Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
A healthcare AI startup spun out of Mass General Brigham processes 300,000 patient encounters daily for health systems representing over $180 billion in net patient revenue.
Medical coding requires selecting accurate billing codes from 100,000 evolving options based on inconsistent doctor notes, where errors cause...
“Traditional approaches to augment coder workflow won’t address the scale and quality issues faced by health systems. What they need is a platform that can act autonomously to take a case from the end of the clinical workflow through to submitting a claim to a payer. You send us your encounters, and not only do we make predictions on what the ICD (International Classification of Diseases) and CPT (Current Procedural Terminology) codes should be, but we actually send them straight to billing.”
AI-powered medical coding and revenue cycle automation for health systems.
Manual segmentation took 20 minutes, delaying care. AI now analyzes hemorrhages in seconds, aiding decisions across 23 regional sites.
Manual documentation bogged down 2.5M repairs. GenAI now summarizes history, helping new techs apply decades of expert knowledge instantly.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.