How patients are described in their medical records matter
In this Health Affairs article, you'll learn about:
- How racism and bias were studied in medical records using machine learning
" We analyzed a sample of 40,113 history and physical notes (January 2019–October 2020) from 18,459 patients for sentences containing a negative descriptor (for example, resistant or noncompliant) of the patient or the patient’s behavior. "
- The prevalence of negative descriptors for Black patients versus White
" Compared with White patients, Black patients had 2.54 times the odds of having at least one negative descriptor in the history and physical notes."
- How negative stigmatizing language can adversely effect health disparities
" Goddu and colleagues observed in their study of hypothetical chart notes that explicitly stigmatizing language (that is, language that conjured up negative stereotypes) negatively affected respondents’ attitudes toward the patient and resulted in less aggressive pain management plans.15 "