Extract patient demographics, ICD-10 codes, CPT codes, charges, and provider details from CMS-1500 and UB-04 forms—without templates or manual keying.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
“We process 8,000 CMS-1500 forms per month across our network of 12 clinics. Automating extraction reduced our billing staff requirements by 30 percent and cut our average days in A/R by a full week.”
“UB-04 forms with their dozens of fields were always our most error-prone data entry task. The AI reads every field including revenue codes and condition codes that our team frequently miskeyed.”
“The confidence scoring is what sold us. We can set different thresholds for financial fields versus demographic fields, which means we only manually verify the data that truly matters.”
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
Medical claim forms are the backbone of healthcare reimbursement. The CMS-1500 handles professional claims from physicians and outpatient providers, while the UB-04 processes institutional claims from hospitals and facilities. Together, these two forms account for virtually all medical claims submitted in the United States. Despite the push toward electronic claims submission, paper and scanned CMS-1500 and UB-04 forms remain common in many healthcare billing workflows.
Medical claim OCR extracts structured data from these standardized but complex forms. A single CMS-1500 contains over 30 distinct fields including patient demographics, insurance information, diagnosis codes (ICD-10), procedure codes (CPT/HCPCS), dates of service, and charge amounts. The UB-04 is even more complex with revenue codes, condition codes, occurrence codes, and value codes. Manual data entry from these forms is slow, error-prone, and expensive.
Accuracy in medical claim processing has direct financial consequences. A misread diagnosis code can trigger a claim denial. A transposed charge amount creates a payment discrepancy. A wrong date of service violates timely filing requirements. Lido provides field-level confidence scoring on every extracted value, allowing billing teams to set verification thresholds that balance speed with accuracy based on their specific tolerance for rework.
Healthcare billing operations evaluating medical claim OCR should prioritize accuracy on the specific form types they process most, support for both CMS-1500 and UB-04, integration with practice management and clearinghouse systems, and compliance certifications. Lido handles both form types from any source quality with HIPAA-eligible processing and SOC 2 Type 2 compliance.
Medical claim OCR supports CMS-1500 (professional claims) and UB-04 (institutional claims), which together cover virtually all medical claim submissions in the United States. The AI handles both printed and handwritten entries on these forms.
The AI engine recognizes standard medical coding formats and extracts ICD-10 diagnosis codes and CPT/HCPCS procedure codes as structured data fields. This enables direct mapping to billing system fields without manual code lookup or entry.
AI-powered medical claim OCR typically achieves 97 to 99 percent accuracy on clearly printed forms. Confidence scoring flags uncertain fields for human verification, which is essential for financial and clinical data where errors have direct reimbursement consequences.
Yes. The system processes scanned paper forms, digital PDFs, and photographed documents. It handles varying image quality levels with confidence scoring that identifies fields needing human review.
Lido provides a REST API returning structured JSON that maps directly to standard billing system fields. Export to Excel, CSV, and Google Sheets is also available for clearinghouse upload or manual import workflows.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
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