Gender and ethnicity bias in medicine: a text analysis of 1.8 million critical care records.

ABSTRACT: Gender and ethnicity biases are pervasive across many societal domains including politics, employment, and medicine. Such biases will facilitate inequalities until they are revealed and mitigated at scale. To this end, over 1.8 million caregiver notes (502 million words) from a large US hospital were evaluated with natural language processing techniques in search of gender and ethnicity bias indicators. Consistent with nonlinguistic evidence of bias in medicine, physicians focused more on the emotions of women compared to men and focused more on the scientific and bodily diagnoses of men compared to women. Content patterns were relatively consistent across genders. Physicians also attended to fewer emotions for Black/African and Asian patients compared to White patients, and physicians dem

SUBMITTER: Markowitz DM 

PROVIDER: S-EPMC9802334 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature