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.
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.
