Navina

Categories: Healthcare, Data Analysis, Productivity | Pricing: Enterprise | Official Website ↗

Navina provides clinicians with AI-powered insights from fragmented patient data to improve value-based care workflows and patient outcomes.

Navina provides clinicians with AI-powered insights from fragmented patient data to improve value-based care workflows and patient outcomes. It turns complex, fragmented data into actionable insights, transforming value-based workflows from the back office to the point-of-care. Navina's platform offers a clinician copilot that alleviates administrative burden throughout the entire 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. The tool also enables accurate risk adjustment by capturing a complete picture of patients' health status with AI-powered HCC recommendations at the point of care, improving RAF accuracy and audit-readiness. Furthermore, Navina streamlines quality management by automatically surfacing the clinical evidence required to support care gap closure, resulting in improved HEDIS® satisfaction rates. The platform also includes robust analytics to track risk adjustment and quality performance over time, providing full visibility into usage and performance metrics to align care teams with clinical and value-based care objectives.

Key Features

Reconciles unstructured data from multiple sources into a single source of truth
Provides explainable AI with clinical evidence for every insight
Integrates natively into clinical workflows
Offers a clinician copilot to alleviate administrative burden
Enables accurate risk adjustment with AI-powered HCC recommendations
Streamlines quality management by surfacing clinical evidence for care gap closure
Provides robust analytics to track risk adjustment and quality performance
Supports over 600 AI algorithms for primary care

Pros

Reduces administrative burden for clinicians
Improves accuracy of diagnosis and documentation
Enhances patient care by providing comprehensive insights
Increases efficiency in managing care gaps
Provides transparency with explainable AI
High clinician adoption and engagement
Supports value-based care objectives
Integrates with existing EMR systems

Cons

Pricing information is not publicly available
Requires integration into existing healthcare systems
Specific implementation timeframes are not mentioned
Relies on the quality and completeness of existing patient data

Use Cases

Streamlining clinical workflows
Improving diagnostic accuracy
Optimizing risk adjustment coding
Closing care gaps
Tracking value-based care metrics
Enhancing patient visit summaries
Automating documentation
Analyzing clinical performance

Best For

Primary care clinicians
Care teams
Accountable Care Organizations (ACOs)
Managed Service Organizations (MSOs)
Health plans

Integrations: EMR systems

Platforms: web

Watch demo on YouTube ↗

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