterparties; takes time.

Front-end process redesign

When it may fit: Eligibility and authorization are growing.

Evidence needed: Registration and scheduling workflow data.

Trade-off: Takes training and technology support.

Strengthen documentation and coding

When it may fit: Coding and medical-necessity denials are material.

Evidence needed: Documentation audits and coder feedback.

Trade-off: Needs clinician time; compliance oversight is important.

6. What leadership should do next

Questions to answer

  • Which reasons are growing, and by how much?
  • Which payers are involved?
  • What changed when it started?
  • Who owns the fix?

Data to gather

  • Denials by reason, payer and department
  • Payer rule-change history
  • Authorization workflow data
  • Appeal outcomes

Steps to take

  1. Rank reasons by growth and value.
  2. Trace the top reason to its owner.
  3. Test a fix on a small scale.
  4. Track the reason monthly.

7. Engage Two Pillars

Explore Your Hospital’s Opportunities

Two Pillars can help hospital leadership investigate financial, operational, and strategic questions using relevant organizational data, public information, and a structured assessment process. A good first step is a denial root-cause analysis that traces your fastest-growing denial reasons to their owning processes.

Sources and data notes

  • The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
  • CMS, Cost Reports: www.cms.gov/data-research/statistics-trends-and-reports/cost-reports — public information on the annual cost reports that Medicare-participating hospitals file.
  • Maryland Health Services Cost Review Commission: hscrc.maryland.gov — published Maryland hospital financial and utilization data.
  • Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals.