Online database of clinical algorithms with race and ethnicity

Some clinical algorithms incorporate an individual's race, ethnicity, or both as an input variable or predictor in determining diagnoses, prognoses, treatment plans, or risk assessments. Inappropriate use of race and ethnicity in clinical algorithms at the point of care may exacerbate health disparities and promote harmful practices of race-based medicine. Using database analysis primarily, we identified 42 risk calculators that use race and ethnicity as predictors, five laboratory test results with reference ranges that differed based on race and ethnicity, one therapy recommendation based on race and ethnicity, 15 medications with race- and ethnicity-based initiation and monitoring guidelines, and five medical devices with differential racial and ethnic performances. Information on these clinical algorithms is freely available at https://www.clinical-algorithms-with-race-and-ethnicity.org/ . This resource aims to raise awareness about the use of race and ethnicity in clinical algorithms and track progress toward eliminating their inappropriate use. The database is actively updated to include clinical algorithms that were missed and additional characteristics of these algorithms.

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Publication Details

Journal
Scientific Reports
Published
2025-03-29
DOI
https://doi.org/10.1038/s41598-025-94152-5
Citations
6
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
15.78
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article

Online database of clinical algorithms with race and ethnicity

Eugene M. Sadhu, Michele Morris, Shyam Visweswaran, Malarkodi Jebathilagam Samayamuthu et al.
6 citations
Scientific Reports
Statistical Methods in Clinical Trials
15.78
article

Online database of clinical algorithms with race and ethnicity

Eugene M. Sadhu, Michele Morris, Shyam Visweswaran, Malarkodi Jebathilagam Samayamuthu, Anushka R. Vis
article en
6 citations

Abstract

Some clinical algorithms incorporate an individual's race, ethnicity, or both as an input variable or predictor in determining diagnoses, prognoses, treatment plans, or risk assessments. Inappropriate use of race and ethnicity in clinical algorithms at the point of care may exacerbate health disparities and promote harmful practices of race-based medicine. Using database analysis primarily, we identified 42 risk calculators that use race and ethnicity as predictors, five laboratory test results with reference ranges that differed based on race and ethnicity, one therapy recommendation based on race and ethnicity, 15 medications with race- and ethnicity-based initiation and monitoring guidelines, and five medical devices with differential racial and ethnic performances. Information on these clinical algorithms is freely available at https://www.clinical-algorithms-with-race-and-ethnicity.org/ . This resource aims to raise awareness about the use of race and ethnicity in clinical algorithms and track progress toward eliminating their inappropriate use. The database is actively updated to include clinical algorithms that were missed and additional characteristics of these algorithms.

Scientific ReportsVol. 15(1)
University of Pittsburgh (US)
Reduced inequalities
Openalex Percentile: Top 1%
Statistical Methods in Clinical Trials
15.78
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Online database of clinical algorithms with race and ethnicity — Eugene M. Sadhu, Michele Morris, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS