Data fragmentation and information overload often lead to missed diagnoses hidden in scanned documents, with negative results for patient outcomes, risk adjustment scores, and practice reimbursement.

Navina addresses this challenge by leveraging cutting-edge AI algorithms to read, interpret, and synthesize complex patient data from various sources, including  Electronic Health Records (EHRs), Health Information Exchanges (HIEs), laboratories, consultation notes, claims, and more.  

Download this report to learn about Navina’s unique ability to derive insights from chest and vascular imaging reports, alongside echocardiogram reports, identify specific findings within these reports and suggest relevant Hierarchical Condition Category (HCC) codes based on its findings.