Big Data in Public Health

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Taha A. Kass-Hout, MD, MS Director Division of Informatics Solutions and Operations (DISO) BioSense 2.0: Surveillance Solution in the Cloud Big Data for Government Conference Wednesday September 19 th 2012, 10:00am Holiday Inn Rosslyn, Key Bridge, Arlington VA Public Health Surveillance and Informatics Program Office (PHSIPO, Proposed) Office of Surveillance, Epidemiology, & Laboratory Services (OSELS) Any views or opinions expressed here do not necessarily represent the views of the CDC, HHS, or any other entity of the United States government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only, and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.

Transcript of Big Data in Public Health

Page 1: Big Data in Public Health

Taha A. Kass-Hout, MD, MSDirectorDivision of Informatics Solutions and Operations (DISO)

BioSense 2.0: Surveillance Solution in the Cloud

Big Data for Government ConferenceWednesday September 19th 2012, 10:00amHoliday Inn Rosslyn, Key Bridge, Arlington VA

Public Health Surveillance and Informatics Program Office (PHSIPO, Proposed)Office of Surveillance, Epidemiology, & Laboratory Services (OSELS)

Any views or opinions expressed here do not necessarily represent the views of the CDC, HHS, or any other entity of the United States government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only, and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.

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What is Public Health:A View

Public health is "the science and art of preventing disease, prolonging life and promoting health through the organized efforts and informed choices of society, organizations, public and private, communities and individuals”

(1920, C.E.A. Winslow)

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Disease Detection

http://www.nytimes.com/2011/06/14/health/research/14social.html?pagewanted=all

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BioSense 2.0A Novel Model for Sharing Health Care Information and

Beyond

http://biosense2.org | [email protected]

Shared Spaces

Jurisdiction

Public-Access

Health Care Providers

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Shared Spaces

BioSense 2.0A Novel Model for Sharing Health Care Information and

Beyond

EHR

Jurisdiction

Public-Access

Health Care Providers

http://biosense2.org | [email protected]

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Digital Disease DetectionBioSense 2.0 A Novel Model for Sharing Health Information

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Disease Detection

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Disease DetectionMonitoring Emergency Rooms Visits Post H1N1

http://www.google.com/publicdata/explore?ds=z46e2n1b69u8mu_

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Digital Disease DetectionCitizen Reporting (Participatory Surveillance)

http://www.cdc.gov/biosense/correlate | http://www.google.com/trends/correlate

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Feature: Ad-hoc sharing among multiple jurisdictions during a sporting event (e.g., Super Bowl 2012)

BioSense 2.0A Novel Model for Sharing Health Care Information and

Beyond

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Top 20 Conditions in BioSense 2.0 in 2012

BioSense 2.0A Novel Model for Sharing Health Care Information and

Beyond

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Feature: Anomaly detection during heat-wave season

BioSense 2.0A Novel Model for Sharing Health Care Information and

Beyond

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Preventative Care Value of Health Information Exchanges: The ABCDS of

Preventive Health

ABCDS: Low cost preventions that can have a high impact on the overall health of a population A – Aspirin Therapy B – Blood Pressure

monitoring C – Cholesterol Screening D – Diabetes monitoring S – Smoking Cessation

“It’s really a first foray into whether you can repurpose information, not violate patients privacy or expose providers, and use it for something of value and see how health is progressing in the state,” Culver said. “This is a very low cost, with a lot of value.”

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Preventative Care Value of Health Information Exchanges: The ABCDS of

Preventive Health

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Thank YOU!

Public Health Surveillance and Informatics Program Office (PHSIPO, Proposed)Office of Surveillance, Epidemiology, & Laboratory Services (OSELS)

Taha A. Kass-Hout, MD, MSDirectorDivision of Informatics Solutions and Operations (DISO)

Any views or opinions expressed here do not necessarily represent the views of the CDC, HHS, or any other entity of the United States government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only, and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.

@kasshout