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

Michael P CarySophia BessiasJonathan McCallMichael J PencinaSiobahn D GradyKay S LytleNicoleta J Economou-Zavlanos
Published in: Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing (2024)
As health systems learn how well-intentioned clinical algorithms can potentially perpetuate health disparities, we have an opportunity and an obligation to do better. New efforts empowering nurses to advocate for BE FAIR, involving them in AI governance, data collection methods, and the evaluation of tools intended to reduce bias, mark important steps in achieving equitable healthcare for all.
Keyphrases
  • healthcare
  • mental health
  • artificial intelligence
  • machine learning
  • public health
  • health information
  • deep learning
  • big data
  • electronic health record
  • risk assessment
  • quality improvement
  • social media