Empowering nurses to champion Health equity & BE FAIR: Bias elimination for fair and responsible AI in healthcare.

Journal: Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
PMID:

Abstract

BACKGROUND: The concept of health equity by design encompasses a multifaceted approach that integrates actions aimed at eliminating biased, unjust, and correctable differences among groups of people as a fundamental element in the design of algorithms. As algorithmic tools are increasingly integrated into clinical practice at multiple levels, nurses are uniquely positioned to address challenges posed by the historical marginalization of minority groups and its intersections with the use of "big data" in healthcare settings; however, a coherent framework is needed to ensure that nurses receive appropriate training in these domains and are equipped to act effectively.

Authors

  • Michael P Cary
    School of Nursing, Duke University, Durham, NC; Duke AI Health, Duke University School of Medicine, Durham, NC. Electronic address: michael.cary@duke.edu.
  • Sophia Bessias
    Duke AI Health, Duke University School of Medicine, Durham, NC.
  • Jonathan McCall
    Duke AI Health, Duke University School of Medicine, Durham, NC.
  • Michael J Pencina
    Duke Clinical Research Institute, Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina.
  • Siobahn D Grady
    Library and Information Sciences, North Carolina Central University, Durham, NC.
  • Kay Lytle
    Duke University Health System, Durham, North Carolina, USA.
  • Nicoleta J Economou-Zavlanos
    Duke University School of Medicine, Durham, North Carolina, USA.