Case Study: Arizona State Urological Institute achieves faster patient referral processing with Leapfrog Technology

Arizona State Urological Institute cuts referral processing time by 86% with Leapfrog Technology

Arizona State Urological Institute (ASUI) faced severe operational bottlenecks due to its reliance on manual, fax-based patient referral processing. A single staff member was spending up to eight hours per week parsing hundreds of faxes, which increased the risk of errors and delayed care for urgent urological cases. To resolve this, ASUI partnered with Leapfrog Technology to build an automated solution.

Leapfrog Technology designed and deployed Addy, an AI-powered pipeline built on AWS. The solution uses Amazon Textract and Amazon Bedrock to automatically ingest faxes, extract critical patient data with over 98% accuracy, and populate the clinic's EMR system. This reduced referral processing time by 86%, cutting it from 30 minutes to just 2-5 minutes per case and liberating nearly 1,900 administrative hours annually for the staff to refocus on patient care.

Arizona State Urological Institute (asui)