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Navina

navina.ai

Navina is an artificial intelligence assistant designed specifically for clinicians and healthcare providers navigating the complexities of value-based care. By integrating into existing clinical workflows, the platform aims to reduce …

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navina.ai Live
Visits
40
Listed since
May 20, 2026
Audience
Best for: Primary Care Physicians, ACO …
Pricing
Paid

About Navina

TL;DR

Navina is an artificial intelligence assistant designed specifically for clinicians and healthcare providers navigating the complexities of value-based care. By integrating into existing clinical workflows, the platform aims to reduce …

Navina is an artificial intelligence assistant designed specifically for clinicians and healthcare providers navigating the complexities of value-based care. By integrating into existing clinical workflows, the platform aims to reduce the heavy administrative burden often associated with medical documentation and patient chart reviews. It automatically synthesizes unstructured medical data, patient histories, and clinical notes into actionable, structured insights. This allows healthcare professionals to quickly capture a complete picture of a patient's health status at the point of care, ensuring more accurate documentation and better-informed clinical decisions. Ultimately, the tool helps medical practices optimize their clinical workflows, improve patient outcomes, and reduce physician burnout by minimizing the time spent on manual data entry and record retrieval. By streamlining these administrative tasks, clinicians can focus more of their attention on direct patient interaction and high-quality care delivery.

Use Cases

Real-world scenarios where Navina saves time.

Use Case 1: Clinical Chart Synthesis

Problem: Doctors spend too much time reviewing chaotic patient history logs before visits.
Solution: Consolidates unstructured histories into one structured, clinical dashboard.
Example: A physician understands a patient's complex decade-long history in two minutes.

Use Case 2: Precise Care Gap Closing

Problem: Providers miss preventative care checks due to fragmented patient data.
Solution: Identifies missing diagnostic tests and suggests care opportunities automatically.
Example: The copilot alerts an internist that a diabetic patient's eye check is overdue.

Use Case 3: Risk Adjustment Accuracy

Problem: Inaccurate medical coding leads to compliance penalties and revenue loss.
Solution: Scans documents to suggest accurate, clinically-supported diagnostic codes.
Example: A clinic captures appropriate risk adjustment scores by verifying histories.

Key Features

What you get out of the box.

  • Clinician-centric dashboard layout
  • Care check tracking analyzer
  • Code validation recommendation tool
  • Direct EHR database integrations
  • Executive healthcare analytic widgets

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