1. Interactive Event Sequence Query and Transformation
Megan Monroe, Sana Malik, Chris Imbriano, Fan Du, Catherine Plaisant, and Ben Shneiderman

2. Temporal Event Data 6:01am Coffee 11:01pm Netflix Me: 6:00am Wake Up
6:02am – 11:00pm
Work on Dissertation

3. Temporal Event Data 6:01am Coffee 11:01pm Netflix Me: 6:00am Wake Up
6:02am – 11:00pm
Work on Dissertation

4. Temporal Event Data 6:01am Coffee 11:01pm Netflix Me: 6:00am Wake Up
6:02am – 11:00pm
Work on Dissertation

5. EventFlow

10. EventFlow
Check Airway
Breath Sounds
Pulse
GCS
Secondary Survey

20. Time
Number of Records

21. EventFlow

22. Data
Analysis

23. Data
Analysis
+ Visualization

24. Data
Analysis
+ Visualization

25. Analysis +
Viz
Insight

26. Data
Analysis
+ Visualization

27. Insight
$#!%!
Analysis +
Viz

28. Data
Hi.
Analysis
+ Visualization

29. 1 2 3
QUERY

30. 1 2 3

31. 1 2
10 records selected 3

32. 1 2 3
Monroe et al., CHI, 2013.

33. English
Actual Query OR
A overlaps B

34. LABA

35. New LABA

36. Other
New LABA

37. Other
New LABA
Other

55. QUERY

56. QUERY
TRANSFORMATION

57. Data doesn’t match study perspective

58. Data doesn’t match study perspective

59. Monroe et al., AMIA VAHC Workshop, 2013.

60. 5 d

62. 3 mo

68. Data
Analysis
+ Visualization

69. Query + Transformation
Data
Query + Transformation
Analysis
+ Visualization

70. Query + Transformation
Data
Query + Transformation
+ Visualization
Analysis
+ Visualization

71. EventFlow

72. Future work

73. Contact Me: Megan Monroe madeyjay@umd.edu