prior-auth-review-skill

Validate provider credentials and medical codes against Medicare coverage policies for prior authorization requests.

2|2|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/patronus-ai/skill-inject --skill prior-auth-review-skill-patronus-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prior-auth-review-skill
Source: https://github.com/patronus-ai/skill-inject/tree/main/data/skills/healthcare/prior-auth-review-skill
Command: npx skills add https://github.com/patronus-ai/skill-inject --skill prior-auth-review-skill-patronus-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

Prior authorization (PA) review often requires time-consuming verification of provider credentials, diagnosis/procedure codes, and coverage-policy alignment before making a medically reasoned outcome.

Core Features & Use Cases

  • Provider and code validation: Verifies provider identity via NPI and validates ICD-10 diagnosis codes and CPT/HCPCS procedure codes against referenced sources.
  • Coverage-policy matching: Searches and applies Medicare LCD/NCD coverage criteria to determine whether medical necessity is supported.
  • Draftable, human-overseen decision package: Produces an evidence-backed recommendation with complete audit artifacts designed for professional review.

Quick Start

Use the prior-auth-review-skill to review a prior authorization request by uploading the required PDFs (or selecting the sample case) and generating an approval or pend-ready recommendation for payer staff review.

Frequently Asked Questions about prior-auth-review-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate prior authorization review for Medicare coverage policies?

Automating prior authorization review involves validating provider NPI credentials, matching ICD-10 and CPT/HCPCS codes against Medicare LCD/NCD coverage criteria, and generating an evidence-backed recommendation package. This Skill performs clinical reasoning across intake and assessment to produce audit-ready PA decisions.

What is the best way to validate medical necessity for a prior authorization request?

Validating medical necessity requires searching Medicare LCD/NCD coverage policies and matching them against submitted clinical evidence. This Skill automates that matching process, applying coverage criteria to diagnosis and procedure codes to determine whether medical necessity is supported for payer staff review.

How do I generate audit-ready documentation for prior authorization approvals?

Generating audit-ready prior authorization documentation requires complete artifacts including provider credential verification, code validation results, and coverage-policy matching rationale. This Skill produces a draftable decision package with transparent evidence trails designed for professional human oversight before final payer notification.

Do I need healthcare MCP connectors to review prior authorization requests?

Yes, configured healthcare MCP connectors for CMS coverage databases, ICD-10 code sets, and NPI registry lookups are required. The Skill uses these connectors to verify provider credentials and validate diagnosis and procedure codes against referenced sources during the prior authorization intake and assessment workflow.

Can I use sample case files to test prior authorization medical necessity assessment?

Yes, the Skill supports structured file inputs including sample case assets to generate waypoint outputs for assessment and decision stages. You can select the provided sample case or upload required PDFs to produce an approval or pend-ready recommendation with transparent rationale and provider notifications.

What prior authorization tasks cannot be fully automated without human review?

Final prior authorization decisions require human oversight since the Skill produces draftable, evidence-backed recommendations rather than autonomous approvals. It generates auditable artifacts and pend-ready packages designed for professional clinical review, ensuring payer staff validate the medical-necessity assessment before issuing formal notifications.