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Origins of Racial and Ethnic Bias in Pulmonary Technologies.
Sjoding, Michael W; Ansari, Sardar; Valley, Thomas S.
Afiliação
  • Sjoding MW; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA; email: msjoding@umich.edu, valleyt@med.umich.edu.
  • Ansari S; Weil Institute for Critical Care Research and Innovation, Ann Arbor, Michigan, USA; email: sardara@med.umich.edu.
  • Valley TS; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.
Annu Rev Med ; 74: 401-412, 2023 01 27.
Article em En | MEDLINE | ID: mdl-35901314
ABSTRACT
Understanding how biases originate in medical technologies and developing safeguards to identify, mitigate, and remove their harms are essential to ensuring equal performance in all individuals. Drawing upon examples from pulmonary medicine, this article describes how bias can be introduced in the physical aspects of the technology design, via unrepresentative data, or by conflation of biological with social determinants of health. It then can be perpetuated by inadequate evaluation and regulatory standards. Research demonstrates that pulse oximeters perform differently depending on patient race and ethnicity. Pulmonary function testing and algorithms used to predict healthcare needs are two additional examples of medical technologies with racial and ethnic biases that may perpetuate health disparities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Etnicidade / Disparidades em Assistência à Saúde Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Etnicidade / Disparidades em Assistência à Saúde Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article