Arizona State Urological Institute
Document processing
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
- Accuracy rating increase from 88% to ~98%
Staff manually keyed data from handwritten faxes. AI now extracts and routes records to charts, saving 20% of staff time.
A digital health platform serving thousands of healthcare professionals, from small local clinics to enterprise organizations, across the United States.
Practices relied on fax machines and handwritten notes, forcing staff to manually review unstructured data with a high margin of error. This manual...
“So much of what we do in the healthcare industry is constrained by the way we share medical records. Unstructured data creates a lot of additional work for patients, providers, and everyone in between. Our solution transforms communication from a pain point into an advantage.”
AI-powered medical fax and referral automation platform for healthcare practices.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Staff manually keyed 15,700 fax pages a month. AI now extracts the data, letting the team validate records rather than type.
Self-hosting GPUs capped training at weekly runs. A serverless shift cut costs 3x and enabled daily iteration for 87% accuracy.
Staff sifted through docs across 40 apps to find answers. Now, an AI agent provides instant guidance, cutting research time to seconds.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Manual segmentation took 20 minutes, delaying care. AI now analyzes hemorrhages in seconds, aiding decisions across 23 regional sites.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.