AI Prior Authorization and Denial Management

Two places where a claim stalls

AI prior authorization and denial management addresses two ends of one problem. Before the visit, a service that needed authorization is scheduled without one. After the visit, a denial arrives as a line on a remittance and waits.

Both are matching problems: an order against a payer’s rules, a remittance code against the action it calls for. AI-assisted workflows can do that work quickly, as long as people check the result. Gateway helps configure them around the practice’s systems and keeps the rules behind them current.

Identifying services that need authorization

The workflow compares ordered and scheduled services with a rule list organized by payer and plan. When a service on the list has no authorization on file, the visit is flagged while there is still time to act.

Each flag shows why it was raised: the service, the plan, the rule that matched and the date that rule was last confirmed. Payer requirements change often, so the list is maintained, and the practice confirms each payer’s current rules.

A flag means “check this.” The absence of a flag is not proof that no authorization is needed. For high-cost services and unfamiliar plans, staff should still verify with the payer.

Assembling the supporting records

Most requests are delayed because something is missing. For each flagged service, the workflow gathers what the payer usually asks for and lists what it could not find:

The signed order
The most recent visit note
Measurements, test results or photographs the payer requires
A record of earlier treatments and how the patient responded
Diagnosis and service codes as the practice has proposed them

Missing items are named along with who can supply them. The clinician confirms the clinical content. The AI does not write a statement of medical necessity, and it does not send a request. Staff review the packet, and it goes out under the practice’s name, as described under prior authorization tracking.

Status, missing items and expiration dates

Once a request is open, the workflow keeps three things in view: what the payer is still waiting for, where the request stands and when an approval runs out.

Approvals are also compared with the schedule. If visits are booked beyond an approved end date, or the approved units will be used up before the plan of care ends, the item is raised early so the clinician can decide whether to request more. This matters most for ongoing treatment, such as a course of advanced wound care products.

Grouping denials by the action needed

After the claim, the workflow reads the reason and remark codes on each remittance and sorts unresolved claims by what has to happen next: correct and resend, verify coverage, locate an authorization, send records or refer a coding question to the practice’s coder.

It also counts. When the same reason keeps appearing for one payer, service or location, the pattern is shown to the billing team with the claims behind it.

For each group, the workflow prepares supporting material: the original claim, the denial, the relevant notes and the authorization record. Your billing team decides whether a claim is corrected, appealed or closed, which is the work described under claims follow-up and denials.

Closing the loop between the two

The two halves inform each other. A run of denials for missing authorization on one service usually means the rule list is out of date for that payer. A run of denials for a clinician not on file points to credentialing and payer enrollment, not to authorization at all.

We bring patterns like these to the practice with a proposed change to the rule list or the process. Coding-related denials can inform AI billing and coding review, so the same question is raised before submission next time.

What people decide

The clinician decides what to order and whether it is medically necessary
The clinician handles peer-to-peer conversations and any clinical statement
The billing team chooses the response to each denial
The practice approves what is submitted and remains responsible for its claims

Every suggestion shows its source and reason, so the person deciding can check it.

How an engagement starts

We begin with one defined scope, often one payer or one service line that causes repeated rework. We confirm which systems hold the schedule, orders and remittances, and what data access is appropriate. Your team then checks the flags against what actually happened before anything is expanded.

Common questions

Where do the authorization rules come from?

From payers’ published requirements and from what the practice has confirmed with each plan. Each rule carries its source and the date it was last checked, and each flag displays both. The list is an aid to staff, not a substitute for verifying with the plan when a case is unusual.

What happens if the workflow misses a service that needed authorization?

It can happen. Responsibility for obtaining authorization stays with the practice, which is why staff verification continues for high-cost services. When a miss is found, usually through a denial, the rule list is corrected and upcoming visits for the same service are checked.

Can it write our appeal letters?

It gathers the material an appeal needs and organizes it for the billing team. Any letter is reviewed, edited and approved by the practice before it is sent. Statements about medical necessity come from the treating clinician and the record.

Do we need a manual tracking process in place first?

It helps. A practice that already records requests, approvals and expirations in one place gets more from the AI steps, because there is a reliable list to compare against. If tracking lives in inboxes and memory today, we usually set up a basic tracker first. Our guide to prior authorization tracking for small practices describes one.

AI prior authorization and denial management for practices.