Cloud-hosted clinical document platform
Transform clinical documents into structured, trustworthy data.
Avataras Health AI ingests clinical content from real-world healthcare workflows—secure transfers, fax, email, images, diagnostics, and EMR systems—and converts it into clean, analytics-ready data using healthcare-tuned AI.
Input sources
- • Clinical PDF report
- • Pathology image (JPEG)
- • Faxed consult note
- • Email attachment
Processing
Healthcare-tuned AI extracts key clinical concepts, normalizes terminology, and identifies relationships.
Structured output (excerpt)
| Entity | Type | Code |
|---|---|---|
| Colonoscopy | Procedure | CPT 45378 |
| Ulcerative colitis | Diagnosis | ICD-10 K51.90 |
| Mesalamine | Medication | RxNorm 150627 |
Full structured data export available in CSV or JSON.
Sources & Integrations
Ingest Documents From Anywhere
Avataras Health AI ingests clinical content from real-world healthcare workflows—secure transfers, fax & email pipelines, and EMR/EHR systems. Built for environments where documents originate from everywhere.
Secure Transfers
SFTP, FTPS, partner file drops, scheduled ingestion rules.
Fax & Email
Fax-to-PDF, secure mailbox ingestion, attachment extraction, packet grouping.
EMR / EHR Systems
HL7 v2, CCDA, FHIR DocumentReference, DiagnosticReport, and LIS/PACS integrations.
Avataras Health AI Platform
Inside the Platform
Built for accuracy, scale, and automation. Learn how the platform transforms raw documents into structured clinical understanding using a multi-layer architecture.
Document Intake
Automated ingestion from clinical channels and workflows.
Document AI
Healthcare-tuned models extract clinical concepts and normalize terminology.
Clinical Context
Links diagnoses, medications, procedures, labs, and time to build a full clinical picture.
Who it's for
Built for Healthcare & Life Sciences
Purpose-built for organizations dealing with medical documents and clinical content at scale.
Hospitals & Health Systems
Automate clinical documentation review, chart abstraction, and coding preparation using documents you already generate.
Payers & Revenue Cycle
Extract diagnoses, procedures, clinical justification, and supporting information from prior authorization packets and claims attachments.
Diagnostics & Life Sciences
Normalize pathology, lab, imaging, and trial documents into structured data ready for analysis and downstream AI.
Core capability
Document Ingestion — The Foundation of the Platform
The first module of Avataras Health AI is a clinical-grade document ingestion engine. It reads complex medical documents and outputs structured data that your systems and teams can trust.
Handles real clinical content
Supports PDFs, images, faxes, DICOM reports, and email-based packets, including pathology, endoscopy, consult notes, and discharge summaries.
Extracts entities & relationships
Identifies diagnoses, procedures, medications, labs, dates, and body structures and links them together for clear clinical context.
Clean, ready-to-use outputs
Produces structured CSV and JSON outputs aligned with healthcare data models for analytics, data platforms, and workflow engines.
Workflow
How It Works
Step 1
Upload
Send sample documents securely for processing.
Step 2
Extract & Normalize
The platform analyzes content, identifies key medical information, and standardizes it across documents.
Step 3
Review & Validate
Review structured entities, relationships, and outputs in simple tables and exports.
Step 4
Connect to Systems
Export data into your analytics, data warehouse, or workflow systems in your Azure environment.
Roadmap
Built to Grow Beyond Documents
Avataras Health AI is modular...
Payer & Insurance Context
Generate payer-ready summaries...
Prior Authorization Assist
Help teams assemble...
Imaging & Pathology Agents
Align imaging...
Research & Clinical Trials
Extract structured...
See your own documents in action.
Share a non-PHI sample or schedule a secure engagement. We'll show you how Avataras Health AI turns clinical content into trustworthy, structured data.