Interactive Visual Discovery in Temporal Event Sequences: Electronic Health Records & Other Applications Ben Shneiderman Founding Director.

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Presentation transcript:

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

Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Educ, Jour & MITH vimeo.com/

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 Fifth Edition: 2010 Visualization

Information Visualization & Visual Analytics Visual bands Human percle Trend, clus.. Color, size,.. Three challe Meaningful vi Interaction: w Process mo 1999

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

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

Spotfire: Retinol’s role in embryos & vision

Spotfire: DC natality data

10M - 100M pixels: Large displays

16M pixels: My New Workstation

100M-pixels & more

1M-pixels & less Small mobile devices

Information Visualization: Mantra Overview, zoom & filter, details-on-demand (The Eyes Have It, IEEE VL, 1996)

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 EventFlow, TimeSearcher, Palantir, RecordedFuture Tree Windows Explorer, SpaceTree, Treemap Network Pajek, UCINet, NodeXL, Gephi, Tom Sawyer InfoViz SciViz. flowingdata.com visualcomplexity.com eagereyes.org infosthetics.com perceptualedge.com datakind.org visual.ly visualizing.org infovis.org

EventFlow Team: Oracle support

Patient ID: /02/ :26 Arrival 12/02/ :36 Emergency 12/02/ :44 ICU 12/05/ :07 Floor 12/14/ :19 Exit Time Emergency ICU Floor Exit EHRs: Temporal data 04/26/ : /26/ : /26/ : /26/ : /26/ : Categorical Events Stock: Microsoft Numerical Events Arrival

Patient Histories: Our Research ToolEvent Types RecordsDisplay LifeLinesPoints, Intervals OneIndividual LifeLines2PointsManyIndividual, Summary SimilanPointsManyIndividual LifeFlowPointsManyIndividual, Aggregate EventFlowPoints, Intervals ManyIndividual, Aggregate

LifeLines: Patient Histories

LifeLines2: Align-Rank-Filter & Summarize

LifeFlow: Interface with User Controls

Children’s Hospital in DC: Trauma Bay

EventFlow Airway Breathing Circulation Disability Secondary Survey

EventFlow: Temporal Events

Number of Records Time

Children’s Hospital Trauma Care: EventFlow

UM-Baltimore: CHIB Projects Radiation Therapy: Metastatic Prostate Cancer Warfarin Usage in Patients with Traumatic Brain Injury

Yale Medical: Seth Powsner & Tami Sullivan

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?

Cohort Comparison: Dual EventFlow

Cohort Comparison: CoCo

Thanks for getting us to this stage Catherine Plaisant LifeLines LifeLines2 (David Wang) LifeFlow (Krist Wongsuphasawat) EventFlow team  Megan Monroe, Chris Imbriano  Sana Malik, Fan Du, Chris Musialek, Christi Capati, Duke Chan THANKS! Sponsors: NIH, Oracle, CHIB

@benbendc Workshop Website