Sherri Rose

Sherri Rose, an Associate Professor at Harvard Medical School, delves into pressing data quality issues in healthcare during the COVID-19 pandemic. She emphasizes the critical need for reliable datasets and rigor in research methodologies. The discussion highlights the rise of algorithmic fairness, particularly its importance for marginalized communities, and critiques current standards in causal inference. Sherri also explores the nuances of risk adjustment in healthcare funding, urging a thoughtful engagement with research to better inform healthcare policies.