Prior authorization for ambulatory surgery

Get scheduled cases to the OR — with the docs to get paid.

Prior authorization for ambulatory surgery centers — orthopedic, spine, and pain.

Approva runs prior authorization for ambulatory surgery centers. AI assembles a payer-specific medical necessity packet from the chart; certified reviewers audit every case before it goes out; payer responses train the system.

Works with the payers, UM vendors, and clearinghouses you already use
Aetna
AnthemBlue Cross Blue Shield
UnitedHealthcare
Cigna.
Humana
eviCore
Carelon
TurningPoint
Availity
Waystar
HIPAA-aligned · BAA-ready · SOC 2 Type II in audit · Multi-tenant from day one
Who it's for

Built for orthopedic and pain management ASCs.

The high-volume specialties where prior authorization is a daily bottleneck — and where the medical necessity argument is the bottleneck inside it. Approva is designed to compress the prior-auth cycle from weeks to days, with a Payer Rules Library encoding the criteria that matter most for surgical cases.

Specialty
Orthopedics, spine, pain management
The wedge specialties Approva covers from day one. Adjacent specialties added as the rules library grows.
Coverage
Hundreds of payer policies
Aetna, BCBS, UnitedHealthcare, Cigna, Humana, regional Blues, Medicare Advantage. Plus the major UM vendors that handle delegated decisions.
Standard
CMS-0057 mandate
The 2027 federal prior authorization rule reshapes the industry. Approva is built for the world the mandate creates.
What makes Approva different

Different stage of the revenue cycle. Different artifact.

Coding vendors run after the procedure on finalized notes. Approva runs before the procedure on incomplete records — assembling the medical necessity argument that gets the case approved and paid.

01 / Stage

Pre-encounter, not post-encounter

Approva works between the moment a surgeon's office sends a case to the ASC and the moment the payer issues an authorization. By the time other vendors begin, Approva is finished.

02 / Object

The Case, not the claim

Every view in Approva centers on a scheduled surgery — patient, procedure, payer, date, dollars at risk, what's outstanding. Schedulers and admins don't think in claims. Neither does Approva.

03 / Artifact

The Packet, not the code

Approva assembles a payer-specific bundle: cover sheet, codes, evidence index, medical necessity narrative, form. The Criteria Checklist is the headline. Codes are a section of the packet, not the headline.

A Case in Approva

See the argument, not just the code.

Your team sees "5 of 6 Aetna criteria met, 1 needs documentation" before they see a CPT code. That's how a scheduler knows what to do next, and how a reviewer knows what to fix.

Every gap comes with a citation to the rule it's against — and a suggested fix from the chart, an RFI, or a peer-to-peer.

Outcomes · audited, four ASC sites, twelve weeks
Median time to first auth
−1.2d
vs. ASC baseline · n=4 sites · Q1 2026
First-pass approval rate
+18%
orthopedic + spine cases · 12-week window
At-risk exposure recovered
$48,200
avg. per site per month · case-level audit
Source: Approva site audit, Mar–May 2026. Methodology and per-site breakdown available under NDA.
From a customer
"By the time the surgeon walks in Monday, we already know which Tuesday cases will get denied — and what's missing to fix them. The rule, the citation, the page in the chart. That's the whole job."
Marisol K.·Practice administrator·Orthopedic ASC, 14 ORs, Midwest
How it works

AI proposes the Packet. Reviewers audit the argument.

Pure-AI ceilings out around 80% on medical necessity reasoning. Pure-services scales linearly with payroll. Approva does both — and uses every reviewer decision and every payer response as training signal for the next case.

The system

Document understanding reads the chart. The Packet assembler maps it to payer-specific criteria. The Payer Rules Library — built case by case — is a first-class data product. Every denial letter, RFI, and peer-to-peer outcome flows back as training signal.

The team

Every Case is audited by a certified reviewer — CPMA and CASCC coders, UR nurses, and a fractional physician advisor for peer-to-peer — before the Packet leaves the building. Reviewers fix gaps, capture denial reasons, and train the model.

01
AI proposes
Document understanding reads the chart. Packet assembled against payer-specific criteria.
Approva
02
Reviewer audits
CPMA + CASCC coder, UR nurse, fractional MD. Every Packet signed before it goes out.
Human in the loop
03
Payer responds
Approve, RFI, or deny. The denial letter is parsed and mapped to the criterion it failed.
Approva
04
Model learns
Reviewer fixes and payer responses become training signal. The rules library grows case by case.
Approva
The loop tightens with every case·One certified reviewer signs every Packet; one payer response refines every rule.
The platform

One platform. Three artifacts.

Approva is organized around the three things that have to happen for an ASC to get paid for a scheduled case. Each is an artifact a reviewer can sign — not a workflow that runs in the background.

01

The Packet

Prior authorizations

A payer-specific medical necessity bundle: cover sheet, codes, evidence index, narrative, form. Reviewers audit every Packet before it goes out. The Criteria Checklist is the headline; codes are a section.

Learn more
02

The Appeal

Denial management

When a case is denied, Approva parses the denial reason, maps it to the criterion it was scored against, and routes the case — RFI response, peer-to-peer, or formal appeal. Every denial trains the rules library.

Learn more
03

The Conversation

Peer-to-peer coordination

Approva schedules peer-to-peer calls with payer and UM-vendor medical directors, generates the briefing material from the chart and denial letter, and stamps the outcome back into the case.

Learn more

Frequently asked questions

What is prior authorization for ASCs?

Prior authorization is the process by which a payer approves a procedure before it is performed. For ambulatory surgery centers, it applies to scheduled surgical cases — orthopedic, spine, pain management, and others — before the case can proceed and be reimbursed.

Which specialties does Approva cover?

Approva handles prior authorization for orthopedic, spine, and pain management ambulatory surgery centers. These specialties have high prior authorization volume and significant denial risk, making authorization workflow a core revenue cycle function.

Which payers does Approva work with?

Approva handles authorization across major commercial payers and Medicare Advantage plans. Payer-specific packet requirements and documentation rules are built into the workflow.

What is CMS-0057 and what do ASCs need to do?

CMS-0057-F is the CMS Interoperability and Prior Authorization final rule, which requires covered payers to implement FHIR-based prior authorization APIs and meet new decision timeframes by 2026–2027. ASCs are not directly regulated, but the rule changes how payers respond to requests your center submits. See our full CMS-0057 guide for details. Learn more →

Is Approva HIPAA-compliant?

Yes. Approva operates under a Business Associate Agreement (BAA) and handles protected health information in compliance with HIPAA requirements.

Does Approva sign a BAA?

Yes. A Business Associate Agreement is part of every Approva engagement. You can review our security and compliance posture at our security page. Learn more →

Does Approva replace our authorization staff?

No. Approva augments your existing team. Certified human reviewers audit every case before submission. The system handles packet assembly and payer-specific formatting; your staff and our reviewers handle judgment and escalation.

How long does implementation take?

Most ASCs are live within two to four weeks. Implementation includes EHR/PM system connection, payer rule configuration, and a review of your current authorization workflow.

The bottom line

Get cases to the OR. Get paid for them.

Less time on faxes. Fewer denials. A Packet behind every case that knows the rule it was scored against.