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Visualizing T emporal Patterns also including… Twinlist for Medication R econciliation

Visualizing T emporal Patterns also including… Twinlist for Medication R econciliation . C atherine Plaisant. Human- C omputer Interaction Lab U niversity Of Maryland , College Park. HFES Baltimore – March 12 2013. Interdisciplinary research community - Computer Science

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Visualizing T emporal Patterns also including… Twinlist for Medication R econciliation

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  1. Visualizing Temporal Patternsalso including… Twinlist for Medication Reconciliation Catherine Plaisant Human-Computer Interaction Lab University Of Maryland, College Park HFES Baltimore – March 12 2013

  2. Interdisciplinary research community - Computer Science - Information Studies - Psychology, Sociology, Engineering, etc. in College Park MD ~ www.cs.umd.edu/hcil

  3. Information Visualization Compact graphical presentation and user interface for manipulating large numbers of items (102 - 106), Enables users to make discoveries, decisions, or explanations about patterns or groups of items Visual bandwidth is enormousHuman perceptual skills are remarkable

  4. Spotfire: e.g. Retinol’s role in embryos & vision Revealed the previously unknown involvement of the retinol binding protein RBP1 in cell cycle control.(Stubbs S, & Thomas N. 2006 Methods in Enzymology; 414:1-21.)

  5. Treemap: e.g. SmartmoneyMarketMap www.smartmoney.com/marketmap

  6. e.g. Market falls 311 points, with a few exceptions

  7. e.g. Market mixedEnergy & Technology up, Financial & Health Care down

  8. e.g. NCHS data Size = #Deaths per 100 000, in 1998 Color = Rate of change compared to 1981

  9. LifeLines – Single Patient [Plaisant 1998] - PAPERS AND VIDEOS at www.cs.umd.edu/hcil/lifelines

  10. Important issue because of large time range Recursive aggregation mechanism (set of events) --- (summary event) Include Summarization

  11. Lifelines Single Record [Plaisant et al. 1998] http://www.cs.umd.edu/hcil/lifelines

  12. Lifelines 2 record record record record record [Wang et al. 2008, 2009] http://www.cs.umd.edu/hcil/lifelines2

  13. Lifeflow record visualize record record Display the aggregation record record record record record Aggregate Merge multiple records into tree

  14. Temporal data NUMERICAL VS. CATEGORICAL Patient ID: 45851737 Patient ID: 45851737 04/26/2010 10:00 31.03 04/26/2010 10:15 31.01 04/26/2010 10:30 31.02 04/26/2010 10:45 31.08 04/26/2010 11:00 31.16 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

  15. Alignment • E.g. align by arrival Time August June July Patient #45851737 Arrival Emergency ICU Floor Exit Patient #43244997 Arrival Emergency ICU Floor Exit

  16. Alignment • E.g. align by arrival Time 2 M 0 1 M Patient #45851737 Arrival Emergency ICU Floor Exit Patient #43244997 Arrival Emergency ICU Floor Exit

  17. Lifelines2 • Introduce powerful combination of simple operatorsAlign, Rank, Filter, and Summarize • Multiple records simultaneously visible • Align by key events • Rank by frequency • Filter by events sequences • Provide summaries Integrated in i2b2 and BTRIS Open source The work of Dave Wang [Wang et al. 2008, 2009] - www.cs.umd.edu/hcil/lifelines2

  18. Lifeflow record visualize record record Display the aggregation record record record record record Aggregate Merge multiple records into tree

  19. Lifelines2: Specific query “Bounce backs” • Lifeflow: Overview of sequences Arrival ? ICU Floor ICU ICU ? ? within 2 days

  20. blabla

  21. DEMO- LIFEFLOW • Data = Patient transfers within hospital

  22. Backup Video www.cs.umd.edu/hcil/eventflow

  23. Twinlist Facilitating Medication Reconciliationwith Animation and Spatial Layout

  24. Medication reconciliation • Develop list of current medications • Develop list of medications to be prescribed • Compare lists • Make clinical decision based on comparison • Communicate the new list to appropriate caregivers and to patient One definition from: http://www.ihs.gov/cio/ehr/index.cfm?module=medication_reconciliation

  25. Medication reconciliationScenario: Hospital discharge • Intake Hospital • What’s unique? • What’s identical? • What’s equivalent?

  26. Levels of equivalences “Automated medication reconciliation and complexity of care transitions”Bozzo Silva, Bernstam, Markowitz, Johnson, Zhang and Herskovic, AMIA 2011

  27. TWINLIST Prototype originally developed by Tiffany ChaoCheck for newer VIDEOS at www.cs.umd.edu/hcil/sharpor search YouTube for Twinlist (and pick newest version)CODE AVAILABLE ON REQUEST (plaisant@cs.umd.edu)

  28. THANK YOU AcknowledgmentsBen ShneidermanStudents past and present: Megan Monroe, RongjianLan, Tiffany Chao, Johnny Wu KristWongsuphasawat, David Wang Clinicians/Partners Zach Hettinger (MI2),Seth Powsner(Yale); Tamra Meyer (ARMY PharmacoVigilanceCenter) Elmer V. Bernstam, Jorge Herskovic, Todd R. Johnson (SharpC), and many more Sponsors Oracle Health Science National Institutes of Health (RC1CA147489-02) Office of the National Coordinator for Health Information Technology (SHARP ~ #10510592) www.cs.umd.edu/hcil www.cs.umd.edu/hcil/eventflow www.cs.umd.edu/hcil/sharp

  29. THANK YOU plaisant@cs.umd.eduJoin us forHCIL symposium - May 22-23 www.cs.umd.edu/hcil/soh Includes Medical Informatics WorkshopAlso projects on wrong patient selection, results management, risk communication www.cs.umd.edu/hcil www.cs.umd.edu/hcil/eventflow www.cs.umd.edu/hcil/sharp

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