The inaccuracy of race and ethnicity data found in electronic health records (EHRs) can negatively impact patient care as artificial intelligence (AI) is increasingly integrated into health care. Because hospitals and providers inconsistently collect such data and struggle to accurately classify individual patients, AI systems trained on these datasets can inherit and perpetuate racial bias.
Medical AI systems are failing to disclose inaccurate race and ethnicity information, researchers say
