EHR / EMR Patient records
Document extraction built for healthcare workflows.
Turn complex healthcare documents into structured, validated data — even when formats vary across providers, payers, labs and systems.
extracted.json · Healthcare
// extracting · referral_4827.pdf
- patient_id PT-4827 100%
- provider Dr. Anna Schmidt 100%
- dob 1978-03-12 100%
- icd10 M54.5 99.8%
- referral_date 2025-09-12 100%
- prior_auth — auth code · payer review
0 records Verified · parsed today · 99.0% accuracy
Powering document extraction for teams at
Healthcare operations depend on documents from everywhere.
Teams operate across fragmented ecosystems — patients, providers, labs, payers and partners — each with their own systems, standards and constraints. In practice, this means:
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Intake forms vary
Different formats across clinics, channels and patient sources.
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Lab reports drift
Diagnostic results differ by lab and reporting system.
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Faxed and scanned PDFs
Documents arrive low-quality, forwarded between systems.
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Handwritten clinical notes
Critical fields show up as handwritten annotations.
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Bundled patient files
Large files combine multiple document types together.
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Field inconsistencies
Missing or conflicting data delays downstream workflows.
At scale, manual review drives significant cost across clinical and admin teams.
Why healthcare automation breaks at scale.
Healthcare documents don't behave predictably. Layouts shift across providers, fields appear in different locations, files are merged and rescanned, and critical information is duplicated or conflicting across documents.
Raw inbound
Intake form · clinic_a.pdf
Lab report · provider_b.pdf (scan)
Referral · handwritten_notes.jpg
EOB · payer_packet.pdf
Mixed bundle · patient_4827.pdf
Structured · EHR-ready
shipment.json
{
"patient_id": "PT-4827", "provider": "Dr. Anna Schmidt", "dob": "1978-03-12", "icd10": "M54.5", "referral_date": "2025-09-12", "prior_auth": "AUTH-9921"
} 0manual reviews per intake
From clinical paperwork to EHR-ready data.
Invofox supports each stage by structuring documents before any data extraction begins — built for the variable, high-stakes nature of healthcare paperwork.
- Step 01
Intake & capture
Ingest intake forms, referrals, lab reports, EOBs, medical records and consent forms across providers, labs and payers — any format, any quality.
- Step 02
Document understanding & structuring
Invofox splits, classifies and analyzes layout to identify document types, sections, tables and key fields — even when layouts vary across providers.
- Step 03
Data extraction
Extract patient, provider, clinical and administrative fields using OCRs, LLMs and layout-aware models tuned for real healthcare documents.
- Step 04
Evaluation & validation
Field-level accuracy, mismatch detection and consistency checks surface errors before data enters EHRs and billing systems.
- Step 05
Ready for production workflows
Structured, validated, system-ready data your healthcare team can rely on for intake, referrals, billing, reporting and downstream workflows.
Built for healthcare reliability, not just OCR.
Healthcare workflows are fundamentally document-driven. Patient intake, referrals, billing and reporting all depend on extracting accurate, structured data — in production environments where accuracy directly impacts patient experience and operational efficiency.
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01 Automate document handling at scale
Not just text extraction — full document pipeline.
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02 Schema-based extraction
Across diverse clinical and administrative documents.
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03 Layout, structure & context
Not just raw OCR output — full document understanding.
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04 Field-level accuracy metrics
Measure accuracy before data is used downstream.
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05 Surface mismatches & edge cases
So intake and billing workflows don't silently fail.
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06 Continuously improving models
Through controlled experimentation and feedback.
Structured data that fits your healthcare stack.
Invofox delivers structured, validated data through a plug-and-play asynchronous API with webhook support — connect to EHRs, billing platforms and clinical workflows without forcing changes to your stack.
Invofox API webhooks · async
Billing Revenue cycle
Intake Referral management
Analytics Reporting tools
Clinical ops Internal workflows
Invofox API Webhooks · async delivery
EHR / EMR Patient records
Billing Revenue cycle
Intake Referral management
Analytics Reporting tools
Clinical ops Internal workflows
Plug-and-play API: no brittle pipelines, no per-provider rebuilds.
Enterprise-grade security, independently verified.
Click on our certifications below to see the details.
Compliance 
SOC 2 Active
Our systems and controls are independently audited every year against the AICPA Trust Services Criteria — security, availability, processing integrity, confidentiality, and privacy.
Zero-retention
Process. Deliver. Erase.
Documents deleted right after delivery. No copies, no backups, no logs.
Opt-in · Only for Scale and Enterprise clients
No copies No backups No logs
Self-hosted
Run it on your servers.
Deploy Invofox inside your own infrastructure. Same API, your perimeter.
Only for Enterprise clients
On-prem VPC Air-gap
Want the full report? Audits, policies, sub-processors and the latest pen-test summary live in our trust center. Open trust center
Frequently asked questions.
who.json
1 {
2 ··"question": "Who typically uses Invofox in healthcare workflows?",
3
4 ··"answer": "Healthcare teams processing documents from multiple external sources — providers, labs, payers — and needing reliable, structured data for downstream systems. Teams usually start with one specific workflow and expand over time."
5 }
Still have questions? Talk to us