Eligibility you check continuously, not at intake.
A one-time eligibility check at intake tells you what was true on the appointment date. By the time the claim ships 30 days later, the plan may have terminated, the deductible may have reset, or the patient may have migrated. Our AI runs continuous 270/271 sweeps on every active patient, surfaces material coverage changes the day they happen, and refreshes the verification the night before every appointment. The result is 99.4 percent of active coverage caught at the moment of service.
Per service code. Parsed and structured.
Most eligibility tools give you an eligibility-yes-or-no result. Our model parses the full 271 response into structured benefit detail per service code: in-network and out-of-network deductible status, copay amounts, coinsurance, out-of-pocket max, prior-auth requirements, specialist referral rules, mental-health and substance-use parity exceptions, and ABA-specific authorization rules where applicable.
The card to the right is the live parsed view a front-desk team sees on intake. Parents see their actual financial responsibility before session one, not after the first statement arrives in 35 days.
Six capabilities. Coverage stays current.
Each capability is real production code, validated by certified intake and billing specialists, accountable to a written SLA. Eligibility is the source-of-truth that everything downstream depends on; we treat it that way operationally.
Daily background 270/271.
Daily background sweep on every active patient. Material coverage changes surfaced within 24 hours of payer-side update. Pre-appointment refresh runs the night before every scheduled visit so the front-desk team has current detail at check-in.
Per-CPT benefit parse.
The 271 is parsed into structured fields per service code: deductible status, copay, coinsurance, OOP max, prior-auth, referral rules, parity exceptions. Front-desk teams see the financial responsibility per CPT, not just eligibility-yes-or-no.
Plan migrations surfaced fast.
Patients migrate between policies as employer brokers change. The AI surfaces material coverage changes within 24 hours and rebills any in-process claims under the corrected policy. Self-pay AR reclassification typically lifts 6 to 11 percent annually.
State-specific response parsing.
State-specific adapters for the top 30 Medicaid programs (92 percent of national enrollment). Translates raw 271 responses into normalized fields. Schema updates roll within 72 hours when a state changes its response format. Generic tools that treat Medicaid as homogeneous miss this entirely.
Prior-auth requirements caught.
The 271 carries prior-auth flags by service code. Our model surfaces auth requirements at intake so the front-desk team obtains authorization, not just verifies coverage. Eliminates the single most common auth-related denial: service rendered without active auth on file.
Self-pay rescan monthly.
Self-pay accounts get scanned against 1,200+ payer rosters monthly via Insurance Discovery. Discovered coverage flows into the continuous 270/271 sweep so it stays current. The discovery hit rate on previously declared self-pay is typically 11 percent in our active book.
A patient's eligibility, every day this week.
The view to the right is one active patient's eligibility activity in a single week. Daily sweep runs are quiet when nothing changes. A material change (deductible reset, plan migration, auth status update) emits an alert and queues a downstream action. The front-desk and billing teams see what happened and what to do about it; they do not have to remember to re-run a check.
Most eligibility tools treat the 270 as a one-shot intake step. We treat it as the continuous data feed that everything downstream depends on. The cost difference at scale is roughly 6 to 11 percent of annual AR.
Measured outcomes from continuous eligibility.
Across the active book. Anonymized; individual results depend on payer mix and prior intake discipline.
Frequently asked questions: AI for eligibility.
What is 270/271 and why does it matter for AI eligibility?
How is continuous eligibility different from a one-time check at intake?
What is the round-trip latency on a 270/271?
What kind of benefit detail comes back?
How do you handle Medicaid eligibility, which is messy by state?
What about mid-cycle coverage changes and plan migrations?
Does this connect to your eligibility-discovery model?
How does AI prevent eligibility-related denials specifically?
Send the appointment file. We send back the coverage gaps.
A free eligibility audit. Drop 30 days of appointments. We run continuous 270/271 sweeps across your payer mix and return a four-page audit covering coverage capture rate at intake, discovered self-pay coverage with dollar values, plan migrations missed, and a 90-day fix plan. A senior partner on the call.