Let A Powerful Learning Loop Driven By Data-Analytics Improve USMLE® and NBME® Subject Exams Outcomes

Leverage pedagogical approaches and predictive analytics to overcome challenges and obstacles in USMLE^® and NBME^® Subject Exams preparation

The change to a pass/fail scoring model on the USMLE^®* Step 1 has caused a shift in student study habits, and placed more emphasis on Step 2 CK. Students are no longer aiming for a high three-digit score on Step 1; rather, their focus is just on achieving a “pass” status. This puts them at risk for lower performance on Step 2 CK, which now has a passing standard score of 214, increased from 209.

Thus, efforts to help students gain an in-depth understanding, build a solid knowledge base, and be equipped with the necessary clinical skills required for success on USMLE^® and National Board of Medical Examiners^® (NBME^®) Subject Exams must be intensified. A time-efficient resource that supports active learning and prioritizes strategic learning and assessment will facilitate that goal.

Our new whitepaper shows how medical schools can benefit from embracing a powerful learning loop driven by data analytics and proven by science to enhance medical students’ learning and elevate exam outcomes.

Download and discover:

• How longitudinal data enables efficient tracking of academic development to identify at-risk students and provide suitable remediation support
• Why leveraging a data-driven approach to exam preparation enables students to meet curricular goals, achieve adequate test readiness, and optimize USMLE^® and NBME^® Subject Exams outcomes
• The benefits of utilizing a powerful, effective learning loop to ensure students master and retain foundational knowledge, enabling better application and knowledge-building throughout medical school, and beyond