Avataras Health AI Platform
A unified platform for clinical document intelligence.
Avataras Health AI is a cloud-hosted platform that ingests clinical documents from real-world healthcare workflows and transforms them into structured, trustworthy data ready for automation, analytics, and AI agents.
Platform Overview
Layered architecture designed for healthcare
The platform is built from modular layers that work together: document intake, document AI, clinical context, output & integration, AI agent orchestration, and security & governance. Each layer can be adopted incrementally or integrated deeply into your existing ecosystem.
Document Intake Layer
Multi-channel ingestion across upload, secure transfer, fax, email, and EMR systems.
Document AI Layer
Healthcare-tuned models extract and normalize clinical concepts from unstructured content.
Clinical Context Layer
Links diagnoses, procedures, medications, labs, and time to build a coherent clinical story.
1 · Document Intake Layer
Bring documents from anywhere — cloud, on-prem, or hybrid.
Avataras Health AI connects to the workflows where clinical documents actually originate: uploads, file transfers, fax services, email, EMR exports, and diagnostic systems. The intake layer supports both batch and near-real-time operations.
- • Direct file upload (PDF, images, multi-page TIFF, office docs)
- • Secure transfers via SFTP, FTPS, and partner folder drops
- • Fax-to-PDF pipelines with packet detection and normalization
- • Inbound email processing with attachment and body parsing
- • EMR/EHR outputs via HL7, CCDA, and FHIR document patterns
- • Diagnostic systems including pathology, radiology, and lab workflows
Example intake configuration
- • Watch SFTP folder for nightly claims attachments
- • Process inbound fax PDFs for prior authorization packets
- • Monitor secure mailbox for consult notes and external reports
- • Periodic import of EMR-generated clinical summaries
Each ingestion run is tagged, traceable, and linked to its output dataset for downstream audit and review.
2 · Document AI Layer
Healthcare-tuned AI for clinical document understanding.
Once documents are ingested, Avataras applies advanced document understanding and clinical NLP to interpret content across formats and specialties.
- • Document parsing and normalization for mixed-format packets
- • OCR for scanned PDFs and fax images
- • Extraction of diagnoses, procedures, medications, labs, findings, and more
- • Identification of symptoms, risk factors, and clinical impressions
- • Recognition of dates, times, providers, and encounter context
- • Domain-specific terminology normalization and consolidation
From text to concepts
Instead of raw text, downstream systems receive a structured set of clinical concepts that can be filtered, aggregated, and linked to patient or claim workflows.
This layer is optimized for medical language and is continuously improving with new specialties and document types.
3 · Clinical Context Layer
Connect entities into a clear clinical story.
Healthcare decisions rely on context: which diagnosis drove which procedure, which medications support which condition, and which labs justify a particular course of care. Avataras builds this context automatically.
- • Links diagnoses, procedures, medications, and labs into relationships
- • Identifies which documents support key clinical events
- • Reconstructs timelines from scattered documentation
- • Highlights clinical justification relevant to review workflows
- • Supports payer, provider, and diagnostic review scenarios
Optional insurance-oriented context
When needed, the platform can surface insurance-focused context: primary procedures, supporting diagnoses, key labs, and narrative justification for utilization review and prior authorization.
This reduces the time reviewers spend searching for the right evidence across multi-document packets.
4 · Output & Integration Layer
Structured data your systems can actually use.
Once clinical concepts and context are assembled, Avataras delivers deterministic, traceable outputs designed for interoperability with your data and workflow platforms.
- • Entities and relationships exported as CSV files
- • Rich JSON representations for deeper integrations
- • Delivery to secure cloud storage locations
- • Integration with analytics platforms and data warehouses
- • Connectivity to workflow, case management, or review tools
- • Alignment with healthcare data models and standards
Example export pattern
A single ingestion run can output a clean entities table, a relationships table, and a context summary per document packet, all linked by consistent identifiers and ready for downstream joins.
This makes it straightforward to plug Avataras into existing analytics, operational reporting, and AI pipelines.
5 · AI Agent Orchestration Layer
Extend automation with specialized healthcare agents.
With structured clinical data in place, Avataras enables multi-step, multi-agent workflows that automate complex document tasks across payer, provider, diagnostic, and research use cases.
- • Prior authorization packet review and summarization
- • Claims attachment interpretation and routing
- • Clinical documentation and chart abstraction support
- • Coding and documentation improvement assistance
- • Diagnostic and pathology narrative interpretation
- • Research and clinical trial document ingestion
Modular and extensible
New agents can be added over time without disrupting existing workflows, allowing organizations to expand automation gradually as comfort and value grow.
6 · Security & Governance Layer
Designed for healthcare-grade security and compliance.
The platform is built with the security expectations of healthcare organizations in mind, with controls that support HIPAA-aligned deployments and enterprise governance.
- • Cloud-hosted, encryption in transit and at rest
- • Role-based access control for users and integrations
- • Detailed logging and run-level traceability
- • Configurable retention, with zero-retention options for demos
- • Clear separation of environments for testing and production
Safe evaluation and rollout
Organizations can start with non-sensitive sample documents and controlled pilots, then expand into production use cases with appropriate safeguards and governance.
Avataras is designed to fit into your existing security and compliance frameworks rather than replace them.
See the platform with your own documents.
Share sample (non-sensitive) clinical content or walk through a guided demo. We'll show how Avataras Health AI ingests, interprets, and structures your real-world document workflows.