UCSF Health used H2O Document AI to automate processing of more than 1.4 million faxed documents a year.

UCSF staff manually sorted incoming faxes and keyed data into the EHR, work equal to over 100 full-time staff. With H2O.ai it built Intake Automation on H2O Document AI, which classifies e-faxes and processes referrals, refills, DME requests and lab results. The page reports 25,000+ hours saved for access centre staff and 5,000 hours of clinician time.

H2O.ai is a machine learning and document AI vendor, used by health systems and pharma for prediction and automating faxed and referral documents

This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.