Case Study: UCSF Health automates 1.4M faxed documents a year with H2O Document AI

UCSF Health automates 1.4M faxed documents a year with H2O.ai

UCSF Health, a leading academic health system, faced the challenge of manually processing over 1.4 million faxed documents annually, a labor-intensive task equivalent to the work of more than 100 full-time employees. To automate this document intake for referrals, lab results, and other forms, they partnered with H2O.ai and implemented its H2O Document AI product.

The solution from H2O.ai used Intelligent Character Recognition and natural language processing to automatically classify document pages and extract relevant information, handling semi-structured faxes that traditional methods could not. This implementation saved over 25,000 hours of access-center staff time and 5,000 hours of clinician time annually, which was redirected to improving patient care and absorbing growing referral volumes.

UCSF Health