EinMind - Automated Medical Coding with AI
AI & ML interests
EinMind specializes in high-precision, granular medical coding for healthcare. Our technology enables the mapping and conversion of disease names, diagnoses, medical procedures, and adverse events from unstructured data into standardized ontologies and terminologies such as ICD-10, ICD-10-CM, SNOMED CT, and MedDRA. Access is available via API and Python client, with AI models offered both on the cloud and deployable on-premise.
EinMind AI Solutions
Overview
EinMind leverages AI to transform unstructured healthcare data into actionable insights. Their solutions enable high-accuracy medical term standardization, multi-language support, and seamless API integration, ensuring data privacy and full encryption.
Features
- Medical Term Standardization: High accuracy in mapping clinical terms.
- Multi-Language Support: Handles multiple languages for diverse datasets.
- API Integration: Easy integration with existing healthcare systems.
- Data Privacy: Fully encrypted processes to ensure data security.
Applications
- Clinical Documentation: Standardize clinical documents for improved interoperability.
- Ontology Mapping: Map terms to ontologies like SNOMED CT, ICD-10-CM, and RxNorm.
- Data Insights: Transform raw data into meaningful insights for better healthcare outcomes.
Usage
Integrate EinMind solutions through their API to enhance your healthcare data processing capabilities.
import einmind
# Example usage
einmind.initialize(api_key='your_api_key')
# Standardize medical term
standardized_term = einmind.standardize_term('diabetes mellitus')
print(standardized_term)