Work

Competing interests: digital health and indigenous data sovereignty

Year: 2024

Type: review

Abstract: Digital health is increasingly promoting open health data. Although this open approach promises a number of benefits, it also leads to tensions with Indigenous data sovereignty movements led by Indigenous peoples around the world who are asserting control over the use of health data as a part of self-determination. Digital health has a role in improving access to services and delivering improved health outcomes for Indigenous communities. However, we argue that in order to be effective and ethical, it is essential that the field engages more with Indigenous peoples´ rights and interests. We discuss challenges and possible improvements for data acquisition, management, analysis, and integration as they pertain to the health of Indigenous communities around the world.

Source: npj Digital Medicine

DOI: 10.1038/s41746-024-01171-z

Authors: Ashley Cordes, Marieke Bak, Mataroria Lyndon, Maui Hudson, Amelia Fiske, Leo Anthony Celi, Stuart McLennan

Institutions: University of Oregon, Amsterdam University Medical Centers, Technical University of Munich, University of Amsterdam, University of Auckland, University of Waikato, Beth Israel Deaconess Medical Center, Harvard University, Massachusetts Institute of Technology, University of Basel

Language: English

Topic: Indigenous Health, Education, and Rights

Subfield: Health

Field: Social Sciences

Domain: Social Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: gold

Estimated APC paid: $3,790

Funders: National Science Foundation, U.S. Department of Health and Human Services, National Institutes of Health, Fogarty International Center, National Institute of Biomedical Imaging and Bioengineering

Awards: A Learning Ecosystem for Teaching High School Students Machine Learning Concepts and Data Science Skills in Healthcare and Medicine, Bridge2AI: Patient-Focused Collaborative Hospital Repository Uniting Standards (CHoRUS) for Equitable AI, G4683560856, Critical Care Informatics, G7075035638, G7897474063, MUST Data Science Research Hub (MUDSReH)

OpenAlex ID: W4400317090

FWCI: 2.39

Cites: 35

Cited by: 25

Related to: 10