Algorithmic bias in health care: Opportunities for nurses to improve equality in the age of artificial intelligence
Siobhan O’Connor - Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, United Kingdom; Richard G. Booth - The Arthur Labatt Family School of Nursing, Western University, London, Ontario, Canada
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Artificial Intelligence (AI) consists of a range of sophisticated computational techniques, encompassing machine learning algorithms and natural language processing among others, that are lauded as a way to improve clinical decision making, patient care, and health service delivery. A recent systematic review of AI in nursing and midwifery found many clinical, managerial, and educational applications of these predictive algorithms over the last 20 years covering areas such as wound care, critical care, falls, infection control, emergency care, older adult care, and education among others... Despite numerous identified benefits of AI in health care, it can also introduce a host of risks – one of the most pressing being algorithmic bias.
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|Citation||O'Connor, S., & Booth, R. G. (2022). Algorithmic bias in health care: Opportunities for nurses to improve equality in the age of Artificial Intelligence. Nursing Outlook, 70(6), 780–782. https://doi.org/10.1016/j.outlook.2022.09.003|
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