Work Smarter, Let Neurex AI Work Harder
Build a connected, contextual, and AI-ready data platform to get patient longitudinal record
Activate your data estate
Create a real-world view of connected data enriched with contextual information to support enterprise-wide data utilization and transformational decision making.
Democratized data
Create a real-world view of connected data enriched with contextual information to support enterprise-wide data utilization and transformational decision making.
Contextual analytics & AI
With a solid data foundation, build and deploy advanced analytics and trusted AI solutions. Derive actionable insights, and make smarter, informed decisions that drive operational excellence.
Trusted data products
Present a reliable, accurate, and secure data layer to maximize operational efficiency, streamline data access, and foster innovation through the reuse of high-quality, actionable data.
Operational insights
Automate and augment decision-making across multiple use cases. Ensure faster, data-driven actions that improve operational efficiency, reduce risk, and optimize resource allocation.
Open and modular for outcome-driven solutions
Unify data across disparate sources and siloed systems
Data Ingestion: Accelerate and streamline data onboarding from any data source using AI-powered data ingestion.
Entity Recognition: Identify Medical entities and Concepts.
Data Quality & Enrichment: Overcome common data quality issues and improve data reliability and usability.
- Ambient Scribe technology converts live doctor patient conversation to text.
- Vision AI technology converts documents and scanned images into text
Establish a mapping, and connected clinical layer
- Connected data with clinical context: Support and augment both care pathways and billing use cases with an accessible clinical data.
- Trusted data for trusted AI: Build explainable and performant AI with a solid data foundation.
- Activated clinical insights: Activate your patient data across your data source
Put your data to work for enhanced decision making
Contextual Analytics: Run accurate analytics on resolved entities, events, and graphs to uncover insight.
Machine Learning and AI: Empower teams to build, deploy, and operationalize explainable AI and Machine Learning models.
Decision Workflows: Streamline how you support, automate, and augment decisions.
Dynamic Data Exploration: Improve the effectiveness and efficiency of teams with intuitive data exploration, intelligent search and built in visualization.
Unify data across disparate sources and siloed systems
Data Ingestion: Accelerate and streamline data onboarding from any data source using AI-powered data ingestion.
Entity Resolution: Create dynamically updated 360 degree views of customers, counterparties, and suppliers across all your data.
Data Quality & Enrichment: Overcome common data quality issues and improve data reliability and usability.
Graph Generation: Build graphs that represent the entities and their connections to uncover the relationships and insights that matter.
Establish a consistent, and accessible knowledge layer
- Connected data with critical context: Support and augment both operational and analytical use cases with an accessible data estate.
- Trusted data for trusted AI: Build explainable and performant AI with a solid data foundation.
- Activated data and insights: Activate your data across your entire organization with trusted data products.
Put your data to work for enhanced decision making
Contextual Analytics: Run accurate analytics on resolved entities, events, and graphs to uncover insight.
Machine Learning and AI: Empower teams to build, deploy, and operationalize explainable AI and Machine Learning models.
Decision Workflows: Streamline how you support, automate, and augment decisions.
Dynamic Data Exploration: Improve the effectiveness and efficiency of teams with intuitive data exploration, intelligent search and built in visualization.
What makes our platform different
How it works
Clinical Entity Recognition
Extracts clinical entities and concepts from unstructured text using named entity recognition.
Identifying Assertion and Negation
Identifies and discerns the presence, absence, or potentiality of clinical concepts.
Establishing Relations
Reveals relationships and associations between clinical concepts across the text. Establishes interconnections among clinical entities throughout the content.
Establishing Timeline
Extracts temporal information linked to the identified clinical concepts. Identifies and analyzes time-related aspects associated with clinical entities.
Structuring Clinical Narrative
Identifies and categorizes sections within the clinical narrative to provide context and structure to extracted entities. Segments the clinical narrative to contextualize and organize identified clinical entities effectively.
Establishing Clinical Concept
Systematically aligns clinical concepts with Neurex AI Health terms and relevant standardized codes.
Complete coding coverage
Seamless Integration
Leverage as a SaaS platform or integrate through API into your local or cloud infrastructure to efficiently extract and standardize clinical data at scale.
