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.
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
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 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.
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.
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
Five preparation steps. Then the pharmacist decides.
Documents processed
Policy pathway identified
Clinical evidence evaluated
Policy requirements evaluated
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.
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.
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.
Defines the requirements
Supplies the evidence
Prepares an advisory review
Makes the final coverage decision
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.