This document discusses the use of visual analytics in healthcare. It provides three case studies of using visual analytics: 1) supporting chronic headache patients by providing interactive visualizations of daily activities and their impact on conditions, 2) maintaining sepsis data dashboards through automated processes to allow robust visualizations of sepsis processes and outcomes, and 3) creating an interactive analytic injury dashboard to empower stakeholders to synthesize information to strengthen child injury surveillance, prevention and research. Visual analytics transforms raw data into meaningful information by making data accessible and helping address information overload.

1. VISUAL ANALYTICS IN HEALTHCARE
PAYAL PATEL

2. VISUAL ANALYTICS
Visual
Analytics
Visual-
ization
Data
Analysis
Human
Factors

3. VISUAL ANALYTICS
Makes data
consumable, accessible,
and meaningful
Transform raw data into
information and
knowledge
Helps with information
overload

4. CASE STUDIES
Chronic headache patient support
Sepsis Data Dashboard
Analytic Injury Dashboard (AID)

5. CASE STUDY 1:
SUPPORTING CHRONIC HEADACHE PATIENTS W/ VISUAL ANALYTICS
Empower
patient with
knowledge
Engage patient
with interactive
visualization
Patient’s are
generally
dependent on
clinician’s
advices to
improve
condition
Goal: interactive
data visualizations
that show hidden
patterns of chronic
trends so the
patient can review
how their daily
activities impact
their chronic
conditions

6. CASE STUDY 2:
SEPSIS DATA DASHBOARD
Sepsis: a
systematic
inflammatory
response to
infection
Dashboards are
maintained
through an
automated
process.
Increased
speed and
consistency of
analysis
Outcome:
Creation of data
dashboards that
allow robust
visualizations of
the processes and
outcomes
associated with
sepsis

7. CASE STUDY 3:
ANALYTIC INJURY DASHBOARD
Decision
Support Tool
Focus:
application of
visual analytics
to public
health issues,
specifically
child and
youth injuryGroup
analytics
method: SMEs
and VAEs
Results:
interactive/analytical
dashboard that
empower
stakeholders to
synthesize critical
information to
strengthen
child/youth injury
surveillance,
prevention, and
future research

8. REFERENCES
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<https://arxiv.org/pdf/1604.01797.pdf>.
 Shneiderman, Ben, Catherine Plaisant, and Bradford W. Hesse. "Improving Healthcare with Interactive
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 Stadler, Jennifer G., Kipp Donlon, Jordan D. Siewert, Tessa Franken, and Nathaniel E. Lewis. "Improving the Efficiency and Ease
of Healthcare Analysis Through Use of Data Visualization Dashboards." Big Data 4.2 (2016): 129-35. Web.
<http://online.liebertpub.com/doi/pdf/10.1089/big.2015.0059>.
 Rahman, S.M Waliur, Rahul Kamal Bhaskar, Frank Maurer, and Anthony Tang. "Supporting Chronic Headache Patients with
Visual Analytics." (2014): n. pag. Web. <http://hcitang.org/papers/2014-dis2014workshop-chronic-headaches.pdf>.