Navina
Clinician-first AI copilot that turns fragmented healthcare data into actionable insights for value-based care
Informações da ferramenta
O que é Navina?
Navina is a clinician-first AI copilot that empowers clinicians and care teams with AI-driven clinical workflows. It simplifies documentation, minimizes administrative burden, reconciles complex fragmented data into a single source of truth at the point of care, and improves outcomes across value-based care workflows including documentation, risk adjustment, quality management, and analytics.
Recursos principais
Clinician Copilot
Alleviates administrative burden throughout the clinical workflow by combining historical data and ambient transcription to inform care at every step, from chart review and patient visit summaries to accurate diagnosis and complete documentation. Recognized as Best in KLAS clinician copilot.
Risk Adjustment
Captures a complete picture of patients' health status with AI-powered HCC recommendations at the point of care to improve RAF accuracy and audit-readiness with seamless workflows for clinicians and coders.
Quality Management
Automatically surfaces the clinical evidence required to support care gap closure without hours of data mining, resulting in improved HEDIS satisfaction rates.
Analytics
Tracks risk adjustment and quality performance over time and provides full visibility into usage and performance metrics to keep care teams aligned with clinical and value-based care objectives.
Explainable AI Engine
Reconciles unstructured data from multiple sources into a single source of truth at the point of care and provides clinical evidence for every insight surfaced, with native integration into the clinical workflow.
Casos de uso
- #1
Streamlining clinical documentation and point-of-care workflows
Supports clinicians from chart review through patient visit summaries, accurate diagnosis, and complete documentation using historical data and ambient transcription.
- #2
Accurate risk adjustment and RAF improvement
Delivers AI-powered HCC recommendations at the point of care to capture complete patient health status, improve RAF accuracy, and support audit-readiness for clinicians and coders.
- #3
Care gap closure and quality measure management
Surfaces clinical evidence automatically to close care gaps and improve HEDIS measure satisfaction rates without extensive data mining.
- #4
Value-based care performance tracking
Monitors risk adjustment, quality metrics, usage, and performance over time to align care teams with clinical and value-based objectives.
Alternativas
Perguntas frequentes
What is Navina?
Who is Navina designed for?
How does the Clinician Copilot feature work?
How does Navina support risk adjustment?
Does Navina integrate with existing systems?
What is Navina's Explainable AI Engine?
Navina Contato e mídias sociais
- Endereço413 W 14th St, Suite 200, New York, NY, 10014, US
- E-mail de suporte
- Suporte
- Site:
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