2020
DOI: 10.1016/j.jnma.2020.05.010
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Colorblind Algorithms: Racism in the Era of COVID-19

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Cited by 11 publications
(8 citation statements)
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“…Inconsistencies in racial data collection at the hospital level may also reflect different conceptualizations of the importance of racial awareness in addressing disparities in care. Color-blind systems have not been shown to be an effective way to address racial disparities in healthcare access or outcome 45. Instead, explicit awareness of how implicit and explicit biases affect care has greater utility in improving the experience of Black and other patients of color 46.…”
Section: Discussionmentioning
confidence: 99%
“…Inconsistencies in racial data collection at the hospital level may also reflect different conceptualizations of the importance of racial awareness in addressing disparities in care. Color-blind systems have not been shown to be an effective way to address racial disparities in healthcare access or outcome 45. Instead, explicit awareness of how implicit and explicit biases affect care has greater utility in improving the experience of Black and other patients of color 46.…”
Section: Discussionmentioning
confidence: 99%
“…The Clinical Setting-Expanding Precision Medicine Beyond "Omics" Data observing inaccurate oximetry readings led to proposals for higher Spo 2 targets in diverse populations to safeguard against desaturation (11). Race is a social construct, so race-based clinical algorithms are not recommended as they perpetuate disparate outcomes for underrepresented races and/or ethnicities, and reinforce dangerous notions of biologic determinism (40)(41)(42). While "race" inadequately groups individuals with different lived experiences into socially derived categories, a patient's skin pigmentation is a unique signature.…”
Section: Stricter Regulatory Requirementsmentioning
confidence: 99%
“…For example, Black and Hispanic patients with COVID‐19 have higher risk of hospitalization and death compared to White patients with COVID‐19 18,19 . To address this, some scholars now endorse incorporating SDOH into algorithms for allocating scarce lifesaving resources, such as ventilators, cautioning against a “colorblind” approach 20–22 . From a legal standpoint, some groups caution against allocation based on race/ethnicity due to ethical objections to reverse discrimination, although they support priority decisions based in objective data designed to capture disadvantaged populations, such as the area deprivation index (ADI) 23–25 …”
Section: Proposed Approaches To Prioritization Of Children With Allmentioning
confidence: 99%