Health System Reduces Costs, Improves Revenue Capture, and Stabilizes DNFB with Autonomous Coding 

The Challenge: Riverland Health* faced inconsistent medical coding quality in its emergency departments (ED) and industry-wide increases in administrative costs.

The Solution: Riverland Health partnered with Nym, deploying Nym’s autonomous medical coding engine in 23 different ED facilities.

*To respect customer privacy, this case study has substituted the fictional “Riverland Health” for the actual organization’s name.

What makes Nym's autonomous medical coding engine different from other solutions?

Unlike other autonomous coding solutions that rely mainly on machine learning (ML), Nym’s engine leverages a combination of proprietary ML models and rules-based clinical and medical coding ontologies. This approach enables Nym to align with each customer’s internal coding guidelines and ensures compliance with the latest coding guidelines form payers and regulatory organizations.

Nym engine is trusted by top provider organizations.

Nym works with leading healthcare providers like Geisigner and Inova 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.

Learn about the ROI that autonomous coding can drive for your organization.

Schedule a demo to learn more about the specialties and coding types currently supported by Nym's engine, how Nym's engine fits seamlessly into existing coding workflows, the countless financial and operational benefits, and much more.