Precision education – a call to action to transform medical education
Dublin Core
Title
Precision education – a call to action to transform medical education
Subject
Artificial intelligence, Precision education, Competency based medical education, Master adaptive learner,
Medical education, Health professions education
Medical education, Health professions education
Description
Abstract
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 tomorrow’s learners, educators, and institutions to improve educational and clinical
outcomes.
Keywords Artificial intelligence, Precision education, Competency based medical education, Master adaptive learner,
Medical education, Health professions education
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 tomorrow’s learners, educators, and institutions to improve educational and clinical
outcomes.
Keywords Artificial intelligence, Precision education, Competency based medical education, Master adaptive learner,
Medical education, Health professions education
Creator
Wendy C. Coates1,2*
Source
https://doi.org/10.1186/s12245-025-00819-1
Date
2025
Contributor
Peri Irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Wendy C. Coates1,2*, “Precision education – a call to action to transform medical education,” Repository Horizon University Indonesia, accessed April 25, 2026, https://repository.horizon.ac.id/items/show/12641.