Racial Misclassification of American Indian and Alaska Native People in the Electronic Medical Record: An Unexpected Hurdle in a Retrospective Medical Record Cohort Study
Electronic health record data represent a rich data source; however, data accuracy must be considered prior to reporting health outcomes among American Indian and Alaska Native people. Using a hybrid approach to harmonizing data from multiple sources represents a valid method of assessing data integrity in this population.
Authors
- Christopher C. DeStephano (ORCID: https://orcid.org/0000-0002-7753-3599)
- Jamie Felzer (ORCID: https://orcid.org/0000-0002-9317-950X)
- Cassie C. Kennedy (ORCID: https://orcid.org/0000-0003-3219-165X)
- Alanna M. Chamberlain (ORCID: https://orcid.org/0000-0003-1888-9584)
- Matthew A. Rank (ORCID: https://orcid.org/0000-0001-7593-4762)
- Christi A. Patten (ORCID: https://orcid.org/0000-0002-7194-8160)
- Yvonne Bui (ORCID: https://orcid.org/0000-0002-7414-2461)
- Ann M. Rusk (ORCID: https://orcid.org/0000-0003-1871-9278)
- Roberto P. Benzo (ORCID: https://orcid.org/0000-0001-8557-9987)
Institutions
- Emory University (US)
- Jacksonville College (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-06-11
- DOI
- https://doi.org/10.2196/73086
- Primary Topic
- Race, Genetics, and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00