Machine Learning, AI Disrupting Medical Education and Adaptive Learning Models

Healthcare IT News (10/23/18) Davis, Jessica

Cathy Wolfe, Wolters Kluwer health learning, research and practice CEO and president, says new technology including machine learning and artificial intelligence are having a transformative effect on adaptive learning models in ways that optimize learning and enhance knowledge retention in medical education. Subsequently, many healthcare organizations are investing in personnel development to support evidence-based care, which Wolfe notes can better patient outcomes, reduce care variability, and assist with high reimbursements. She says maximizing technology's value involves clinical educators tailoring evidence-based training and orientation programs while keeping up with the demand and high turnover rates among clinicians. "They must also focus on longer-term knowledge acquisition and continuing education," she stresses. Medical institutions are focusing on providing high-quality education that will support providers in achieving better outcomes while guaranteeing higher productivity and improved care delivery, with core concentration on teaching better critical reasoning to improve diagnostic skills. Wolfe recommends migrating away from training's traditional emphasis on memorization to a model that engages students with adaptive quizzing, case studies, and virtual anatomy.

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