Building a Culture of Health Equity Monthly Lecture Series: The Past and Future of Race in Medicine: Building a Health Equity Framework (RECORDING)
Offered By: Stanford University via Independent
Course Description
Overview
Stanford Center for Continuing Medical Education, Building a Culture of Health Equity Monthly Lecture Series: The Past and Future of Race in Medicine: Building a Health Equity Framework (RECORDING), 7/26/2022 11:00:00 AM - 7/26/2025 12:00:00 PM, Internet Enduring Material. Sponsored by Stanford University School of Medicine. Presented by the Stanford Center for Continuing Medical Education, Stanford Medicine HEAL Network (Health Equity Action Leadership), Stanford Medicine REACH Initiative (Racial Equity to Advance a Community of Health), and the Stanford Medicine GME Diversity Committee.
Race has a long history in medicine and medical research. While now generally acknowledged to be a social construct with no basis in biology, genetics, or ancestry, race continues to be a variable in clinical decision-making and health research. This presentation will address 1. What is race and how has it been used in medicine? 2. How is race typically measured in health research? 3. How can the inclusion of race in algorithms for clinical decision-making lead to health care disparities? 4. Why do some researchers ”control” or “correct for” race in statistical analyses and what ramifications can that have? 5. What useful purpose could be served by measuring “race” in clinical care and research? 6. What are some alternatives to race in clinical decision making or research?
Race has a long history in medicine and medical research. While now generally acknowledged to be a social construct with no basis in biology, genetics, or ancestry, race continues to be a variable in clinical decision-making and health research. This presentation will address 1. What is race and how has it been used in medicine? 2. How is race typically measured in health research? 3. How can the inclusion of race in algorithms for clinical decision-making lead to health care disparities? 4. Why do some researchers ”control” or “correct for” race in statistical analyses and what ramifications can that have? 5. What useful purpose could be served by measuring “race” in clinical care and research? 6. What are some alternatives to race in clinical decision making or research?
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