UCLA

BACKGROUND: Institutions, departments, and individuals are increasingly facing challenges to determine how to enable their learners to acquire and curate rapidly changing knowledge and to foster the creation of lifelong learners in this information-rich digital era. METHODS: Much like the Precision Medicine initiative of 2015, in which diagnostic, treatment, and preventive care target individual patients based on their genetic and environmental profiles, educators can use the same principles to create a model of Precision Education. RESULTS: In this model, future facing individualizable educational infrastructure can consider innate qualities, learning style, behavior, environment, prior experience, expertise, and assessments. CONCLUSION: Educators can utilize Artificial Intelligence, the Master Adaptive Learner model, and key components of Competency Based Medical Education to transform the evolution of Health Professions Education to meet the individual and systemic needs of tomorrows learners, educators, and institutions to improve educational and clinical outcomes.