Clinically informed AI that transforms care delivery
The Navina difference
Designed for primary care
Tailored to the nuances of health data, ensuring accurate identification of hidden conditions
Transparent and trustworthy
Every insight is linked to the original clinical evidence
Native to clinical workflows
Navina surfaces insights and recommendations directly within the EHR, at the point of care
Under the hood: Navina’s AI engine
Multi-source data reconciliation
Navina ingests data across disparate sources, including the electronic health record (EHR), health information exchanges (HIEs), insurance claims and care gap files, and transforms it into a coherent Patient Portrait.
Document classification
Automatically classifies document types (consult notes, imaging reports, etc.) and uses Navina’s proprietary language models to extract and structure information such as ICD-10 codes and clinical dates from free text. Powerful segmentation algorithms are able to handle long, complex, multi-document records.
Suspected conditions engine
Surfaces suspected chronic conditions never explicitly documented before by parsing clinical evidence across structured and unstructured data from notes, imaging, meds, labs, vitals and more.
Diagnosis inferencing
Infers applicable hierarchical condition categories (HCCs) from diverse data sources beyond just diagnosis lists, ensuring more accurate risk scoring.
Care gap insights
Continuously monitors and reconciles preventative care needs like screenings and vaccinations based on the latest clinical data ingested into the patient record.
Automated generation of documentation
Supports physicians by automating diagnosis and visit documentation. Navina uses state-of-the art generative AI to automatically suggest MEAT-compliant documentation.
By the numbers
How it works
AI you can trust
"AI has the potential to dramatically relieve physician burnout when it is properly integrated into their workflow and provides evidence-based insights that clinicians can trust."
