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.
Community Access
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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
Danny Wu, PhD
Swaminathan Kandaswamy, PhD
Ming-tse Tsai, MD MSHI
Natthawut Adulyanukosol, MSc
Scott Vennemeyer, BS
Victor Lin, MD
- Performing: Working Group has high level of engagement and output (workshops, papers, webinars)
- Networking: Working Group has internal and external networking opportunities for members (mentorship programs, social events, collaboration)
- Developing: New Working Group or revitalizing efforts to grow membership (recruitment efforts, leadership)