Machine learning evaluation of inequities and disparities associated with nurse sensitive indicator safety events.

Erika R Georgantes Fatma Gunturkun T J McGreevy Mary E Lough

Published in: Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing (2024)

Machine learning methodologies provide a new mechanism to investigate NSI events through the lens of health equity/disparity. Understanding which patients are at higher risk for adverse outcomes can help hospitals improve nursing care and prevent NSI injury and harm.

Keyphrases

machine learning
end stage renal disease
healthcare
ejection fraction
public health
newly diagnosed
artificial intelligence
chronic kidney disease
primary care
big data
mental health
peritoneal dialysis
prognostic factors
deep learning
risk assessment
patient reported outcomes
health information