Health IT Analytics September 23, 2021
SOFA scores using predictive analytics could cause health disparities among diverse populations when allocating COVID-19 resources and treatment.
Yale University researchers suggest that a standard measurement that uses predictive analytics to determine which COVID-19 patients have the best chances of survival could promote health disparities among diverse populations.
Throughout the COVID-19 pandemic, physicians in some areas have had to make difficult decisions regarding which patients should receive scarce health care resources.
With predictive analytics, providers can identify which patients have the best chance of survival and allocate resources and treatments to them. However, researchers indicate that these standards could negatively impact racial and ethnic minority populations.
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