Navina offers an AI-driven platform that consolidates unstructured patient data into actionable insights, enabling clinicians to efficiently review patient records and optimize care during visits. This technology addresses the challenge of fragmented data by providing a single source of truth, enhancing diagnostic accuracy and improving value-based care workflows.
Funding
$45M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Clinicians face challenges in efficiently reviewing patient records due to fragmented and unstructured data scattered across multiple sources. This makes it difficult to gain a comprehensive understanding of a patient's health history, leading to inefficiencies in diagnosis and care optimization.
Solution
Navina offers an AI platform that consolidates unstructured patient data from various sources into a unified, actionable clinical summary. The platform uses AI algorithms to identify relevant patient information, present clinical evidence, and provide insights at the point of care. By streamlining chart reviews and providing a single source of truth, Navina enables clinicians to optimize patient encounters, improve diagnostic accuracy, and enhance value-based care workflows. The platform integrates natively into existing clinical workflows, providing an intuitive user experience and facilitating efficient access to critical patient data.
Target Audience
Navina is designed for clinicians and care teams in value-based care organizations, including primary care physicians, specialists, and quality managers.
Features
- AI-powered consolidation of unstructured data from multiple sources into a single patient summary
- Clinical insights and evidence presented at the point of care
- HCC (Hierarchical Condition Category) recommendations to improve RAF (Risk Adjustment Factor) accuracy
- Identification of care gaps based on clinical evidence
- Automated identification of patient exclusions for quality measure improvement
- Analytics dashboard to track risk adjustment and quality performance
- Integration with existing EHR (Electronic Health Record) systems
- Explainable AI that provides clinical evidence for every insight