Evaluation of race, ethnicity, and language mischaracterizations in the electronic medical record for Hispanic/Latinx patients
Significant inaccuracies in race, ethnicity, and language data documentation hinder equitable care. Addressing these gaps requires standardized documentation protocols, staff training, and objective language assessment tools to improve interpreter utilization and mitigate disparities for NELP patients.
Authors
- Robert Agans (ORCID: https://orcid.org/0000-0003-2084-3964)
- Andrew G. Blank
- Carlton Moore (ORCID: https://orcid.org/0000-0001-7732-4829)
- Lauren Raff (ORCID: https://orcid.org/0000-0003-3979-5886)
- M. Alpizar
- Emily Bulik-Sullivan (ORCID: https://orcid.org/0000-0002-3279-7240)
- Evan Raff (ORCID: https://orcid.org/0000-0002-5783-858X)
- Alan Johnston (ORCID: https://orcid.org/0009-0003-5689-9115)
- Yang Lee (ORCID: https://orcid.org/0000-0001-6008-9404)
- Morgan Beauchamp
- Ricardo Crespo Regalado (ORCID: https://orcid.org/0009-0002-7746-1772)
- Veronica Cifuentes
- Christina Cobos
Institutions
- University of North Carolina at Chapel Hill (US)
- University of North Carolina Hospitals (US)
- Department of Health (ZA)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251386884
- Primary Topic
- Interpreting and Communication in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00