Negative Patient Descriptors: Documenting Racial Bias in the Electronic Health Record

This study used machine learning to analyze electronic health records from an urban academic medical center and to investigate whether providers’ use of negative patient descriptors varied by patient race or ethnicity.

Resource Details

• Geographic Areas of Implementation: Urban
• Topics of Practice: Data Collection and Analysis
• Outcomes of Interest: Improve Data Infrastructure
• Level of Evidence: Novel
• Tools or Materials Included in Resource: No
• Social Determinants of Health: Healthcare Access and Quality|Social and Community Context
• Outside of US: No