Overcoming Manual Fax Challenges with

Advanced AI-Driven Intelligent Processing

In this guide, learn how your solution can revolutionize the way faxed documents are processed, enabling healthcare organizations to streamline their workflows, enhance data accuracy, and maximize resource utilization.

THE PROBLEM

with Manual Fax Processing

Each year, 1.2 BILLION Clinical Documents are produced in the U.S. ​

This data explosion is GROWING at a rate of 48% per year.​

Faxed clinical documents are the largest source of unstructured data in healthcare.​

All these faxed clinical documents need to be processed. ​

Manually.

WALKING THROUGH THE MANUAL PROCESS

1. Inbound Fax Routing

Clinical Documents are continuously faxed from your network of healthcare providers.

Received faxes are then routed to different inboxes based on the number that was dialed.

2. Triage and Preprocessing

First, they select the oldest fax from the inbox.

Next, they begin cleaning up the fax.

3. Manual Processing

With a clean Clinical Document, the staff member finally begins processing the received clinical document.

4. Exception Handling

 What happens when something goes wrong?

More work needs to be done.

THE SOLUTION:

Advantage Intelligent
Fax Processing

LEVERAGING INTELLIGENT FAX PROCESSING

1. Inbound Fax Delivery with RightFax

Clinical Documents are continuously faxed from your network of healthcare providers.

Received faxes are routed to a folder to initiate Advantage Intelligent Fax Processing.

2. Inbound Document Image Processing

Automated procedures clean, rotate and OCR received documents

Multiple OCR engines, like Google Cloud Vision, analyze all text, including handwritten information on received faxes, for automatic analysis by our AI-powered processing engine.

3. AI-Driven Document Type Classification

The AI Classification Engine analyzes faxes to identify document types based on structure, keywords, and indicators. It can also split multiple documents within a single fax transmission for independent processing.

Classification allows the system to apply the appropriate extraction, processing and delivery rules

4. Patient Information Extraction

The AI Engine identifies and extracts important patient information.

This information will be validated later by a person and used to automatically deliver the document to the EMR or Practice Management System.

5. Human Validation

To ensure accurate association of incoming clinical documents with patient records, a person should review the data prior to final delivery to the EMR.

An intuitive interface allows staff to quickly review batches of documents and resolve any exceptions prior to releasing the batch for automated delivery.

6. Automated Delivery

Using industry standards, such as HL7 FHIR, the clinical document is delivered to the EMR system

Experience the Difference:
Advantage Intelligent Fax Processing