Information Visualization for Health Care

INFORMATION VISUALIZATION

@kristwongz

for healthcare

Krist wongsuphasawat

Department of Computer Science & Human-Computer Interaction Lab University of Maryland

INFORMATION VISUALIZATION INFO. VIS.

A picture is worth a thousand words.

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]!

Anscombe’s quartet

X Y

10.0 8.04

8.0 6.95

13.0 7.58

9.0 8.81

11.0 8.33

14.0 9.96

6.0 7.24

4.0 4.26

12.0 10.84

7.0 4.82

5.0 5.68

X Y

10.0 9.14

8.0 8.14

13.0 8.74

9.0 8.77

11.0 9.26

14.0 8.10

6.0 6.13

4.0 3.10

12.0 9.13

7.0 7.26

5.0 4.74

X Y

10.0 7.46

8.0 6.77

13.0 12.74

9.0 7.11

11.0 7.81

14.0 8.84

6.0 6.08

4.0 5.39

12.0 8.15

7.0 6.42

5.0 5.73

X Y

8.0 6.58

8.0 5.76

8.0 7.71

8.0 8.84

8.0 8.47

8.0 7.04

8.0 5.25

19.0 12.50

8.0 5.56

8.0 7.91

8.0 6.89

#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

#1 #2 #3 #4

Identical statistics


#1 #2 #3 #4

0!

2!

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12!

0! 5! 10! 15!0!1!2!3!4!5!6!7!8!9!

10!

0! 5! 10! 15!0!

2!

4!

6!

8!

10!

12!

14!

0! 5! 10! 15!0!

2!

4!

6!

8!

10!

12!

14!

0! 10! 20!

But very different

INFORMATION VISUALIZATION

Visual representation

User interactions +

click, drag, zoom, select, etc.!

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]!

EMRs A lot of data!

INFO. VIS. + Help understand data!

One patient

x

Example of EMRs System

One patient

x Lifelines

[Plaisant et al. 1998]!http://www.cs.umd.edu/hcil/lifelines!

LifeLines

Faster decision Better recall

Lifelines user study

x One patient

[Plaisant et al. 1998]!http://www.cs.umd.edu/hcil/lifelines!

Lifelines

Demographic -  Gender -  Age -  …

Medical Events* -  Emergency room on Jan 15 -  Surgery on Oct 1 -  …

Multiple patients

x Lifelines 2

[Wang et al. 2008, 2009]!http://www.cs.umd.edu/hcil/lifelines2!

x x x x

Contrast-induced nephropathy

Case study

x Radiographic Examination (Medical Imaging) e.g. X-ray using a contrast agent e.g. Iodine, Barium

Damage to the kidney

Creatinine -  Amino Acid -  Levels in blood reflect kidney function

CREAT- Normal level of Creatinine RADIOLOGY Radiographic exam (with contrast) CREAT-H High level of Creatinine (bad)

Data : contrast & creatinine

x Time

Jan Feb Mar Apr

LifeLines2

Video demo Data Analysis with Lifelines2

Multiple patients

x [Wang et al. 2008, 2009]!

http://www.cs.umd.edu/hcil/lifelines2!

x x x x Lifelines 2

search from medical events

x Lifelines 2

[Wang et al. 2008, 2009]!http://www.cs.umd.edu/hcil/lifelines2!

x x x x

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

Data : patients transfer

Improve the Quality of Care

Emergency Department Pa$ent ID: 45851733

12/02/2008 14:26 Arrival 12/02/2008 14:26 Emergency 12/02/2008 22:44 ICU 12/05/2008 05:07 Floor 12/08/2008 10:02 Floor 12/14/2008 06:19 Discharge

Pa$ent ID: 45851732 12/02/2008 14:26 Arrival 12/02/2008 14:26 Emergency 12/02/2008 22:44 ICU 12/05/2008 05:07 Floor 12/08/2008 10:02 Floor 12/14/2008 06:19 Discharge

Pa$ent ID: 45851731 12/02/2008 14:26 Arrival 12/02/2008 14:26 Emergency 12/02/2008 22:44 ICU 12/05/2008 05:07 Floor 12/08/2008 10:02 Floor 12/14/2008 06:19 Discharge

6,000+ patients per month

Find “Bounce backs”

within 2 days

ICU Floor ICU

task

High-level questions Arrival

ICU

?

? ?

Limitations

x x x x x x x x x x x x x x x x x x x

x x x x

patients

overview

x

LifeFlow

[Wongsuphasawat et al. 2011]!http://www.cs.umd.edu/hcil/lifeflow!

x x x x x x x x x x

Video demo Creating LifeFlow

LifeFlow

Video demo Data Analysis with LifeFlow

INFO. VIS. EMRs + A lot of data!

Help understand data!

rich

collected large eye

visual representation interactions

Save more lives

@kristwongz Krist wongsuphasawat

[email protected]!http://www.cs.umd.edu/hcil/temporalviz!

LifeFlow Lifelines

Lifelines 2

and more…

Patientslikeme / i2b2 / BTRIS Many case studies / etc.

Other examples Visualizations in the Medical Domain

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

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

Information Visualization for Health Care

Technology

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