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Emed OCR

Transform any healthcare document - paper, fax, scan, or handwritten - into structured, AI-codeable clinical data in seconds.

See it Live View Pipeline

99.2%

Character Recognition Rate

10+

Supported Document Formats

<3s

Avg. Processing Time per Page

FHIR R4

Structured Output Standard

Live OCR Processing Analytics

Real-time throughput and accuracy benchmarks from Emed OCR production deployments.

Emedlogix · Emed OCR — Medical Document Intelligence
Emedlogix Emed OCR Dashboard - Document Intelligence Analytics

▪ Live Document Scan Preview

ICD-10: E11.65 HCC: 19 CPT: 99213 FHIR R4 ✓
Processing: discharge_summary_003.pdf — 99.2% confidence
0 Pages processed in the last hour Across all active Emed OCR deployments • Updated every 60s

▪ Recognition Accuracy by Document Type

Typed / Printed Records0%
Handwritten Physician Notes0%
Fax Documents0%
EHR Screenshots0%
NER Clinical Entity F10%
0 Pages processed monthly
<0s Avg. sec per page

Every Document Format, Handled

Emed OCR ingests and processes any document type your healthcare organization works with - no format left behind.

PDF & Scanned Images

Multi-page PDFs and scanned TIFFs/JPEGs processed with adaptive image enhancement for maximum character fidelity.

Fax Documents

Low-resolution fax images cleaned, deskewed, and processed through our noise-reduction pipeline before OCR extraction.

Handwritten Notes

Physician and nurse handwritten clinical notes processed through our specialized medical handwriting recognition model - trained on real-world clinical penmanship.

EHR Screenshots

Screen-captured EHR data automatically read and parsed - bridging systems that lack API access with structured data extraction.

Word & Text Documents

DOCX, TXT, and RTF clinical documents parsed and entity-extracted alongside scanned documents in a unified workflow.

Secure Email Attachments

HIPAA-compliant email ingestion pipeline automatically captures, classifies, and routes attached medical documents.

The Emed OCR Processing Pipeline

A robust, multi-stage pipeline that takes raw documents to actionable clinical data.

1. Secure Ingestion

Documents received via SFTP, REST API, EHR connector, or secure email. All transfers are encrypted in transit with AES-256 and logged for HIPAA compliance audit trails.

2. Image Pre-Processing

Automatic deskew, denoising, contrast normalization, and resolution enhancement ensures optimal character recognition regardless of original document quality.

3. Medical OCR Engine

Healthcare-specific OCR model trained on clinical vocabularies, drug names, anatomical terms, and abbreviations achieves 99.2% character-level recognition on medical documents.

4. NER & Entity Extraction

Named Entity Recognition identifies diagnoses, medications, procedures, lab values, dates, and provider information - structuring free-text into codeable clinical entities.

5. Auto-Classification & Routing

Documents automatically classified by type (H&P, Progress Note, Discharge Summary, Labs, Imaging Report) and routed to the appropriate downstream coding or review workflow.

6. Structured FHIR Output

Extracted data delivered as HL7 FHIR R4 resources via REST API to your EHR, RCM, or coding platform - completing the digital transformation of the document.

99.2%

Character recognition on typed medical documents

94%

Recognition accuracy on handwritten physician notes

98.5%

Clinical entity extraction precision (NER F1 score)

Turn Every Document Into Clean Clinical Data

See Emed OCR process your most challenging document types - live, with your real records.

#Medical OCR #Document AI #EHR Scanning #HIPAA
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