Navina

by Navina  · Based in United States → — The Clinician-First AI Copilot for Value-Based Success
Family Medicine Geriatrics Internal Medicine

Custom pricing
Regulatory Status Disclosed

Overview

Navina is an AI-powered clinical intelligence platform designed as a clinician-first AI copilot for value-based care. It synthesizes complex, fragmented patient data from multiple sources, including Electronic Health Records (EHRs), Health Information Exchanges (HIEs), claims, and care gap files, into actionable insights. The platform aims to elevate every patient interaction by transforming value-based workflows from the back office to the point-of-care, providing a single source of truth. Navina’s superior, explainable AI offers clinical evidence for every insight surfaced, fostering trust among clinicians. Natively integrated into the clinical workflow, it helps clinicians alleviate administrative burden, improve RAF accuracy, manage care gaps, and track value-based metrics. The platform supports confident, data-driven decisions, accurate documentation, and more proactive, personalized patient care.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Clinician Copilot for streamlined workflows and documentation
  • Risk Adjustment for improved RAF accuracy and HCC recommendations
  • Quality Management for care gap closure and HEDISu00ae satisfaction
  • Robust Analytics for tracking value-based metrics and performance
  • Superior AI for multi-source data reconciliation into a Patient Portrait
  • Explainable AI providing clinical evidence for every insight
  • Native integration into existing EHR systems (Epic, Cerner, athenahealth)
  • AI-powered HCC recommendations at the point of care
  • Automated surfacing of clinical evidence for care gap closure
  • Ambient scribe and automated visit note generation

Use Cases

  • Streamlining clinical workflows and documentation
  • Improving RAF accuracy and audit-readiness
  • Managing care gaps and improving HEDISu00ae satisfaction rates
  • Tracking value-based metrics and performance
  • Enhancing patient-physician relationships by reducing administrative burden
  • Enabling proactive and personalized patient care

What Physicians Need to Know

Evidence Base
Navina's AI engine is clinically informed, transparent, and trustworthy, linking every insight back to the original clinical evidence. It ingests structured and unstructured data from multiple sources including EHRs, HIEs, claims, and clinical notes. The AI models are continuously updated and fine-tuned for primary care, aligning with the latest best practices and clinical guidelines, utilizing over 600 proprietary AI algorithms.
Clinical Validation Studies
An independent AAFP study reported a 23% reduction in physician burnout and a 49% increase in identified diagnoses, with an 84% acceptance rate of Navina's AI-powered diagnosis recommendations. A Phyx Primary Care study found a 40% drop in chart review time for complex visits, with 92% of physicians trusting HCC coding suggestions and 85% trusting diagnostic prompts.
Alert Fatigue Management
While not explicitly detailed as 'alert fatigue management' features, Navina's core functionality of transforming vast, fragmented data into concise, actionable, and contextualized insights aims to reduce information overload, a primary cause of alert fatigue. It focuses on surfacing 'laser-focused' recommendations.
Override Rate Data
Navina demonstrates high clinician acceptance rates for its AI-powered recommendations: 84% in an AAFP study, 81% across its user base, 73% for HCC suggestions in a Phyx study, and 75-86% for diagnosis suggestions in various case studies. These high acceptance rates imply a low override rate.
Differential Diagnosis Support
Navina's AI identifies 'suspected conditions' and performs 'diagnosis inferencing' from various data sources. It explicitly differentiates and excludes conditions referenced as medical history, differential diagnoses, side effects, or absent conditions, helping physicians identify previously unrecognized problems.
Guideline Update Frequency
Navina is committed to the continuous updating and fine-tuning of its AI models to align with the latest best practices and clinical guidelines. It also helps customers stay current with regulatory changes, including annual updates to HCC coding based on ICD-10.
Clinical Workflow Integration
Navina is natively integrated into the clinical workflow, offering seamless EHR integration (e.g., Epic, athenahealth) as an overlay or standalone tab. It streamlines workflows from pre-visit chart review (enabling a '2-minute chart review') through diagnosis, care gap closure, ambient AI support, note generation, and one-click orders/referrals, significantly reducing administrative burden.
Decision Audit Trail
Navina provides 'explainable AI' where every insight and diagnosis is backed by and linked to the original clinical evidence or source, fostering trust and enabling audit-ready documentation and audit-grade compliance for risk adjustment and quality measures.
Physician Tip

Leverage Navina for a comprehensive 'Patient Portrait' to significantly reduce chart review time and surface previously overlooked conditions. Trust the AI's evidence-backed insights for diagnosis and HCC coding, as studies show high acceptance rates and improved RAF scores. Integrate Navina seamlessly into your EHR to streamline workflows, enhance documentation, and focus more on patient interaction rather than administrative tasks. Utilize its capabilities for care gap closure and risk adjustment to thrive in value-based care models.

Navina offers seamless, native integration with major EHR systems like Epic and athenahealth, functioning as an overlay or standalone tab within the existing clinical workflow. It also integrates with Health Information Exchanges (HIEs), claims data, and can combine ambient conversation data with historical records from multiple sources and modalities for a unified patient view.

Details

Category Clinical Decision Support & Reference, Documentation & Scribing, Population Health Analytics
Pricing Custom pricing
  • Navina offers tailored pricing plans based on the specific needs and scale of healthcare organizations
DeploymentCloud-based, integrates with major EHR systems (Epic, Cerner, athenahealth).
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Cleared AI-estimated

Navina is a software platform for clinical intelligence and workflow enhancement, not a medical device requiring FDA clearance.

Integrations
EHR Not specified
Specialties Family Medicine, Geriatrics, Internal Medicine

What the Web Says

Navina is an AI-powered clinician copilot designed for value-based care organizations, aiming to transform fragmented patient data into actionable insights at the point of care. It assists with pre-visit planning, ambient note generation, risk adjustment, and audit-ready documentation, significantly reducing physician burden and improving diagnostic accuracy.

Overall: Positive

Strengths

  • Reduces physician burnout and administrative burden by streamlining chart review and documentation.
  • Enhances diagnosis accuracy and identifies previously undocumented diagnoses.
  • Improves efficiency in pre-visit planning, saving time for healthcare providers.
  • Seamless integration with existing EHR systems and other data sources.
  • Supports value-based care models by surfacing care gaps and coding opportunities, leading to increased revenue.
  • Provides clinical evidence to back up AI-generated insights, building trust in the software.

Limitations

  • Initial setup and integration with existing EHR systems can be complex.
  • New users may experience a learning curve to fully adapt to the AI features and data presentation.
  • Effectiveness is highly dependent on the quality and completeness of the input data.
  • Some users have reported inaccurate diagnoses, particularly concerning billing codes.
  • Pricing is enterprise-only and not publicly disclosed, making it difficult to evaluate against.
  • Primarily suited for value-based care organizations, potentially less beneficial for small fee-for-service practices.

Based on reviews from: AI Agent Square, Futurepedia, Navina.ai (Official Website), Elion Health, MedCity News, SourceForge, Reddit, G2

Last updated: 2026-07-22

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Press & Coverage

Navina AI
Clinical AI Leader Navina Secures $55M Series C Funding Led by Growth Equity at Goldman Sachs Alternatives
Navina announced a $55 million Series C funding round, led by Growth Equity at Goldman Sachs Alternatives, bringing its total funding to $100 million. This investment will accelerate Navina's expansion in the U.S. healthcare market and enhance its AI technology to improve patient outcomes.
2025-03
Navina AI
Navina's AI copilot ranks #1 in 2025 Best in KLAS
Navina was ranked #1 in the 2025 Best in KLAS Awards in the Clinician Digital Workflow category, marking its second consecutive KLAS award. This recognition highlights the company's commitment to improving clinician experience and outcomes with its AI-powered solutions.
2025-02
Navina AI
Navina and Summit Health announce a new AI-powered partnership
Navina partnered with Summit Health to deploy its AI tool, aiming to help clinicians better understand patient health, improve quality of care, and reduce administrative burden. The initial implementation onboarded over 1,000 providers, coders, and quality care team members in seven weeks.
2026-03
Navina AI
Bruce Broussard, former Humana CEO, joins Navina advisory board to support growth across payers and providers
Bruce Broussard, former CEO of Humana, joined Navina's advisory board, bringing extensive experience in Medicare Advantage and integrated care models. His expertise will support Navina's growth across providers and health plans, advancing its mission to deliver proactive, data-driven care.
2026-04
PR Newswire
Nabla and Navina Announce Strategic Partnership to Supercharge Clinician Workflows with Clinical Intelligence and Ambient AI
Nabla and Navina announced a strategic partnership to integrate Navina's clinician co-pilot with Nabla's in-visit ambient documentation. This collaboration aims to provide real-time support across the full clinical encounter, improving patient outcomes and financial performance in value-based care.
2025-07
Navina AI
AAFP Study: Navina AI Reduces Burnout & Boosts Outcomes
An independent study by the American Academy of Family Physicians (AAFP) found that Navina's AI assistant significantly reduced physician burnout by 23% and visit preparation time by 38%. The study also reported a 49% increase in identified diagnoses and a 22% increase in overall practice satisfaction.
2024-01
Navina AI
New research finds ambient-only clinical documentation misses critical patient context
New research from Navina indicates that chronic disease clinical documentation significantly improves when patient-clinician conversations are combined with a patient's longitudinal medical history. The study found that documentation completeness more than doubled when augmented with historical patient data.
2025-11
Navina AI
Navina Unveils Generative AI Assistant
Navina announced the development of its proprietary AI assistant, which leverages advanced generative AI to transform physicians' clinical and administrative workflows. This tool allows physicians to understand patient health, handle administrative requests, and receive care recommendations using natural language.
2023-06

Videos

Product demos, reviews, and walkthroughs for Navina.

View all on YouTube

Frequently Asked Questions

Navina functions as an AI copilot that integrates into existing clinical workflows, transforming fragmented patient data from various sources like EHRs, HIEs, and claims into actionable insights at the point of care. It aims to reduce chart review time, improve diagnostic accuracy, streamline quality management, and enhance risk adjustment, ultimately freeing up physicians to focus more on patient interaction.
Navina is committed to safeguarding patient information through robust privacy and security frameworks, ensuring strict compliance with HIPAA and other relevant regulations. The platform has successfully completed SOC 2 Type II + HIPAA report audits and holds ISO 27001 and SOC 2 Type II certifications, demonstrating its adherence to high data security standards.
The effectiveness of Navina's AI is highly dependent on the quality and completeness of the ingested data, and initial integration with existing EHR systems can sometimes be complex. While Navina aims to overcome limitations of ambient-only AI by fusing conversational data with historical patient records, challenges can arise from fragmented, chaotic, or improperly identified clinical data.
Alternatives to Navina include other healthcare AI and analytics platforms such as Miya Precision, Pearl, Credo Health, RLD360, and various AI medical scribes like Nuance DAX or Abridge. Navina differentiates itself by focusing on creating comprehensive 'Patient Portraits' from diverse data sources, providing evidence-based insights directly at the point of care, and specializing in value-based care outcomes.
Navina offers custom pricing or tailored plans, which are determined based on the specific needs and scale of individual healthcare organizations. Specific public pricing tiers are not readily available, as the cost is customized to each practice's requirements.
Navina builds trust by providing explainable AI, meaning every insight and diagnosis suggestion is linked back to its original clinical source for validation. This transparency allows physicians to review the evidence and exercise their professional judgment, fostering confidence in the AI-generated recommendations.
Navina's AI engine ingests and reconciles both structured and unstructured data from multiple sources to create a comprehensive patient view. This includes information from Electronic Health Records (EHRs), Health Information Exchanges (HIEs), insurance claims, and payer data.

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Suggest an Edit → | Last Verified: 2026-04-21 | First Added: 2026-04-21
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