Navina

Navina provides an AI-enabled copilot designed to support clinicians and healthcare organizations engaged in value-based care (VBC). Its main function is to transform fragmented health data from multiple sources into concise, actionable insights directly within clinical workflows. This approach aims to streamline patient documentation, improve diagnostic accuracy for risk adjustment, and help close care and quality gaps more efficiently.

By using natural language processing and proprietary AI algorithms, Navina delivers real-time, evidence-backed recommendations for diagnoses (HCCs) during patient encounters. The platform integrates with electronic health records, reducing manual data entry and administrative effort. Features include RAF (Risk Adjustment Factor) accuracy tools, quality management analytics, and purpose-built workspaces for coders and quality teams to review and collaborate on patient records prior to visits.

Large provider groups, Accountable Care Organizations (ACOs), Management Services Organizations (MSOs), and health plans can use Navina to proactively monitor network performance, identify care gaps early, and support coding, auditing, and compliance processes. With demonstrable user adoption rates among clinicians and reported improvements in value-based performance, Navina is recognized for its impact on clinical efficiency, provider satisfaction, and patient care outcomes.

Navina is built for clinical leaders, operations managers, and compliance officers in healthcare organizations operating under value-based care models. It is especially useful for large physician groups, ACOs, MSOs, and health plans that need to simplify the complexity of clinical documentation, risk coding, and closing care gaps.

Care teams and coding staff working with high volumes of patient data can adopt Navina to embed AI-driven insights into their everyday workflows, reduce administrative burden, and strengthen audit readiness. Organizations aiming to achieve higher RAF scores, meet quality metrics, and improve coordination between coders and providers are a core target audience.

The platform is critical where ongoing regulatory changes, risk adjustment challenges, and data fragmentation complicate value-based care delivery.