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Visual Analytics is an emerging discipline that combines elements of visualization, data mining, human-computer interaction, data analytics, and human cognition to facilitate the exploration, reasoning, and interpretation of complex multi-modal data.  The mission of the Visual Analytics Working Group is to promote the development and validation of new visual analytical techniques that can be used to address some of the fundamental data and informatics challenges evident in the healthcare domain.

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The purpose of supporting and motivating more research and development on new visual analytical methods in healthcare is to make information more insightful, accessible, and actionable to a wide range of participants in the healthcare ecosystem including clinicians, administrators, policy makers, researchers, patients, families, and caregivers.  The AMIA working group is dedicated to fostering an active, interdisciplinary research community; highlighting impactful applications of visual analytics technology; developing best practices for development and evaluation; and serving as a hub for research collaboration.

Leadership

Profile image for Danny T. Y. Wu

Danny T. Y. Wu

Chair
Assistant Professor
University of Cincinnati Department of Biomedical Informatics
Profile image for Jeremy L Warner, MD

Jeremy L Warner, MD

Past Chair
Associate Professor of Medicine and Biomedical Informatics
Vanderbilt University