VISUAL ANALYTICS IN HEALTHCAREPAYAL PATEL

VISUAL ANALYTICS

Visual Analyti

cs

Visual-

ization

Data Analy

sis

Human

Factors

VISUAL ANALYTICS

Makes data consumable, accessible,

and meaningful

Transform raw data into

information and

knowledge

Helps with information

overload

CASE STUDIES

Chronic headache patient support

Sepsis Data Dashboard

Analytic Injury Dashboard (AID)

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

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

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/analyt

ical dashboard that empower

stakeholders to synthesize critical

information to strengthen

child/youth injury surveillance,

prevention, and future research

REFERENCES

Kamal, Noreen. "Big Data and Visual Analytics in Health and Medicine: From Pipe Dream to Reality." Journal of Health & Medical Informatics J Health Med Inform 05.05 (2014): n. pag. Web. <http://www.omicsonline.org/open-access/big-data-and-visual-analytics-in-health-and-medicine-from-pipe-dream-2157-7420.1000e125.pdf>.

Ledesma, Andres, Hannu Nieminen, Paivi Valve, Miikka Ermes, Holly Jimison, and Misha Pavel. "The Shape of Health: A Comparison of Five Alternative Ways of Visualizing Personal Health and Wellbeing." 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2015): n. pag. Web. <https://arxiv.org/pdf/1604.01797.pdf>.

Shneiderman, Ben, Catherine Plaisant, and Bradford W. Hesse. "Improving Healthcare with Interactive Visualization." Computer 46.5 (2013): 58-66. Web. <https://www.cs.umd.edu/~ben/Shneiderman2013Improving.pdf>.

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>.