title: Visual analytics in medical education: impacting analytical reasoning and decision making for quality improvement.
abstract: The medical curriculum is the main tool representing the entire undergraduate medical education. Due to its complexity and multilayered structure it is of limited use to teachers in medical education for quality improvement purposes. In this study we evaluated three visualizations of curriculum data from a pilot course, using teachers from an undergraduate medical program and applying visual analytics methods. We found that visual analytics can be used to positively impacting analytical reasoning and decision making in medical education through the realization of variables capable to enhance human perception and cognition on complex curriculum data. The positive results derived from our evaluation of a medical curriculum and in a small scale, signify the need to expand this method to an entire medical curriculum. As our approach sustains low levels of complexity it opens a new promising direction in medical education informatics research.
authors.affiliation: Department of Learning Informatics Management and Ethics, Karolinska Institutet, Stockholm, Sweden.
authors.forename: Christos
authors.initials: C
authors.lastname: Vaitsis
authors.affiliation: Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
authors.forename: Gunnar
authors.initials: G
authors.lastname: Nilsson
authors.affiliation: Department of Learning Informatics Management and Ethics, Karolinska Institutet, Stockholm, Sweden.
authors.forename: Nabil
authors.initials: N
authors.lastname: Zary
mesh_terms: D003071:Cognition / Q000502:physiology*; D003196:Computer Graphics; D003657:Decision Making / Q000502:physiology*; D004504:Education, Medical, Undergraduate / Q000379:methods*; D004521:Educational Measurement; D006801:Humans; D007858:Learning / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*