City Data, New Frameworks & Solutions for Health Disparities

Oct 24, 2017

Session Description

How do we compare health outcomes and health disparities within cities and between cities? Does the data exist? What are some innovative data sources, as well as methods, that can be used to gain new insights into the health of cities? Do the policy frameworks exist to understand the data and the implications for its use? Is that knowledge transferred into new healthy community policy approaches? Several new leading edge national projects are beginning to fill that gap. How can we create more localized data to inform and reallocate precious local resources to address health disparities and outcomes? Several projects have been at the forefront of solving the health data challenge:

— 500 Cities – a new localized data portal developed by the RWJ Foundation, CDC and CDC Foundation

— A new data platform that measures life expectancy at birth for every census tract in the country

— Boston Children’s Hospital Digital Health Accelerator which is leveraging nontraditional digital data streams (e.g., social media, search engine data, wearable technologies and mobile devices – collectively known as an individual’s ‘digital phenotype’) for health research and software development.

—  Air Louisville – a new solution to addressing low air quality and the associated health risks in the Ohio River Valley air quality with big-data and neighborhood-level solutions.

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Speakers

Moderator: Oktawia Wójcik, Program Officer, Robert Wood Johnson Foundation

Dr. Jared HawkinsDirector of Informatics, Innovation and Digital Health Accelerator, Boston Children’s Hospital

Veronica Combs, Executive Director, Institute for Healthy Air Water and Soil

Discussion

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1 Comment

  1. Less a question and more of a comment to point the group on stage to the NE Big Data Hub’s Exposome Healthcare Project that may be relevant to all of the panelists (http://nebigdatahub.org/big-data-spoke-projects/)…see “Integration of Environmental factors…” project. Happy to discuss if helpful.

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