Leveraging medicare claims to reduce false positives from 87% to 12%, a two‐stage approach to dementia screening

Reducing false positives is key to making screening practical. We find that using a machine learning approach to claim-analysis can identify patients who should be screened with a test like the Mini-Cog. This creates a practical path to discovering and diagnosing dementia and connecting patients with appropriate care.