#digitalhealth

New JAMA research reveals how patients rated AI-generated responses compared to clinician replies in electronic health records.

Stanford study reveals 89% of physicians report reduced workload using ambient AI scribes, with 100% noting decreased cognitive demand.

Physicians face impossible expectations to perfectly calibrate AI reliance while bearing full liability for AI errors—a burden that may worsen burnout

Sutter Health's pilot study of 100 clinicians reveals ambient AI reduced documentation time from 6.2 to 5.3 minutes per appointment

A study reveals that AI-guided infection prevention bundles reduced CDI-related antimicrobial use by 16.8%

Microsoft's AI Diagnostic Orchestrator solved 85.5% of complex NEJM case challenges while experienced physicians achieved only 20% accuracy

New research reveals AI-powered clinical decision support systems reduce diagnostic errors by up to 37%

Major randomized trial of 20,000+ patients reveals AI-driven clinical trial notifications failed to increase enrollment.

New research reveals that AI-powered clinical decision support systems can reduce diagnostic errors by up to 37%.

According to AMA’s 2023 Digital Health Research, nearly 4 in 10 physicians in hospitals report access to AI tools, but only 1 in 10 for small group practitioners