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Visualization and the Big Health Data Storm Chris White Sr. Vice President FEi Systems

Visualization and the Big Health Data Storm

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Visualization and the Big Health Data Storm. Chris White Sr. Vice President FEi Systems. Source : Anscombe’s Quartet. Brain Compatible Data. Visualization makes data quicker to consume Images recognition is a 100 millisecond process – ( Aude Oliva 1994 data study). - PowerPoint PPT Presentation

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Page 1: Visualization and the  Big  Health Data Storm

Visualization and the Big Health Data Storm

Chris WhiteSr. Vice PresidentFEi Systems

Page 2: Visualization and the  Big  Health Data Storm

x y x y x y x y10.00 8.04 10.00 9.14 10.00 7.46 8.00 6.58

8.00 6.95 8.00 8.14 8.00 6.77 8.00 5.7613.00 6.58 13.00 8.74 13.00 12.74 8.00 7.71

9.00 8.81 9.00 8.77 9.00 7.11 8.00 8.8411.00 8.33 11.00 9.29 11.00 7.81 8.00 8.4714.00 9.96 14.00 8.10 14.00 8.84 8.00 7.04

6.00 7.24 6.00 6.13 6.00 6.08 8.00 5.254.00 4.26 4.00 3.10 4.00 5.39 19.00 12.50

12.00 10.84 12.00 9.13 12.00 8.15 8.00 5.567.00 4.82 7.00 7.26 7.00 6.42 8.00 7.915.00 5.68 5.00 4.74 5.00 5.73 8.00 6.89

I II III IV

Page 3: Visualization and the  Big  Health Data Storm
Page 4: Visualization and the  Big  Health Data Storm

x y x y x y x y10.00 8.04 10.00 9.14 10.00 7.46 8.00 6.58

8.00 6.95 8.00 8.14 8.00 6.77 8.00 5.7613.00 6.58 13.00 8.74 13.00 12.74 8.00 7.71

9.00 8.81 9.00 8.77 9.00 7.11 8.00 8.8411.00 8.33 11.00 9.29 11.00 7.81 8.00 8.4714.00 9.96 14.00 8.10 14.00 8.84 8.00 7.04

6.00 7.24 6.00 6.13 6.00 6.08 8.00 5.254.00 4.26 4.00 3.10 4.00 5.39 19.00 12.50

12.00 10.84 12.00 9.13 12.00 8.15 8.00 5.567.00 4.82 7.00 7.26 7.00 6.42 8.00 7.915.00 5.68 5.00 4.74 5.00 5.73 8.00 6.89

I II III IV

Source: Anscombe’s Quartet

Page 5: Visualization and the  Big  Health Data Storm

Brain Compatible Data

• Visualization makes data quicker to consume• Images recognition is a 100 millisecond

process – (Aude Oliva 1994 data study)

Page 6: Visualization and the  Big  Health Data Storm

90 Trillion Gb

1.8Trillion Gb

Case for Data VisualizationWorld Trends• 2011: 1.8 Zetta Bytes• 2020: 90 Zetta Bytes

US Trends• 2011: 3.4 Million IT Professionals • 2020: 5.1 Million IT Professionals• Burden of Information

– 2011: 528gb/IT Professional– 2020: 17,312gb/ IT Pro

Page 7: Visualization and the  Big  Health Data Storm
Page 8: Visualization and the  Big  Health Data Storm
Page 9: Visualization and the  Big  Health Data Storm

‘A Plan of the Town of Boston’ 1775

Page 10: Visualization and the  Big  Health Data Storm

Boston 2011Google Maps

Page 11: Visualization and the  Big  Health Data Storm

Boston 2011Google Maps – Transit, Live Traffic Patterns

Page 12: Visualization and the  Big  Health Data Storm

Boston 2011Google Maps – Satellite View

Page 13: Visualization and the  Big  Health Data Storm

Data Policy Data Feedback Loop

Question

Define Metrics

Identify Source Data

Aggregate Data

Produce Visuals

Identify Trends, Outliers

Adjust Policy

Page 14: Visualization and the  Big  Health Data Storm

Medicaid-Relevant Examples

Page 15: Visualization and the  Big  Health Data Storm

LTSS specific visualizations

Dimensions• Transition Speed• Cost of Care• Provider Referrals • Fraud, Waste, and Abuse• Outcomes• Revolving Door (re-institutionalized clients)