Novel Method Identifies Patients at Risk for HIV Who May Benefit From Prevention Strategies NIH-funded studies demonstrate the value of automated prediction algorithms that could be used to prevent new HIV infections Researchers have demonstrated the effectiveness of using algorithms that analyze electronic health records (EHRs) to help physicians identify patients at risk for HIV who may benefit from preexposure prophylaxis (PrEP), which significantly reduces the risk of getting HIV.   Read the full release   Questions? Contact Us STAY CONNECTED: SUBSCRIBER SERVICES: Manage Preferences  |  Unsubscribe  |  Help  |  Subscribe to DSIR Portfolio Snapshots     This email was sent to myhcistech.healthnews360@blogger.com using GovDelivery Communications Cloud on behalf of: National Institute of Mental Health · 6001 Executive Boulevard · Bethesda, MD 20892-9663 · 1-866-615-6464