METHUVIA AI
Evidence-first clinical intelligence for prior authorization

A clearer way to review prior authorization cases.

METHUVIA AI organizes policy requirements, clinical evidence, and source traceability into a structured review so pharmacists can evaluate cases with the source material in view.

METHUVIA AI prepares the review. The pharmacist makes the final coverage decision.

Built by a clinical pharmacist with a background in prior authorization, utilization management, and medication review.

Product walkthrough

See Methuvia in action

See how Methuvia organizes prior authorization evidence against policy requirements, keeps supporting evidence traceable to its source, identifies what is still missing, and prepares an advisory recommendation for pharmacist review.

AI prepares the review. Pharmacists make the decision.

Synthetic demonstration. No real patient data.

  • Evidence mapped to requirements
  • Source and page traceability
  • Missing information stays missing
  • Pharmacist-controlled determination
Read transcript
METHUVIA AI - PRODUCT WALKTHROUGH V3.2 Narration transcript ============================================================== Prior authorization review often begins with clinical information spread across multiple documents. Methuvia brings that information into a structured clinical review workflow. Its interoperability layer is designed to receive clinical information through controlled external intake pathways while preserving the same review and safety boundaries inside Methuvia. In this fully synthetic case, the prior authorization request, chart notes, and coverage policy are available together for review. Methuvia organizes the submitted documentation and keeps the original source material available to the reviewer. The applicable policy requirements are evaluated individually, with supporting clinical evidence connected to each requirement. That evidence remains traceable to its source and page, so the reviewer can inspect where the information came from rather than relying on an unsupported conclusion. When the record does not establish a requirement, Methuvia does not fill in the gap. Here, the methotrexate dose and inadequate response are documented, but the required treatment duration is not. Methuvia therefore prepares an advisory recommendation to request more information. That recommendation is not the coverage decision. The pharmacist reviews the evidence and remains responsible for the final determination. AI prepares the review. Pharmacists make the decision.
The review

See the review, not just the claim.

Policy, request, and chart notes stay in view with the criteria, the cited source, and an advisory recommendation. The pharmacist makes the final coverage decision.

Illustrative layout · synthetic example

No patient or payer information

Coverage policy

Requirements and the cited policy page

Prior authorization request

Drug, indication, and review type

Clinical chart notes

Evidence cited back to the note

Criteria

Status and source

  • Requested diagnosisChart noteMet
  • Prior therapyChart noteMet
  • Required lab valueNo cited sourceUnresolved

Met items cite a source. Unresolved items are not treated as met.

Policy page

Opens at the cited policy page

Advisory recommendation

Prepared for pharmacist review

Pharmacist decision

Final coverage decision

See Methuvia in action

See the review flow.

See how METHUVIA AI organizes policy requirements, clinical evidence, source traceability, an advisory recommendation, and the pharmacist decision boundary.

Synthetic demonstration. No patient or payer information.

What it is

A structured review, prepared for a pharmacist.

Prior authorization review is manual, inconsistent from reviewer to reviewer, and hard to repeat as volume grows. Policies are long, criteria are nested, and a missed requirement can lead to the wrong next step.

METHUVIA AI is designed to put the policy, the request, and the chart notes in one review, with each requirement tied to the source support that is actually there. Pharmacists can spend their time on the decision. METHUVIA AI prepares the review. The pharmacist makes the final coverage decision.

The problem

Prior authorization review is more than document extraction.

A defensible review depends on the requested drug, the indication, the review type, and the policy pathway — then on whether each requirement is supported by the chart. Missing any one of those makes the review harder to stand behind.

  • Inconsistent policy interpretation across reviewers
  • Time-consuming manual chart review
  • Difficulty navigating multi-indication policies
  • Nested criteria that are easy to misread
  • Wrong indication or review-pathway selection
  • Evidence that is hard to trace back to the source
The workflow

Five preparation steps. Then the pharmacist decides.

01

Documents processed

02

Policy pathway identified

03

Clinical evidence evaluated

04

Policy requirements evaluated

05

Review prepared

Pharmacist decision

A licensed pharmacist reviews that preparation and makes the final coverage decision. Approve, deny, and request-for-information actions stay with the pharmacist.

Platform capabilities

What the review is designed to show.

Document intake

Organizes the coverage policy, prior authorization request, and clinical chart notes as the source material for one review.

Policy review

Identifies applicable policy requirements and keeps each one traceable to the policy source, including the cited page when it is available.

Clinical evidence

Connects criteria to supporting evidence and the source of that evidence. It does not fabricate missing source support.

Review preparation

Summarizes the case, shows criteria status and rationale, and surfaces an advisory recommendation for the pharmacist.

Human authority

The pharmacist retains final decision authority. Approve, deny, and request-more-information actions stay with the pharmacist.

Fail closed

When documentation is missing or unresolved, the requirement is not marked met and the point stays with the pharmacist.

Human oversight

Advisory recommendation. Pharmacist decision.

METHUVIA AI prepares the case. It does not approve or deny coverage. When source support is missing or unresolved, that requirement stays open for the pharmacist.

Policy

Defines the requirements

Chart

Supplies the evidence

METHUVIA

Prepares an advisory review

Pharmacist

Makes the final coverage decision

FAQ

Common questions.

What is METHUVIA AI?

METHUVIA AI organizes coverage policy, the prior authorization request, and clinical chart notes into a structured review. It surfaces criteria status, source traceability, and an advisory recommendation. It does not make the coverage decision.

Who is it designed for?

Health plans, PBMs, specialty pharmacies, clinical-review organizations, and the pharmacists and medical directors who review prior authorization cases.

Does it make final coverage decisions?

No. METHUVIA AI prepares the review. The pharmacist makes the final coverage decision.

How does it use coverage policies?

It organizes the uploaded coverage policy with the request and chart notes, identifies the applicable pathway, and shows each requirement with the source support available for it.

What happens when documentation is missing or conflicting?

Missing or unresolved support is not treated as met, and METHUVIA AI does not invent a source. Those items stay with the pharmacist.

Can I upload patient information through this website?

No. This public website does not accept file uploads or patient records. Demonstrations use synthetic examples only.

Is the platform available?

METHUVIA AI is available for demo and pilot conversations. Use Request a Demo to describe your organization and workflow. An active customer pilot is not claimed here.

How can my organization request a demonstration?

Use the Request a Demo page. Do not include patient information.

Get started

See how METHUVIA AI can support your clinical-review workflow.

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