https://www.selleckchem.com/products/unc0642.html
Little is known about how racism and bias may be communicated in the medical record. This study used machine learning to analyze electronic health records (EHRs) from an urban academic medical center and to investigate whether providers' use of negative patient descriptors varied by patient race or ethnicity. We analyzed a sample of 40,113 history and physical notes (January 2019-October 202 from 18,459 patients for sentences containing a negative descriptor (for example, resistant or noncompliant) of the patient or the patient's beha
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