Speaker: Dr. Helen Burstin

Title: Coded Bias: Unraveling Race from Clinical Decision Making

Format: In-Person

Objectives:

1. Describe how race and ethnicity have historically been incorporated into clinical algorithms and guidelines, and evaluate the impact of these practices on health equity and patient outcomes.

2. Analyze examples of race-adjusted clinical tools, including eGFR, pulmonary function testing, and VBAC calculators, and discuss current evidence-based approaches to reducing racial and ethnic bias in clinical decision-making.

3. Identify strategies for developing and implementing equitable clinical algorithms and AI-driven decision tools, including the use of representative datasets, transparency, multidisciplinary collaboration, and race-conscious research practices.