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Insurance Eligibility Verification Automation

Eligibility failures do not announce themselves at the front desk. They announce themselves ninety days later as a denial, and by then the patient has been seen, the claim has aged, and the person who could have caught it has forgotten the visit.

Automated verification moves the check upstream. Every scheduled encounter is verified on a schedule before the visit, the response is parsed into fields your staff can act on, and only the exceptions reach a human.

What breaks today

Verification happens too late

Manual checks cluster around the day of service, which leaves no time to fix a coverage problem before the patient arrives.

Raw 271 responses are unreadable

The payer returns a dense benefit response. Staff either skim it or ignore it, and the copay estimate is a guess.

Nobody rechecks

Coverage verified three weeks ago at scheduling is not coverage on the day of service. Plans terminate.

Denials are diagnosed backwards

Eligibility-driven denials get worked as billing problems instead of intake problems, so the root cause never gets fixed.

What we build

Scoped during the assessment, then delivered in one to three week increments against your real systems.

  1. Scheduled batch verification

    Every encounter on the schedule is verified at intervals you set, typically at booking, at seven days, and at forty-eight hours before service.

  2. Benefit parsing into structured fields

    Deductible remaining, copay, coinsurance, out-of-pocket maximum, and plan status are extracted from the 271 and written into named fields, not pasted as a blob.

  3. Real-time checks at the desk

    A registration-time lookup for walk-ins and same-day adds, returning in seconds rather than sending staff to a portal.

  4. Exception-only worklists

    Clean verifications close silently. Terminated plans, coverage mismatches, and payer errors land in a worklist with the reason attached.

  5. Patient responsibility estimates

    Parsed benefits feed an estimate that front-desk staff can quote with confidence, which is the single largest lever on point-of-service collection.

What changes

Ranges reflect what comparable engagements have produced. Your baseline is measured during the assessment before anyone commits to a number.

  • Eligibility-related denials reduced by 30 to 50 percent in the first two quarters
  • Verification coverage moved from sampled to complete across the schedule
  • Point-of-service collections improved through accurate responsibility estimates
  • Front-desk time per registration reduced by several minutes

Systems this touches

Integration channel is chosen on verified capability in your environment, not on what is easiest to document.

  • X12 270/271
  • Availity
  • Waystar
  • Change Healthcare
  • Epic
  • athenahealth
  • eClinicalWorks
  • Tebra

Not sure this is the right workflow to start with? The $24,997 assessment exists to answer exactly that, and it frequently points somewhere other than where leadership expected.

(307) 454-0600

Common Questions

How far ahead should verification run?

Most organizations we work with settle on three passes: at scheduling, seven days out, and forty-eight hours before service. The last pass catches mid-month terminations, which are the most common source of surprise denials.

Can this write back into our practice management system?

Yes. Parsed benefits are written into named PM fields so registration staff see structured values rather than a raw payer response. Write-back method depends on the system and is scoped during the assessment.

Talk it through with an engineer.

Tell us what this workflow costs you today and we will tell you honestly whether automating it is worth the engagement.

Do not include protected health information in this form. We execute a business associate agreement before any PHI or workflow detail is shared.

Start with a conversation, not a proposal.

A 45-minute call with a senior engineer. We will tell you honestly whether automation is the right answer for the workflow you have in mind.