Navina is a clinical AI copilot for value-based care (VBC) settings, positioned as a "clinician-first" AI assistant that helps healthcare organizations improve efficiency and performance under the value-based care model.
Purpose Navina primarily serves the clinical and operational needs of value-based care organizations, including improving HCC risk adjustment accuracy, closing care gaps, and reducing documentation burden. It addresses the complete value-based care workflow from back-office operations to the point of care, helping clinicians and care teams turn complex, fragmented data into actionable insights.
Key capabilities
- Data integration and unified view: It coordinates data from multiple sources and unstructured data, such as electronic health records (EHRs), health information exchanges (HIEs), and claims, into a single source of truth at the point of care.
- Explainable AI: For every insight presented by the platform, it provides corresponding clinical evidence to help clinicians build trust in the system.
- Risk adjustment: It provides AI-driven HCC suggestions at the point of care to help fully reflect patient health status, improve RAF accuracy, and enhance audit readiness, while providing a smooth workflow for clinicians and coders.
- Quality management: It automatically presents the clinical evidence needed at the point of care to support care gap closure, reducing manual data mining and helping improve HEDIS® satisfaction.
- Analytics and tracking: It continuously tracks risk adjustment and quality performance and provides visualization of usage and performance metrics to help care teams align with clinical and value-based care goals.
- Clinical workflow support: It combines historical data with ambient transcription, covering every step from chart review and patient visit summaries to accurate diagnosis and complete documentation.
How it is used Navina emphasizes native integration with clinical workflows and provides seamless integration with EHRs. Official information shows that its data can be pulled from EHRs, HIEs, and claims systems and presented at the point of care. The platform is described as a unified platform covering the entire value-based care workflow. Regarding specific installation, deployment steps, pricing, or subscription methods, the available information does not currently provide them.
Use cases It is suitable for healthcare organizations and care teams that adopt the value-based care model and need to manage risk adjustment and quality metrics. Typical use cases include: obtaining integrated patient data during patient visits, viewing HCC suggestions supported by clinical evidence, identifying and closing care gaps, reducing the burden of chart review and documentation, and tracking long-term risk adjustment and quality performance.
Limitations and missing information The available information does notprovide specific fees, pricing, platform support scope (such as operating system or browser requirements), deployment methods, data security compliance details, language support, API documentation, or usage restrictions. Official information states that it was named the 2025 KLAS Best Clinician Digital Workflow and is used by 10,000+ clinicians, but does not provide a more detailed statistical basis. Specific feature details and integration requirements should be based on official channels.