1. INFORMATION VISUALIZATION
for healthcare
Krist wongsuphasawat
@kristwongz
Department of Computer Science & Human-Computer Interaction Lab
University of Maryland

2. INFORMATION VISUALIZATION
INFO. VIS.

3. A picture is worth a thousand words.

4. INFORMATION VISUALIZATION
INFO. VIS.
“ Using visual representations and interaction techniques,
which take advantage of the human eye’s
broad bandwidth pathway into the mind,
to allow users to see, explore, and understand
large amounts of information at once.”
[Wikipedia]!

5. Anscombe’s quartet
#1 #2 #3 #4
X
Y
X
Y
X
Y
X
Y
10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58
8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76
13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71
9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84
11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47
14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04
6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25
4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50
12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56
7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91
5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89

6. Anscombe’s quartet
#1 #2 #3 #4
Property
Value
Mean of X 11.0
Variance of X 10.0
Mean of Y 7.5
Variance of Y 3.75
Correlation between X and Y 0.816
Linear regression y = 3.0 +0.5x
Identical statistics

7. Anscombe’s quartet
#1 #2 #3 #4
12! 10! 14! 14!
9!
10! 12! 12!
8!
7! 10! 10!
8!
6! 8! 8!
6! 5!
4! 6! 6!
4! 3! 4! 4!
2! 2!
2! 2!
1!
0! 0! 0! 0!
0! 5! 10! 15! 0! 5! 10! 15! 0! 5! 10! 15! 0! 10! 20!
But very different

8. INFORMATION VISUALIZATION
Visual representation
+
User interactions
click, drag, zoom, select, etc.!

9. Healthcare
Electronic medical records (EMRs)
“ To improve the quality of our health care while lowering its cost,
we will make the immediate investments necessary to ensure that,
within five years, all of America's medical records are computerized.
This will cut waste, eliminate red tape and reduce the need
to repeat expensive medical tests.
But it just won't save billions of dollars and thousands of jobs;
it will save lives by reducing the deadly but preventable medical errors
that pervade our health-care system.”
[President Barack Obama – Jan 2009]!

10. EMRs + INFO. VIS.
A lot of data! Help understand data!

11. One patient
x

12. Example of EMRs System

13. Lifelines
One patient
x
[Plaisant et al. 1998]!
http://www.cs.umd.edu/hcil/lifelines!

14. LifeLines

15. LifeLines

16. LifeLines

17. LifeLines

18. LifeLines

19. Lifelines user study
Faster decision
Better recall

20. Lifelines
One patient
Demographic
- Gender
- Age
- …
x
[Plaisant et al. 1998]!
Medical Events*
- Emergency room on Jan 15
- Surgery on Oct 1
- …
http://www.cs.umd.edu/hcil/lifelines!

21. Lifelines 2
Multiple patients
xxxxx
[Wang et al. 2008, 2009]!
http://www.cs.umd.edu/hcil/lifelines2!

22. Case study
Contrast-induced nephropathy
Radiographic Examination
(Medical Imaging)
e.g. X-ray
using a contrast agent
e.g. Iodine, Barium x
Creatinine
- Amino Acid
Damage to the kidney
- Levels in blood reflect kidney function

23. Data : contrast & creatinine
CREAT- Normal level of Creatinine
RADIOLOGY Radiographic exam (with contrast)
CREAT-H High level of Creatinine (bad)
x
Time
Jan Feb Mar Apr

24. LifeLines2

27. Video demo
Data Analysis with Lifelines2

28. Lifelines 2
Multiple patients
xxxxx
[Wang et al. 2008, 2009]!
http://www.cs.umd.edu/hcil/lifelines2!

29. Lifelines 2
search from medical events
xxxxx [Wang et al. 2008, 2009]!
http://www.cs.umd.edu/hcil/lifelines2!

30. Data : patients transfer
ARRIVAL Arrive the hospital
EMERGENCY Emergency room
ICU Intensive Care Unit
FLOOR Normal room
EXIT-ALIVE Leave the hospital alive
EXIT-DEAD Leave the hospital dead

31. Improve the Quality of Care
Pa$ent
ID:
45851733
Pa$ent
ID:
45851732
12/02/2008
14:26
Arrival
12/02/2008
14:26I
D:
45851731
Pa$ent
Emergency
Emergency Department
12/02/2008
14:26
Arrival
6,000+
12/02/2008
22:44
ICU
mergency
12/02/2008
14:26
E
12/05/2008
05:071Floor
Arrival
12/02/2008
4:26
12/02/2008
22:44
ICU
mergency
12/02/2008
14:26
E
12/08/2008
10:02
Floor
12/05/2008
05:07
Floor
12/02/2008
22:44
ICU
12/14/2008
06:19
Discharge
12/08/2008
10:02
Floor
12/05/2008
05:07
Floor
12/14/2008
06:19
Discharge
12/08/2008
10:02
Floor
12/14/2008
06:19
Discharge
patients per month

32. task
Find “Bounce backs”
ICU Floor ICU
within 2 days
Limitations
High-level questions
Arrival
?
ICU
? ?

33. patients
x x x xx x x x xx
x xx x x x
x x x x x x x

34. LifeFlow
overview
xx
x x
xx x
x x xx
[Wongsuphasawat et al. 2011]!
http://www.cs.umd.edu/hcil/lifeflow!

35. Video demo
Creating LifeFlow

38. LifeFlow

39. Video demo
Data Analysis with LifeFlow

40. collected visual representation
large eye interactions
rich
EMRs + INFO. VIS.
A lot of data! Help understand data!
and more…
Lifelines LifeFlow
Save more lives
Lifelines 2
Patientslikeme / i2b2 / BTRIS
Many case studies / etc.
Krist wongsuphasawat
@kristwongz
kristw@cs.umd.edu!
http://www.cs.umd.edu/hcil/temporalviz!

41. Other examples
Visualizations in the Medical Domain

42. MIDGAARD
hFp://www.infovis-­‐wiki.net/index.php?$tle=MIDGAARD

43. HemoVis
hFp://people.seas.harvard.edu/~borkin/HemoVis/