Know what a payer actually pays.
Every center runs a VOB. Only Revenue Logic tells you what the payer will actually pay — before admission, from real adjudicated claims. That’s PayerLenz: behavioral health reimbursement benchmarking.
Illustrative demo figures. Methodology: benchmarks drawn from adjudicated behavioral health claims and EOBs processed through Revenue Logic, indexed by payer, plan type, state, and level of care; updated continuously; de-identified to HIPAA and 42 CFR Part 2 standards. Live benchmarks reflect your actual payer mix and market.
• No competitor has adjudicated claims benchmarking built into their VOB process.
The unanswered question
Every center runs a VOB before admission. It confirms the insurance is active, behavioral health is covered, OON benefits exist. Necessary — and nowhere near sufficient. Because the one question a VOB can’t answer is the only one that decides whether the admission makes financial sense: what will this payer actually pay?
“70% of UCR” means nothing until you know this payer’s UCR for residential treatment in your state. A $2,000 deductible and 60% coinsurance sounds workable right up until the EOB applies a $1,200 per-diem instead of your billed charge. Those numbers aren’t on the benefits summary. The payer won’t volunteer them. And by the time the EOB lands, the patient’s been discharged for weeks. That gap is where treatment center revenue disappears. PayerLenz closes it.
Why don't standard VOBs predict behavioral health reimbursement?
PayerLenz is a behavioral health reimbursement benchmark built from adjudicated claims — real EOBs, real payment amounts, across real payers, plans, states, and levels of care. Run a behavioral health VOB with PayerLenz benchmarks and PayerLenz runs alongside it, returning expected OON reimbursement next to the live benefit response. One check, both answers. Your coordinator sees whether the patient is covered and what the payer is likely to pay, at the same moment, before the intake decision is made. No competitor has adjudicated claims benchmarking built into their VOB process.
The data source is the entire point, so be clear on what it isn’t. It isn’t self-reported. It isn’t pulled from stated fee schedules. It isn’t bought from a third-party data broker. It’s real payment data from real adjudicated claims — actual EOBs processed through Revenue Logic’s billing operations — indexed by payer, plan type, state, and level of care. And it updates continuously as new claims adjudicate, so it reflects current payer behavior, including mid-year fee schedule changes, not a frozen snapshot from two years ago.
How does PayerLenz change executive forecasting and census planning?
While the immediate benefit of PayerLenz is verifying individual patient reimbursement, the larger impact is on executive decision-making. For a CFO or facility director, unpredictable OON reimbursement makes census planning and budgeting nearly impossible. PayerLenz moves the facility from reactive cash-flow management to proactive financial planning. By aggregating historical reimbursement data by payer and level of care, leadership can forecast revenue against the current census mix, decide where marketing spend earns the best return by targeting specific payer demographics, and negotiate from strength when weighing whether to go in-network.
When a CFO can look at their current residential census and know, based on adjudicated data, exactly what that census is worth, it changes how they manage the entire facility. PayerLenz turns the VOB from a front-desk task into an executive forecasting tool.”
How does PayerLenz work?
The mechanics are simple by design — it has to fit inside the admissions workflow that already exists. One check, both answers, before the intake decision is made.
01
Run a live behavioral health VOB
Eligibility, benefits, prior-auth requirements, and OON benefit assignment come back as they normally would through Revenue Logic.
02
Match payer, plan type, state, and level of care
PayerLenz indexes the request against adjudicated claims for the same payer, plan, geography, and level of care.
03
Match payer, plan type, state, and level of care
PayerLenz indexes the request against adjudicated claims for the same payer, plan, geography, and level of care.
04
Return expected OON reimbursement
The benchmark appears alongside the eligibility response — one check, both answers, before the intake decision.
05
Support admissions, UR, appeals, and contracting
Coordinators counsel on a real number, UR prioritizes the high-payer cases, appeals get documented evidence, and contracting sees which payers underpay.
Where does PayerLenz data apply across the revenue cycle?
Admission
Coordinators counsel patients and manage census on a real expected-payment number.
Utilization review
Knowing expected reimbursement tells you where to spend review resources — high-payer cases earn maximum UR support.
Appeals
A payment below the benchmark is documented evidence of underpayment, drawn from adjudicated claims
Contracting
Patterns expose payers who systematically underpay, informing network-participation and rate decisions.
Planning
Census targets and staffing get built on data instead of hope.
Standard VOB tool vs. PayerLenz.
Capability
Standard VOB tool
PayerLenz
Eligibility
Confirms active coverage
Works alongside live eligibility confirmation
Benefit details
Deductible, coinsurance, OOP max
Adds expected reimbursement context to benefit details
OON insight
Confirms OON benefits may exist
Shows what similar claims have actually paid
Data source
Payer quote or plan language
Adjudicated behavioral health claims and EOBs
Decision support
Coverage decision only
Admissions, financial counseling, UR, appeals, contracting
Revenue question answered
“Is this patient covered?”
“What are we likely to collect?”
| Capability | Standard VOB Tool | PayerLenz |
|---|---|---|
| Eligibility | Confirms active coverage | Works alongside live eligibility confirmation |
| Benefit Details | Deductible, coinsurance, OOP max | Adds expected reimbursement context to benefit details |
| OON Insight | Confirms OON benefits may exist | Shows what similar claims have actually paid |
| Data Source | Payer quote or plan language | Adjudicated behavioral health claims and EOBs |
| Decision Support | Coverage decision only | Admissions, financial counseling, UR, appeals, contracting |
| Revenue Question Answered | "Is this patient covered?" | "What are we likely to collect?" |
“Every other RCM firm in the behavioral health space can tell you if a patient is covered. Only Revenue Logic, powered by PayerLenz, can tell you what that payer is actually likely to pay. Unlike competitors who rely on stated benefits or generic fee schedules, PayerLenz is built from a continuously updated pool of real, adjudicated behavioral health claims — a level of financial intelligence that simply doesn’t exist elsewhere in the market.”
When should a provider use PayerLenz data?
01
Before admitting an out-of-network patient.
02
When a VOB shows OON benefits but reimbursement is uncertain.
03
When counseling families on expected financial responsibility.
04
When forecasting revenue by payer mix and level of care.
05
When appealing an underpayment.
06
When evaluating in-network contract offers against OON alternatives.
The PayerLenz Data Exchange Program.
How it works
PayerLenz gets stronger with more data. Providers who contribute de-identified adjudicated claims to the pool receive up to a 25% discount on Revenue Logic service fees, in exchange for strengthening the benchmark for every participant. The more claims in the pool, the sharper the benchmark for your own payers.
Up to 25% off
Revenue Logic service fees, in exchange for contributing to the pool.
HIPAA & Part 2
All contributed data is fully de-identified to HIPAA and 42 CFR Part 2 standards before it enters the pool.
A sharper benchmark
Strengthens the benchmark for every participant — including your own payer mix.
Frequently asked questions.
What does PayerLenz actually tell me that my VOB doesn't?
The number. Your VOB confirms coverage and benefits; PayerLenz adds what this payer has actually paid for this level of care, drawn from real adjudicated claims. It’s the difference between “OON benefits available at 70% of UCR” and “this payer pays roughly $X/day for residential in your state.” One is a policy quote. The other is what hits your bank account.
Where does the data come from — is it modeled or estimated?
How current is the data? Payers change fee schedules mid-year.
Does PayerLenz predict exact payment?
No — it provides an expected reimbursement benchmark, not a guarantee. It replaces guesswork with historical payer behavior so admissions and revenue decisions rest on what similar claims actually paid, not on a stated benefit that rarely matches the EOB.
Can PayerLenz help with underpayment appeals?
Yes. When a payer pays materially below the PayerLenz benchmark, the benchmark supports internal review, payer escalation, appeal strategy, and contract renegotiation analysis. Because it’s drawn from adjudicated claims, it functions as documented evidence rather than an opinion about what the payer should have paid.
How does the data exchange program work, and is it compliant?
You contribute de-identified adjudicated claims to the pool and receive up to a 25% discount on Revenue Logic service fees in return, while strengthening the benchmark for everyone in it. All contributed data is fully de-identified to HIPAA and 42 CFR Part 2 standards before it enters the pool.
Does PayerLenz cover every payer?
Coverage varies by payer, state, and level of care, and it’s deepest for the national commercial payers and BCBS plans. It expands continuously as new claims are added. The carve-out MBHOs — Optum, Carelon, Magellan — are exactly the entities where having real paid data is most valuable, since their published schedules tell you the least.
Is PayerLenz the only tool you've built, or do you build custom tooling?
PayerLenz is the flagship — the adjudicated-claims benchmark that runs alongside every VOB — but it’s the headline of a longer story, not the whole of it. We build custom tooling around individual client workflows when off-the-shelf software can’t handle the quirk: census reporting, payer routing, reconciliation, whatever the specific problem is. PayerLenz shows we can build at the data layer; the client-specific work shows we’ll build for one facility’s particular need.
How does PayerLenz support FP&A for behavioral health operators?
PayerLenz supports FP&A by turning expected reimbursement into an operating assumption instead of a guess. The benchmark helps model payer mix, census value, cash timing, OON economics, underpayment risk, and in-network contract tradeoffs for detox, RTC, PHP, and IOP operators. When we already know your collection percentages, your aging buckets, and your payer mix down to the level of care, we have the honest inputs that make a financial model true instead of optimistic. It pairs with compare payer contract rates to OON reimbursement and identify behavioral health underpayments.
PayerLenz is the tool people know us by, but it’s one piece of a bigger habit: when a client hits a problem their software can’t see, we build the thing that can. The benchmark proves we can build at the data layer — the client-specific tools prove we’ll do it for one center’s particular workflow.
See the gap on your own data.
Send us a real plan from your payer mix and we’ll run a PayerLenz benchmark against it — so you can see, on your own data, the difference between what a payer covers and what it pays. That’s the gap, and it’s where your margin lives.