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Automated Data Extraction
What is the power of automated AI data extraction for clinical insights?
• Diagnostic information, precise ejection fraction and treatment details are often not captured in structured data but are in the free text notes and letters that clinicians record in the EMR
• Manual extraction from electronic medical records (EMRs) is time consuming, resource intensive, error-prone and cannot scale across large patient populations
• Pentavere's AI has been proven and validated to ingest, analyze, and extract complex clinical information buried in the EMR, more accurately and in a fraction of the time of the current manual processes
• Treatment data associated with patients that have confirmed HFrEF will be extracted to identify patients that require treatment optimization