Agentic Document Extraction in Healthcare
Healthcare organizations process millions of documents every day—patient records, insurance claims, referral forms, lab reports, and explanation of benefits (EOB) documents.
Manual document processing slows clinical and administrative workflows and increases operational costs.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Why Agentic Document Extraction for
Healthcare
Traceable Outputs for Regulated Workflows
Very extracted value is grounded to a precise location in the source document, giving compliance and operations teams the audit trail that HIPAA reviews, CMS audits, and payer oversight programs require at scale.
Accurate across Clinical Document Complexity
Agentic extraction maintains high accuracy from structured CMS-1500 forms to free-text clinical notes, multi-page discharge summaries, and mixed-format lab reports without format-specific configuration.
Operational Speed at Scale
Compressing document processing cycle times in prior authorization and revenue cycle management reduces administrative delays that directly affect patient access to care and reimbursement speed.
Built for Complex Healthcare Documents
Intelligent document processing across hospital systems, health plans, physician practices, and revenue cycle operations is extremely difficult due to the sheer diversity of document types, the inconsistent layouts and the domain expertise required. This complexity is compounded by multi-language content, handwriting, scanned images, photos, and legacy formats like faxes.
Accurate parsing of dense tables that span multiple pages and contain merged cells.
Single pipeline for image, slide, document, and spreadsheet file types with 1000+ pages.
Strong recognition of character-based languages, handwriting, checkboxes, stamps and signatures.
Schema-driven field extraction with visual grounding traceable to the original document.
Use cases
Patient Record Processing
Extract key patient information, diagnoses, and treatment data from clinical documentation and medical records.
Faster patient record processing
Reduced administrative workload
Improved data availability for clinical systems
Referral & Intake Document Processing
Extract patient information from referral forms and intake documents to streamline patient onboarding and scheduling workflows.
Faster patient onboarding
Reduced administrative processing time
Improved care coordination
Clinical Doc & Coding
Extract diagnosis codes, procedure codes, and supporting clinical evidence from discharge summaries, operative reports, progress notes, and pathology reports to support accurate medical coding.
Capture all billable services documented in the record to improve net revenue
Reduce coding query volumes and manual review cycles across the coding team
Maintain documentation accuracy that withstands payer and CMS audit scrutiny
Trusted for Document-Heavy Healthcare Workflows
Agentic Document Extraction enables healthcare institutions to automate document-intensive processes that traditionally require manual review.
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →