The Revenue Cycle Leader's Guide to Autonomous Medical Coding

Accelerate revenue and improve financial metrics by innovating medical coding.

This practical guide explores how autonomous medical coding solutions effectively solve the challenges faced by revenue cycle departments and addresses other critical considerations, including workflow integration, coding scope, and specialty-specific automation rates.

New to autonomous medical coding? Here's the high-level breakdown...

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.

What ROI can you expect from implementing autonomous medical coding?

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.

See Nym’s Engine in action...

Get in touch with a member of Nym's team and discover the impact that autonomous medical coding can drive for your organization!