Download Nym's guide to learn how autonomous coding solves pressing challenges faced by revenue integrity teams and address other critical considerations , including workflow integration, coding scope, and specialty-specific automation rates.
Autonomous medical coding solutions leverage deep learning, natural language processing/rules-based techniques, or a hybrid approach (which combines deep learning with NLP and rules-based) to translate patient records into medical codes in seconds with zero human intervention.
A major step forward from human coders and computer-assisted coding (CAC), autonomous coding solutions improve coding efficiency, reduce operating costs, and accelerate revenue cycle management timelines while maintaining exceptional accuracy.
Meet Inova, the leading health system in Northern Virginia. Inova implemented Nym's autonomous medical coding engine for emergency department (ED) facility coding after struggling with medical coder staffing shortages and increasing emergency department patient volumes.
One year since deploying Nym's engine, Inova has completely transformed medical coding in its ED facilities.
10% increase in average charges per ED encounter
50% decrease in weekly revenue sitting in ED DNFB
$500K+ reduction in annual ED medical coding costs
Eliminated mandatory OT and limited PTO for medical coders