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Big Data and Population Health: SBM 2015

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Using Big Data for Population Health Bradford W. Hesse, PhD Chief, Health Communication and Informatics Research Branch
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Page 1: Big Data and Population Health: SBM 2015

Using Big Data for Population Health

Bradford W. Hesse, PhDChief, Health Communication and Informatics Research Branch

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Apple Announces “Research Kit” in March 2015: “Share the Journey” in Breast Cancer

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Source: Hesse, B. W. (2008). Of mice and mentors: developing cyber-infrastructure to support transdisciplinary scientific collaboration. Am J Prev Med, 35(2 Suppl), S235-239.

Augmenting Human Intellect

Three Conditions:

Make intuitive

Connect knowledge

Connect people

Make intuitive

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Inform Support Decisions

Educate Persuade

Nelson, Hesse, Croyle, 2009

Make intuitive

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Knowledge in the Head*

Knowledge in The World*

Task Relevant Schemata

General model

Norman, D. A. (1988). The psychology of everyday things. New York, Basic Books.

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Chapter 4: Visual Displays

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SOURCE: http://alleydog.com/topics/sensation_and_perception.php

Perceptual Basics

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source: Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension. J Educ Psychol. 1999, 91(4): 690-702.

• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

Cognitive / Perceptual Research

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source: Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension. J Educ Psychol. 1999, 91(4): 690-702.

• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

Visualizing Long Term Change

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• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

Hans Rosling, BBC

Visualizing Change Dynamically

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Monitoring for Change in EHR Systems Aging In Place, Intel

Rule of Thumb* for “Big Data” Systems

• Overview

• Zoom / filter

• Details on demand

*Ben Shneiderman, R01   CA172732-01

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Overcome “small numbers” bias

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Exceptional Case

Fallacy of small numbers;Tversky & Kahneman, 1971

Illnesses322,000,000

Hospitalizations21,000,000

Prevented

Deaths732,000

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Fagerlin, A., Ubel, P. A., Smith, D. M., & Zikmund-Fisher, B. J. (2007). Making numbers matter: present and future research in risk communication. Am J Health Behav, 31 Suppl 1, S47-56.

Icon arrays designed to convey natural frequencies

Angie Fagerlin Brian Zikmund-Fisher

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Introducing a Dynamic DimensionChoropleth Maps: CDC Obesity Trends, BRFSS 1985

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Nonsegmented geographic data

Isopleth “Weather Maps,” HINTS

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Juxtaposing geographic distributions

Mortality Maps (SEER): Lung Cancer Mortality

For Example: Knowledge Maps (HINTS): Does Smoking Cause Cancer?

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Added User Controls 14 datasets spanning 6 years

NSF, NIH Collaboration

Disolving Barriers Between Clinical and Community Health

source: Hesse, Bradford W. (2007). Public Health Informatics. In M. C. Gibbons (Ed.), eHealth Solutions for Healthcare Disparities (pp. 109-129). New York, NY: Springer.

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“Simplicity is about

subtracting the obvious, and

adding the meaningful.”*

*Maeda, J. (2006). The laws of simplicity. Cambridge, Mass., MIT Press.

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National Committee on Vital and Health

Statistics, 2001

Connect knowledge (data)

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Hesse BW. Public Health Informatics. In: Gibbons MC, editor. eHealth Solutions for Healthcare Disparities. New York, NY: Springer; 2007. p. 109-129.

Healthcare Provider: Data to Inform Care

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Healthcare Provider: Creating a “Learning Healthcare System”

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Learning Healthcare System

Healthcare Provider: Improving Quality of Care

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Clinical / Public Health: Empowering hospitals to manage population health

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See also: Hesse BW, Nelson DE, Rutten LF, Moser RP, Beckjord EB, Chou W-YS. National Health Communication Surveillance Systems. In: D. K. Kim ASGLK, ed. Global Health Communication Strategies in the 21st Century: Design, Implementation, and Evaluation. New York, NY: Peter Lang; In Press.

.

Public Health: Connecting knowledge on the public health side

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Public Health: Enabling community action by connecting community data systems

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Public Health: Enabling “Smart Cities”

Kevin Patrick

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Public Health: Data mining in social media space.

Georgia Tourassi

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Public / Personal: “Data Altruism:” Donating personal data for the public good

“I’m happy to contribute [my data] if it could contribute to, say, a larger study where there could be some additional knowledge.”

-Individual

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Personal Health: Use personal data to track progress, nudge behavior, share decisions

Health Kit

ResearchKit

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Personal / Clinical: E.g., Sensor-based monitoring to reduce risk of dehydration

Karen Basen-Engquist

Susan Peterson

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Personal / Clinical / Public: Kaiser Southern California, Personal Health Plan

“We use online Personal Action Plans (health alerts, data visualizations, reminders, personalized content, email), and results are impressive:”

Within 90 days of identifying a care gap … 6X pap screens completed, … 6X mammograms completed, … 10 X CRC screening completed

Nirav ShahVP & COO,

Kaiser So Cal

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Clinical / Personal / Public Health: Reducing disparities: Colon Cancer

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Deficits in:

Usability

Interoperability

Communication

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Connect people

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Connect people

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Connect people

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“What research question would you ask if you had access to all the data in

the world?”

Fortune Magazine, January 2007

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Test question from Google to potential academic partners (most failed).

November 18, 2014 by Colin Carson10-15 exabytes

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Can we identify gene variants that modulate drug efficacy when searching through p values for associations between

Single Nucleotide Polymorphisms & phenotype?

Manhattan Plot

Genome Wide Association Studies

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What questions will you ask?

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http://ann.sagepub.com/content/current Thank you!

Slideshare.nethttp://www.slideshare.net/BradfordHesse


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