Visual analytics in healthcare education: exploring novel ways to analyze and represent big data in undergraduate medical education

Introduction. The big data present in the medical curriculum that informs undergraduate medical education is beyond human abilities to perceive and analyze. The medical curriculum is the main tool used by teachers and directors to plan, design, and deliver teaching and assessment activities and stud...

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Bibliographic Details
Main Authors: Vaitsis, Christos, Nilsson, Gunnar, Zary, Nabil
Format: Online
Language:English
Published: PeerJ Inc. 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4250066/
Description
Summary:Introduction. The big data present in the medical curriculum that informs undergraduate medical education is beyond human abilities to perceive and analyze. The medical curriculum is the main tool used by teachers and directors to plan, design, and deliver teaching and assessment activities and student evaluations in medical education in a continuous effort to improve it. Big data remains largely unexploited for medical education improvement purposes. The emerging research field of visual analytics has the advantage of combining data analysis and manipulation techniques, information and knowledge representation, and human cognitive strength to perceive and recognize visual patterns. Nevertheless, there is a lack of research on the use and benefits of visual analytics in medical education.