3 Keys to Addressing Bias in Health Data and Algorithms and Why it Matters
Underserved and marginalized populations in the United States and across the world have long suffered from unequal access to the basic human need of healthcare based on factors that should not be relevant: race, gender, ethnicity, geographic location and income, says Maryland Smith’s Ritu Agarwal in a recent American Medical Association “Making the Rounds” podcast.