Applying anti-racist approaches to informatics: a new lens on traditional frames

Author:

Platt Jodyn1ORCID,Nong Paige2ORCID,Merid Beza3,Raj Minakshi4,Cope Elizabeth56,Kardia Sharon7,Creary Melissa2

Affiliation:

1. Department of Learning Health Sciences, University of Michigan Medical School , 300 North Ingalls, Suite 1161 , Ann Arbor, Michigan, USA

2. Department of Health Management and Policy, University of Michigan School of Public Health , Ann Arbor, Michigan, USA

3. School for the Future of Innovation in Society, Arizona State University , Tempe, Arizona, USA

4. Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana Champaign , Champaign, Illinois, USA

5. AcademyHealth , Washington, , USA

6. District of Columbia , Washington, , USA

7. Department of Epidemiology, University of Michigan School of Public Health , Ann Arbor, Michigan, USA

Abstract

Abstract Health organizations and systems rely on increasingly sophisticated informatics infrastructure. Without anti-racist expertise, the field risks reifying and entrenching racism in information systems. We consider ways the informatics field can recognize institutional, systemic, and structural racism and propose the use of the Public Health Critical Race Praxis (PHCRP) to mitigate and dismantle racism in digital forms. We enumerate guiding questions for stakeholders along with a PHCRP-Informatics framework. By focusing on (1) critical self-reflection, (2) following the expertise of well-established scholars of racism, (3) centering the voices of affected individuals and communities, and (4) critically evaluating practice resulting from informatics systems, stakeholders can work to minimize the impacts of racism. Informatics, informed and guided by this proposed framework, will help realize the vision of health systems that are more fair, just, and equitable.

Funder

NIH

NIBIB

Public Trust of Artificial Intelligence in the Precision CDS Health Ecosystem

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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