Create models in seconds
Upload a health insurance claim and watch as Affinda instantly predicts the data fields you need, helping you automate claim data extraction in just a few clicks.
How to automate health insurance claim processing with Affinda's AI
- 1
Upload your health insurance claims, your way
Email, drag and drop or connect via API.
- 2
Watch as it extracts your health insurance claim data
Affinda's AI reads your health insurance claims with impressive contextual understanding. It splits and classifies documents, extracts and validates data, then transforms the output to match your business needs.
- 3
Automatically route the data to your systems
No manual data entry required. Affinda integrates seamlessly into your existing tech stack.
Extract any information from any document, fast
Affinda's AI reads, understands and extracts data from any health insurance claim 
Cleanse and transform data
Affinda automatically converts extracted health insurance claim data into the format your claims management or billing system recognizes, ensuring it's ready for immediate use. Need something custom? Use natural language to describe how you want the data structured.
Apply business logic
Apply validation rules and business logic to the extracted data, ensuring every health insurance claim meets your accuracy and compliance standards. This enables straight-through processing that reduces manual review.
Combine the best of artificial and human intelligence
1B+ documents processed
10+ years of IP combined with the latest AI innovations
800+ customers
95% reduction in manual processing achieved
No need to talk to sales. Get started now
With a free trial, discover how easy it is to extract any information from any document, fast.Sign up for free
No sales calls, no credit cards and no hidden features. Get all the power in your hands from day one.Upload documents
Drag and drop, email or upload via API. Affinda can handle any document, any file type and any layout with ease.See the magic
Watch as the platform predicts the information you want to extract, letting you build models in minutes, not months.Automating their document processes with AI
Frequently asked questions
What is health insurance claim processing?
Health insurance claim processing is the workflow healthcare providers and insurers use to receive, extract, validate and approve data from medical claim forms like CMS-1500 and UB-04. Affinda's AI health insurance claim processing software automates this entire workflow – reducing manual effort, speeding up reimbursements and minimizing errors. It ensures claim data is accurate, compliant and ready for your billing, EHR and insurance systems.
What is health insurance claim data extraction?
Health insurance claim data extraction is the process of reading medical claim forms like CMS-1500 and UB-04 and capturing critical data points – including patient details, provider information, diagnosis codes, procedures, charges and insurance details. Affinda's AI automates health insurance claim data extraction, handling complex tables and multi-page forms to transform unstructured documents into structured data ready for your claims, billing and EHR systems.
What is health insurance claim extraction?
Health insurance claim extraction is the automatic capture of key data from medical claim forms using AI. Our health insurance claim extraction software combines reading order models, OCR, LLMs, RAG and more to convert claim information with high accuracy and faster processing times.
What is a health insurance claim parser?
A health insurance claim parser is software that automatically reads and extracts data from medical claim forms. It converts claims into structured, machine-readable formats your systems can use. Affinda's AI health insurance claim parser learns from every interaction – adapting to variations in layout, format and custom forms with ease while transforming the output into exactly the format your downstream systems need.
What is health insurance claim line extraction?
Health insurance claim line extraction captures procedure and charge data from tables within claim forms – turning it into structured, usable data while preserving the relationships between diagnosis codes, procedures and charges. Affinda's complex table capability reads everything from simple grids to multi-line procedure groups, maintaining the connections your billing and claims systems need.
What data fields can Affinda's AI health insurance claim processing software extract?
Affinda's AI health insurance claim processing platform can capture data from any field on a medical claim form. Standard data fields include:
Patient Information
- Patient Name: Full name of the patient receiving care.
- Patient ID / Medical Record Number: Unique identifier assigned by the provider or health system.
- Date of Birth / Age: Patient's birth date or age at time of service.
- Gender: Patient's sex or gender identity when documented.
- Patient Address / Contact Information: Residential address, phone number and contact details.
Provider Information
- Provider Name / Organization: Healthcare provider or facility delivering care.
- NPI / Provider ID: National Provider Identifier or facility tax ID number.
- Provider Address: Billing and service location addresses.
- Referring / Supervising Provider: Names and identifiers for referring or supervising physicians.
Claim Details
- Claim Number / Control Number: Unique identifier for the claim submission.
- Service Date / Admission Date: Date or date range when services were provided.
- Place of Service: Code indicating where care was delivered.
- Claim Type: Professional (CMS-1500), institutional (UB-04) or other format identifiers.
Diagnosis & Procedures
- Diagnosis Codes (ICD-10): All diagnosis codes with appropriate sequencing and pointers.
- Procedure Codes (CPT / HCPCS): Service and procedure codes from claim line items.
- Modifiers: Additional codes that modify procedure or service descriptions.
- Units / Quantity: Number of units or days for each procedure line.
Charges & Billing
- Charge Amount: Billed amount for each procedure or service line.
- Total Claim Amount: Sum of all charges on the claim.
- Prior Payments / Adjustments: Previous payments or balance adjustments when documented.
Insurance Information
- Insurance Carrier Name: Name of the payer or insurance company.
- Policy / Group Number: Insurance policy and group identifiers.
- Subscriber Name / Relationship: Policyholder name and patient's relationship to subscriber.
- Prior Authorization / Reference Numbers: Pre-approval codes and payer reference numbers.
Need custom fields or industry-specific data points? Simply define them in the UI or describe them in natural language and Affinda will extract and structure them automatically.
What file types does Affinda's AI health insurance claim processing solution support?
Our AI agents can process any file type. Supported file types include PDF, JPG/JPEG, PNG, TIFF, DOC/DOCX (Word), XLSX (Excel), HTML and TXT/CSV.
How does Affinda process health insurance claims and extract health insurance claim data?
Affinda's AI agents read, extract and validate health insurance claim data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
- Upload your health insurance claims via drag-and-drop, email or API.
- Configure business logic to match your organization's rules and workflows.
- Let Affinda check and validate extracted data against your business logic and claims management, billing, EHR or insurance systems to ensure accuracy.
- Access structured health insurance claim data directly within your systems.
The result? Faster, more accurate health insurance claim processing with minimal manual input.
Can Affinda extract data from scanned or image-based health insurance claims?
Yes. Our AI health insurance claim processing platform combines OCR with retrieval augmented generation (RAG), LLMs, agentic workflows, proprietary reading order algorithms and more, to automatically detect and process data from scanned or photographed invoices (PDF, JPG, PNG). Even low-quality images are automatically enhanced for reliable data capture and processing.
What language does Affinda's AI health insurance claim automation platform support?
Our AI health insurance claim processing platform can automatically detect and process health insurance claims in 50+ languages, including multilingual health insurance claims containing more than one language. Supported languages include: Afrikaans, Albanian, Amharic, Arabic (Standard, Egyptian, Sudanese, Algerian, Moroccan, Levantine), Bahasa Indonesian, Bengali, Bhojpuri, Bulgarian, Burmese, Chinese (Mandarin [PRC/Taiwan], Cantonese, Wu, Min Nan, Jinyu, Xiang, Hakka), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Italian, Japanese, Javanese, Kannada, Korean, Latvian, Lingala, Lithuanian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Odia, Persian (Farsi), Polish, Portuguese, Punjabi (Western and Eastern), Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Yoruba.
Does Affinda integrate with claims, billing and EHR systems?
Yes. Affinda integrates seamlessly with claims management, billing, EHR and insurance systems – plus 400+ other platforms. You can build no-code integrations using our AI integrations agent or connect using our APIs, giving you the flexibility to fit health insurance claim processing into your existing workflow.
What are some examples of AI health insurance claim workflow automations?
AI health insurance claim processing automates and streamlines healthcare workflows across departments such as:
- Claims Operations: Speed up adjudication and reduce errors by extracting patient, provider, diagnosis and procedure data from CMS-1500 and UB-04 forms – including complex tables and multi-page submissions. Business-rule validation flags claims needing review, catching missing authorization codes, diagnosis mismatches and duplicate submissions.
- Medical Billing / Revenue Cycle Teams: Use self-learning AI that adapts to form variations, simplifying charge capture and improving reimbursement timelines while reducing denials.
- Insurance / Payer Teams: Feed structured claim data into your existing systems to enhance accuracy, compliance and operational scalability across high-volume claim processing.
What is a health insurance claim OCR data extractor?
A health insurance claim optical character recognition (OCR) data extractor scans and captures information from medical claim forms such as CMS-1500 and UB-04, regardless of format or layout. Upload claim documents in PDF, JPG or PNG formats. The OCR technology first converts the documents into a text layer, ensuring all text (even from scans, photos or handwritten forms) is captured. Affinda's AI models then identify and extract key fields such as patient details, provider information, claim numbers, diagnosis codes, procedures, charges and insurance details, transforming them into structured, usable data.
This automation eliminates manual data entry, reduces errors and speeds up reimbursements. Once the claim data is captured and structured, our AI health insurance claim processing pipeline can apply business-rule validation and post-processing to enable seamless integration with claims management, billing, EHR and insurance systems.
Healthcare providers, insurance companies and medical billing teams rely on Affinda's AI for their claims operations, revenue cycle management and compliance processes, streamlining workflows and improving overall efficiency.