HEALTHCARE · REVENUE CYCLE INTELLIGENCE
Automate patient access, underpayment recovery and procedure economics for healthcare providers
A referral arrives by fax and sits for three weeks. A claim is paid below the rate the payer agreed to and nobody notices because it was never denied. OutcomeCatalyst follows the patient from that first referral to the collected dollar, and surfaces every point where the money stops moving.
Revenue cycle intelligence, in plain terms
A referral arrives by fax and sits in a queue for three weeks. A claim is paid below the rate the payer signed and nobody notices, because it was never denied. Revenue cycle intelligence follows the patient from that first referral to the collected dollar and surfaces every point where the money stops moving.
From referral to collected dollar, in four steps
Read-only, no migration, and no change to clinical workflow. Nothing touches care delivery.
Why this matters for provider groups
Provider economics are squeezed from both ends. Reimbursement per encounter is set by contracts you have limited power to renegotiate, and cost per encounter rises with labour. That leaves collection rate and throughput as the levers actually under your control, which makes leakage the most addressable margin in the business.
Denials are the visible part and still routinely mishandled. Eligibility and registration denials are the largest single category and among the most overturnable, which means the most recoverable dollars are lost to a front-desk data problem rather than a clinical one. Every appeal has a filing deadline, so the work is time-boxed whether or not anyone is tracking it.
Underpayments are the invisible part and structurally worse. Because the claim was adjudicated and paid, it never enters a denial queue, never gets flagged, and closes clean. Detecting it requires reading a contract PDF and comparing it to a remittance file, which is not work anyone has capacity to do at claim-level volume.
Referral leakage happens before any of that. A patient referred to you who is not contacted within the first days is substantially likely to be seen elsewhere. The referral usually arrives as a fax, which means the highest-value new revenue in the practice enters through the least structured channel you have.
Built for the stack a provider group actually runs
These are the systems referenced in the workflow above. Nothing here touches clinical decision-making or the record of care.
Questions practice leaders ask first
Does this touch clinical care or the medical record?
No. Every workflow here is administrative and financial: referral logistics, eligibility, authorisation, coding support, claims and collections. Nothing suggests, alters or influences a clinical decision, and nothing writes to the record of care.
How do you handle PHI and HIPAA?
Deployment models include running entirely inside your own environment so PHI never leaves your control. Access is role-based, every read is logged, and de-identification is available where the workflow does not require identified data. This is designed for groups with existing HIPAA obligations and BAAs.
How is this different from our clearinghouse or RCM vendor?
A clearinghouse tells you a claim was rejected or paid. It does not tell you the payment was below the rate in your signed contract, because that contract is a PDF nobody machine-reads. That comparison is the gap most RCM tooling leaves open.
We already have a denial work queue. What does this add?
Ordering and reach. Denials get scored by your own overturn history rather than worked in receipt order, so the same staff hours recover more. It also covers the categories that never produce a denial at all, which is where underpayments hide.
Will this create more work for our front desk or coders?
The intent is the opposite. Findings arrive with the appeal or corrected claim already drafted from the underlying documentation, so the work shifts from investigating to reviewing and signing.
How long does implementation take?
Most engagements are live on a first workflow in four to six weeks. Denial recovery is the common starting point because the recovered dollars are verifiable against your own remittances, which makes the result easy to check.
Can this work across multiple sites with different systems?
Yes, and that is usually the reason to do it. Multi-site groups typically carry a different ledger and sometimes a different practice management system per site. Normalising them is what makes site-to-site comparison meaningful.
Who signs off on an appeal before it goes out?
Your RCM team. Every draft cites the clinical documentation, the remittance line and the contract page it relies on, so a qualified person reviews the reasoning before anything is submitted to a payer.
AI revenue cycle intelligence: common questions
What is revenue cycle intelligence?
It is one system that tracks every referral from intake to first visit, reads every claim and remittance, scores denials by how likely they are to overturn, checks what payers actually paid against the rate in the signed contract, and puts all sites on one yardstick.
Where does the data come from?
From what a practice already runs. Epic and athenahealth hold referrals, encounters and claims. Availity carries eligibility and prior auth. Waystar carries the 835 remittances. Payer contracts hold the rate that was agreed, and the fax queue holds referrals nobody triaged.
How is this different from our practice management system?
A practice management system tells you a claim was paid. It does not tell you the payment was lower than the rate in the signed contract, because that rate lives in a PDF nobody machine-reads. This compares the two and drafts the appeal.
