Built on years of coding-specific AI, Nym translates clinical documentation into accurate, compliant codes in seconds and routes successfully coded encounters directly to billing, with a complete audit trail behind every coding decision.
AI should do more than assist the coding workflow. Nym handles routine coding volume autonomously, giving teams the accuracy, explainability, and control to automate coding at scale.
See how autonomous coding is changing the role of AI, coding expertise, and health information management inside leading health systems.
Nym codes eligible encounters autonomously, fitting seamlessly into the existing revenue cycle workflow. Successfully coded encounters move directly to billing without human review. Encounters that are missing information or require additional judgment are routed to coders.
Nym’s Clinical Language Understanding (CLU) technology combines machine learning with rules-based clinical ontologies built specifically for medical coding. It interprets clinical context, applies coding standards, and creates a traceable rationale behind every code assigned. This is what differentiates Nym from general-purpose AI applied to healthcare.
Misty Hamilton
Interim Director, Health Information Management
Dr. Melissa Koehler
AVP of Health Information Management, Inova
Vicki Kaplan
Vice President, Coding and HIM, Ochsner Health
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Kacie Geretz, RHIA, CPC, breaks down 7 questions to help you decide if waiting for your EHR’s autonomous coding solution is the right move for your organization.
