You’re Losing Revenue at Intake Because You Don’t Know the Patient

“What insurance do you have?” It’s one of the most common questions providers ask at patient intake. The answer comes back: a plan name, a member ID, a birth date. The workflow follows with eligibility and benefit checks, prior authorizations, and billing. All of it downstream from whatever the patient said.

Often, the information a patient gives is wrong. They share last year’s plan, or the insurer managing their behavioral health without realizing that’s a different carrier from their primary medical coverage. Some patients, particularly those on waitlists or in online intake funnels, haven’t provided anything yet. The eligibility check confirms only that the plan they gave is active. So the check comes back clean, the authorization goes through, the claim goes out, and then it comes back denied because the patient has a primary insurance you were unaware of. By that point, the mistake is weeks old.

When the Data Is the Actual Issue

When front-end revenue cycle problems come up, the conversation usually lands on eligibility verification or prior authorization. Did we confirm the patient’s plan is active? Did we check benefits before the visit? These are the right questions, but they start one step too late.

Eligibility and benefit verification only works if you already know which insurer to check against, and most intake systems have no mechanism to catch when that starting point is wrong. HFMA reported that in 2025, denial rates averaged close to 12% industry-wide, with incorrect eligibility and enrollment data at intake among the top listed causes.

What Silna’s Payor Discovery Does

Rather than waiting for a patient to report their insurance, Silna’s Payor Discovery looks it up. You provide basic demographic information like name and date of birth, and Silna checks whether the patient has active coverage across a defined list of payors. Results come back with the coverage found, which your team or your product can then use to confirm with the patient rather than asking them to fill everything in manually.

This runs across 250+ payors, in real time, and can be triggered for any set of payors at any point in the patient journey: before outreach, during online intake, or as a recurring background check for your existing roster of patients.

For a provider working through a waitlist with limited intake information, running Payor Discovery on a batch of patients using just name and date of birth lets you understand who likely has active coverage before you’ve even made contact. That turns a flat waitlist into a prioritized outreach queue. Patients with a higher likelihood of reimbursement move up, which matters when intake capacity is limited.

For a digital health company with an online intake funnel, Payor Discovery lets you surface what Silna finds before a patient opens a form. Instead of asking someone to enter their plan name, member ID, and group number, you show them what you already found and ask them to confirm. That change alone reduces drop-off at one of the most critical stages of the funnel, and it gives you earlier visibility into what insurance your incoming patients actually carry.

The Secondary Coverage Problem

One of the less discussed ways intake gaps create revenue problems is coordination of benefits. COB errors happen when a provider doesn’t know a patient has multiple plans, bills the wrong one first, or sequences claims incorrectly. The result is a denial, a partial payment, or a recovery process that takes months.

This keeps happening, not because of negligence, but because there’s no reliable way to know a patient has secondary coverage unless they disclose it.

Payor Discovery surfaces secondary plans alongside primary ones. Catching that information at intake rather than during a denial appeal changes the economics of everything downstream. Silna’s insurance monitoring also flags when Medicaid MCO patients switch plans mid-year, so providers can resubmit authorizations and claims to the correct plan before issues compound.

Signal Quality Matters as Much as Coverage

Not all coverage discovery is equally useful. A broad search can return every plan a patient has ever touched, including lapsed dental plans, vision coverage, or out-of-network commercial plans irrelevant to your practice. Staff still have to sort through results, which offsets whatever time the automation was supposed to save.

Silna’s approach lets providers configure discovery against a specific list of payors: the ones you have in-network contracts with and care about for your patient population. You’re not casting a wide net hoping something hits. You’re checking the payors that are actually relevant.

For providers not ready to integrate via API, Silna also supports a dry run option. Send a patient intake list and Silna will run discovery manually, so you can see the results before committing to a technical integration.

As Coverage Changes, Discovery Should Too

Most coverage discovery tools are positioned as intake checkpoints. You run a check when a patient first comes in, find what you find, and move on. But coverage often changes, sometimes mid-treatment. A patient can pick up secondary coverage through a spouse’s new employer. A Medicaid beneficiary gets reassigned to a different MCO.

If discovery only happens at intake, those changes become claims problems later. Silna’s Payor Discovery is designed to run as a continuous check against your active patient panel, not just as a one-time intake event. That keeps coverage data current and catches changes before they cause downstream failures.

Better Intake, Better Everything Downstream

Silna supports more than 150,000 patients nationwide. Across those workflows, the pattern that keeps appearing is that problems surfacing in eligibility, prior auth, billing, and collections are almost always traceable to bad assumptions made at intake.

Payor Discovery is part of Silna’s Care Readiness Platform, the same infrastructure that powers automated eligibility monitoring, specialty-specific benefits verification, and prior authorization management. The goal across all of it is the same: help providers clear patients for care, so providers are confident that they can get paid for the work they do.

If you’re interested in how Payor Discovery would work for your intake workflows, via API or via Silna’s web app, talk to our team.

Payor Discovery runs under the provider’s existing treatment relationship with the patient. Silna does not query payors independently. All lookups are initiated and permissioned by the provider. Silna is fully compliant with applicable healthcare data regulations.