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Community ResilienceEquitable Practices for an Uncertain Future$
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Alonzo L. Plough

Print publication date: 2021

Print ISBN-13: 9780197559383

Published to Oxford Scholarship Online: April 2021

DOI: 10.1093/oso/9780197559383.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 24 October 2021

Digital Data, Ethical Challenges

Digital Data, Ethical Challenges

Sara Holoubek, MBA, CEO, Luminary Labs

Camille Nebeker, EdD, MS, Associate Professor, Family Medicine and Public Health, School of Medicine, University of California, San Diego; Co-Founder and Director, Research Center for Optimal Digital Ethics—Health (ReCODE.Health)

Paul Tarini, MA, Senior Program Officer, Robert Wood Johnson Foundation

(p.193) 13 Digital Data, Ethical Challenges
Community Resilience
Alonzo L. Plough
Oxford University Press

Chapter 13 helps to sort out the public health features of our remarkable new digital world. How will data interface with existing clinical records? Sara Holoubek brings her experience as CEO and founder of Luminary Labs, a strategy and innovation consultancy that works with corporate, nonprofit, and government organizations. Camille Nebeker approaches these issues from an academic perspective, having developed the Research Center for Optimal Digital Ethics (ReCODE) at the University of California, San Diego. Robert Wood Johnson Foundation’s Paul Tarini offers insight from the foundation’s decade-plus commitment to identifying and promoting technology that can advance people’s ability to lead healthy lives. All agree that while there is much to embrace with enthusiasm, there is also reason to proceed with caution. The end of this chapter offers an eye-opening look at the vast scope of data potentially available for analysis.

Keywords:   community resilience, health equity, Culture of Health, health data, digital ethics, digital data, digital health, personal health records, algorithmic bias, megadata

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