Clinical Language Understanding Technology
Nym’s innovative clinical language understanding (CLU) technology leverages proprietary machine-learning models and rules-based clinical ontologies to accurately translate clinical data in patient records into a comprehensive narrative of the patient encounter.
Combining our CLU technology with medical coding ontologies, Nym’s autonomous medical coding engine translates provider notes within patient charts into medical codes in seconds with over 95 percent accuracy and absolutely zero human intervention.
Patient Chart
Semantic Representation - Identifying Syntactic Elements and Medical Concepts
Context Extrapolation - Identifying Contextual Elements
Ontological Linking - Linking Medical Concepts to Ontological Entities
Narrative Construction - Putting Together a Comprehensive Clinical Narrative
Medical Codes Assigned to Clinical Narrative
Learn More About Nym's CLU Technology
Download Nym’s latest whitepaper and learn more about Nym’s innovative CLU technology, how it’s leveraged by Nym’s Autonomous Medical Coding Engine, and the benefits of autonomous coding with Nym.
The algorithm that explains its rationale
Nym’s CLU technology and rules-based approach to medical code assignment enable our engine to produce audit-ready, traceable documentation for every code it assigns. These audit trails provide healthcare organizations with a comprehensive, actionable resource that they can use in the event of an audit, denial, or other matter related to compliance.
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