In this CME Outfitters AI-powered precision learning activity, expert faculty will apply burden and acuity indicators to classify UTI presentations as localized vs systemic and anticipate downstream site-of-care and resource implications. Learners will be shown how to construct evidence-based empiric and targeted treatment regimens for multi-drug-resistant pathogens by integrating updated clinical algorithms and novel antimicrobial data. Faculty will model implementation of stewardship-driven transition protocols for cUTI, including site-of-care decisions and discharge planning to reduce avoidable readmission.
In this AI-enabled clinical simulation utilizing patient case scenarios, expert faculty will discuss the importance of HZ vaccination across diverse populations, including the latest evidence on vaccine safety, efficacy, and administration schedules. Participants will explore strategies to strengthen vaccine series completion through coordinated workflow decision-making and patient communication approaches that address barriers.
Designed to bridge the gap between evidence and practice, this innovative educational experience combines expert-guided analysis of real-world patient cases with immersive simulation-based learning. Participants will move beyond passive education to actively apply clinical decision-making skills, receive personalized coaching, and explore solutions to common challenges encountered in routine care. Through this interactive approach, learners will gain the confidence, competence, and practical tools needed to effectively integrate BsAbs into contemporary MM management.
