Online database of clinical algorithms with race and ethnicity

8Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Visweswaran, S., Sadhu, E. M., Morris, M. M., Vis, A. R., & Samayamuthu, M. J. (2025). Online database of clinical algorithms with race and ethnicity. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-94152-5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free