AI case study

Arizona State Urological InstituteDocument processing

Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.

Published|3 months ago

Key results

Accuracy Rating
~98%

Result highlights

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The story

Context

A busy urological medical practice processes 15,700 pages of faxed documents every month.

Challenge

Manual data entry for this high volume created a significant operational burden and quality control issues. The existing process yielded an accuracy...

Solution
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Quotes

The company

Arizona State Urological Institute logo

Arizona State Urological Institute

asui.org

Comprehensive urological clinical services and patient care in Arizona.

IndustryHealthcare Providers
LocationGilbert, AZ, USA
Employees11-50
Founded2012

The AI provider

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

The implementation partner

Leapfrog Technology logo

Leapfrog Technology

lftechnology.com

Helped ASUI automate fax processing and data entry using its Addy platform and Amazon Bedrock.

IndustryTechnology
LocationBellevue, WA, USA
Employees251-1K
Founded2010

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