Achieve over 99% accuracy in healthcare data extraction with intelligent clinical context understanding and automated validation algorithms.
Improve HCC capture rates by 15-25% with validated clinical data extraction
Extract precise diagnosis codes, procedure details, and patient demographics from unstructured documents. Capture missed HCC codes from physician notes and specialist reports automatically.
Reduce manual claim reviews by around 40% with higher-quality structured data
Process claims data with enhanced accuracy, identifying billing inconsistencies and fraud patterns. Clean, structured FHIR data improves your audit algorithms and reduces false positives.
Increase clinical AI accuracy by 20-30% with clean, contextualized data inputs
Feed AI models with validated patient data that includes proper medical terminology mapping and clinical context. Ensure your algorithms make decisions based on complete, accurate information.
Cut quality reporting prep time by over 60% with automated measure extraction
Automatically extract quality measures from diverse data sources with clinical intelligence that understands HEDIS requirements. Reduce data preparation time for regulatory reporting.