Interactive Visual Discovery in Temporal Event Sequences:
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1 Interactive Visual Discovery in Temporal Event Sequences: Electronic Health Records & Other Applications Ben Shneiderman Founding Director ( ), Human-Computer Interaction Lab Professor, Department of Computer Science Member, Institute for Advanced Computer Studies
2 Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Educ, Jour & MITH vimeo.com/
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 Help, tutorials, training Search Visualization Fifth Edition: 2010
4 Information Visualization & Visual Analytics Visual bands Human percle Trend, clus.. Color, size,.. Three challe Meaningful vi Interaction: w Process mo 1999
5 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
6 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
7 Spotfire: Retinol s role in embryos & vision
8 Spotfire: DC natality data
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10 10M - 100M pixels: Large displays
11 16M pixels: My New Workstation
12 100M-pixels & more
13 1M-pixels & less Small mobile devices
14 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 (The Eyes Have It, IEEE VL, 1996)
15 Information Visualization: Data Types InfoViz SciViz. 1-D Linear Document Lens, SeeSoft, Info Mural 2-D Map 3-D World GIS, ArcView, PageMaker, Medical imagery CAD, Medical, Molecules, Architecture Multi-Var Spotfire, Tableau, Qliktech, Visual Insight Temporal Tree Windows Explorer, SpaceTree, Treemap Network Pajek, UCINet, NodeXL, Gephi, Tom Sawyer EventFlow, TimeSearcher, Palantir, RecordedFuture flowingdata.com visualcomplexity.com eagereyes.org infosthetics.com perceptualedge.com datakind.org visual.ly visualizing.org infovis.org
16 EventFlow Team: Oracle support
17 EHRs: Temporal data Numerical Events Categorical Events Stock: Microsoft 04/26/ : /26/ : /26/ : /26/ : /26/ : Patient ID: /02/ :26 Arrival 12/02/ :36 Emergency 12/02/ :44 ICU 12/05/ :07 Floor 12/14/ :19 Exit Time Arrival Emergency ICU Floor Exit
18 Patient Histories: Our Research Tool LifeLines Event Types Points, Intervals Records One Display Individual LifeLines2 Points Many Individual, Summary Similan Points Many Individual LifeFlow Points Many Individual, Aggregate EventFlow Points, Intervals Many Individual, Aggregate
19 LifeLines: Patient Histories
20 LifeLines2: Align-Rank-Filter & Summarize
21 LifeFlow: Interface with User Controls
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24 Children s Hospital in DC: Trauma Bay
25 EventFlow Airway Breathing Circulation Disability Secondary Survey
26 EventFlow: Temporal Events
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36 Number of Records Time
37 Children s Hospital Trauma Care: EventFlow
38 Children s Hospital Trauma Care: EventFlow
39 Children s Hospital Trauma Care: EventFlow
40 UM-Baltimore: CHIB Projects Radiation Therapy: Metastatic Prostate Cancer Warfarin Usage in Patients with Traumatic Brain Injury
41 Yale Medical: Seth Powsner & Tami Sullivan
42 Future Directions: EventFlow Refine software to add business features Make backend database Scalability of many kinds Validation across usage domains Build community Launch startup company?
43 Cohort Comparison: Dual EventFlow
44 Cohort Comparison: CoCo
45 Thanks for getting us to this stage Catherine Plaisant LifeLines LifeLines2 (David Wang) LifeFlow (Krist Wongsuphasawat) EventFlow team à Megan Monroe, Chris Imbriano à Sana Malik, Fan Du, Chris Musialek, Christi Capati, Duke Chan THANKS! Sponsors: NIH, Oracle, CHIB
46 @benbendc Workshop Website
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