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Information Visualization in Medical Informatics

        Ben Shneiderman       ben@cs.umd.edu @benbendc

 Founding Director (1983-2000), Human-Computer Interaction Lab
          Professor, Department of Computer Science
        Member, Institute for Advanced Computer Studies




                  University of Maryland
                 College Park, MD 20742
Interdisciplinary research community
 - Computer Science & Info Studies
 - Psych, Socio, Poli Sci & MITH
      (www.cs.umd.edu/hcil)
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            www.awl.com/DTUI

•   Help, tutorials, training
                                            Fifth Edition: 2010

•   Search        • Visualization
Information Visualization

•   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
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
Spotfire: Retinol’s role in embryos & vision
Spotfire: DC natality data
10M - 100M pixels

                           Large displays
                    for single or multiple users
100M-pixels & more
1M-pixels & less
                   Small mobile devices
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
SciViz .   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, GGobi, TableLens, ParCoords,
InfoViz




           •   Temporal          LifeLines, TimeSearcher, Palantir, DataMontage
           •   Tree              Cone/Cam/Hyperbolic, SpaceTree, Treemap
           •   Network           Pajek, JUNG, UCINet, SocialAction, NodeXL




               infosthetics.com    flowingdata.com     infovis.org
                             www.infovis.net/index.php?lang=2
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
Anscombe’s Quartet

          1                        2                    3                        4
x             y          x             y      x             y          x             y
                                                                                                Property            Value
10.0              8.04   10.0          9.14   10.0              7.46       8.0           6.58
                                                                                                Mean of x            9.0
    8.0           6.95       8.0       8.14       8.0           6.77       8.0           5.76
                                                                                                Variance of x       11.0
13.0              7.58   13.0          8.74   13.0          12.74          8.0           7.71
                                                                                                Mean of y            7.5
    9.0           8.81       9.0       8.77       9.0           7.11       8.0           8.84
                                                                                                Variance of y        4.12
11.0              8.33   11.0          9.26   11.0              7.81       8.0           8.47
                                                                                                Correlation          0.816
14.0              9.96   14.0          8.10   14.0              8.84       8.0           7.04
                                                                                                Linear regression   y = 3 + 0.5x
    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
Anscombe’s Quartet
LifeLines: Patient Histories




       www.cs.umd.edu/hcil/lifelines
LifeLines2: Contrast+Creatine




        www.cs.umd.edu/hcil/lifelines
LifeLines2: Align-Rank-Filter & Summarize




        www.cs.umd.edu/hcil/lifelines
LifeLines2: Align-Rank-Filter & Summarize




        www.cs.umd.edu/hcil/lifelines2
LifeFlow: Aggregation Strategy

                          Temporal
                          Categorical Data
                           (4 records)


                          LifeLines2 format


                          Tree of Event
                           Sequences


                          LifeFlow Aggregation

        www.cs.umd.edu/hcil/lifeflow
LifeFlow: Interface with User Controls
Treemap: Gene Ontology


+ Space filling
+ Space limited
+ Color coding
+ Size coding
- Requires learning




        (Shneiderman, ACM Trans. on Graphics, 1992 & 2003)
               www.cs.umd.edu/hcil/treemap/
Treemap: Smartmoney MarketMap




         www.smartmoney.com/marketmap
Market falls steeply Feb 27, 2007, with one exception
Market falls steeply Sept 22, 2011, some exceptions
Market mixed, February 8, 2008
Energy & Technology up, Financial & Health Care down
Market rises, September 1, 2010, Gold contrarians
Treemap: WHC Emergency Room
       (6304 patients in Jan2006)




Group by Admissions/MF, size by service time, color by age
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
Treemap: Nutritional Analysis




              www.hivegroup.com
Office of National Coordinator: 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
 - Alarms and Alerts Management



                 www.cs.umd.edu/hcil/sharp
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
Medication Reconciliation: Current Form




Univ of Maryland HCIL tasks
 - Missing Laboratory Reports
 - Medication Reconciliation
 - Alarms and Alerts Management



               www.cs.umd.edu/hcil/sharp
          www.youtube.com/watch?v=ZGf1EiuIIIM
www.youtube.com/watch?v=YoSxlKl0pCo
Twinlist: Medication Reconciliation


                                                                 “Best reconciliation app
                                                                   I have ever seen”
                                                                 Dr. Shawn Murphy, PartnersHealthcare & Harvard Medical




                                                                 “Super-cool demo”
                                                                    Dr. Jonathan Nebeker, Univ of Utah & VA




                                                                 “Twinlist concept is brilliant”
                                                                   Dr. Kevin Hughes, Harvard Medical School




Tiffany Chao, Catherine Plaisant, Ben Shneideman
Based on class project of : Leo Claudino, Sameh Khamis, Ran Liu, Ben London, Jay Pujara
                              Students of CMSC734 Information Visualization class

                             www.youtube.com/watch?v=YoSxlKl0pCo
NodeXL:
    Network Overview for Discovery & Exploration in Excel




www.codeplex.com/nodexl
NodeXL:
Network Overview for Discovery & Exploration in Excel




            www.codeplex.com/nodexl
NodeXL: Import Dialogs




  www.codeplex.com/nodexl
Tweets at #WIN09 Conference: 2 groups
WWW2011 Twitter Community: Grouped
‘GOP’ tweets, clustered (red-Republicans)
Flickr networks
Analyzing Social Media Networks with NodeXL
I. Getting Started with Analyzing Social Media Networks
    1. Introduction to Social Media and Social Networks
    2. Social media: New Technologies of Collaboration
    3. Social Network Analysis

II. NodeXL Tutorial: Learning by Doing
    4. Layout, Visual Design & Labeling
    5. Calculating & Visualizing Network Metrics
    6. Preparing Data & Filtering
    7. Clustering &Grouping

III Social Media Network Analysis Case Studies
    8. Email
    9. Threaded Networks
   10. Twitter
   11. Facebook
   12. WWW
   13. Flickr
   14. YouTube
   15. Wiki Networks

www.elsevier.com/wps/find/bookdescription.cws_home/723354/description
UN Millennium Development Goals

   To be achieved by 2015
      • 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
29th Annual Symposium
    May 22-23, 2012

 www.cs.umd.edu/hcil
29th Annual Symposium
    May 22-23, 2012

 www.cs.umd.edu/hcil
     @benbendc

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Information Visualization for Medical Informatics

  • 1. Information Visualization in Medical Informatics Ben Shneiderman ben@cs.umd.edu @benbendc Founding Director (1983-2000), Human-Computer Interaction Lab Professor, Department of Computer Science Member, Institute for Advanced Computer Studies University of Maryland College Park, MD 20742
  • 2. Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Poli Sci & MITH (www.cs.umd.edu/hcil)
  • 3. 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 www.awl.com/DTUI • Help, tutorials, training Fifth Edition: 2010 • Search • Visualization
  • 4. Information Visualization • 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
  • 5. 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
  • 6. Spotfire: Retinol’s role in embryos & vision
  • 8.
  • 9. 10M - 100M pixels Large displays for single or multiple users
  • 11. 1M-pixels & less Small mobile devices
  • 12. 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
  • 13. SciViz . 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, GGobi, TableLens, ParCoords, InfoViz • Temporal LifeLines, TimeSearcher, Palantir, DataMontage • Tree Cone/Cam/Hyperbolic, SpaceTree, Treemap • Network Pajek, JUNG, UCINet, SocialAction, NodeXL infosthetics.com flowingdata.com infovis.org www.infovis.net/index.php?lang=2
  • 14. 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
  • 15. Anscombe’s Quartet 1 2 3 4 x y x y x y x y Property Value 10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58 Mean of x 9.0 8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76 Variance of x 11.0 13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71 Mean of y 7.5 9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84 Variance of y 4.12 11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47 Correlation 0.816 14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04 Linear regression y = 3 + 0.5x 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
  • 17. LifeLines: Patient Histories www.cs.umd.edu/hcil/lifelines
  • 18. LifeLines2: Contrast+Creatine www.cs.umd.edu/hcil/lifelines
  • 19. LifeLines2: Align-Rank-Filter & Summarize www.cs.umd.edu/hcil/lifelines
  • 20. LifeLines2: Align-Rank-Filter & Summarize www.cs.umd.edu/hcil/lifelines2
  • 21. LifeFlow: Aggregation Strategy Temporal Categorical Data (4 records) LifeLines2 format Tree of Event Sequences LifeFlow Aggregation www.cs.umd.edu/hcil/lifeflow
  • 22. LifeFlow: Interface with User Controls
  • 23.
  • 24.
  • 25.
  • 26.
  • 27. Treemap: Gene Ontology + Space filling + Space limited + Color coding + Size coding - Requires learning (Shneiderman, ACM Trans. on Graphics, 1992 & 2003) www.cs.umd.edu/hcil/treemap/
  • 28. Treemap: Smartmoney MarketMap www.smartmoney.com/marketmap
  • 29. Market falls steeply Feb 27, 2007, with one exception
  • 30. Market falls steeply Sept 22, 2011, some exceptions
  • 31. Market mixed, February 8, 2008 Energy & Technology up, Financial & Health Care down
  • 32. Market rises, September 1, 2010, Gold contrarians
  • 33. Treemap: WHC Emergency Room (6304 patients in Jan2006) Group by Admissions/MF, size by service time, color by age
  • 34. 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
  • 35. Treemap: Nutritional Analysis www.hivegroup.com
  • 36. Office of National Coordinator: 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 - Alarms and Alerts Management www.cs.umd.edu/hcil/sharp
  • 37. 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
  • 38. Medication Reconciliation: Current Form Univ of Maryland HCIL tasks - Missing Laboratory Reports - Medication Reconciliation - Alarms and Alerts Management www.cs.umd.edu/hcil/sharp www.youtube.com/watch?v=ZGf1EiuIIIM
  • 40. Twinlist: Medication Reconciliation “Best reconciliation app I have ever seen” Dr. Shawn Murphy, PartnersHealthcare & Harvard Medical “Super-cool demo” Dr. Jonathan Nebeker, Univ of Utah & VA “Twinlist concept is brilliant” Dr. Kevin Hughes, Harvard Medical School Tiffany Chao, Catherine Plaisant, Ben Shneideman Based on class project of : Leo Claudino, Sameh Khamis, Ran Liu, Ben London, Jay Pujara Students of CMSC734 Information Visualization class www.youtube.com/watch?v=YoSxlKl0pCo
  • 41. NodeXL: Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl
  • 42. NodeXL: Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl
  • 43. NodeXL: Import Dialogs www.codeplex.com/nodexl
  • 44. Tweets at #WIN09 Conference: 2 groups
  • 46. ‘GOP’ tweets, clustered (red-Republicans)
  • 48. Analyzing Social Media Networks with NodeXL I. Getting Started with Analyzing Social Media Networks 1. Introduction to Social Media and Social Networks 2. Social media: New Technologies of Collaboration 3. Social Network Analysis II. NodeXL Tutorial: Learning by Doing 4. Layout, Visual Design & Labeling 5. Calculating & Visualizing Network Metrics 6. Preparing Data & Filtering 7. Clustering &Grouping III Social Media Network Analysis Case Studies 8. Email 9. Threaded Networks 10. Twitter 11. Facebook 12. WWW 13. Flickr 14. YouTube 15. Wiki Networks www.elsevier.com/wps/find/bookdescription.cws_home/723354/description
  • 49. UN Millennium Development Goals To be achieved by 2015 • 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
  • 50. 29th Annual Symposium May 22-23, 2012 www.cs.umd.edu/hcil
  • 51. 29th Annual Symposium May 22-23, 2012 www.cs.umd.edu/hcil @benbendc