Examining The History, Consequences, and Effects of Race-Based Clinical Algorithms on Health Equity: A Workshop
algorithmic-biashealth-equityclinical-algorithmsracemedical-ai
Abstraction: National Academies workshop on racial bias in health prediction algorithms
Key points:
- National Academies 2023 virtual workshop examining race-based clinical prediction algorithms and their contribution to health inequities
- Many health system algorithms exhibit significant racial bias, resulting in millions of people of color being medically overlooked or treated disparately
- Workshop explored whether assumptions of racial differences in physiology embedded in clinical tools are valid or harmful
- Discussed parameters for when race/ethnicity as social constructs are legitimate inputs for improving health equity (e.g., targeted outreach, screening programs)
- Resulting proceedings-in-brief covers promoting race-conscious medicine as a corrective strategy
Connections: National Academies · Algorithmic Bias · Health Equity · Clinical Decision Support