Algorithmic bias in health care: Opportunities for nurses to improve equality in the age of artificial intelligence
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Siobhán 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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- The University of Manchester, Manchester, United Kingdom
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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 improved 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.
The authors of this work did not submit this material directly to the Sigma Repository. This work is indexed and appears in the Sigma Repository pursuant to a Creative Commons Attribution 4.0 International License attached to the work upon its publication in the journal acknowledged in this record. Please refer to the attached license (the icon at the bottom of this entry) for further information and terms. All terms of the license have been followed. There are no changes in this article from the original posting
Type | Article |
Acquisition | Indexed from External Source (Per Rights Granted in Creative Commons License) |
Review Type | External Review: Previously Published Material |
Format | Text-based Document |
Evidence Level | N/A |
Research Approach | N/A |
Keywords | Algorithms; Artificial Intelligence; Bias; Health Care; Machine Learning; Natural Language Processing; Neural Networks; Nursing |
Publisher | Elsevier |
Date | 2022-11-14 |
Version | Publisher’s Version |
DOI | https://doi.org/10.1016/j.outlook.2022.09.003 |
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. http://hdl.handle.net/10755/22924. |
ISSN | 0029-6554 |
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