Synthetic data and health equity: accounting for racism and sexism in health care delivery
If using synthetic data, researchers and policymakers can work to ensure such data accurately reflect downstream effects of social forces in order to mitigate inadvertent harm to minoritized populations.
Authors
- Jaya Aysola (ORCID: https://orcid.org/0000-0002-8474-3682)
- Stephanie Teeple (ORCID: https://orcid.org/0000-0001-7501-7868)
- Laura Muñoz
Institutions
- University of Pennsylvania Health System (US)
- Institute of Informatics of the Slovak Academy of Sciences (SK)
- University of Pennsylvania (US)
Publication Details
- Journal
- Health Affairs Scholar
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1093/haschl/qxaf165
- Primary Topic
- Healthcare Policy and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. National Library of Medicine