Nym · raw details

Natural Language Understanding for Automated Healthcare Coding · Tel Aviv-Yafo · Founded 2017

active Series C ← back to profile

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About

Natural Language Understanding for Automated Healthcare Coding

Nym Health is developing an automated coding system based on natural language understanding (NLU). Nyms NLU engine understands the logical relationships between different linguistic components in text, creating a model that captures the true narrative of each patient report. The system automatically assigns the relevant codes (e.g. ICD-10-CM, CPT, etc.) at each step, either validating that the narrative is fully understood or redirecting the record back to a human coder for review. The Nym engine is also able to flag charts that it does not understand rather than risk the introduction of errors. For charts that have been coded, Nyms audit-trail view provides a clear explanation of the reasoning behind the decision to assign a specific code. This allows for a quick understanding of the audit trail for validation, compliance, and appeals basis. The company is working to enable fully automated, efficient, and transparent revenue-cycle management for healthcare providers. It has started with coding, with the goal of eventually leveraging clinical language understanding and enabling new ways of processing clinical data.

Identity

NameNym
Slugnym
Type / kindstartup
Crunchbase IDnymhealth-tel-aviv-israel
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAoKaP1dwLDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressSaadia Gaon Street 24, Tel Aviv-Yafo, Israel

Web & social

Websitehttps://nym.health
Careers pagehttps://nym.health/careers-2
LinkedInhttps://www.linkedin.com/company/28601233
Twitter / Xhttps://twitter.com/NymHealth
Facebookhttps://www.facebook.com/nym.health

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareClinical Workflow
Technologies
Artificial IntelligenceNatural Language Processing
Target customers
Healthcare & Life SciencesHealthcareLaboratoriesInsurance CompaniesProviders
Business models
B2B
Tags
medical-dataartificial-intelligenceemrclinical-datanatural-language-processinginsurance-companiesdigital-healthcarehealthcare-providersactionable-insightshospitalsmachine-learningautomationclinical-workflowsoftware-developmentclinical-trials

Funding

Total raised$94.5M
Current stageSeries C

Raw source document

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