Nov 15 Data inclusion is needed for health equity HIMSS TV 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. News Ending racism in healthcare often begins with medical education - and is the target of a new national project Inequities can be found in every facet of the industry, but targeting medical students and residents can help stem the tide. Healthcare organizations ask HHS to delay quality measure reporting for ACOs The American Hospital Association and American Medical Association are among the 11 organizations signing the letter.