Prevent denials at the front end
When it may fit: Eligibility and authorization denials are growing.
Evidence needed: Denial reasons by department and payer; front-end process data.
Trade-off: Prevention takes process change and training.
Hospital Intelligence Brief
Revenue leakage is money the hospital earned but did not collect. Finding it means separating what is possible to recover from what only looks that way.
How much of what the hospital earned is it actually missing, and how much of that is real?
Every hospital loses some revenue between care delivered and cash collected, through denied claims, underpayments, missed charges and write-offs. Headlines about large “leakage” numbers are common. The numbers are usually ceilings, built from total denied dollars rather than from what could actually be recovered.
This matters because projects sized on the ceiling disappoint. Some denials are valid and will never be overturned, some are past appeal windows, and some cost more to chase than they are worth. A credible investigation sizes the realistic opportunity.
Leakage investigations work best when they distinguish levels of certainty:
Verified fact Industry reports on denials and leakage exist, but figures vary widely by hospital, payer mix and definitions, so they should not be applied to a specific hospital without that hospital’s own claim data.
In the synthetic hospital, denied dollars were $15.5M in FY26, up from $12.6M. Of those, 49.0% had been recovered, leaving possible exposure of $7.90M, up from $5.70M. Illustrative
Calculated The exposure rose faster than denied dollars, because the recovery rate fell from 54.8%. That is a meaningful signal: appeals and resubmissions are recovering less of a growing pool. It is a ceiling, not a recoverable amount. Some of it is valid denials, and some may be time-barred.
Information gap Sizing the opportunity requires sampling claims: what share of denials is valid, what share is still appealable, and what the cost of working them is. The experience’s scenario shows how the ceiling moves under explicit assumptions, but it cannot replace the sample.
4. Explore the interactive experience
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.
Reducing leakage means attacking it at different points. These options address different kinds.
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 revenue integrity assessment that separates possible exposure from verified recoverable revenue using a claim sample.