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Navina
Transform fragmented patient data into actionable insights at the point of care for clinicians and healthcare teams focusing on value-based care success.
About Navina
Navina is an AI-powered clinical copilot designed to assist healthcare providers in navigating the complexities of value-based care. By aggregating fragmented patient data from multiple sources—including electronic health records (EHRs), unstructured documents, and lab results—the platform creates a unified, clinician-first view. The primary goal is to surface actionable insights during patient encounters, ensuring that care teams have a comprehensive understanding of a medical history and potential gaps in care without having to manually sift through hundreds of pages of documentation. The core technology utilizes explainable AI to reconcile unstructured data into a single source of truth. Unlike traditional ambient documentation tools that may miss critical context, Navina focuses on providing evidence-backed clinical insights. Key products include a Clinician Copilot for real-time guidance, specialized tools for Risk Adjustment to ensure accurate HCC coding, and Quality Management modules to help improve HEDIS scores. It integrates natively into major EHR systems like Epic, athenahealth, and Veradigm, allowing it to function as a seamless layer within the existing provider workflow. This platform is specifically tailored for clinicians, care teams, and healthcare administrators operating within value-based care models. It is particularly beneficial for primary care groups and large health systems that need to manage risk adjustment and quality performance metrics efficiently. By automating the data synthesis process, Navina helps reduce the administrative burden on physicians, allowing them to focus more on direct patient interaction while maintaining high standards of documentation and clinical accuracy. What distinguishes Navina from other clinical documentation tools is its emphasis on transparency and trust. Every insight generated by the AI is accompanied by the specific clinical evidence that triggered it, effectively mitigating the "black box" nature of typical AI solutions. Furthermore, its recognition by industry bodies—including Best in KLAS for Clinician Digital Workflow and multiple MedTech awards—highlights its specialized efficacy in the intersection of artificial intelligence and value-based healthcare delivery.
Navina pros & cons
Pros
- Winner of the 2025 Best in KLAS for Clinician Digital Workflow.
- Provides explainable AI with direct clinical evidence for every insight surfaced.
- Integrates natively with major EHRs like Epic, athenahealth, and Veradigm.
- Consolidates fragmented data from multiple sources into a single source of truth.
- Specifically optimized for complex value-based care and risk adjustment workflows.
Cons
- Pricing information is not publicly available and requires a custom strategy call.
- Highly specialized for value-based care and may not suit traditional fee-for-service models.
- Effectiveness is dependent on integration with existing clinical and EHR workflows.
Navina use cases
- Primary care physicians can use the Clinician Copilot to quickly synthesize comprehensive patient histories during time-constrained encounters.
- Quality management teams can identify and close gaps in care to improve organizational HEDIS scores and overall star ratings.
- Risk adjustment specialists can automate the discovery of HCC coding opportunities to ensure accurate documentation and reimbursement.
- Care teams at large health systems can use the unified data view to coordinate care for patients with complex, multi-source medical histories.
Navina features
- quality management
- hedis performance optimization
- point-of-care analytics
- explainable ai clinical evidence
- unstructured data reconciliation
- ehr native integration
- risk adjustment
- clinician copilot
Navina FAQs
How does Navina handle unstructured patient data?
Navina uses AI to reconcile unstructured data from multiple fragmented sources into a single source of truth at the point of care. This allows care teams to access a complete patient history without manual searching.
Which EHR systems does Navina integrate with?
The platform provides seamless native integration with leading EHR systems, including Epic, athenahealth, and Veradigm. This ensures that AI insights are available directly within the existing clinical workflow.
What is explainable AI in the context of Navina?
Navina utilizes explainable AI to provide specific clinical evidence for every insight it surfaces. This transparency allows clinicians to verify the data and trust the recommendations provided by the tool.
How does Navina assist with value-based care success?
The tool transforms complex data into actionable insights for risk adjustment, quality management, and analytics. It helps clinicians deliver proactive care and accurately document patient health status.
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