IAI Colloquia Series at ISR: Ben Shneiderman, "Information Visualization for Medical Informatics"
Wednesday, February 1, 2012
1146 A.V. Williams Building
301 405 6602
Intelligent Automation, Inc. Colloquia Series
@ The Institute for Systems Research
Information Visualization for Medical Informatics
| video |
Department of Computer Science and University of Maryland Institute for Advanced Computer Studies (UMIACS)
ISR Affiliated Professor
Effective medical care depends on well-designed user interfaces that enable users to benefit from the increasing abundance of information that supports decision making. Novel strategies in information visualization allow clinicians and medical researchers to explore in systematic yet flexible ways, so as to derive insights and make discoveries.
This talk begins with commercial success stories such as www.spotfire.com, www.smartmoney.com/marketmap and www.hivegroup.com and explores their application to medical informatics. Then we look at research tools for electronic health records to find specified event sequences and to view compact summaries of millions of patient histories. Demonstrations also cover visual interfaces to support clinicians in understanding patient status, making correct orders, and tracking medical lab tests (www.cs.umd.edu/hcil/sharp).
Ben Shneiderman is a Professor in the Department of Computer Science and Founding Director (1983-2000) of the Human-Computer Interaction Laboratory at the University of Maryland. He is a Fellow of the AAAS, ACM, and IEEE, and a Member of the National Academy of Engineering.
Prof. Shneiderman is the co-author with Catherine Plaisant of Designing the User Interface: Strategies for Effective Human-Computer Interaction (5th ed., 2010) http://www.awl.com/DTUI/. With Stu Card and Jock Mackinlay, he co-authored Readings in Information Visualization: Using Vision to Think (1999). His book Leonardos Laptop appeared in October 2002 (MIT Press) and won the IEEE book award for Distinguished Literary Contribution. His latest book, with Derek Hansen and Marc Smith, is Analyzing Social Media Networks with NodeXL (www.codeplex.com/nodexl, 2010).