Sentara Health is extending its infection-prevention program by embedding an AI-informed model within its Epic electronic health record to detect MRSA risk before colonization becomes infection. The approach leverages real-time data from patient histories, device use, prior MRSA episodes, lab results, and unit infection patterns to generate risk scores and actionable alerts for clinicians. By surfacing guidance directly in the EHR, the model aims to trigger early decolonization, targeted hygiene measures, and antibiotic stewardship before MRSA takes hold.
This represents a broader AI-enabled shift in healthcare operations, embedding predictive analytics into standard workflows to speed outbreak containment and improve outcomes. While data quality and interoperability pose challenges, the initiative illustrates how EHR-integrated AI can shift infection-prevention from retroactive to proactive management, potentially reducing hospital-acquired infections, shortening stays, and lowering costs across the Sentara network.
