Turn Inbound Medical Faxes into EMR-Ready Documents

Intelligent Inbox captures incoming documents, classifies them by patient and document type, flags exceptions, and gives teams a controlled review workflow before submission back to the EMR.

97%

Document sorting accuracy

25h→5m

Weekly to daily

100%

Audit trail coverage

How It Works

Five Steps from Fax to Filed

1

Ingest Documents

Pull faxes from connected sources — OncoEMR, Intellifax, Dropbox, S3, and custom integrations.

2

Store & Process

Source PDFs and metadata are stored securely. OCR extracts text for downstream analysis.

3

Classify & Categorize

AI analyzes each page, identifies categories, subcategories, patient signals, and visit dates using your organization's rules.

4

Review & Resolve

Staff review AI results, verify patient matches, resolve flags for missing or ambiguous data, and approve documents.

5

Submit or Route

Approved documents are submitted to EMR systems or routed to downstream workflows automatically.

Without Intelligent Inbox

  • 25+ hours per week sorting faxes manually
  • Documents lost or misfiled in patient records
  • No visibility into processing backlog
  • Inconsistent naming across staff members
  • No audit trail for document handling

With Intelligent Inbox

  • 5 minutes per day reviewing exceptions
  • 97% accurate document classification
  • Real-time dashboard shows queue state
  • Organization-specific naming rules enforced
  • Complete audit trail for every document
Capabilities

A Complete Document Operations Platform

More than just a viewer — Intelligent Inbox is a configurable document operations system that adapts to each organization's intake sources and downstream clinical systems.

📥

Multi-Source Intake

OncoEMR, Intellifax, Dropbox, S3, and custom integrations. All sources feed one consistent workflow.

🤖

AI Classification

Page-level analysis with LLM-backed categorization. Extracts patients, dates, and document signals.

📐

Custom Rules

Configure categories, subcategories, naming patterns, keywords, and notification behavior per organization.

👤

Patient Matching

Extracted patient candidates reconciled against organization records. Missing or ambiguous matches flagged.

🚩

Exception Flags

Missing patients, multiple matches, page limits, classification errors — all become trackable work.

✏️

Review Workspace

Side-by-side PDF and classification output. Override categories, names, patients, and dates before submission.

📊

Operations Dashboard

Volume, backlog, exceptions, submissions, and daily activity in real time.

🔐

Audit & Security

Role-based access, 2FA, encrypted credentials, organization-scoped data, and full audit logging.

Integrations

Connects to Your Clinical Systems

Connect intake and submission workflows across your existing infrastructure.

🏥

OncoEMR

Retrieval & submission automation

🔗

eClinicalWorks / CHCI

HL7 inbound & outbound messaging

📁

S3 & File Sources

Dropbox, S3, Intellifax

Case Study

Gabrail Cancer Center

See how Gabrail Cancer Center transformed their document intake from 25 hours per week to 5 minutes per day with 97% accuracy using Intelligent Inbox.

97%

Accuracy

25h→5m

Time saved

0

Missed docs