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Healthcare Document Processing
We build HIPAA-compliant document processing systems for healthcare and insurance. Claims, medical records, EOBs, and prior authorizations—extracted, validated, and routed automatically.
Document Processing
HIPAA-compliant document processing tools
HIPAA-compliant document processing with full audit trails.
Automated extraction of structured data from healthcare documents.
Business logic validation for claims, codes, and patient data.
Human review interface for low-confidence extractions.
BAA, security controls, and audit evidence.
A compliance-first approach to healthcare document automation.
Define document types, extraction targets, and compliance requirements.
Train extraction models on your specific document formats.
Deploy with HIPAA-compliant infrastructure and system integrations.
Accuracy monitoring, exception handling, and continuous improvement.
Flexible options for healthcare document projects.
Automate one document type (claims, EOBs, etc.) with validation.
$20,000 - $35,000
Multi-document automation with integrations and exception handling.
$45,000 - $70,000
Ongoing optimization, new documents, and support.
$8,000 - $18,000/mo
Results from healthcare document automation.
"Claims processing dropped from 3 days to 4 hours. We handle 3x volume with the same staff."
"Medical record extraction for prior auth is 95% automated. Nurses focus on patients, not paperwork."
"Passed HIPAA audit with flying colors. Every document access is logged and traceable."
"Claims processing dropped from 3 days to 4 hours. We handle 3x volume with the same staff."
Encryption at rest and in transit, access logging, BAA agreements, and security controls designed for PHI handling. We're happy to work with your compliance team.
95%+ for printed forms, 90%+ for handwritten fields. Low-confidence extractions route to human review rather than passing bad data.
Yes. We integrate with Epic, Cerner, and other systems via HL7/FHIR or custom APIs.
We train on your specific document formats. New variations are added to training data as they're encountered.
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