Interdisciplinary research community - Computer Science & Info Studies
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Transcript of Interdisciplinary research community - Computer Science & Info Studies
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Information Visualization in Medical Informatics
Ben Shneiderman [email protected] @benbendc
Founding Director (1983-2000), Human-Computer Interaction LabProfessor, Department of Computer Science
Member, Institute for Advanced Computer Studies
University of MarylandCollege Park, MD 20742
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Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Poli Sci & MITH (www.cs.umd.edu/hcil)
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Design Issues
• Input devices & strategies• Keyboards, pointing devices, voice• Direct manipulation• Menus, forms, commands
• Output devices & formats• Screens, windows, color, sound• Text, tables, graphics• Instructions, messages, help
• Collaboration & Social Media• Help, tutorials, training• Search
www.awl.com/DTUI
Fifth Edition: 2010
• Visualization
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Information Visualization & Visual Analytics
• Visual bands• Human percle
• Trend, clus..• Color, size,..
• Three challe• Meaningful vi • Interaction: w• Process mo
1999
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Information Visualization & Visual Analytics
• Visual bandwidth is enormous• Human perceptual skills are remarkable
• Trend, cluster, gap, outlier...• Color, size, shape, proximity...
• Three challenges• Meaningful visual displays of massive da • Interaction: widgets & window coordinati• Process models for discovery
1999 2004
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Information Visualization & Visual Analytics
• Visual bandwidth is enormous• Human perceptual skills are remarkable
• Trend, cluster, gap, outlier...• Color, size, shape, proximity...
• Three challenges• Meaningful visual displays of massive data • Interaction: widgets & window coordination• Process models for discovery
1999 2004 2010
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Business takes action
• General Dynamics buys MayaViz• Agilent buys GeneSpring• Google buys Gapminder• Oracle buys Hyperion• Microsoft buys Proclarity• InfoBuilders buys Advizor Solutions• SAP buys (Business Objects buys
Xcelsius & Inxight & Crystal Reports ) • IBM buys (Cognos buys Celequest) & ILOG• TIBCO buys Spotfire
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Spotfire: Retinol’s role in embryos & vision
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Spotfire: DC natality data
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10M - 100M pixels: Large displays
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100M-pixels & more
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1M-pixels & less Small mobile devices
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Information Visualization: Mantra
• Overview, zoom & filter, details-on-demand• Overview, zoom & filter, details-on-demand• Overview, zoom & filter, details-on-demand• Overview, zoom & filter, details-on-demand• Overview, zoom & filter, details-on-demand• Overview, zoom & filter, details-on-demand• Overview, zoom & filter, details-on-demand• Overview, zoom & filter, details-on-demand• Overview, zoom & filter, details-on-demand• Overview, zoom & filter, details-on-demand
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Information Visualization: Data Types
• 1-D Linear Document Lens, SeeSoft, Info Mural
• 2-D Map GIS, ArcView, PageMaker, Medical imagery
• 3-D World CAD, Medical, Molecules, Architecture
• Multi-Var Spotfire, Tableau, Qliktech, Visual Insight
• Temporal LifeLines, TimeSearcher, Palantir, DataMontage
• Tree Cone/Cam/Hyperbolic, SpaceTree, Treemap
• Network Pajek, UCINet, NodeXL, Gephi, Tom Sawyer
In
foV
iz
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ciV
iz .
infosthetics.com visualcomplexity.com eagereyes.orgflowingdata.com perceptualedge.com datakind.orgvisual.ly visualizing.org infovis.org
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Anscombe’s Quartet
1 2 3 4
x y x y x y x y
10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58
8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76
13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71
9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84
11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47
14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04
6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25
4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50
12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56
7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91
5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89
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Anscombe’s Quartet
1 2 3 4
x y x y x y x y
10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58
8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76
13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71
9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84
11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47
14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04
6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25
4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50
12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56
7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91
5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89
Property ValueMean of x 9.0
Variance of x 11.0
Mean of y 7.5
Variance of y 4.12
Correlation 0.816
Linear regression y = 3 + 0.5x
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Anscombe’s Quartet
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LifeLines: Patient Histories
www.cs.umd.edu/hcil/lifelines
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LifeLines2: Align-Rank-Filter & Summarize
www.cs.umd.edu/hcil/lifelines
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LifeLines2: Align-Rank-Filter & Summarize
www.cs.umd.edu/hcil/lifelines2
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LifeFlow: Aggregation Strategy
Temporal Categorical Data (4 records)
LifeLines2 format
Tree of Event Sequences
LifeFlow Aggregation
www.cs.umd.edu/hcil/lifeflow
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LifeFlow: Interface with User Controls
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EventFlow: Original Dataset
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LABA_ICSs Merged
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SABAs Merged
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Align by First LABA_ICS
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Reduce Window Size
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Original Dataset
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EventFlow Team: Oracle support
www.cs.umd.edu/hcil/eventflowwww.umdrightnow.umd.edu/news/umd-research-team-developing-powerful-data-visualization-tool-support-oracle
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Treemap: Gene Ontology
www.cs.umd.edu/hcil/treemap/
+ Space filling+ Space limited+ Color coding+ Size coding - Requires learning
(Shneiderman, ACM Trans. on Graphics, 1992 & 2003)
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www.smartmoney.com/marketmap
Treemap: Smartmoney MarketMap
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Market falls steeply Feb 27, 2007, with one exception
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Market falls steeply Sept 22, 2011, some exceptions
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Market mixed, February 8, 2008 Energy & Technology up, Financial & Health Care down
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Market rises, September 1, 2010, Gold contrarians
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Treemap: WHC Emergency Room (6304 patients in Jan2006)
Group by Admissions/MF, size by service time, color by age
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Treemap: WHC Emergency Room (6304 patients in Jan2006) (only those service time >12 hours)
Group by Admissions/MF, size by service time, color by age
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www.hivegroup.com
Treemap: Nutritional Analysis
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Office of National Coordinator: SHARP
www.cs.umd.edu/hcil/sharp
Strategic Health IT Advanced Research Projects - Security of Health Information Technology - Patient-Centered Cognitive Support - Healthcare Application and Network Platform Architectures - Secondary Use of EHR Data
Univ of Maryland HCIL tasks - Missing Laboratory Reports - Medication Reconciliation - Wrong Patient Errors
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Lab test tracking to ensure completion
Define tracking processes Assign temporal responsibility Define possible actions Predict expected duration
Generate User Interface from processes Enhance situation awareness Integrate follow-up actions with results Simplify rapid operations Provide retrospective analysis
PhD work: Sureyya Tarkan
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Missing Lab Tests: Results Only
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Missing Lab Tests: Results+Pending
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Missing Lab Tests: Prioritized Pending
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Performance Times: 18 participants
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Retrospective Analyses Lab Tests
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Medication Reconciliation: Current Form
www.cs.umd.edu/hcil/sharp
Univ of Maryland HCIL tasks - Missing Laboratory Reports - Medication Reconciliation - Alarms and Alerts Management
www.youtube.com/watch?v=ZGf1EiuIIIM
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Twinlist: Medication Reconciliation
“Best reconciliation app I have ever seen” Dr. Shawn Murphy, PartnersHealthcare & Harvard Medical
Tiffany Chao, Catherine Plaisant, Ben ShneidemanBased on class project of : Leo Claudino, Sameh Khamis, Ran Liu, Ben London, Jay Pujara Students of CMSC734 Information Visualization class
“Super-cool demo” Dr. Jonathan Nebeker, Univ of Utah & VA
“Twinlist concept is brilliant” Dr. Kevin Hughes, Harvard Medical School
www.youtube.com/watch?v=YoSxlKl0pCo
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Twinlist: Medications Grouped
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Reducing Wrong Patient Errors: Animated Transitions & Photos
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Reducing Wrong Patient Errors: Animated Transitions & Photos
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Reducing Wrong Patient Errors: Animated Transitions & Photos
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Error Recognition Rate for each Group
63%
43%
36%
7%
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
CombinedPhotoAnimationControl
(Taieb-Maimon, Plaisant & Shneiderman, 2012)
The combination of animation & photo resulted in a significant increase in error recognition rate relative to the control & animation groups Dramatic implications for commercial systems
Control Photo Combined
36%
Animation
7%
43%
63%
Reducing Wrong Patient Errors: Animated Transitions & Photos
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UI Techniques to Reduce Selection Errors
• Highlight on Departure + Animation• Re-sort lists, Group by attributes• Show floor plan• Larger fonts + Space between rows
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UI Techniques to Reduce Selection Errors
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UN Millennium Development Goals
• Eradicate extreme poverty and hunger• Achieve universal primary education
• Promote gender equality and empower women• Reduce child mortality
• Improve maternal health• Combat HIV/AIDS, malaria and other diseases
• Ensure environmental sustainability• Develop a global partnership for development
To be achieved by 2015
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30th Annual SymposiumMay 22-23, 2013
www.cs.umd.edu/hcil@benbendc