Interactive Visual Discovery in Event Analytics: Electronic Health Records & Others

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Interactive Visual Discovery
in Event Analytics:
Electronic Health Records &
Other Applications
Ben Shneiderman
ben@cs.umd.edu
Founding Director (1983-2000), Human-Computer Interaction Lab
Professor, Department of Computer Science
Member, Institute for Advanced Computer Studies
Interdisciplinary research community
- Computer Science & Info Studies
- Psych, Socio, Educ, Jour & MITH
www.cs.umd.edu/hcil
vimeo.com/72440805
Design Issues
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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
• Visualization
Search
www.awl.com/DTUI
Sixth Edition: 2016
Information Visualization & Visual Analytics
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Visual bands
• Human percle
• Trend, clus..
• Color, size,..
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Three challe
• Meaningful vi
• Interaction: w
• Process mo
1999
Information Visualization & Visual Analytics
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Visual bandwidth is enormous
• Human perceptual skills are remarkable
• Trend, cluster, gap, outlier...
• Color, size, shape, proximity...
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Three challenges
• Meaningful visual displays of massive da
• Interaction: widgets & window coordinati
• Process models for discovery
1999
2004
Information Visualization & Visual Analytics
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Visual bandwidth is enormous
• Human perceptual skills are remarkable
• Trend, cluster, gap, outlier...
• Color, size, shape, proximity...
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Three challenges
• Meaningful visual displays of massive data
• Interaction: widgets & window coordination
• Process models for discovery
1999
2004
2010
Spotfire: Retinol’s role in embryos & vision
Spotfire: DC natality data
http://registration.spotfire.com/eval/default_edu.asp
10M - 100M pixels: Large displays
16M pixels: My New Workstation
100M-pixels & more
1M-pixels & less
Small mobile devices
Information Visualization: Mantra
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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
(The Eyes Have It, IEEE VL, 1996)
SciViz .
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1-D Linear
2-D Map
3-D World
Document Lens, SeeSoft, Info Mural
InfoViz
Information Visualization: Data Types
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Multi-Var
Temporal
Tree
Network
Spotfire, Tableau, Qliktech, Visual Insight
flowingdata.com
infosthetics.com
visual.ly
GIS, ArcView, PageMaker, Medical imagery
CAD, Medical, Molecules, Architecture
EventFlow, TimeSearcher, Palantir, RecordedFuture
Windows Explorer, SpaceTree, Treemap
Pajek, UCINet, NodeXL, Gephi, Tom Sawyer
visualcomplexity.com
perceptualedge.com
visualizing.org
eagereyes.org
datakind.org
infovis.org
Statistical Methods & Visual Analytics
Statistical Methods
Machine Learning
Data
Visual Analytics
Data
Inspect for Errors
 Clean/Filter
Algorithm
Model
Explore for Patterns, Find Clusters,
Probe Anomalies, Split Groups,
Sharpen Analytic Focus
Questions, Observations,
Hypotheses & Insights
EHRs: Temporal data
Numerical Events
Stock: Microsoft
04/26/2010 10:00
04/26/2010 10:15
04/26/2010 10:30
04/26/2010 10:45
04/26/2010 11:00
31.03
31.01
31.02
31.08
31.16
Categorical Events
Patient ID: 45851737
12/02/2008 14:26 Arrival
12/02/2008 14:36 Emergency
12/02/2008 22:44 ICU
12/05/2008 05:07 Floor
12/14/2008 06:19 Exit
Time
Arrival
Emergency
ICU
Floor
Exit
Patient Histories: Our Research
Tool
Event
Types
Records
Display
LifeLines
Points,
Intervals
One
Individual
LifeLines2
Points
Many
Individual,
Summary
Similan
Points
Many
Individual
LifeFlow
Points
Many
Individual,
Aggregate
EventFlow
Points,
Intervals
Many
Individual,
Aggregate
www.cs.umd.edu/hcil/toolname
LifeLines: Patient Histories
www.cs.umd.edu/hcil/lifelines
LifeLines2: Align-Rank-Filter & Summarize
www.cs.umd.edu/hcil/lifelines2
LifeFlow: Interface with User Controls
Children’s Hospital in DC: Trauma Bay
EventFlow
Airway
Breathing
Circulation
Disability
Secondary
Survey
www.cs.umd.edu/hcil/eventflow
Children’s Hospital Trauma Care: EventFlow
Children’s Hospital Trauma Care: EventFlow
Children’s Hospital Trauma Care: EventFlow
CDC&P: Karlyn Beer’s Giardia Study
CDC&P: Karlyn Beer’s Giardia Study
UM-Baltimore: CHIB Projects
Radiation Therapy:
Metastatic Prostate Cancer
Warfarin Usage in Patients
with Traumatic Brain Injury
Yale Medical: Seth Powsner & Tami Sullivan
Case Studies
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DEVIATION, WORKFLOW: Children’s Hospital
CONTRAST: Washington Hospital Center
EPILEPSY: Rennes University Hospital
VIOLENCE: Yale University Hospital Center
ASTHMA: Army Pharmacovigilance Center
DRUG: Robert H. Smith School of Business
PROSTATE CANCER: Univ of Md School of Pharmacy
ACTIVITY LOGS: Leidos
CYBERSECURITY: Caffeine Security Consultants
EMPLOYEE CAREERS: IBM Human Resources
TRAFFIC INCIDENT MANAGEMENT: Baltimore Metro
18 Case Studies
Extraction
Folding
Pattern
Simplification
Multistep
www.cs.umd.edu/hcil/eventflow
Recent Progress
• EventFlow
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Hierarchical Event Aggregation
Sharpening Analytic Focus
Simplified Overviews
Event Category Matrix
Workflow Management
• CoCo (Cohort Comparison)
• Taxonomy of Metrics
• High-Volume Hypothesis Testing
Future Directions: EventFlow
• Refine software to add business features
• Make backend database
• Scalability of many kinds
• Validation across usage domains
• Build community
www.cs.umd.edu/hcil/eventflow
Cohort Comparison: Dual EventFlow
Cohort Comparison: CoCo
www.cs.umd.edu/hcil/coco
Thanks!
Catherine Plaisant
• LifeLines
• LifeLines2 (David Wang)
• LifeFlow (Krist Wongsuphasawat)
• EventFlow team (Megan Monroe, Chris Imbriano)
 Sana Malik, Fan Du, etc.
• CoCo (Sana Malik)
Sponsors: NIH, Oracle, CHIB, Adobe, Leidos
@benbendc
EventFlow Workshop May 26, 2016
hcil.umd.edu/eventflow-workshop-2016/
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