UB-04 — Institutional Medical Claim: AI Extraction, Automation & Compliance

What Is the UB-04?

Standard claim form used by hospitals, skilled nursing facilities, and institutional healthcare providers to bill insurance companies.

Market regions: US. Primary users: Health insurers, TPAs, Workers' comp carriers, Reinsurers.

Key Data Fields in the UB-04

Insurance operations need to extract and validate the following fields from every UB-04:

• Facility name and NPI
• Patient admission/discharge dates
• Diagnosis codes (ICD-10)
• Revenue codes
• DRG code
• Charges by service line
• Attending physician NPI

Manual extraction of these fields typically takes 15-45 minutes per document depending on complexity. At volume — hundreds or thousands of UB-04s per month — this creates a significant operational bottleneck and introduces transcription errors that cause downstream issues in claims, underwriting, and compliance.

Why UB-04 Automation Is Difficult

Hospital bills are complex, multi-page documents with revenue codes, service line details, and DRG groupings. Manual review takes 20-40 minutes per bill. High-value hospital claims create significant exposure if incorrectly adjudicated.

Traditional OCR tools fail on UB-04 processing because they rely on fixed template matching. When formats vary — due to different software versions, jurisdictions, carriers, or manual completion — template-based extraction breaks down. AI-powered extraction that understands document context and field semantics is required.

Regure's UB-04 Processing Capability

Regure processes UB-04 forms with revenue code mapping, DRG validation, outlier identification, and comparison against historical billing patterns. High-value bills automatically trigger independent medical review workflows.

Automation Workflows for UB-04

Regure applies the following automated workflows to every UB-04 processed:

• AI Data Extraction — Automatically extract structured data fields from the document
• Validation & Verification — Cross-check extracted data against policy records and third-party sources
• Intelligent Routing — Classify and route documents to the right team or workflow
• Immutable Audit Trail — Log every action on the document for regulatory and litigation purposes
• Multi-Party Collaboration — Share documents securely with carriers, adjusters, and legal teams
• Compliance Reporting — Generate regulatory-compliant reports from document data
• Fraud Detection — Flag anomalies and suspicious patterns in document data
• Payments Triggering — Extract payment-relevant data to trigger settlement workflows
• Renewal Triggering — Extract key dates and data to initiate renewal workflows
• Regulatory Filing — Prepare and submit required data to regulators and stamping offices

Integration with Insurance Systems

Regure processes UB-04 documents and pushes extracted data to downstream systems via API:

• Guidewire ClaimCenter — extracted claim fields flow directly into claim records
• Applied Epic — policy data populates Epic fields automatically
• Duck Creek — underwriting and claims data syncs via Duck Creek APIs
• Sapiens — document data integrates with Sapiens CoreSuite workflows
• Any policy administration or claims system via Regure REST API

Compliance and Audit Trail for UB-04

Every UB-04 processed through Regure generates an immutable audit trail recording:

• Timestamp and source channel of document receipt
• Each field extracted and the confidence score of the extraction
• Any manual corrections made to extracted data and by whom
• Routing decisions and the rules that triggered them
• All parties who accessed the document and when
• Final disposition — filed, archived, or forwarded to downstream systems

This audit trail satisfies regulatory requirements from the FCA, EU DORA and AI Act, and US state insurance departments for evidence of controlled, documented document processing.

Related Document Types

• CMS-1500 — Professional Medical Claim — Standard claim form used by physicians, therapists, and non-institutional healthcare providers to bill insurance companies and Medicare
• Independent Medical Examination (IME) Report — Physician's independent assessment of a claimant's medical condition, causation, and work capacity for insurance claims purposes

The extraction mechanics behind this — classification on structure rather than filename, a confidence score on every field, and review of only the uncertain ones — are covered on document processing. For what happens to the data once it is out of the document, see MGA and coverholder operations and policy administration.

Ready to automate UB-04 processing in your operation? Book a demo to see Regure extract your actual documents, or explore the full document library to see all supported document types.