The document summarizes research on visualizing temporal categorical data from electronic health records. It describes tools like LifeLines for visualizing a single patient record, LifeLines2 for searching and comparing multiple records, and Similan for similarity-based search. A new tool called LifeFlow is introduced for aggregating and visualizing patterns across large numbers of records. The research was conducted over 10+ years at the University of Maryland by researchers including Krist Wongsuphasawat, Taowei David Wang, Catherine Plaisant, and Ben Shneiderman.
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Finding Patterns in Temporal Data
1. FINDING PATTERNS
IN TEMPORAL DATA
osium!
CI L Symp
KRIST WONGSUPHASAWAT 27th H 010!
, 2
May 27
TAOWEI DAVID WANG
CATHERINE PLAISANT
BEN SHNEIDERMAN
HUMAN-COMPUTER INTERACTION LAB
UNIVERSITY OF MARYLAND
2. FINDING PATTERNS
IN TEMPORAL DATA
osium!
CI L Symp
KRIST WONGSUPHASAWAT 27th H 010!
, 2
May 27
TAOWEI DAVID WANG
CATHERINE PLAISANT
BEN SHNEIDERMAN
HUMAN-COMPUTER INTERACTION LAB
UNIVERSITY OF MARYLAND
3. TEMPORAL CATEGORICAL DATA
• A type of time series
Event! Category! Event!
Numerical!
Stock: Microsoft Patient ID: 45851737
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& Time
Arrival
Emergency
ICU
Floor
Exit
4. TEMPORAL CATEGORICAL DATA
Electronic Health Records: symptoms, treatment, lab test"
Traffic incident logs: arrival/departure time of each unit"
Student records: course, paper, proposal, defense, etc."
"
Others: web logs, usability study logs, etc."
5. 10+ years work on temporal visualization
(mostly on Electronic Health Records)
6. LIFELINES
D
SINGLE RECOR
[Plaisant et al. 1998]
http://www.cs.umd.edu/hcil/lifelines
9. EXAMPLE DATA
• Patient transfers
ARRIVAL Arrive the hospital
EMERGENCY Emergency room
ICU Intensive Care Unit
INTERMEDIATE Intermediate Medical Care
FLOOR Normal room
EXIT-ALIVE Leave the hospital alive
EXIT-DEAD Leave the hospital dead
18. FINDING “BOUNCE BACKS”
Before After
• Much faster to specify new query
• Visualizing the results gives better understanding
19. USER STUDIES: SEARCH
LifeLines2 Similan
Exact! Similarity-based!
MUST have A, B, C SHOULD have A, B, C
Query Query
Record#2 Record#2
more
Record#1 Record#1
similar
Record#3 Record#3
20. USER STUDIES: SEARCH
LifeLines2 Similan
Exact! Similarity-based!
MUST have A, B, C SHOULD have A, B, C
Query Query
1 Record#2 Record#2
more
Record#1 Record#1
similar
Record#3 Record#3