Data inclusion is needed for health equity

One of the biggest barriers in using AI clinical algorithms to reduce health disparities is the need for representative data sets, says Dr. Keisuke Nakagawa, director of innovation at UC Davis Health and co-chair of the HIMSS SDOH Committee.