Interactive Visual Discovery in Event Analytics: Electronic Health Records & Other Applications Ben Shneiderman Founding Director (1983-2000),

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Presentation transcript:

Interactive Visual Discovery in Event Analytics: 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 Sixth Edition: 2016 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

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

Children’s Hospital Trauma Care: EventFlow

Yale Medical: Seth Powsner & Tami Sullivan

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

Case Studies 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

Extraction Folding Pattern Simplification Multistep 18 Case Studies

Recent Progress EventFlow 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 Launch startup company?

Cohort Comparison: Dual EventFlow

Cohort Comparison: 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 Workshop Website