The Leader in Autonomous Medical Coding

Trusted by Leading Health Systems, Hospitals, and Physician Groups

Nym works with the top provider organizations in the country and consistently exceeds industry benchmarks when it comes to customer satisfaction and loyalty. In a KLAS Research Emerging Solutions Spotlight report on Nym’s solution, 100 percent of Nym’s customers commented that they would purchase the 
software again.

Autonomous Medical Coding that Delivers True ROI

Nym’s autonomous medical coding engine accurately assigns medical codes to patient encounters in seconds and with zero human intervention. This enables hospitals, health systems, and physician groups to increase financial performance, optimize operational efficiency, and improve compliance, ultimately enabling providers to focus more time on patient care.

Reduce Medical 
Coding Costs

Accelerate Payment 
Cycles

Improve Revenue 
Capture

Support Medical 
Coding Teams

CASE STUDY

Transforming Emergency Department Medical Coding at Inova

Discover how Inova, the leading health system in Northern Virginia, leveraged autonomous medical coding to eliminate staffing challenges, expensive coding practices, and delayed payment cycles across multiple emergency department (ED) facilities.
Inova case study quote

Fully-Traceable Audit Trails 
to Support Compliance Initiatives

Nym’s engine produces fully traceable audit trails for every successfully-coded patient encounter. These audit trails include supporting documentation associated with each code assigned, links to the guidelines referenced by the engine during code selection, and more, providing our customers with an actionable resource that they can use in the event of an audit, denial, or other compliance initiative.

Nym’s Autonomous Medical Coding Engine versus Computer-assisted Coding

Nym’s Engine

Computer-assisted coding

Requires zero human intervention to code charts

Designed as a tool to help human coders with their work

No staff training required

Requires special training for staff

Needs only physician notes

Needs additional structured data from physicians

Provides audit-ready, traceable documentation for every code 
it generates

Offers none to little help in understanding why the chart was coded the way it was

Flexible and scalable

Does not alleviate coding 
scalability constraints