Payer-specific review
When it may fit: A few payers account for most of the slowdown.
Evidence needed: Payer rules, portal changes and denial detail.
Trade-off: Needs payer cooperation.
Hospital Intelligence Brief
Cash arrives slowly when something in the chain slows it. Days in accounts receivable by payer is one of the clearest places to see where.
Where in the revenue cycle is cash getting stuck?
The revenue cycle runs from scheduling to final payment, with many handoffs. When a step slows, cash is delayed, and the effect shows up as rising days in accounts receivable. But the total hides which step slowed, and which payer is responsible.
This matters because slow cash is a financial cost: borrowing, or reduced liquidity. In a hospital with thin cash, a few extra days in A/R can matter a great deal.
To find a bottleneck, break the delay down:
Public benchmarks for days in A/R exist, but they differ by definition and payer mix. Compare a hospital with itself over time first.
In the synthetic hospital, days in A/R rose from 43.9 days to 47.5 days. Illustrative By payer the slowdown is uneven:
| Payer | Denied % of billed FY25 | Denied % of billed FY26 | A/R days FY25 | A/R days FY26 |
|---|---|---|---|---|
| Medicare | 7.9% | 8.4% | 38.0 days | 40.0 days |
| Medicaid | 12.0% | 14.4% | 44.0 days | 50.0 days |
| Commercial A | 10.0% | 12.7% | 40.0 days | 47.0 days |
| Commercial B | 10.4% | 13.0% | 42.0 days | 52.0 days |
| Self-pay & other | 13.0% | 11.2% | 52.0 days | 55.0 days |
Calculated Commercial B slowed most (A/R days from 42.0 days to 52.0 days) and its denied share rose to 13.0%. Commercial A and Medicaid moved in the same direction. Medicare barely changed. The delay is concentrated with specific payers, which suggests payer-specific rules or processes, not a hospital-wide problem.
Hypothesis Payers where denials rise and cash slows together often changed a rule, a portal or an authorization requirement. That suggests a payer-by-payer conversation and a look at the relevant workflow, rather than general pressure on staff.
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.
Payer-specific bottlenecks need payer-specific responses.
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 an A/R and cash-flow bottleneck analysis by payer and process stage.