medical-invoice-document-understanding

Classify medical invoice documents and extract structured facts into case_evidence.json.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/arkangelai/skills --skill medical-invoice-document-understanding
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: medical-invoice-document-understanding
Source: https://github.com/arkangelai/skills/tree/main/medical-insurance-audit/medical-invoice-document-understanding
Command: npx skills add https://github.com/arkangelai/skills --skill medical-invoice-document-understanding

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reads all uploaded documents for a medical invoice case, classifies each by content (not filename), extracts structured facts (patient, provider, payer, dates, diagnoses, procedures, medications, signatures, authorizations), checks cross-document consistency, and produces case_evidence.json for downstream audit skills.

Core Features & Use Cases

  • Classifies documents by actual content to avoid mislabeled files and improve accuracy.
  • Extracts traceable facts with sources (fuentes) and aggregates them into a comprehensive case_evidence.json.
  • Performs cross-document consistency checks to surface discrepancies for audit review.
  • Produces an evidence bundle that downstream admin/medical/financial audit skills can consume.

Quick Start

Run the medical-invoice-document-understanding skill on a new or reprocessed case to generate case_evidence.json from all related documents.

Frequently Asked Questions about medical-invoice-document-understanding

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

FAQPage Schema
How do I extract patient and provider data from medical invoice documents?

This skill performs cross-document medical invoice auditing by reading all uploaded case files, classifying them by content, and extracting structured facts into a case_evidence.json file. It checks consistency across documents to surface discrepancies for audit review.

How do I handle mislabeled files during healthcare invoice data extraction?

This skill handles mislabeled files by classifying documents based on their actual content rather than filenames. This prevents misclassification errors and ensures accurate data extraction for the audit workflow.

Can I use this for cross-document consistency checks on medical cases?

Yes, this skill performs cross-document consistency checks by comparing extracted facts like dates, diagnoses, and authorizations across all uploaded documents. It surfaces discrepancies for audit review.

How do I generate a case_evidence.json file for downstream medical audit skills?

To generate a case_evidence.json file, run this skill on a new or reprocessed medical invoice case. It extracts facts with traceable sources and aggregates them into an evidence bundle for downstream admin, medical, and financial audit skills.

What is the best way to audit medical invoices with multiple uploaded documents?

The best way to audit medical invoices with multiple documents is to use a cross-document understanding skill that classifies content and extracts structured facts. This surfaces information and inconsistencies before downstream admin, medical, and financial checks.