Racial differences in laboratory testing as a potential mechanism for bias in AI: A matched cohort analysis in emergency department visits.

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Title: Racial differences in laboratory testing as a potential mechanism for bias in AI: A matched cohort analysis in emergency department visits.
Authors: Chang T; Division of Computer Science and Engineering, University of Michigan, Ann Arbor, Michigan, United States of America., Nuppnau M; Division of Pulmonary and Critical Care, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America., He Y; Division of Pulmonary and Critical Care, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America., Kocher KE; VA Center for Clinical Management Research, Ann Arbor, Michigan, United States of America.; Departments of Emergency Medicine and Learning Health Sciences, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America., Valley TS; Division of Pulmonary and Critical Care, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.; VA Center for Clinical Management Research, Ann Arbor, Michigan, United States of America., Sjoding MW; Division of Pulmonary and Critical Care, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America., Wiens J; Division of Computer Science and Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.
Source: PLOS global public health [PLOS Glob Public Health] 2024 Oct 30; Vol. 4 (10), pp. e0003555. Date of Electronic Publication: 2024 Oct 30 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 9918283779606676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3375 (Electronic) Linking ISSN: 27673375 NLM ISO Abbreviation: PLOS Glob Public Health Subsets: PubMed not MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Chang+T%22">Chang T</searchLink>; Division of Computer Science and Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22Nuppnau+M%22">Nuppnau M</searchLink>; Division of Pulmonary and Critical Care, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22He+Y%22">He Y</searchLink>; Division of Pulmonary and Critical Care, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22Kocher+KE%22">Kocher KE</searchLink>; VA Center for Clinical Management Research, Ann Arbor, Michigan, United States of America.; Departments of Emergency Medicine and Learning Health Sciences, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22Valley+TS%22">Valley TS</searchLink>; Division of Pulmonary and Critical Care, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.; VA Center for Clinical Management Research, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22Sjoding+MW%22">Sjoding MW</searchLink>; Division of Pulmonary and Critical Care, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22Wiens+J%22">Wiens J</searchLink>; Division of Computer Science and Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.
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  Data: <searchLink fieldCode="JN" term="%229918283779606676%22">PLOS global public health</searchLink> [PLOS Glob Public Health] 2024 Oct 30; Vol. 4 (10), pp. e0003555. <i>Date of Electronic Publication: </i>2024 Oct 30 (<i>Print Publication: </i>2024).
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