Stanford Health Care reimagined Epic EHR onboarding with Amplifire’s adaptive learning platform, achieving breakthrough results that transformed their clinician training program. By integrating brain-science-based learning with ServiceNow automation, Stanford created a personalized, data-driven experience that dramatically accelerated time-to-competency while reducing instructor workload.

Amplifire’s Confidence-Based Learning^® methodology identified and corrected Confidently Held Misinformation™ (CHM™)—where clinicians were confident but incorrect preventing costly errors before they reached patient care. The platform’s real-time analytics automatically flagged struggling learners and generated support requests, enabling targeted interventions precisely when needed. Through seamless workflow integration, Stanford delivered customized learning paths that honored prior Epic experience while ensuring mastery of critical clinical workflows.

The results speak for themselves: 50% reduction in onboarding time, getting clinicians to patient care twice as fast. A 20-30% decrease in education processing hours freed instructors for high-impact coaching. Knowledge base engagement jumped 13%, reflecting improved resource access and relevance. Across roles from inpatient nurses to specialty providers, Stanford corrected 14-25% of CHM™ while achieving 8-17% higher retention compared to traditional training. This wasn’t just faster training—it was smarter, more effective preparation that elevated both clinician confidence and clinical accuracy.

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