Nym

Natural Language Understanding for Automated Healthcare Coding

Health Tech & Life Sciences
Active
Series C Tel Aviv-Yafo Founded 2017
Total raised
$94.5M
Last: Series C 2024-10
Stage
Series C
Founded
2017
Headcount
274
HQ
Tel Aviv-Yafo
Sector
Health Tech & Life Sciences

About

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.

Funding history · 4 rounds · $94.5M total

2024-10
Series C $47.0M
2021-07
Series B $25.0M
2020-10
Series A $16.5M
2019-06
Seed $6.0M

Sectors & technology

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 model
B2B

Highlights

Verified

Tags

medical-dataartificial-intelligenceemrclinical-datanatural-language-processinginsurance-companiesdigital-healthcarehealthcare-providersactionable-insightshospitalsmachine-learningautomationclinical-workflowsoftware-developmentclinical-trials